Who MirrorFirm is for

Build agents around connected business tasks, including the handovers and dependencies that determine what happens next.

Scenario: an agent finishes a step and passes the work on. Evaluate whether it can tell what the next team depends on from the records it is given.

Translate operating patterns into roles, records, tools and changing state that agents can work with.

Integration question: which roles, records and tools does your environment need to expose, and which state changes must later steps be able to see?

Scope evaluations around business decisions, policy boundaries and explicit outcomes informed by observed operations.

Evaluation question: what is the explicit expected outcome for each task, and which policy boundary does it test?

Start with an inspectable generated-data release, documented provenance and clear terms for the buyer’s intended use.

Checklist: can the release be inspected before purchase, is provenance documented, and do the terms match the use your own buyer intends?

Give model training a richer picture of business operations, with generated records shaped by observed workflows, decisions and exceptions.

Scenario: a lab wants training material in which a decision is followed by downstream work. The useful question is whether the records carry the decision, its policy and the consequences together.