FOR TEAMS EVALUATING AI IN EVERYDAY BUSINESS WORKFLOWS

Know whether your AI can support the decisions your team makes.

Test document-grounded assistants, retrieval-augmented systems, and tool-using agents against realistic work. FAHALWAYS turns an agreed workflow into assignments and private scoring materials that help your team examine accuracy, evidence use, and human handoffs.

Watch the two-minute business exampleExplore the three-case pilot

Would your AI flag an invoice that needs review?

A project manager needs a budget and payment-review memo. The evidence is spread across invoices, purchase orders, and change notes. A useful answer must reconcile repeated entries, distinguish requests from approvals, and state which decisions remain unresolved.

Synthetic illustration, not a client result. Complete files and reference answers remain private.

A practical engagement

  1. Describe the job: what the system should do, who uses the output, and which mistakes matter.
  2. Agree three cases: select representative conditions and consequential exceptions for that workflow.
  3. Receive the package: assignments, source materials, reference deliverables, scoring rubrics, and usage guidance.
  4. Run, review, and improve: your team tests its system, reviews completed work, and reruns the agreed cases after changes.

What the evaluation can examine

Evidence and calculations

Does the answer use the current source, reconcile conflicting records, and support calculations and claims?

Decisions and handoffs

Does the system recognize missing evidence or authority and identify the right next step for a person?

Completed deliverables

Is the requested memo, spreadsheet, or other output accurate, complete, and usable for its stated purpose?

Use your existing AI system

The core pilot creates evaluation materials. You run your assistant or agent in your environment and review its outputs. We can separately scope model execution, scoring, version comparisons, and a findings discussion. No production-system access is required for a pilot built with synthetic or rights-cleared materials.

Keep the scope focused

A three-case pilot provides a focused view of the agreed workflow. Broader coverage, ongoing regression testing, or implementation changes can follow through a separate scope. Findings apply to the cases and conditions tested.

Request a pilot scopeSee deliverables and client inputs

Start with a high-level description of your workflow. Confidentiality and data-handling requirements are agreed before sharing source files.