Bring us one agent answer that must remain defensible after the facts change.

Your agent summarizes filings, earnings, guidance, or proprietary research and must show which version it used.

Policy, entity, or transaction context changes over time and a reviewer needs to reconstruct the answer at the original decision point.

You want evidence-aware memory to be a product capability for your own customers, not a one-off dashboard.

Map one answer that changes when the source changes. Define the evidence required to reproduce it and the deployment boundary.

Integrate bitemporal writes and recall, feed a representative revision stream, and establish reviewable evidence receipts.

Run the jointly defined acceptance suite, document the architecture and gaps, and agree on the production expansion decision.

Select one sanitized workflow, define its changing-facts failure, and agree on measurable acceptance criteria.

Run the temporal evaluation, point-in-time reconstruction, and adversarial correction cases against representative data.

Receive the test artifacts, findings summary, risks, and a clear recommendation to stop, self-implement, or proceed to the founding implementation.

A scoped implementation in one agent workflow, including its point-in-time retrieval path and evidence records.

Repeatable cases for source revision, stale-fact exclusion, reconstruction, and the exceptions that matter to your users.

Recommended architecture, customer-controlled responsibility boundaries, gaps to close, and an explicit recommendation on whether to expand.