George Dagliyan on AI Adoption for Small and Mid-Sized Businesses
Published: 2026-05-08 — Dr. George Dagliyan site editorial team. Editorial brief.
Smaller organizations face distinct adoption challenges. George Dagliyan applies his framework to the realities they face.
This is site editorial commentary about research themes associated with Dr. George Dagliyan. Interpretations and examples are not verified quotations, personal advice, or reports of client work. This material is general information, not medical, legal, or other professional advice.
Different constraints, same forces
This commentary notes that small and mid-sized businesses face the same adoption forces as large enterprises, but under tighter constraints. Limited budgets and lean teams make cost and skills especially powerful inhibitors.
The framework still applies; the balance of forces simply shifts.
Playing to facilitators
Smaller organizations also have advantages — speed, closeness to customers, and fewer layers of decision-making. This commentary encourages them to lean on these facilitators, which can let them adopt faster than larger competitors.
Starting where value is clearest
His practical advice is to start where value is clearest and inhibitors are lowest, build trust through early wins, and expand from there rather than attempting transformation all at once.
Frequently Asked Questions
What does George Dagliyan advise for smaller businesses adopting AI?
He advises leaning on their natural facilitators — speed and customer closeness — starting where value is clearest and inhibitors are lowest, and expanding from early wins rather than transforming all at once.