Knowledge is everywhere
Important context lives across people, calls, documents, CRM records and disconnected tools.
AI Knowledge Audit · DatBrain
Know what to build before you add another AI tool.
In 7–14 days, map your company knowledge, identify the AI use cases worth pursuing and leave with a practical 30/60/90-day roadmap.
Built for established companies · Senior-led · No forced implementation
The expensive problem
AI without company context creates faster output—not better decisions.
AI lacks your judgment
Tools can generate, but they do not know your positioning, customers, rules or hard-won experience.
Pilots never become systems
Teams test tools in isolation without an architecture, ownership model or measurable business case.
What you receive
A decision-ready blueprint.
- 01Knowledge map
Where critical knowledge lives, who owns it and where it is currently lost.
- 02AI-readiness diagnosis
Sources, gaps, constraints, risks and the minimum foundations required.
- 03Use-case prioritisation
Opportunities ranked by expected value, feasibility and speed to evidence.
- 04Company Brain architecture
Recommended sources, taxonomy, governance and activation workflows.
- 0530/60/90-day roadmap
What to do now, next and later—with a clear first pilot.
Fit
Useful when the business is real and the AI direction is not.
Strong fit
- Established offer, customers and internal knowledge
- Multiple documents, systems or teams
- A concrete need in content, sales, support or operations
- A decision-maker involved in the audit
Not a fit
- You only want a low-cost automation
- There is no clear business problem yet
- No one can provide access to source material
- You expect AI to replace strategy or ownership
Next step
Find your highest-value starting point.
Complete the fit application. We review it and reply with the most useful next step—even when that is not DatBrain.