Define the decision
Agree on tasks, unacceptable failures and human review boundaries.
AI EVALUATION & OPERATIONS
From a successful demo.
To a sound decision.
Evaluate quality, information handling, human review, cost and operations under agreed conditions. Build evidence for the production decision and a repeatable evaluation process.
Discuss this challenge ↗DESIGN BLUEPRINTCONCEPT
01
Tasks & reference answers
↓02
Agreed evaluation
↓03
Quality, effort & limits
↓04
Proceed, retest or stop
Illustrative workflow, adapted to your business requirements.
01 / THE CHALLENGE
It works in the demo. Is it ready for the business?
- The PoC has no agreed decision criteria.
- Operational effort and risks are not yet understood.
- You need to check quality after future changes.
02 / HOW WE HELP
Designed around your operations.
Compare consistently
Keep representative and edge cases, and inspect individual and aggregate results.
Evaluate after changes
Include regression checks, issue reporting and pause criteria in operations.
FROM DATA TO ACTION / WORKFLOW EXAMPLE
Turn prototype responses into decision evidence
This is an illustrative workflow, adapted to the data, integrations, permissions and review team. It is not a client case study or a claim of results.
- 01
Prepare the data
Collect ordinary, difficult and prohibited cases. Separate evaluation from development data and agree expected evidence and outcomes with reviewers.
- 02
Make a reviewed decision
Compare review time, omissions and handling of unanswerable cases alongside correctness. Revisit scope or operations if serious failures remain despite a good aggregate score.
- 03
Act and verify
Choose rollout scope from the evidence and remaining issues. Reuse evaluation cases after launch to check changes to settings and source materials.
03 / CLEAR SCOPE
Agree on what we deliver.
These deliverables are a starting point. We agree on scope and acceptance criteria based on your environment and the state of your data.
Explore the related service ↗- 01Evaluation plan and decision criteria
- 02Test cases and results
- 03Open issues and production scope
- 04Re-evaluation and operating procedures
04 / BEFORE WE BEGIN
Start with what you know.
You do not need a complete specification. We confirm data-sharing and confidentiality arrangements before starting.
- Target tasks and users
- PoC artifacts and evaluation records
- Expected answers and critical failure examples
05 / NEXT STEP
06 / ACCEPTANCE & READINESS
What evidence moves the project forward?
Comparable conditions
Record datasets, settings and criteria. Inspect critical failures and human correction effort alongside successful cases.
Quality after changes
Repeat the evaluation after document, model or configuration changes and define regression and pause criteria.
| Review topic | What to agree |
|---|---|
| Scope and data | Target workflows, users, evaluation cases, permitted information and exclusions. |
| Acceptance and decision | Expected results, critical failures, reviewers and conditions for production. |
| Operations and handover | Refresh, monitoring, exceptions, necessary records, rollback and responsibilities. |
LET’S CREATE WHAT’S NEXT
Let’s define the opportunity.
Tell us about your workflow and where you are today. We will propose a clear scope, deliverables and next steps.
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Book an online consultation on TimeRex ↗