Celebrating the Humans Behind NLX

Every great conversational AI experience depends on two things most people never see: the people inside an organization who actually understand what they're building, and the partners outside it who know how to put it to work. Get either one wrong and the technology stalls before it ever reaches a customer.

At NLX, Cecilia Bolich and Mike Butler are the people making sure that doesn't happen.

Most people assume conversational AI is a prompt problem. Write a clever enough instruction set, and the system becomes intelligent. Cecilia Bolich, NLX's Director of Education, spends her time correcting that assumption.

"Conversational AI is much more architectural," she says. It goes well beyond chatbots, voice interfaces, and LLMs. Success depends on thoughtful UX across channels, deep system integrations, and a blend of deterministic logic and generative reasoning — none of which shows up in a single well-worded prompt.

What Cecilia teaches, first and foremost, is how to design for the human on the other end. Not the ideal user following the intended path, but the real one — distracted, impatient, mid-thought, changing their mind. She doesn’t just build and demo. She stress-tests. Is the experience helpful over voice as well as chat? What happens when a user asks a question in the middle of a different process? What if they take the conversation somewhere it wasn't designed to go?

The goal isn't to replicate what she's shown them. It's to develop the judgment to keep building well after the training ends.

That's also why Cecilia anchors her programs to principles rather than products — and why she built NLX's Learning Hub, an on-demand learning platform that gives users the foundation to keep building well after formal training ends. Model versions, tools, and even best practices are guaranteed to look different in a matter of months. 

"Any learning program is going to be unsuccessful if it anchors instruction to the latest features of a product," she says. "What's stable is teaching learners how to evaluate whether AI is helpful to a human." 

If they leave knowing what good looks like — across interfaces, across edge cases, even as the tools evolve — they can keep pace with AI rather than feel like they're always chasing it.

If Cecilia builds the foundation from the inside, Mike Butler extends it outward. As NLX's Director of Partnerships, Mike's job is finding the partners who can take what NLX has built and actually deliver it to the enterprises that need it most.

He's not looking for names on a slide. He's looking for consulting and implementation partners already doing real AI work — in contact centers especially — with a strong CX practice alongside it. 

"The best partners are those looking to deliver meaningful business outcomes quickly," he says. “The ones that work are truly aligned with the enterprises they serve — proposing solutions that deflect calls, offload repetitive tasks from agents, and deliver engaging, intuitive multimodal experiences that let customers self-serve and actually enjoy doing it.”

And he's clear about what separates a partnership that looks good on a press release from one that actually moves the needle: Commitment. Certification. A go-to-market that drives real sales motion. A flywheel of engagement across engineering and product teams. "The more invested the partner is, the more appealing and performant their solutions to their customers become," he emphasizes.

Mike has watched enough hype cycles in this industry to know the difference between a headline and a shift. His read on conversational AI is direct: purely LLM-driven solutions don't account for enterprise complexity or cost — something the market is starting to figure out. What conversational AI actually provides is an operating platform sophisticated enough to orchestrate real self-service solutions while working with the systems and workflows enterprises already have. It lets companies realize business outcomes today, without making massive bets at a moment when the landscape is still evolving.

That stability, he argues, is exactly what enterprise customers need right now.

Follow Cecilia here.
Follow Mike here.