Define the scenario
Describe the starting record, users, decision, and expected output. Include a difficult or incomplete example alongside the normal workflow.
A practical evaluation guide Make the demonstration answer a buying question.
Choose a workflow, bring a representative example, and agree what a useful result looks like. Use the same inputs and review criteria to compare the product with your current process.
A practical evaluation guide
Start with a baseline you can explain.
A credible comparison records how the work is done today, what the evaluation changes, and who reviews the result.
Record the current process
Measure the same task using the current tools. Keep preparation time, processing time, reviewer corrections, and data gaps visible.
Agree acceptance in advance
Choose the measures, sample, pass criteria, reviewers, and permitted data. Record exceptions and the limits of the comparison.
A practical evaluation guide
Keep the evaluation evidence in one record.
Use the same questions and scenario for each product. Record the evidence, result, and owner, then save a separate copy for each evaluation.
A practical evaluation guide
Measure the job the product is meant to do.
These are proposed evaluation measures. The website does not publish customer benchmarks or claim a measured improvement.
| Product | Representative input | What to measure against the baseline |
|---|---|---|
| DELPHI Ai ↗ | Approved manuals with conflicting revisions and difficult or unanswerable questions. | Citation support; revision correctness; unsupported answers; time to verify. |
| TRACE Ai ↗ | A representative closed case with permission to use its evidence. | Investigator preparation time; missing evidence; reviewer corrections. |
| CREW Ai ↗ | A representative roster, current constraints, and a disruption scenario. | Planning time and solver runtime; uncovered duties; constraint violations; roster cost. |
| AURORA Ai ↗ | An occurrence, risk assessment, and corrective action from the same workflow. | Action preparation time; overdue actions; completeness of closure evidence. |
| MENTHOR Ai ↗ | A training requirement, a pilot record, an instructor assessment, and a representative FDM event export. | Record preparation time; time from a recurring event to an assigned course; overdue assignments; assessment completeness. |
| HIRE Ai ↗ | Permissioned applications and assessments with an agreed reviewer rubric. | Review time; scoring agreement; errors by relevant applicant group. |
| WORKSPACE ↗Deployed per operator | Test accounts with different application grants, including one with no access. | Agreement between assigned access and visible cards; time for a change to appear; denied launches for removed access. |
| FOLIO Ai ↗ | A complex DOCX manual and a representative change request. | Import corrections; revision cycle time; acknowledgment completion. |
| FLIGHT Ai ↗ | Representative return documents and a held-out period of flight records. | Field accuracy; missing-data coverage; forecast error; reviewer correction time. |
| PINAX Ai ↗ | An operating period with a known source and a specific punctuality question. | Report preparation time; source coverage; agreement with independently calculated metrics. |
| VISION Ai ↗ | An approved sample dataset, a reporting question, and the dashboard your team uses today. | Dashboard preparation time; agreement with reference calculations; reviewer corrections; report preparation time. |
| EPHOR Ai ↗ | A training session change and a document package with a revision. | Approval turnaround; revision queries; reconfirmation completeness. |
| PHAROS Ai ↗In development | Synthetic fixtures and independent reference decodes for an agreed aircraft layout. | Decode agreement; event detection errors; data-quality coverage. |
| CARE Ai ↗Operator activation | Approved airline guidance, a policy exception, and a caller asking for a person. | Answer support against approved sources; handoff completeness; queue wait; callback follow-up time. |
| XENIA Ai ↗Preview | Approved destination content and representative travel enquiries. | Enquiry completeness; handoff completion; answer usefulness. |
A practical evaluation guide
Record what you are buying and operating.
Use the evaluation record to connect product fit with delivery responsibilities.
Product and record ownership
Identify native capabilities, separately scoped products or services, retained systems, migration, and each authoritative record.
Compare products ↗Deployment and data
Record the WingLayer environment, provider data flows, access controls, recovery arrangements, export, and retention.
Hosting, data, and support ↗Acceptance and support
Name the accepting roles and define rollout, user orientation, support hours, escalation, maintenance, and outstanding actions.
How implementation works ↗A practical evaluation guide
What a credible outcome report contains.
Use the same standard for an internal evaluation or a customer story approved for publication.
Scope and conditions
State the workflow, data period, sample, deployed scope, source connections, and what was excluded.
Observed results
Report baseline and evaluation measurements together, including errors, missing data, reviewer effort, and remaining limitations.
Review and permission
Include the acceptance decision and responsible reviewers. Publish customer identities, comments, and results only with permission.
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