"BCG says 74% struggle to achieve and scale value"
The issue is rarely AI capability alone. AI may be fast, accurate, or even impressive, but like every major technology shift before it, it still has to solve a real human problem. More importantly, it has to fit the user’s existing workflow, context, and mental model.
That is where many initiatives break down. Too often, the workflow stays the same, so people simply default back to old habits. No one owns or considers the last mile of adoption. That's including training, escalation paths, QA, and change management.
Teams optimize for model accuracy while ignoring trust and usability under real pressure. And the pilot proves a concept without proving a business outcome. In other words, the system may work, but the experience around it does not.
Gartner said in 2025 that more than 40% of agentic AI projects will be canceled by the end of 2027 because of cost, unclear business value, or inadequate risk controls. That is why scaling AI is not just a technical challenge. It is a design, system, and leadership challenge. If you want AI to move from pilot to production, you design a new way of working around it.
For me, that comes down to three things:
Workflow fit. Where does AI show up, when, and for whom? If people have to go out of their way to use it, they usually will not.
Trust by design. Explainability, feedback loops, confidence signals, and clear human oversight all matter. Trust is an experience, not simply a feature.
Measurable outcomes. If the experience does not move something the business actually cares about, it will not survive long enough to scale.
This is why behavior change matters so much in AI adoption. Success depends on understanding what exact action users need to take, what is stopping them, what makes that action easier, and how the product supports repetition until the behavior becomes routine.
The future of experience design is not just better screens or smarter tools. It’s designing systems that fit human behavior, support trust, and create outcomes that matter.Most organizations are struggling because AI has not been fully integrated into the way people actually work. That is the gap experience design is built to close. fostering an environment where technology and human behavior evolve in tandem. That's good design.
And after all, Good design is good business.
If you’re leading AI initiatives in DFW (finance, healthcare, energy, entertainment), consider this: What has been your biggest pilot-to-production blocker?
Ready to unblock your AI adoption? Reach out to see how we can help you in your AI journey.
