Evidence before expansion

Recommendations should be tied to workloads, constraints, and validation evidence, not general market momentum.

Boundaries are part of the deliverable

Every engagement should clarify what is known, what is assumed, what remains unverified, and what the work does not promise.

Vendor-neutral by default

The right answer may be local, hosted, hybrid, open-source, commercial, or no deployment yet.

Small first, then scale

A narrow pilot with clear acceptance criteria is more useful than a broad transformation program with weak proof.

Boundaries

What the site intentionally does not claim.

No fabricated proof

The site does not present fake clients, testimonials, ratings, certifications, staff counts, usage metrics, or completed integrations.

No automatic compliance claim

Security, privacy, and regulatory requirements require discovery, access modeling, and legal review before operational claims are made.

No guaranteed AI outcome

AI Integrator can define and verify behavior under agreed conditions. It cannot guarantee future model behavior or vendor reliability.

Separate free resource

OpenSourcesAI remains a separate discovery and education site.

AI Integrator may link to it as a research resource, but this site is the professional-services counterpart for paid implementation guidance.

Visit OpenSourcesAIStart assessment