A Proven Process for Integrating AI into Your Systems

3 Stages for Integrating AI into Your Products, Workflows, and Technology

When integrating AI into your business, product, and UX development processes, the best approaches combine research and experimentation. As you uncover, explore, and test opportunities to drive impact with AI, you must remain intentional and open-minded at every step. Large language models (LLMS), in particular, are easy to connect to applications. On the other hand, figuring out how well they perform in specific situations and optimizing their performance is complex and unpredictable. 

Below is the three-stage process Robots & Pencils uses to solve these problems and align leading LLM technology with your strategic goals. These stages offer a well-planned trajectory for integrating AI while rapidly de-risking efforts and accelerating return on investment.

Stage 1: AI Strategy and Planning 

This stage involves learning, understanding, and aligning stakeholders around your top AI use case or product opportunity. Clients will undergo a guided discovery process. Specifically, you and your teams will consider what product or process you want to optimize. You’ll discuss short- and long-term goals and decide how to measure success. You’ll also identify known risks. With this information, you can begin to select and prioritize features for your AI-based product.

At this point, our consultants support you in thinking about change management. Addressing this early will help employees stay aligned and on board with integrating AI into their workflows. Proper change management prevents changes from seeming too abrupt. It also alleviates fears about AI and its implications for your team’s jobs.

You can often complete the planning stage in a couple of weeks. However, expect to return to it regularly for different applications and business opportunities. 

Stage 2: Risk and Solution Exploration

In stage 2, you explore and address risks to pave the way for a smooth road ahead. Here, we help you build out and determine how AI integrates and engages your technologies and systems. This phase focuses on defining the UI framework, platform, prompts, tech, data, sources, and training models. We cover everything you need for building a new product or integrating AI into an existing system. As we analyze front- and back-end requirements, our designers create illustrative flows for the UI. At the same time, our engineers experiment with conversational prompts. The goal is to determine what best generates the desired conversational flows. 

Together, we will locate essential tools, technologies, and integrations we can leverage to build the platform. We will identify data sources, ML models, and custom training needs. This stage also covers evaluating tools and platforms that may accelerate learnings or actual product-build efforts. We also collaborate with you to identify industry-specific regulations and other business risks. As needed, we consult legal or compliance teams to de-risk these items ahead of development and launch.

Stage 3: Prototyping and Development

In this stage, we bring your ideas to life with a functional AI-powered prototype. Here, we design and build your Proof of Concept, connect integrations, and measure and test efficacy.We focus on the experience first and iteratively refine AI prompts. From there, we measure the consistency and quality of the AI output and perform usability testing. 

To provide an experience you and other stakeholders can easily interact with, we prototype the key UI features that govern the expression of the LLM. These features can include chat, visualization, and video. On the back end, we connect the prototype front end to the LLM, data sources, and other functional integrations. This period is also an opportunity for building a road map with project findings, prioritized features, and remaining risks.

Keys to Successfully Integrating AI into Your Tech

Applying design thinking to your LLM project is imperative to success in every stage. In design thinking, you empathize with and prioritize user needs in selecting and defining product features. This approach ensures that the resulting product aligns with actual use cases and directly addresses user challenges and desires. 

Another vital step is de-risking features to identify potential pitfalls or challenges early on. Using Agile development is also valuable. Agile installs a safety rail for your feature development. It enables incremental improvements, feedback loops, and adaptability so that your AI prototype evolves efficiently and effectively to meet the desired outcomes.

In all, the process of introducing AI will vary for everyone. Still, by following a systematic framework like the one above, your company can better navigate the complexities of AI implementation. Using a proven framework will ensure a strategic and effective deployment of artificial intelligence technologies for your employees and customers.

Ready to get started on your LLM project?

Learn more about our AI & Data Science practice online, and email us at hello@robotsandpencils.com!

Insurance Digital Transformation Challenges and Solutions 

5 Challenges Slowing Down Insurance Digital Transformation

As insurance providers modernize and optimize products and experiences, challenges are unavoidable. In this blog, we look at the top issues in digital transformation that insurance companies face and how to overcome them.

 1. Paper Problems 

Are you switching from paper-based processes to online, automated workflows? If so, it’s crucial to incorporate modern customer and employee expectations into your transition. In other words, don’t just move an analog process to a digital space. First, evaluate your existing paper process. What works? What’s broken? What would be easier for the people involved? Now is the chance to improve your processes. Rebuild them around what customers, employees, or brokers actually want.  

UX specialists can provide services and expertise in building system architecture and workflows to support user needs. They can do research and usability tests that help you make strategic choices for your customers and employees. Designing new processes with users at the center will ultimately boost adoption and satisfaction. 

2. Too Many Clicks 

Dealing with insurance can be tedious. Anyone will admit it. So many tasks are involved. There’s policy selection, data entry, verification, and payment processing, to name just a few. These steps can add up to a ton of clicks and frustrate users. Some users may eventually give up. Customers may even switch providers.

