A conversation with Christina Morello, VP of Marketing
Interviewed by Adrian Bird, VP of AWS Partnership
The Setup: Rebuilding Marketing on Amazon Quick
Q: You run marketing for Robots & Pencils, and, as you know, we are all in on AWS and Generative AI. How has the company influenced the way you have built out the marketing team ?
Marketing for an applied AI engineering partner comes with a built-in hypocrisy risk. If we are out telling enterprise clients to put generative and agentic AI into production, my marketing function cannot be running on willpower and a content calendar in Google Sheets. I would be like a swimming instructor who refuses to get in the pool.
When I joined the team, the first question I asked was how we can design marketing operations the same way we architect solutions for enterprise clients: AI-first, designed around outcomes, scalable without a hiring spree. I also needed a system that could accommodate personal constraints, I have Multiple Sclerosis, and I needed something that would hold up across good days and harder ones.
Amazon Quick turned out to be the answer, and my whole marketing operation lives on the platform now. Custom Agents are my specialist teammates, Spaces hold the knowledge architecture, Quick Research runs the competitive and industry intel, and Flows automate the editorial calendar. I run all of it on my own, and the work still goes out the door before the coffee gets cold.
Q: Can you say more about what you mean by “agents being your teammates”?
Most marketing leaders I talk to right now are doing the work of three people while learning a brand-new tool stack on their lunch break. AI only sharpened that pressure, because now we are also supposed to be experts in a discipline that barely existed a year ago.
My first instinct was the same as everyone else’s: start hiring. And that is more or less what I did by building and executing a hiring plan, just not the kind with headcount attached.
I now have a team that runs 24×7 and never burns out. My AI marketing agents on Quick each fill a specific role: brand strategist, competitive analyst, content specialist, operations manager, industry research analyst, and so on. Each one built for a specific function, fed a curated diet of source material, and held to a tight set of rules, the same as any new hire I would bring onto a real team.
The Architecture: Amazon Quick for Marketing, Layer by Layer
Q: Walk me through how this is structured on Quick.
Custom Agents act as named teammates for specific functions, Spaces hold the curated source material each agent is bound to, Quick Research runs the competitive and industry scans, Flows automate the editorial calendar so the system is driving the cadence, and Chat handles real-time iteration when something has to go live fast.
For example, most marketers will recognize the time sink of brand policing. I ensure every piece of content created clears a four-filter test. The filters themselves are my secret, but I can tell you that before Quick, those filters were a bottleneck. Running them by hand slowed me down and skipping them produced off-brand content. Chasing every off-brand sentence, missed citation, and freelance claim before it lands in front of the world. The most useful thing Quick does is take that off my plate by building it in. My agents only pull from sources I designate, cite only from real documents, and their constrained knowledge prevents fabrication and hallucinations. Which means we publish better, highly relevant content at the speed this industry actually moves, and the brand-policing hours I used to spend on review cycles now go into strategy.
Staying Current
Q: Robots & Pencils operates in a category where the technology itself is changing the story. How do you manage messaging consistency inside that?
Every marketing leader I know is trying to stay on the AI messaging mechanical bull. Capabilities expand, market framing shifts, and messaging changes quarter to quarter, which hits everything we produce: the website, the decks, the sell sheets, the videos, the articles. Minor adjustments are constant just to stay current, and the only thing worse than making them is not making them.
With Quick, my source of truth lives in a Space. When positioning shifts, I update the source, everything downstream reflects it, and a change that used to take weeks across a team turns around much quicker.
The cognitive load of tracking changes across a team disappears too, which matters more than most marketing leaders admit, and matters even more for the ones whose capacity moves around.
The Outcomes
Q: What does this produce in measurable business outcomes?
The numbers for 2026 alone are specific. Our website is running nearly 1.5x above the industry’s top-performing quartile. In the first half of 2026, robotsandpencils.com grew traffic 40% while pulling in a 99% new user rate, meaning the brand is consistently reaching untapped audiences. Organic search hit a 59% engagement rate, which tells you the content is attracting people who are actively looking for enterprise AI solutions. High-value pages are holding 76–79% engagement rates. Most importantly, monthly traffic volume has grown consistently every month, which is evidence of compounding growth, not a one-time spike. And the leads? We have a more than steady stream pouring in.
Robots & Pencils’ LinkedIn page organic follower growth accelerated 1,417%, and monthly impressions saw a 437% jump in just five months. On active posting days, our engagement rate runs more than 4x the industry average and well above the platform-wide median of 5.2%.
The numbers say what they say: this strategy is punching well above its weight.
The Philosophy
Q: What would you tell other functional leaders considering this approach?
When leaders ask me about agentic AI for marketing, I tell them not to start with the tool. Figure out what you want the work to produce and the rules that keep it on track first, if you can do that, picking the tool is the easy part.
My time in education marketing taught me something simple: quality output follows a quality system. The great teachers I have known build the structure, assessment frameworks, feedback loops, and scaling mechanisms. Then they teach inside that structure at a level they could not sustain otherwise.
