Start with an evidence-based scope
Document the current process, its exceptions and the measures that matter before selecting technology.
Use case / Technology direction
Give answers an authorized source and a safe next step.
Employees need reliable information but existing documents can be outdated, restricted or contradictory.
Who it is for
Build enterprise AI assistants
Business process owners, technology teams and the people responsible for the workflow.
The business problem
Employees need reliable information but existing documents can be outdated, restricted or contradictory.
Agree what success means
Use your own operational baseline and acceptance criteria. No improvement percentage is assumed.
Product experience
A clear view of how it works
This workflow illustrates the solution approach. It is not a live product interface.
- 01Define scope
- 02Prepare sources
- 03Evaluate answers
- 04Escalate
- 05Review quality
A practical path from problem to implementation
Define scope
Choose a bounded knowledge domain and a responsible content owner.
Prepare sources
Check document permissions, currency and the circumstances in which no answer should be given.
Evaluate answers
Use representative questions, including ambiguous requests and unavailable information.
Escalate
Show source context and direct unresolved questions to the appropriate team.
Review quality
Track useful completions and error categories without retaining sensitive questions in general analytics.
Technology direction
A solution design scenario, not a claim of a turnkey released implementation. Refer to the linked product for its current status.
Intelligence with boundaries
Context. Controls. Accountable action.
Evaluate AI assistance separately from deterministic workflow. Review evidence and require approval before material actions.
Architecture & integrations
Identify the systems, owners and access contracts needed for this use case. Connector availability is confirmed during discovery.
Explore integration readiness →Security & governance
Review sensitive data, permission boundaries, retention and exception handling before implementation.
Review the trust centre →Explore the wider context
Find guides, documentation and insights →Your enterprise context
Start with the work you want to improve.
Share your priorities, existing systems and the outcome you need to work toward.
Discuss this use case