To streamline your workflows and keep customers engaged, analyze your current processes and user journeys. Look for bottlenecks, unnecessary steps, and areas for improvement. There are often multiple places to simplify processes by integrating systems and automating repetitive tasks. With your findings, you can design a more efficient experience. Even something like adding intelligent form autofill can save employees and customers time. 

By applying UX design best practices during a digital transformation, insurance companies can create experiences that save everyone time. As a result, work will get done faster, and customers and employees will be happier. 

3. Varying Customer Preferences

Creating products that meeting customer preferences is a key part of digital transformation in insurance and elsewhere. However, different customer groups have varying insurance needs and preferences. For instance, younger customers want digital convenience and personalization. On the other hand, older customers value traditional customer service and comprehensive coverage. This variability can pose challenges in product development.

To address these challenges, companies can create products with distinct views and offerings for each customer segment. They can also empower staff to customize products for each customer. Customers and employees should be able to easily personalize insurance packages based on risk profiles, life stages, or preferences.

Having communication options, such as social media, email, chat, phone, and mail, also helps you cater to customer preferences. To get this right, not only should every channel be easily accessible, but all interactions must be tracked and integrated into the digital platform. This connectivity will allow customers to jump seamlessly from one channel to the next. However they want to communicate, everyone should have a personalized and positive experience. 

4. Risky Business

Delivering highly personalized experiences starts with data. Yet insurance information is full of sensitive personal and financial data. Cybersecurity is a serious industry concern. Companies must find a way to use this data without increasing risk to the business. Fortunately, there are tried and true methods to ensure strong security, including:

  • Implementing robust encryption to protect data in transit and at rest
  • Using intuitive but strict access controls so that only authorized customers and personnel can access sensitive data 
  • Informing customers on how you use and protect data and allowing them to manage preferences
  • Incorporating controls across channels and interfaces via multi-factor authentication, regular security updates, and secure connections 
  • Educating employees on data protection and confidentiality best practices
  • Continuously assessing and mitigating data handling and processing risks

5. Outdated Tech and Fragmented Data

Customer experience is a top priority, but your employees matter too. Their needs deserve your attention. Back-end technology and data availability are as essential as the front-end. Employees can’t deliver on the customer satisfaction gains promised by shiny new customer-facing products if your systems are confusing to use or data is locked away in silos.

When planning a digital transformation in your insurance company, consider both internal and external technology. Employee experience and satisfaction (or frustration) directly impact the customer experience. Enhancing and automating internal processes will, in turn, improve external experiences. These processes include underwriting, billing, and other operational activities. Increasing data sharing and speeding up low-value tasks can have big payoffs. System integration and data visibility are vital for making interactions between customers and employees go smoothly.

Let’s Talk Insurance and Digital Transformation!

Want to create more engaging and personalized customer experiences? Ready to grow employee satisfaction and productivity? We can help. Contact us at hello@robotsandpencils.com today.

Best Practices for Using AI in Your Business

3 Strategies for Businesses Interested in Using AI

One of the best ways to use AI in your business is to connect technology systems and streamline processes, helping users work better and faster. Take this example. A bank wants to deliver expert customer support across platforms. They introduce an intelligent Q&A system within Slack, MS Teams, and various web applications. The bank gives the system access to shared files, Google Docs, SharePoint, and third-party services. They also create new interfaces and workflows that incorporate this AI technology. Once the AI tool is connected across these platforms, employees or customers can ask questions in natural language. When they do, the tool searches all available sources to instantly provide accurate, helpful answers.

Of course, that example is one of many potential use cases. Overall, most business use cases for AI revolve around automation, analysis, and optimization. Beyond automating employee and customer support, predictive analytics for sales, supply optimization, and personalized marketing are just a few additional ways today’s organizations leverage AI.

When you think about how to apply AI in your organization, remember that AI should serve you—not the other way around. Below are some best practices for using AI to enhance your business processes and help your users.

1. Apply a Human-First Philosophy

To get more benefit from AI, pair it with human-centered thinking. Rather than fearing AI as a threat to jobs, integrate it into your organization based on how it can complement and assist your human team. The focus should be enhancing existing work and processes, like using chatbots to augment rather than replace your customer support team. 

This approach also helps with buy-in from decision-makers who hesitate to adopt AI, fearing what it could mean for workforce morale and company culture. You can mitigate many concerns around AI by emphasizing how it lifts workloads off burdened teams, not just speeds up business processes. When you automate repetitive, low-value tasks, staff have time for more rewarding and strategic activities. 

2. Cut Through the Hype with Expert Guidance

When implementing AI into your systems, the goal is to apply AI sustainably in a way that will add exponential value. With the speed at which AI is evolving, it’s often helpful to bring in advisors who have experience with AI and data science. These experts can help you align the technology with your organization’s needs and capabilities. 

