Put human judgement where AI needs it.
Support users, review outputs and surface edge cases with a human operation built around your evaluation criteria. Turn uncertain cases into useful feedback.
Less friction. A clearer way forward.
Explore the moments that slow your team down — and what changes with DEP.
Route exceptions to trained reviewers.
Define which outputs need human review and what a reviewer can decide. Escalate sensitive or unclear cases to the people you designate.
Make the business case.
Agree a baseline, run a pilot, and compare the same measures. These are indicators to track, not promised results.
Turnaround
Time from a flagged output to completed review
Review quality
Agreement with your defined evaluation criteria
Rework
Reviews returned for correction or clarification
Built around your reality.
Define the requirements before you start. Keep the decisions that matter in your hands.
- Documented review criteria and escalation thresholds
- Reviewer training and calibration examples
- Data access, handling and retention requirements
- Sampling, quality checks and feedback ownership
Start with one real workflow.
Bring your current process, constraints and a sample of the work. Together, we can define the scope and what success should look like.
- 01Map the current process
- 02Agree scope and success measures
- 03Review results before expanding
Start with one real workflow.
Bring your current process, constraints and a sample of the work. Together, we can define the scope and what success should look like.