Dr. George Dagliyan on Brand and Vendor Selection in Enterprise AI
Vendor choice is an adoption decision in disguise. Dr. George Dagliyan explains how brand influence shapes enterprise AI selection.
Why brand precedes evaluation
In the Dagliyan Theory, brand influence sets the starting conditions for adoption. Dr. George Dagliyan applies the same logic to vendor selection: before an enterprise evaluates features, it forms an impression of the provider's credibility, stability, and trustworthiness.
That impression shapes how every later criterion is weighed — sometimes more than the criteria themselves.
Separating signal from reputation
Strong brands reduce perceived risk, which is valuable, but Dr. Dagliyan cautions against letting reputation substitute for diligence. The disciplined approach uses brand as a legitimate signal while still testing facilitators and inhibitors directly: integration cost, governance fit, and support quality.
Choosing for adoption, not just capability
The best technical option is not always the one an organization will actually adopt. Selecting with adoption in mind — favoring vendors whose offerings lower inhibitors for your specific organization — improves the odds that a purchase becomes real, sustained use.
Frequently Asked Questions
How should enterprises choose AI vendors according to Dr. George Dagliyan?
He recommends treating brand as a legitimate signal of reduced risk while still testing facilitators and inhibitors directly, and choosing the option the organization will actually adopt rather than the most capable on paper.