Look for a partner who can provide data scientists, engineers, and experienced designers to help you. You want a team that balances big ideas with technology expertise and risk assessment. They should be up-to-date on AI trends and use proven, outcome-driven methods for ideation, product development, and industry-specific risk mitigation. 

3. Know the Business Risks of Using AI

While integrating AI into business brings numerous benefits, it also presents potential risks and downsides. For example, AI systems can inherit biases in the data used to train them, leading to biased decision-making. AI algorithms, especially in complex deep learning models, can be challenging to interpret, and a lack of transparency in decision-making processes may lead to difficulties in understanding how and why specific outcomes occur. 

As AI-based point solutions are built across industries, including those with complex requirements like healthcare, it will be important that these solutions maintain compliance. AI systems can also become targets for cyberattacks, where malicious actors manipulate input data to mislead the AI or try to steal your business and customer data. Such attacks can have critical legal and reputational consequences.

To protect your company, awareness and diligence are imperative. Always have intentional human oversight in developing, using, and managing AI-based tools. You can proactively address these risks by providing robust governance, ethical guidelines, and ongoing monitoring of AI systems to ensure responsible and secure use. If you use a partner to help you build your AI products, ensure they are experienced and knowledgeable of the risks, including how to mitigate them.  

Ready to talk about using AI in your business? 

Complete our contact form to start the conversation, or email us at hello@robotsandpencils.com!

How to Focus Your Digital Transformation Strategy on the Right Opportunity

Direct Your Tech Investment to What Matters Most

Modernizing your tech stack and digital experience can provide a huge boost in customer satisfaction and employee efficiency, but deciding exactly where to focus your digital transformation strategy is a complex undertaking. Before undergoing any tech modernization efforts, you need to determine your biggest opportunity for impact. But how? Understanding opportunity requires investigating the state of your organization, the market, and the needs and wants of the people who will be affected. 

3 Activities to Inform Your Digital Transformation Strategy

Deciding where your technology dollars go is not the time to rely on assumptions. To ensure impact, base decisions on data and research, and stay open to unexpected findings. By assessing your current state with the following activities, you can gain foundational information for determining a strategy and focus that guides your technology investments.

1. Needs Analysis

Aligning technology investments with stakeholder needs (internal teams, external partners, and clients, customers, or users) is essential. Two types of needs demand close attention:

  • Business needs: Stakeholder interviews can deepen your understanding and awareness of department and team objectives, internal observations, and
other opportunities to improve your organization.
  • Customer/user needs: Interviews along with quantitative and qualitative research can reveal unanticipated and unmet customer or user needs.

Once you understand the preferences, pain points, and behaviors of these groups, you can determine where their needs align best with your business goals and priorities. 

2. Technical & Data Audit

By assessing your existing technical and data assets, you can identify strengths, weaknesses, and areas for improvement. Likely, some systems or workflows are overly complex and could be simplified and improved. Other technology systems may be ready for sunsetting. 

As you complete your audit, closely examine the connections and flow of data between systems. Keep an eye out for new integrations that may be needed in a future state. Note contract renewal dates as well, as they will be important as you address timing. 

3. Market Evaluation

Study the market trends, emerging technologies, and competitive landscape for your business and industry. Through this market research, you can identify best practices and better understand your competition. Testing other organizations’ software and digital experiences can reveal valuable insights and opportunities for you to fill a market gap.

The Final Step: Deliver on Your Digital Strategy

The insights gained from this discovery and research will point to where new or updated technology could most impact your business. You’ll also have found potential risks–including existing system constraints, data complexities, and even resistance to change. (A Change Readiness Assessment is another tool we recommend for mitigating issues that could impact your digital transformation strategy.)

Once you’ve honed in on where your efforts will reap the highest reward, you can move forward to defining your portfolio vision and goals, detailing your future technology solutions and architecture, and conducting a gap analysis. Then, in your final planning stages, you’ll create a tactical delivery plan, including a business case, implementation roadmap, and measurement and learning framework. To learn more about completing these stages, download our white paper on Planning and Prioritizing Your Tech Investments today.

Refine Your Digital Transformation Strategy with Robots & Pencils

Robots & Pencils develops journey-focused digital products and experiences that deliver exponential impact for our clients. We design and build solutions that unlock data and insights, infuse intelligent automation, and accelerate organizational innovation. Fusing technology + creativity, we help brands transform their businesses, deliver delightful customer and employee experiences, and maintain a competitive edge amidst a constantly changing technology landscape.

To learn how we help you with everything from creating a clear vision for your digital ecosystem to planning and implementing new, integrated technology, contact us at hello@robotsandpencils.com or visit robotsandpencils.com.

