01
A common evaluation method
Reusable ways to assess evidence, completeness, uncertainty, and the effort still required from people.
Know whether AI
can do your work.
We work with your specialists to design and run evaluations around your workflows, records, and acceptance criteria. Understand what works, what fails, and what to improve.
Discuss an evaluation
Built around your operation
Your workflowsYour recordsYour acceptance criteria
From a promising AI demo
to a decision you can defend.
A scoped service. A benchmark built for your work.
Start with the work.
Choose the decision you need to make: assess an existing assistant, compare vendors, or test whether a workflow is ready for implementation.
A defined scope
Agree the task, available information, expected work product, and limits of the evaluation.
Your domain experts
Work with the people who understand the records, exceptions, and consequences of getting the task wrong.
Build the test around reality.
Turn representative work into repeatable cases. Include the incomplete records, conflicting instructions, and handoffs that make the task difficult.
Clear grading criteria
Define what a correct, complete, and properly supported outcome looks like with your reviewers.
Visible critical failures
Report missed exceptions and approval violations separately, so an average score cannot hide them.
See what changes the outcome.
Run the agreed cases under documented conditions. Inspect the output, source use, actions, and review effort behind each result.
Comparable conditions
Record the model, context, tools, and run limits. Hold other factors constant when testing a specific change.
Useful failure analysis
Identify whether the problem lies in missing context, retrieval, the model, a tool, or the workflow.
Keep the evidence.
Reuse the evaluation.
Receive an evaluation pack that documents what was tested, how it was assessed, and what the findings support.
A tangible handover
Versioned cases, scoring criteria, test conditions, graded outputs, and an actionable findings report.
A basis for improvement
Retest after a model, source, or workflow changes. Keep improvement examples separate from final evaluation cases.
Shared methods.
Specific to your operation.
02
A workflow-specific case set
Tasks built around work such as contractor readiness, maintenance preparation, or regulatory response.
03
Your operating context
Your assets, procedures, records, approval responsibilities, and agreed standards for acceptable performance.
Contractor readiness
CP–104
Certificate valid through24SEP
Planned mobilization26SEP
Illustrative source recordsAn illustrative case · Contractor readiness
The certificate expires
before mobilization.
Does the AI notice?
A useful evaluation checks whether the system connects the two dates, cites the evidence, and asks for an updated certificate before the package can proceed.
What would we assess?
- Identifies the expiry conflict.
- Uses the applicable source records.
- Requests the missing evidence.
- Leaves release with the named approver.
Fictional example. No model performance is reported.
One workflow.
A clearer AI decision.
Bring the task and the question you need answered. We’ll scope an evaluation with your team.
Discuss an evaluation
