The pressure is real.
Your CEO wants to know what you're doing with AI. Your board is asking about competitive advantage. Your teams are drowning in tools that promise transformation but deliver complexity. Meanwhile, you're caught between the urgent need to "do something with AI" and the very real risk of investing in solutions that don’t actually solve your problems.
Here’s the hard truth: AI agents are already changing how work gets done—and most organizations are getting it wrong.
They rush to adopt technology without clarity on where it creates value. They experiment with pilots that never scale. And they miss the bigger opportunity: not just using AI to augment products, but to transform the systems behind them.
This is the real shift. Change is starting from the inside out. The companies that win won’t just bolt AI onto existing offerings—they’ll rethink how work happens, and build the internal systems that make AI a strategic advantage.
Everyone has access to the tech. What’s missing is a strategic, human-centered plan for where AI agents can actually move the needle—and how to get there without wasting time, money, and organizational energy.
This is what McKinsey calls the “gen AI paradox”: widespread deployment, minimal results. The gap isn’t technical—it’s strategic.
But today’s most transformative opportunities aren't just in the products companies ship—they're in the systems, tools, and workflows that enable teams to build, support, and deliver those products.
We’re witnessing a generational shift in how work gets done, driven by AI agents that can:
This is about designing the tools that design the work.
It’s about reimagining how product teams collaborate, how support operations scale, how finance closes the books, and how IT maintains increasingly complex systems.
Visiontypes, as Marty Cagan describes them, are prototypes of the future. They help teams imagine what’s possible and align around a compelling vision without getting lost in comprehensive design details.
Applied to AI agents, this becomes AI Agent Visiontype—a way to explore and define where internal AI transformation creates the most value before committing to build anything.
We help organizations move from: “We should do something with AI” to “Here’s exactly where AI agents will transform how our teams work, and here’s how we’ll get there.”
Each engagement helps leaders turn ideas into action, align stakeholders, inspire buy-in, and accelerate execution with clarity and momentum.
The real complexity lies in understanding how people actually work, where they’ll trust AI assistance, and how to integrate agents into workflows without creating new friction.
Before any agent can be effective, you need deep insight into how your employees operate:
This is where human-centered design becomes critical. Research shows that AI systems focused on human needs—not just technical capabilities—are more likely to succeed. As Deloitte states:
“User-centered design is necessary to both the creation and deployment of algorithms intended to improve expert judgment.”
Even seemingly simple questions matter:
These aren’t technology questions. They’re design questions, complicated by the realities of enterprise environments: legacy systems, regulatory constraints, organizational politics, and variable tech fluency.
McKinsey calls this a strategic inflection point:
“AI agents will redefine how companies operate, compete, and create value.”
If AI is going to reshape your operations, the question isn’t whether to act—it’s how intentionally you’ll do it.
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Because the future of work is being designed right now. And the companies that transform from the inside out will be the ones that lead the next chapter. Book a conversation with our team.