Women in Tech Recommended Books, Podcasts, and More

At our most recent Women in Innovation event, our accomplished panelists shared the podcasts, books, newsletters, and other resources they recommend for women in the tech field. We’ve compiled their picks below along with a few bonus suggestions for must-read women in tech books from the talent at Robots & Pencils.

Recommendations from Asha Aravindakshan
Best-Selling Author and Tech Leader

Asha Aravindakshan

How Women Rise: Break the 12 Habits Holding You Back from Your Next Raise, Promotion, or Job | By Sally Huddleson and Marshall Goldsmith

How Women Rise offers a modern take on Marshall Goldsmith’s classic, What Got Here Won’t Get You There. This book explicitly acknowledges that women face different obstacles in their careers from men. The authors highlight the behaviors that help women start their careers but then keep them from rising to higher levels. Along with naming 12 of these behaviors, they provide clear examples of how each can hold you back and what to do instead to move forward.

Skills: The Common Denominator | By Asha Aravindakshan

Our career paths (and our lives) rarely follow a straight path. If you’re planning a career move, this book offers insights and guidance for everything form comparing industries, roles, and organizations to utilizing your professional and personal networks. Featuring 25 inspirational stories of career changes, Skills will help you assess, identify, and showcase your transferable skills. Ultimately, you’ll learn how to stand out among candidates while creating a career that brings you joy. 

Recommendations from Andrea Chin
Expert in Digital and Disruptive Technology

Andrea Chin

The Female Quotient 

The Female Quotient is an organization committed to raising the visibility of women and advancing equality. They host events, develop content, and provide advisory services to organizations. Andrea recommends signing up for their newsletter to stay up-to-date with the group’s work.

Fairy GodBoss 

Fairy Godboss is a community designed to help women find jobs, career advice, and support. Membership is free and includes access to job search features, company reviews, and events. Fairy GodBoss also has a daily newsletter that covers career trends, discussions, and new articles.

Athena Alliance  

Athena Alliance supports female leaders through educational content, coaching, courses, in-person meetups, networking, and community.

Recommendations from Natalie Farand
Client Experience & Digital Product Senior Leader

Natalie Farand

Women at Work

Hosted by Amy Bernstein and Amy Gallo, this podcast is affiliated with the Harvard Business Review. It explores all sorts of topics related to women at work from entrepreneurship to vulnerability to joining a board. Natalie says it’s one of her go-to podcasts she listens to while she gets ready every morning.

The New Rules of Business

This podcast by Chief is another of Natalie’s favorites. While Chief is primarily a private network for executive women, anyone can sign up for their newsletter and listen to their podcast, The New Rules of Business. On this podcast, Chief Co-Founders Carolyn Childers and Lindsay Kaplan dive into complex marketplace trends and challenge established ideas about leadership. 

Books for Women in Tech: R&P Team Recommendations

As part of our celebration of the history and future of women in tech, we asked our talent what books they recommend for other women in tech.

Burnout: The Secret to Unlocking the Stress Cycle | by Emily Nagoski PhD and Amelia Nagoski DMA

Suggested by Tahishia Simmons, R&P’s Director of Managed Services, this book examines how the world views women differently than men and the pressure they face as a result. The book offers women tools to manage and overcome the stressors that have left you exhausted.

Big Feelings: How to be Okay When Things are Not Okay | by Liz Fosslien and Mollie West Duffy 

Jen Suehr, our Product Ownership Associate Practice Lead, recommends this book if you’re looking for advice and strategies for managing tough feelings like envy, burnout, and anxiety.

Girl, Stop Apologizing | by Rachel Hollis

Recommended by R&P Account Manager Brittany Peterson, this book challenges women to replace old excuses with new behaviors, skills, and the confidence to grow and achieve their dreams.

Lean In: Women, Work, and the Will to Lead | by Sheryl Sandberg

Simranjeet Kaur, Senior QA Robot, chose this classic book as her recommendation for fellow women in tech. The book offers practical advice to help you build a fulfilling career, covering topics like mentorship, negotiation, and taking risks to achieve your goals.

Women in Tech: Shaping the Future

As Robots & Pencils celebrates 15 years in business this year – and Women’s History Month this March, we reflect on the journey that has brought us to where we are today and the many women of tech who have helped us get here. From the start, women have been vital to our growth and the development of innovative solutions for our clients. In fact, one of our two co-founders (and the original pencil!) was a female. Since then, many talented women have joined our ranks and made their marks in leadership and individual contributor roles.

However, the story of our tech company has not historically been the norm. While the history of women in technology is full of perseverance, innovation, and progress, many obstacles have hindered women’s full participation and recognition in the field. As we stand at the cusp of a new era, it’s crucial to acknowledge our past and understand our present. Only then can we envision a future where diversity is not just encouraged but celebrated as a cornerstone of innovation.

