Business Transformation / AI Adoption
AI Adoption
AI is not a technology problem. It's a people problem.
The technology is rarely why an AI initiative stalls. The reasons are human: no shared definition of success, no ownership, no trust in the output, and no plan for the weeks after rollout. That is the part we work on.
The reality
2026 AI Adoption in the Enterprise, WRITER & Workplace Intelligence
Where it breaks
Five ways AI adoption breaks. None of them are technical.
Strategy as show
A strategy on paper with no outcomes attached, no one accountable, and no return to point to.
The two-tiered workplace
An AI-fluent few and everyone else. Resentment follows, and so does quiet resistance.
The trust gap
When people don't trust the output, distrust turns into sabotage. In one survey, 29% admitted to it.
Governance disconnect
No guardrails, so usage goes underground. Shadow tools and real security risk follow.
Activity is not adoption
Logins and prompts counted as success. Neither one measures whether behavior changed.
How we work
A human-centered approach, in three phases.
A 20-minute readiness diagnostic across five dimensions that surfaces the gaps that kill adoption, before deployment begins.
Communications, capability, governance, and environment, built from what your diagnostic found, not from a template.
Six adoption measures and a real-time response to resistance, so adoption holds after the engagement ends.
The human side of change is the real difference between what AI could do and what an organization actually adopts.
2026 AI Adoption in the Enterprise, WRITER & Workplace IntelligenceSee where your organization stands.
Talk to us about what you are trying to put in place.
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