Whether it's a payment pipeline, an AI agent acting on behalf of a customer, or a multi-service fulfillment chain — Lamdis proves that every required activity actually completed. Not just that something happened. That it finished correctly.
Use Lamdis Cloud for fast adoption, or deploy self-hosted when evidence and workflow data must stay in your environment.
Built for teams operating auditable workflows in financial services, healthcare, insurance, enterprise automation, and other regulated or high-trust environments.
Simulate critical operations before release. Catch incomplete processes before they reach production.
Gather functional evidence that production activities completed as required. Route gaps to reviewers.
Instrument critical service boundaries so downstream activities aren't just assumed to have happened.
Lamdis verifies outcomes, not latency or uptime.
Tests check code. Lamdis checks whether the business process actually completed.
Logs record events. Lamdis evaluates whether required activities happened.
The problem
Each team can monitor their own service.
Compliance needs evidence that the entire process completed correctly — across every service involved.
The real state changes happen deep in downstream systems that other teams don’t control.
No one owns end-to-end proof that the whole operation actually finished.
AI agents treat partial signals as proof of completion — a 200 OK becomes “task done” even when downstream systems never finished.
So teams check what they can see at the surface and hope that every downstream system did its part.
What Lamdis does
Know which steps in a multi-service operation are backed by real evidence — verified outcomes, independent checks, or end-to-end confirmation.
Lamdis marks where evidence stops — so a 200 OK, a queued message, or a successful API call doesn’t get mistaken for actual completion.
Start with black-box checks and production observations. Add lightweight instrumentation only where stronger proof is worth it.
Concrete example
Here's what Lamdis shows for a single operation across five services. Each activity has a clear evidence status.
Payment gateway accepted the inbound transaction
AML/KYC checks completed with no flags
Ledger service placed a hold on sender funds
Currency exchange applied at quoted rate
SWIFT message dispatched to intermediary
Funds deposited into recipient account
The API returned success. But without Lamdis, the team would have assumed the entire operation completed — when two critical downstream activities had no evidence at all.
What Lamdis helps you answer
Did this operation actually complete — across every service involved?
Which activities are confirmed with real evidence vs. just assumed?
Where does our evidence stop?
What do we have for audit or post-incident review?
Which critical processes still need stronger evidence coverage?
How it works
Simulate operations in CI and staging to catch incomplete processes before they reach production.
Score responses against your quality criteria
Verify that downstream actions actually happened
Gate deployments when workflows fail checks
Test with realistic multi-step operation scenarios
Same operation. Same checks. Stronger evidence over time.

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Lamdis is production-ready. The Founding Program is a limited cohort for teams who want concierge onboarding and direct input on reporting, evidence, and reviewer processes.
No production data required to participate.
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