EXPERT-AUTHORED AI EVALUATIONS
Can your AI handle the work you need it to do?
We turn your business workflows into practical tests for AI. Each engagement gives your team realistic assignments and private evaluation materials to check where its AI succeeds, where it fails, and what needs improvement.
Environment Studio
Commission a custom evaluation environment for a defined workflow. Deliverables can include realistic source files, multi-step assignments, reference outcomes, and evidence-linked scoring rubrics.
Case Library
Discuss licensing independently owned or rights-cleared professional cases. Case availability, adaptation, permitted use, and delivery formats are agreed for each engagement.
Agent Evaluation Lab
Design tests for retrieval, grounded answers, tool use, exception handling, and human handoffs. Model execution, integration, and analysis of customer-system results are separately scoped.
Reviewer & QA Services
Develop reference outputs, calibrate reviewers, review scoring criteria, and inspect evaluation materials for ambiguity, evidence gaps, and scoring consistency.
How this works in your organization
- You bring the job. Describe what your AI should do, who uses its output, and the mistakes that matter. We agree the workflow, source boundaries, and deliverables.
- FAHalways builds the evaluation package. We create tailored assignments, realistic source files, reference deliverables, and scoring criteria. Your team receives the materials privately with usage guidance.
- Your team runs its AI. The AI receives the assignment and source files. Reference answers remain separate for review. We can scope model execution separately if you need us to conduct the runs.
- Use the evidence to improve. Check the completed work against the agreed criteria to identify strengths and failures. Scoring, a findings report, and a review of results are additional services when included in the written scope.
A focused three-case paid pilot
For model and agent teams, enterprise AI owners, and evaluation leads: start with three cases for one agreed workflow. Each case includes an assignment, source materials, reference deliverables, and a scoring rubric. The package includes usage guidance and a handoff discussion.
Tell us your target workflow, expected output, system capabilities, constraints, and timing. We agree the case mix, file formats, review rounds, acceptance criteria, usage rights, and price before work begins. Model execution, scoring of model outputs, and a findings report are included only when expressly scoped.
Can your AI catch costly mistakes hidden across business documents?
Illustrative scenario, not a client result. A project manager asks: Are we within budget, and which invoices need attention before payment review?
The relevant information is spread across project documents. A useful AI recommendation must reflect the current records, flag inconsistencies, and recognize when approval is missing. A confident summary alone is not enough.
FAHalways turns a workflow like this into a structured test, with a defined assignment and a way to assess the completed work. The client can use the results to guide changes to its AI workflow.
Public examples describe the business challenge. Complete case files, reference answers, and detailed scoring materials are shared privately under agreed terms.
Questions before you start
Do you build the AI system?
An evaluation pilot creates tests and scoring materials. An implementation pilot builds or integrates a working solution. We scope these services separately.
Can you tell us how our AI performs?
Yes, when model execution, scoring, and a findings review are included in the engagement. The core case-development package equips your team to run its own evaluation; it does not include measured model results by default.
Can we see more before committing?
Start with a workflow discussion. We can arrange a selected preview appropriate to your needs, with confidentiality and permitted use agreed before sharing detailed materials.
What rights do we receive?
The written engagement specifies permitted use, access, redistribution, and any exclusivity or ownership arrangements. Detailed evaluation materials are delivered through the agreed private handoff.
Materials and data handling
Engagements can use synthetic or rights-cleared materials without live customer data. Before exchanging confidential files, agree permitted use, access, transfer, retention, deletion, and any third-party processing requirements. These requirements belong in the engagement scope; do not send sensitive source materials in an initial inquiry.
Turn findings into improvements
Our consulting work supports opportunity assessment, implementation pilots, integration, and governance. Explore consulting or tell us about your workflow.