When automation fails,
can you prove what happened?
TenetSafe provides independent, tamper-evident, cryptographically verifiable records for traditional and AI-driven workflows — so you can reconstruct decisions, satisfy auditors, win clients and defend outcomes.
A Foundation for AI Accountability
AI governance doesn’t start with policies. It starts with evidence.
- 01
Attribution
Who authorized the AI system to act
- 02
Traceability
What actually happened during execution
- 03
Oversight
Where humans intervened — or didn’t
Use the extra time before strict EU AI rules fully bite to build this foundation now — turning TenetSafe into an enterprise deal unblocker today and a compliance asset tomorrow.
The Accountability Gap
When an AI system makes a mistake, logs are not enough.
Logs are not evidence.
- Who approved this system to act?
- Under what constraints?
- What exactly did it do?
- Where was human oversight?
A tamper-evident, independent record of declared intent, execution outcomes, and human oversight.
TenetSafe acts as an independent witness to every AI workflow execution - binding human authority to system actions in a verifiable evidence chain.
Who Needs Evidence?
TenetSafe is built for organizations where "trust me" isn't enough — and where clear evidence can unblock enterprise deals.
Mittelstand & Manufacturing
Automating procurement, QA, or logistics? When physical or high-value systems are touched by AI, you'll need proof of what happened, and why.
- Liability protection
- Operational audit trail
Fintech & HR Tech
Building AI features for regulated clients? Prove that your AI agents separate data and decisions correctly, following declared intent and scope.
- Vendor due diligence
- EU AI Act & sector-governance readiness
Health Tech & Devices
Moving from PoC to Pilot? Your safety and compliance teams won't approve "black box" agents. Give them the evidence layer they require.
- Documented Human Oversight
- Internal compliance approval
Best fit for: Automation Leads, Compliance Officers & AI Architects enabling secure AI adoption.
Add tamper-evident architecture to your workflows.
How TenetSafe Works
You are only three steps away from "Safe-to-Fail" autonomy.
Declare Intent
Define immutable "Workflow Manifest" before the execution starts.
Track Human Oversight
Record the oversight any time the loop is paused for human input.
Seal Execution
Every session is sealed with a cryptographic signature and prepared for audit.
Note: EU AI Act compliance does not require zero failures. It requires documented human oversight, traceability, and explainability.
TenetSafe fits naturally into existing n8n workflows
Add it like any other node. No rewiring. No control logic. Just evidence.
why n8n + TenetSafe
n8n has seen rapid growth in popularity—especially in 2025 and 2026—reflecting its shift toward AI-native automation. In late 2025, it reportedly surpassed 230,000 active users and reached a valuation around $2.5B, signaling strong momentum for agentic enterprise workflow automation. Teams can build agentic workflows without losing visibility into what’s happening at each step.
We at TenetSafe decided to support n8n because it aligns with our values: transparency over black-box orchestration, maintainability over brittle automation, and flexibility over lock-in. Its emphasis on a "fair-code" approach and clear workflow structure makes it easier to attach evidence to the right moments in a run, and to reconstruct decisions during review.
TenetSafe is a natural fit for n8n because it:
- Hardens Agentic Workflows: Converts n8n’s flexible AI nodes into "Production-Grade" assets by attaching immutable evidence to every autonomous decision.
- Decouples Building from Auditing: Provides a dedicated "Compliance Dashboard" where DPOs and stakeholders can verify human oversight and authorizations without touching your production canvas.
- Ensures Forensic Redundancy: Automatically mirrors high-risk logs to independent, tamper-proof storage—protecting your audit trail even if a Docker volume fails or the n8n database resets.
- Closes the Accountability Loop: Leverages the node-based structure to make "Evidence-as-a-Node" a seamless part of the developer experience.
The Evidence Dashboard
Stop digging through observability logs. With TenetSafe v2, rich execution evidence is collected locally and anchored by an independent, KMS-signed digest for verifiable, reconstructable audits in seconds.
Intent Declared
Workflow: Customer Complaint Classification & Automation
Oversight Recorded
Outcome: AI Action Approved
Execution Sealed
Outcome: Email Sent
Request live demo and see TenetSafe in action.
Why not just use logs?
Observability tools are great for debugging performance.
They tell you how fast an error happened.
TenetSafe is for reconstructability. We provide an
independent witness to what was authorized and what occurred.
In an audit, internal logs are always suspect. TenetSafe provides credibility arbitrage: a third-party witness that changes the psychology of accountability.
Local-First Evidence, Remote Digest
Rich execution evidence is captured only inside your infrastructure. The Hub stores an independent, KMS-signed digest anchor, so audits stay verifiable without exporting sensitive payloads.
- Local backend is the evidence source of truth Workflow snapshots and full execution logs are stored inside your network so audits can be reconstructed later.
- No raw evidence leaves your network The Hub receives only digest payloads (hashes + minimal metadata) and a KMS signature—never PII or execution logs.
- Verify end-to-end in one workflow Recompute the hashes locally, rebuild the digest, and verify it against the Hub-signed anchor. Export an Evidence Pack for incidents.
Built for European AI governance
High-risk EU AI rules are now expected to bite from 2027/28 — giving you time to build a serious governance backbone instead of scrambling later. TenetSafe provides the reconstructability infrastructure that supports Article 12 (Record-Keeping), Article 14 (Human Oversight), and broader trustworthy-AI expectations from boards, regulators, and customers. Compliance becomes a by-product of running AI with evidence, not a blocker to deploying useful automation today.
- Bias-governance evidence: log when and how bias-mitigation runs happen, under which legal/policy basis and safeguards, and what changed in the system as a result.
The Mission
We are building the foundation for trustworthy, regulated AI—so organizations can experiment, deploy, and scale automations with confidence. Read our full Vision & Mission.
Ready to build defensible AI automations?