Microsoft — Introducing the Evals for Agent Interop starter kit

engineering blog · source date 2026-01-26 · added 2026-05-17 19:43:41 · updated 2026-05-30 17:20:13 · Open original blog

Enterprise agents operate across email, documents, Teams, calendar, and business data, so isolated model-answer scores do not capture real workflow reliability.
Organizations need evals that reflect local policies, schemas, permissions, and business constraints rather than generic public leaderboard tasks.
Governance requires auditable evidence: what scenario was run, what data was used, what the agent did, and why a grader accepted or rejected it.

Microsoft's starter kit packages templated scenarios, representative data, an evaluation harness, and configurable rubrics for Microsoft 365-style agent workflows.
It combines programmatic checks such as schema adherence, tool correctness, and policy compliance with calibrated AI-judge assessments.
The framework treats evals and guardrails as related infrastructure: the same behavioral requirements should shape both testing and runtime controls.
The intended workflow is adaptation, not blind reuse: teams customize scenarios and rubrics to match their own enterprise processes.

This is a useful example of evals as enterprise governance infrastructure, not merely research benchmarking.
The reusable pattern is workflow realism plus auditability: realistic cross-app tasks, explicit rubrics, machine-checkable constraints, and reviewable traces.
It shows why production agent evaluation must include organizational context such as permissions, compliance, and business-process fit.

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