AI Adoption Checklist
A framework for deciding which AI tools are actually worth adopting, plus specific starting points for construction, manufacturing, professional services, finance, and real estate.
Run the five core checks against any AI tool under consideration before it touches a real account, then use the matching industry section to identify which use cases are worth piloting first.
The Checklist
Start with the five core checks. They apply to any AI tool, in any business. Then use the section for your industry as a starting point for specific use cases worth evaluating first.
Five questions decide whether an AI tool becomes a useful part of the business or an unmanaged risk sitting on the network.
Construction firms generate constant paperwork, photos, and historical project data, all of which an AI tool can touch if it is not scoped carefully.
On a plant floor, AI tools tend to plug into equipment data and inventory systems, both of which carry real operational risk if access is not limited.
Law firms, accounting firms, and consultancies hold client-confidential material by default, so every AI tool decision starts as a confidentiality decision.
Bookkeeping and finance teams hand AI tools direct access to transaction and account data, which raises the bar on what access control has to mean.
Real estate transactions move through buyer and seller personal information at every stage, and marketing copy carries its own compliance rules AI tools don't know about.
An AI tool with broad, unscoped access to files or email creates a new attack surface the moment it is connected, regardless of how useful the underlying task turns out to be.
The NIST AI Risk Management Framework and CISA's cybersecurity best practices guidance are both useful starting points for a business writing its first AI data-handling rules.
Looking for a broader IT self-review? See the IT Health Checklist.
Answers
BRITECITY helps Orange County businesses evaluate and roll out AI tools without creating a new data-protection problem in the process.
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