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AI advisor vs AI agency

An advisor installs capability in the client’s accounts and hands off a working implementation. An agency often builds and then operates a stack that requires a monthly fee. Dugan AI follows the first model.

How the two models compare

Comparison of the advisor model and the agency model across five dimensions
Advisor modelAgency model
Who does the workA named person, on-site with you.Who does the workA team or vendor, usually remote.
What you end up withA capability you own and can run yourself.What you end up withA system the provider continues to operate for you.
Ongoing costProject-based. Running costs and support are agreed in your proposal.Ongoing costTypically a monthly retainer.
Where the knowledge livesTransferred to you and your team.Where the knowledge livesOften stays with the provider.
Best fitOwners who want to learn the system and keep control.Best fitOrganizations that prefer to fully outsource and keep paying for management.

What you own at handoff

Where Dugan AI fits

Dugan AI works entirely in the advisor model. Chris Dugan is a Pittsburgh-area in-person AI advisor: the work is done alongside you, on your own accounts and tools, and then handed over. I build an asset your business owns. Your proposal explains which accounts you control, what it costs to run and how support will work. Website care is optional. An application needs an agreed operating plan, with me or a qualified provider.

When an agency is the better fit

An agency makes sense when you want the work fully outsourced and you are comfortable paying a recurring fee to keep it running. Some businesses prefer not to manage prompts, files, or weekly tweaks themselves. If that is your situation, an agency is likely the better fit.

Dugan AI does not sell open-ended management. Any ongoing support is scoped in your proposal. See services and pricing for the fixed-scope options, or read more answers on the common questions page.

Common questions

Not sure which model fits your business?