Reflecting on Our Roots

The history of women in technology is rich with figures who defied the norms of their times. These pioneers contributed foundational work in computing and engineering. From Ada Lovelace, the first computer programmer, to Grace Hopper, who developed the first user-friendly software programs in the 20th century, women have been instrumental in shaping the technology landscape. Despite their contributions, for too long, women’s roles were marginalized and their achievements overshadowed.

The late 20th and early 21st centuries marked a turning point, with more women entering STEM fields and making significant strides in tech. However, the journey has been far from smooth. Women have faced a myriad of challenges, from gender bias and a culture that can be unwelcoming to females to a lack of representation as women look up the leadership ladder.

The Present Landscape for Women in Tech

Today’s tech industry is more diverse than it was decades ago. Still, women only account for approximately one-third of the tech workforce. That number drops further in technical and leadership positions. The reasons are complex and multifaceted, from societal and cultural norms to policies and practices within the industry itself.

More than ever, there’s a growing movement to change the narrative. Initiatives to close the gender gap, such as STEM education programs for girls, mentorship programs, and women-led tech startups and VC funds, are gaining momentum. Organizations are increasingly recognizing the value of diversity, not just as a moral imperative but as a business one. Numerous studies have shown that diverse teams are more innovative and perform better financially. 

Envisioning a Better Future

Looking to the future, we are optimistic about the impact of women in tech. Technology is at the heart of societal transformation, and the need for diverse perspectives will be critical as society confronts global challenges. Here are some specific ways we see the future of women in tech evolving.

Increased Representation: STEM education efforts and increased adult learning options will translate to more women entering the tech workforce. We anticipate an increase in the number of women not just in entry-level positions, but in senior leadership roles and fields like AI, machine learning, and cybersecurity.

Policy and Practice Changes: Companies with inclusive policies and practices, including flexible working arrangements that support work-life balance, will attract more female candidates. Mentorship programs are also becoming more common, providing women with increased guidance and opportunities to advance their careers.

Women Leading Innovation: Women will not continue to not only participate in the tech industry but lead some of the most significant innovations. Female tech entrepreneurs will be at the forefront of developing groundbreaking technologies and solutions that create a better world.

Advice for Women in Tech

At our women in innovation events, our speakers often advise attendees to both seek and provide mentorship. The guidance and support of someone who has navigated the world you’re facing can be invaluable. Equally, by mentoring others, you help to build a more inclusive and supportive tech community.

Another refrain is to stay curious. The tech field is constantly evolving. Continuous learning is key to staying ahead. Embrace challenges as opportunities to grow, and never underestimate the value of your unique perspective. 

Finally, advocate for yourself and others. Be vocal about your achievements and the contributions of other women in tech. Change happens when people collectively raise their voices to highlight injustices and push for progress.

The future of women in tech is bright, but realizing it requires a concerted effort from individuals, organizations, and society. Together, let’s commit to breaking down those barriers that remain and building a tech industry that is truly inclusive, equitable, and representative of the world it serves. 

The Best Leadership Books I Read Last Year

6 Recent Reads That Have Impacted My Approach and Thinking as a CEO 

I’ve been a reader my whole life. I practically read a book a day when I was a kid (all fiction, of course!). As I got older, life got busy, and I had less time for fiction. I was starting a career in software development and learning as I went. After a few years in the field, I decided to focus less on reading tech-focused books, which I was fortunate that my job gave me the time and opportunity to do, and start reading business books. Before long, I formed a habit. I was always looking for the best business and leadership books that would help me, and later my teams and my company, grow. 

Today, the books I consume continue to shape how I approach solving problems, making decisions, and building relationships. However, I realized last year that I now read almost entirely leadership and business advice (see my 2022 reading list, for example). As a result, I vowed to expand into more genres. While I still haven’t spent much time back in the world of fiction (though over the holidays I started reading Andy Weir’s Project Hail Mary at my teammate’s recommendation!), I did add biographies into the rotation. At least I’m getting more of a story! 

The 6 Best Leadership Books I Read in 2023

If you’re looking for your next read or a gift for a business leader in your life, here are a few of my recent favorites.

Four Seasons: The Story of a Business Philosophy

By Isadore Sharp

This is an inspiring story of a seemingly ordinary person–a child of immigrants and a son of a builder–doing extraordinary things. Isadore Sharp, the founder and chairman of Four Seasons, shares how he developed a brand now known worldwide by following his gut, taking big risks, persevering, and committing to his vision. You’ll learn where he drew inspiration and ideas from and see the power of asking for what you want. Sharp’s memoir also reinforces the importance of building relationships, earning trust, and being true to your word.

