Defined function, visible review
Test one AI job before it becomes part of operations.
Assess and prototype concrete functions such as intake classification, knowledge retrieval, assisted drafting, and human review support.
Discuss the AI use case- 01Use case
- 02Boundary
- 03Evaluate
- 04Review
Each stage leaves a reviewable artifact or decision.
The buyer problem
Start with the operating condition.
A team sees possible value in AI but has not named the user, decision, data boundary, failure mode, or evidence needed to proceed.
Potential deliverables
A package built for acceptance.
- 01
Use-case and authority framing
- 02
Data and risk boundary
- 03
Synthetic or approved-data prototype
- 04
Evaluation cases and observed results
- 05
Deployment-gap and decision memo
Acceptance evidence
What makes the work inspectable.
- Repeatable evaluation cases
- Observed outputs and failure examples
- Human-review and escalation record
Dependencies
What the package needs.
- Named user and decision owner
- Approved data boundary
- Review, retention, and failure-handling rules
Bounded delivery
One capability. Four control points.
The exact work changes by requirement. The need for visible ownership and evidence does not.
- 01
Frame
Name the user, owner, decision, and operating constraint.
- 02
Bound
Confirm inputs, dependencies, exclusions, and retained authority.
- 03
Deliver
Build with review points and reproducible test evidence.
- 04
Transfer
Leave accepted artifacts, risks, documentation, and owners.
Start with the work
Is ai adoption & bounded prototypes the right boundary?
Bring a safe requirement summary. BCA will help determine whether the work fits a separable package.
Discuss the AI use case