Traceable AI workflows. Proven with evidence.

Model your AI workflows as traceable journeys. Define what must be true. Lamdis checks every run — from CI to production — and keeps the proof.

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Workflows

Name your business processes. Define expected events, checks, and confirmation levels.

Universal checks

Same checks run in CI, staging, and production. Evidence strength varies by environment.

Confirmation levels

From observed intent (A) to end-to-end proof (E). See exactly how strong your evidence is.

How it works

From requirement to proof in five steps

Lamdis turns your policies into traceable, evidence-backed checks that run everywhere — from CI to production.

Step 1

Tell Lamdis what matters

Describe a requirement, a bad outcome you care about, or a regulation you must comply with. Use plain language — Lamdis understands your intent.

"If a customer mentions self-harm, the agent must escalate to a human supervisor immediately."

Step 2

Lamdis suggests what to check

Lamdis generates structured checks, expected events, and verification points. Each check has a confirmation level showing how strong the evidence needs to be.

Escalation check (Level D) — Confirm ticket created in support system. Self-harm detection (Level A) — Verify decision was made to escalate.

Step 3

Review and activate

Review each suggested check, adjust thresholds and severity, then activate. Lamdis also shows you exactly where to add SDK instrumentation in your code.

Step 4

Lamdis watches everywhere

The same checks run in CI (simulated conversations), staging (real integrations), and production (real events from your SDK). What changes is the evidence strength, not the checks.

Step 5

Lamdis keeps the evidence

Every check result, event, and confirmation level is stored as immutable evidence. Export compliance reports, trace any workflow end-to-end, see exactly where visibility ends.

Security & trust

Tenant isolation

Dedicated data partitioning per org

Encryption at rest/in transit

TLS 1.3, AES-256

Secrets redaction

Auto-redact sensitive values in logs

RBAC roles

Viewer, reviewer, admin permissions

Audit logs

All actions logged with timestamps

Data retention controls

Configurable per policy

Data export

JSON/CSV/PDF bundles via API

Data deletion

DSR-compliant deletion mechanisms

Data storage clarification

Runs

Stores test artifacts (transcripts, scores, confirmations). Configurable retention period.

Assurance

Stores production evidence per retention policy. Supports immutable audit trail with hash verification.

Immutable integrity

SHA-256 hash chaining on all evidence. Tamper-evident storage for compliance.

Data access controls

RBAC roles: viewer, reviewer, admin. Scoped permissions by resource.

Export formats

JSON, CSV, PDF bundles. API endpoints for programmatic access.

Security FAQ

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Founding Program

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 workflows.

Dedicated sandbox tenant with templates to get you live fast

Priority support and fast iteration on workflow feedback

Roadmap influence on dashboards, evidence models, and reviewer UX

No production data required to participate.

Frequently asked questions

A run is one executed test scenario (which may be multi-turn) against one environment. It includes all assertions, judge evaluations, and HTTP confirmations within that scenario.

Get in touch

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