Building a Second Brain: A Proven Method to Organize Your Digital Life and Unlock Your Creative Potential

By Tiago Forte

This book isn’t just one of the best leadership books I read this year–it’s one of the best all-around books on this list. Everyone can benefit from this, and I certainly took a ton of notes! Building a Second Brain is full of practical tips for those of us juggling to-dos and information for our teammates, clients, loved ones, and more. The techniques will help you remember, capture, organize, distill, and express your ideas, notes, and work to maximize the value and impact on your life. The book can also guide you in deciding what information to keep and what to let go of. Reading this has helped me be more systematic and strategic in both my personal and professional life. Shout out to my friend and fellow CEO, Patrick Patterson, for this sanity-saving recommendation.

The Power of One More: The Ultimate Guide to Happiness and Success

By Ed Mylett

In this motivational book, Ed Mylett urges us to keep pushing when we would otherwise stop. He emphasizes how much we stand out and achieve when we are willing to go above and beyond expectations. Take the additional meeting. Do one more round of practice. Over time, this philosophy will pay off in surprising ways! (Haven’t heard about Ed Mylett? Look up some of his talks on YouTube for a preview of what to expect with this book!) 

Boundless: A New Mindset for Unlimited Business Success

by Henry King and Vala Afshar 

King and Asfhar draw on years of experience leading digital teams and transformation initiatives to outline a path to business success. The pair focus on how to overcome silos inside your organization to enable the free flow of information and resources. The book focuses on seven areas: connection, integration, decentralization, mobility, continuity, autonomy, and shared success. I’m fortunate to know the co-authors in real life and know that they also practice what they preach!

Soundtracks: The Surprising Solution to Overthinking

By Jon Acuff

Are you an overthinker? Don’t worry – you’re in good company! We’ve all occasionally fallen into the pattern of overthinking. This book is an easy read that prompts you to examine the soundtracks (the thoughts) that repeat in your head. It then provides a guide to help you change what your brain tells you. Once you take control, you get back time to accomplish what you want while also unlocking your creativity in productive ways.

Titan: The Life of John D. Rockefeller

By Ron Chernow

Titan is a fascinating look at a person with an incredible impact on industry in the United States. It’s a very long read (or listen, in my case), but I kept coming back to it throughout the fall and winter. This biography examines the rise of an ordinary man to immense power and, along the way, reveals how so many things we take for granted first came to be. If you’re interested in American history and business (and it all really wasn’t that long ago!), I’m certain you’ll enjoy this book.

Want to share the best leadership books you’ve read?

Send me a note on LinkedIn – I’m always open to recommendations, and your book might just make my next list. Happy reading!

2024 Kickstart: Our Top Resources for Business Impact

Revisiting our Most Valuable Tech Advice and Insights from 2023

AI has been a major focus over the last year, and more is still to come!

Bringing Intentionality to AI: Why today’s design methods fall shorts for LLMs and what to do instead
In this on-demand webinar, Executive Experience Director Tyler Klein challenges conventional approaches to user-centered design and explains why they fall short in Generative AI experiences. He instead proposes a new model for the design of emergent experiences.

Training Artificial Intelligence with Real Heart: Legitimize, Confirm, Reinforce
In this blog post, Client Strategy Analyst DJ Moody explores the challenges of designing AI chatbots. Drawing on lessons from the intersection of the sciences and the humanities, DJ shares three principles for training artificial intelligence to deliver personalized customer experiences.

Summoning the Ghost in the Machine: Intro to Prompt Engineering and Design
Watch this presentation to learn about prompt engineering, where creativity and ingenuity converge with cutting-edge AI technology to produce mind-blowing outcomes. Prompt engineering is a dynamic and rapidly growing product role that’s accessible to everyone, regardless of your technical background.

Unlocking AI’s Human Potential: Human First, Tech Second
This virtual summit on unlocking AI’s human potential featured our CEO Tracey Zimmerman and Executive Experience Director Tyler Klein together with guest speakers from Ingram Micro, Arizona State University, and Slack.

Our CEO shared her thoughts on the technology and business landscape.

CEO Report: Maximizing Impact and Future-Proofing Your Business in an Ever-Changing World
In the first of her blog post series, Tracey Zimmerman shares what she’s hearing and seeing in the marketplace, including the top factors influencing decisions and areas with the biggest opportunity for organizational impact.

From Chaos to Clarity: The Journey to Modernization
Join Tracey for a dive into digital modernization. Get tips on how to unify fragmented data and unlock hidden insights, to increase flexibility by addressing aging infrastructure, and prepare for the future by expanding interconnectivity in your systems.

Employee Efficiency Accelerators: The Power of Empathy, Automation, and AI
Where should you focus your efforts to boost efficiency? Tracey suggests looking to employee experience design, self-service tools, automation, and AI-human partnership. Most of all, approach every initiative with empathy and consideration for your team members. 

How to Win Big with Your Customer Experience
Explore how to create holistic, personalized experiences built around your customer journeys and preferences. Here, you’ll learn lessons on building brand loyalty, engagement, and community.

