Every organization adopting AI eventually discovers the hard part was never the technology. It is the roles that no longer fit, the expertise that no longer settles an argument, the operating model built for a kind of work that is disappearing.
Most providers address the systems or they address the people. The two are not separable, and treating them separately is why so many transformations stall after the pilot.
Enterprise transformation experience at scale, with organizations that have a great deal to lose and no appetite for experiments that do not land.
Research-grounded method rather than borrowed frameworks, including original doctoral research on technology adoption and its effect on the professionals living through it.
Genuine attention to the people carrying the change. Most advisors have one of these three. The combination is what makes the work hold.
Deciding what to build, what to buy, and what it will ask of their organization.
Needing an outside read on strategy, technology adoption, and organizational capability.
Needing instruction in AI strategy, analytics, and business intelligence.
Whose old chapter has ended and whose next one has not yet taken shape.