I think this works for any function, build the environment, and produce inside it. The expertise stays yours, and the AI gives it scale.
Q: You have been candid about this system filling operational gaps. Is any of that personal for you?
I cover upwards of seven industry verticals, a full editorial calendar, enterprise-grade thought leadership, advertising, and AWS-compliant positioning across every touchpoint. It’s a lot, and I have Multiple Sclerosis which is known for cognitive issues, slower processing, and difficulty with multitasking. This system handles the parallel execution. I bring the framework for what needs to get done and 25 years of expertise to govern how it gets done.
For anyone working with a disability, this is the kind of system that lets you keep showing up at full strength when your body has other plans.
Q: Last question. What’s next?
What’s next for me is the work I came into marketing for. Amazon Quick has taken the review cycles, the brand-policing hours, and the parallel execution off my plate. The strategy, the storytelling, and the conversations are where I want to spend my time now.
A new vertical means a new Space and a new specialist teammate, a new workflow gets a Flow or Automation, and when it comes to adding headcount, I have clearer definition of the skills needed, and they are those that only a human can perform.
Marketing is one function, and every team across Robots & Pencils works this way. Engineers and delivery leads operate with their own agentic teammates grounded in their own curated systems of record. Our client-facing teams do the same. We do not recommend this approach to enterprise clients and then sneak back to the old way once everyone has left the room. This is how Robots & Pencils actually works.
One more thing. Marketing leaders working with a disability, chronic illness, neurodivergence, or caregiving responsibilities will recognize the benefit Quick offers here. Anyone running a marketing function gains from it, and some of us notice it sooner. That is the part of agentic AI I am most invested in talking about.
Want to see how Amazon Quick can transform your enterprise workflows? Request an AI Briefing today.
FAQs
Source: Amazon Quick User Guide
What is Amazon Quick?
Amazon Quick is a comprehensive, generative AI-powered business intelligence platform that makes it easy to analyze data, create visualizations, automate workflows, and collaborate across your organization. The service combines traditional business intelligence capabilities with modern AI assistance, requiring no machine learning expertise to use. You can connect to diverse data sources, create interactive dashboards, build intelligent automations, and get immediate insights through natural language conversations with AI agents.
Quick includes five integrated capabilities that work together: Amazon Quick Sight for data visualization, Amazon Quick Flows for workflow automation, Amazon Quick Automate for process optimization, Amazon Quick Index for data discovery, and Amazon Quick Research for comprehensive analysis. The platform extends beyond traditional BI by bringing AI assistance directly into your existing tools through extensions for browsers, Slack, and Microsoft Office applications. You can also build and publish interactive web applications using apps in Amazon Quick.
What is a Space in Amazon Quick?
A space in Amazon Quick is a collection of data and Quick resources scoped for a particular team or domain. You can use spaces to aggregate and organize files, dashboards, topics, knowledge bases, and application actions into a unified and customizable knowledge center for your team. Spaces integrate seamlessly with Quick agents for contextual conversations and are designed to scale across personal, team, and cross-team use cases.
Spaces allow your team to get the most relevant results from conversational agents and other AI tools inside Quick by grounding the results with only data relevant for your task or domain. Multiple people on the team can contribute to the knowledge inside a space; this reduces data silos and streamlines information discovery. Spaces also serve as a data layer for apps in Amazon Quick applications.
What is Amazon Quick Sight?
Amazon Quick Sight is a comprehensive business intelligence service that enables you to transform raw data into meaningful insights through interactive visualizations, dashboards, and reports. Whether you’re connecting to databases, preparing datasets, creating analyses, or sharing dashboards with stakeholders, Amazon Quick Sight provides the tools you need to make data-driven decisions.
What is Amazon Quick Research?
Amazon Quick Research is a feature of Amazon Quick that enables you to conduct comprehensive research by analyzing multiple data sources and generating detailed reports. Quick Research uses artificial intelligence to help you gather, analyze, and synthesize information from various sources including web search, uploaded files, connected data spaces, knowledge bases, actions, and third-party data providers.
With Quick Research, you can define research objectives, select relevant data sources, and receive AI-generated research reports with proper citations and source tracing. This helps you make informed decisions based on comprehensive analysis of available information.
What is Amazon Quick Flows?
Amazon Quick Flows is a capability within Amazon Quick that lets any user create, customize, and share workflows that automate routine tasks. You can generate flows from conversations with chat agents, describe what you need in natural language, or build them manually using the visual editor — no technical skills required. Flows can also be published to an admin-managed library and shared with other Amazon Quick users in your organization.
Each flow is a sequence of steps that can gather user input, generate AI responses from your data or the web, take actions in connected applications, and apply logic to control how steps run.
What is Amazon Quick Automate?
Amazon Quick Automate is an AI-powered application that creates sophisticated automations using natural language or documentation. Amazon Quick Automate revolutionizes enterprise workflow by transforming complex processes into intelligent, adaptive automations.