As you keep working to create forward-looking, innovative technologies and organizations, these insights can help.

A Mobile Prediction Guide for 2024
This blog post from our Mobile Practice Lead Quinn Thomson examines the current stage and future evolution of the three most common uses of mobile apps.

5-Step Guide to De-Risking Innovation for Maximum ROI and Impact
Do your new ideas stall out because of organizational risk aversion? This ebook can help you go from idea to impact faster than ever before.

The Art of the Possible with Brad Fagan
During this podcast episode, Executive Creative Director Brad Fagan shares strategies and techniques for uncovering new ideas and defining your strategic and product vision.

A Practical Guide to Planning and Prioritizing Your Tech Investments
Are you torn between warring priorities and stakeholders with differing opinions? If so then this step-by-step guide to planning and prioritizing tech investments will get you refocused on your strategic objectives.

Change Management – Creating A Culture of Innovation
In this webinar, two Client Strategy Analysts discuss how to apply change management to support individual innovations and ultimately create a culture where innovation and change are the norm.

Reimagining Your Customer and User Journeys: 10 Essential Tools
If you know your customer journey is lacking but you’re not sure where to start, how to achieve your goals, or test your theories, this ebook reviews which tools can address your needs.

Want our thoughts on another technology or design topic? Get in touch – we’d love to chat!

How a Slack App MVP is Informing Product Roadmap Decisions

Helping a Top 4 Professional Services Firm with MVP Slack App Design and Development

Have an idea for a new or improved offering? That’s a great place to be! But whether you want to build a new app, an AI-powered chatbot, or reimagined digital experience, there’s still a long road ahead and a lot of questions to ask. How do you know if that idea will work? How will you test it? When will you seek feedback? And how will you bring everyone else on board? Robots & Pencils supports clients at every stage of product design and development, including advising you on what ideas to test and how. Then, we help you get those ideas out into the world as minimum viable products (MVPs). By doing so, you can gather early feedback that will guide your future direction. Below, we share how we helped a major professional services firm test their idea with a Slack app MVP.

Recognizing the Power of Slack

One of the best things about Slack is its ability to bring together people, systems, and processes all in one place. If your organization uses Slack but doesn’t integrate other technology and workflows into the platform, you’re missing out on opportunities. Being able to interact with your systems right from Slack to get the information you need is a huge win. It benefits the employee experience and the entire organization by making work faster and more efficient.

Knowing the potential and promise of Slack, a top 4 professional services firm approached us with an idea. They wanted to give users of their Salesforce-based supplier lifecycle management solution access to the tool’s features inside Slack. This access, they hypothesized, would allow users to work more efficiently and effectively. Now, they wanted to build a Slack app MVP so that they could test the theory and demonstrate the benefits of integrating the two systems.

Creating a MVP Slack App to Test with Potential Customers

An experienced Slack services provider and longtime Slack partner, Robots & Pencils was well equipped to help our client. We provided expertise for the product strategy, UX/UI design, documentation, and development for the proof of concept Slack app. For this app, the team honed in on two important employee use cases: onboarding suppliers and collaborating on tracking issues.

In the resulting Slack MVP app, users can easily access and share new supplier details and onboarding statuses from Salesforce in Slack. Depending on their needs, users can share supplier info in channels or conversations. For issue tracking, our developers set up the integration so that new incidents added in Salesforce automatically post in Slack. As issues arise, users can discuss and collaborate on problems in real time. After an issue posts in the incident channel, users can also share it to other channels and conversations. Additionally, the Slack posts contain links that users can click on to see more details about the supplier or incident in Salesforce.

Robots & Pencils also assisted in configuring Slack and Salesforce to automate the app deployment process to the client’s internal AWS environment. Now, the client is demoing the MVP to customers and potential stakeholders to gauge interest in the app and its features. Already, the process has provided valuable insights for improving their product and refining their roadmap.

How to Get Started on Your Product Idea

If you’re ready to take the next steps on your product idea, Robots & Pencils is here to help. Early on, we’ll leverage stakeholder and user interviews combined with quantitative studies to uncover unmet needs and opportunities to innovate. In design and product vision workshops, we’ll align your team on goals, plans, and priorities. When you’re ready, we’ll partner with you to conduct technology and creative experiments to test the feasibility of your ideas and how they resonate with users. Of course, we also assist with agile product development, from designing and building products to measuring performance and learning in ways that power continual improvement and growth. Rounding it out, we deliver change management strategies and services that maximize business impact.

Want more information? Contact hello@robotsandpencils.com today!

Training Artificial Intelligence with Real Heart: Legitimize, Confirm, Reinforce

Insights for training AI chatbots

This post is written by DJ Moody, Client Strategy Analyst at Robots & Pencils, and inspired by a recent experience helping one of our clients with creating and training an AI chatbot.

