At BlueConic, AI holds a dual purpose, supporting those who build the company’s technology while also empowering the customers they serve.
AI plays a key role in how the company’s technologists accomplish their work. It streamlines the development process and automates documentation and powers the company’s platform, which enables marketers to increase brand awareness, create engagement and more.
For Director of AI Integration Katie Czyz, offering customers AI-driven capabilities isn’t just helpful from a user perspective — it’s critical to the company’s long-term success.
“As AI continues to evolve rapidly, we’ve found that releasing features more frequently — while still being intentional and measured — is necessary to keep up with customer needs and expectations,” she said.
When it comes to making AI-based decisions, the company focuses heavily on privacy and what she calls “purposeful experimentation,” ensuring that every new feature is equally responsible and impactful to the business. And according to Czyz, the company has already seen some of its new features become a game-changer for customers.
“There’s no learning curve, no disconnected tool set — just faster, smarter execution from teams already using BlueConic,” she shared.
From engineering to customer success, every department at the company reaps the benefits of AI and gets to see its impact in action. Read on to see what else Czyz had to say about how the company has embraced AI and how this innovation plays out in compelling new features.
About BlueConic
BlueConic’s platform is designed to enable marketers to “move beyond managing data to actually driving growth with it.” The platform can be used to collect, qualify and activate leads, guide consumers through the product discovery journey, mitigate cart abandonment, and more.
Explain how AI is used at BlueConic. How is it connected to both the product development process and the product itself?
AI plays a dual role — enhancing our platform’s capabilities and accelerating how we work internally. On the product side, Amazon Bedrock–powered generative AI sits at the heart of the platform; a prompt can now launch an onsite personalization, build an audience or generate a predictive model in seconds, allowing marketers to activate first-party data without writing code. Behind the scenes, teams across the organization use AI to streamline development, automate documentation, test ideas and collaborate more effectively. For example, we began using a ChatGPT-based assistant to generate tailored implementation plans based on a customer’s data profile and business goals. What used to take hours of manual drafting and back-and-forth now happens in minutes, giving the team more time to focus on strategic consultation. As AI continues to evolve rapidly, we’ve found that releasing features more frequently — while still being intentional and measured — is necessary to keep up with customer needs and expectations.
“As AI continues to evolve rapidly, we’ve found that releasing features more frequently — while still being intentional and measured — is necessary to keep up with customer needs and expectations.”
How does your team approach the use of AI, and what impact has this approach had so far?
Privacy is the starting point for every AI decision we make. All GenAI services run in the same secure, region-bound cloud environments where customers already store their first-party data, so nothing ever leaves the BlueConic boundary or is exposed to public large language models. On top of that privacy-by-design foundation, we embrace purposeful experimentation; we build only what measurably improves business outcomes. A lightweight but rigorous validation framework vets every internal GPT or AI assistant for data-handling compliance, model accuracy and user value before it ships.
We’re also proud of how AI is showing up in tools that make a meaningful difference across the customer lifecycle. For instance, our data readiness GPT helps teams quickly evaluate whether data is usable for activation, while the onboarding assistant GPT supports smoother, faster customer implementations. These are more than just time-savers — they represent a shift toward smarter, more scalable work that directly accelerates how customers realize value.
Describe any recent projects involving the use of AI and the impact these solutions have had on customers.
A recent milestone was the launch of two GenAI capabilities within our customer data platform: a Dialogue assistant that enables marketers to create and update personalized website Dialogues using natural language, and a new GenAI companion within AI Workbench that empowers data teams to build and refine predictive models more efficiently. The Dialogue assistant dramatically reduces the time and skill required to launch customized, on-brand web experiences; what once took coordination with design and development teams can now be done in minutes, directly by marketers. Meanwhile, the AI Workbench enhancements bring real-time code completion, customer data platform-specific model suggestions and new APIs that help technical teams move from exploration to deployment without getting bogged down in complexity.
What sets these features apart is how seamlessly they’re integrated into existing workflows. There’s no learning curve, no disconnected tool set — just faster, smarter execution from teams already using BlueConic. Our approach embeds intelligence where users are already working, giving them immediate outputs that drive revenue and efficiency.
“Our approach embeds intelligence where users are already working, giving them immediate outputs that drive revenue and efficiency.”
What do team members working with AI at your company get to do that they might not be able to elsewhere?
AI exploration isn’t limited to a specific team or title. Everyone — from marketing to engineering to customer success — is encouraged to test ideas, experiment with tools and apply AI in ways that enhance their work. That culture of inclusion and learning is supported by initiatives like our internal “Shark Tank,” where employees pitch AI ideas and prototypes for feedback and potential investment. It’s a great way to turn curiosity into innovation and build real momentum around experimentation. For anyone interested in AI, it’s a chance to get hands on, make an impact and grow alongside a fast-moving product and team.
What technical aspects of your work are you most proud of? Is there an analogy that you would use to explain the role this advancement serves in your product architecture?
One area of pride is how AI has been embedded into everyday decision-making across teams, not just as a technology layer, but as a practical tool. For example, we’ve developed GenAI-powered assistants that surface contextual recommendations within core product workflows — helping users define segments, build models or launch campaigns without needing to leave the platform.
These tools act almost like copilots; always available, highly knowledgeable about the customer data environment and ready to assist without slowing teams down. It’s this seamless integration of intelligence that makes our platform not only more powerful but also more approachable for users across skill levels. That balance of sophistication and usability is something we’re genuinely proud of.