“Alright listen, Sparky…”

My father tends to be laid-back. However, there are clear indicators when he’s getting frustrated. These are so predictable that the whole family knows when a customer experience goes awry. First, he refers to the person as “Buddy”. If the situation doesn’t improve, they soon become “Sport”. With each step down this path of names, the chances the agent will keep the business drop precipitously. The final moniker is “Sparky”. No one comes back from Sparky.

It’s a familiar experience. A customer service discussion goes poorly. We become frustrated. Eventually, if it’s bad enough, we decide to spend our money elsewhere. After those conversations, our opinion of the company changes. We blame the business.

In comparison, the same isn’t true with static content. If we can’t find an answer in an instruction manual, we get a little annoyed, but our view of the company rarely shifts. Yet when we talk with a person who doesn’t have the answer, frustration bleeds over into our impression of the company in a much different way. A human failing tells us the company failed. The company doesn’t care. Basically, the company is bad.

More rare, but more powerful, is the successful customer service conversation. The one where you feel heard afterward, where the other person takes time to understand your need and works to get it addressed. Even if you don’t get the answer you want, you gain a positive perspective on the company. The experience tells us the company is good; they put resources into their customers. They care about us. Reading helpful documentation doesn’t offer that same gut-level reaction.

It takes a person for something to feel personal. 

Chat-based AI attempts to mimic a conversation with a person. This brings with it many of the benefits of having a human involved. Markedly, it is an opportunity to show the customer you care and to develop a personal connection. This also opens up a lot of the dangers. It takes a person for something to feel personal, and we are creating a digital facsimile of a person. So the question becomes, how do we make our fake person seem genuinely caring?

Artificial intelligence, real heart

Experiences can be designed, whether on a website, in an app, or with a healthcare provider, sales professional, or customer service agent. The major difference between a digital product experience and a human experience is flexibility. The former we expect to be relatively static. It’s primarily up to us to find the right page or tool. The latter we expect to change based on our actions. If we’re angry we expect a person to show empathy and change their approach. We don’t expect an app to understand us; we do expect that of a person.

As with all programming, what you get from a chat experience depends on what you put into it. We tend to focus on training AI chatbots with the right data. Undoubtedly, we want them to have the correct answer to any question they might be asked. That might be enough if users interacted with them as they do a static resource. However, we want the benefits of AI accuracy and efficiency with the personal connection of human interaction. Just as the best human communicators have training in both information and interpersonal skills, we need to include the same when training AI.

3 takeaways for training AI chatbots from the intersection of science and the humanities

1. Legitimize the need.

Above all, we want customers to know we care. Like compassionate humans, our chatbots can show this care by simply acknowledging there is a need and a desire to help. We don’t have to promise we can solve the problem. At this point, we just need to make it clear we know there is one. If sentiment analysis is available, adding that detail is even better.

Standard – All businessBetter – legitimize the needBest – legitimize with sentiment analysis
What solution do you want?I understand that this is a problem for you and would like to help.I can see that you are frustrated and would like to help.

2. Confirm and clarify.

Great human communicators reflect back to the customer what they understand about a request and ask questions to clarify. Communication is messy and questions clean it up. Our bots need to do the same.

Standard – problem statementBetter – clarifying questionBest – confirm and clarify
I don’t understand.Can you clarify your question for me?I understand you want information about your widget. Can you tell me more about what you are trying to do?

3. Set and reinforce next steps.

One of the more frustrating parts of customer service, for both the consumer and agent, is when a solution is offered but missed steps cause it to fail. We can reduce this likelihood by summarizing the discussion, including all steps, before signing off.

Standard – problem statementBetter – restate the solutionBest – reinforce and confirm understanding
Thank you for your question.Thank you for your question. Remember, your next steps are to turn off the router, wait at least 10 seconds, and turn it back on again.I appreciate your inquiry. To recap, your next steps are to turn off the router, wait at least 10 seconds, and turn it back on again. This will reset the system and help you get back online.
Do you have any questions about those steps, or is there anything else I can help you with today?

Developing and training AI solutions for your customers

These are just a few of the many ways your AI solutions can reflect the care and compassion you have for your customers. In order to fully accomplish our goal of more human interactions between AI and customers, we must carefully consider each solution from all sides. Poor communication can make even the most well-informed agent–human or bot–seem cold and uncaring. Conversely, bad data means even the best-behaved agents will be useless. For truly effective agents, those who can increase both customer knowledge and sentiment, we need to live at the intersection of science and humanity. 

Every team developing a chatbot should include specialists in data science and AI as well as experts in communication, user experience, and customer care. In the case of Robots & Pencils, our Robots handle the code, our Pencils ensure an excellent experience, and our Ampersands bring it all together. To learn more about how Robots & Pencils helps organizations approach AI technology with a human-first approach, visit our AI & data science page or drop us a line at hello@robotsandpencils.com