Question 1

What is Tenet AI?

Accepted Answer

Tenet AI is an AI agent decision ledger and auditability platform. It captures every reasoning step of AI agents, creates immutable audit logs, enables deterministic replay of any past decision, and generates compliance-ready reports for EU AI Act, SOC 2, HIPAA, GDPR, and ISO 42001. Integration requires 2 lines of code and works with any LLM or agent framework.

Question 2

How is Tenet AI different from LangSmith or LangFuse?

Accepted Answer

LangSmith and LangFuse are LLM observability tools focused on prompt tracing and evaluation quality. Tenet AI is focused on decision-level compliance and governance — capturing what your agent decided, why, whether it would decide the same today, and generating audit trails that satisfy EU AI Act, SOC 2, and HIPAA requirements. Tenet is purpose-built for regulated industries where accountability and determinism matter.

Question 3

Does Tenet AI support EU AI Act compliance?

Accepted Answer

Yes. Tenet AI provides decision-level audit trails, human override provenance, and deterministic replay verification that map directly to EU AI Act Articles 11, 12, 13, 14, and 26 for high-risk AI systems. It also supports SOC 2 Type II, HIPAA 45 CFR 164.312, GDPR Article 22, and ISO 42001 compliance.

Question 4

How long does it take to integrate Tenet AI?

Accepted Answer

Tenet AI integrates in 2 lines of code and under 5 minutes. It is framework agnostic and works with LangChain, CrewAI, OpenAI Agents, Google ADK, AWS Bedrock, AutoGen, and custom Python or Node.js implementations.

Question 5

What AI frameworks does Tenet AI support?

Accepted Answer

Tenet AI is framework-agnostic and provides SDKs for Python and Node.js. It works with LangChain, CrewAI, OpenAI Agents SDK, Google ADK, AWS Bedrock, AutoGen, and any custom Python or Node.js AI implementation.

Question 6

What is an AI agent decision ledger?

Accepted Answer

An AI agent decision ledger is an immutable, append-only record of every decision an AI agent makes — capturing the intent, context snapshot, chosen action, confidence score, and reasoning at the time of execution. Tenet AI provides this as a managed service so you can replay, audit, and prove the provenance of any agent decision months or years later.

Question 7

What is AI policy drift detection?

Accepted Answer

Policy drift detection is Tenet AI's ability to replay a past decision against today's policy or model and detect if the agent would make a different decision now. This is critical for compliance — regulators need to know whether policy changes retroactively affect previous decisions.

Question 8

Can Tenet AI be deployed on-premise?

Accepted Answer

Yes. Tenet AI offers zero-trust on-premise and VPC deployment for Enterprise customers. Your decision data never leaves your infrastructure, which is essential for healthcare, finance, and government use cases with strict data residency requirements.

Question 9

What is the pricing for Tenet AI?

Accepted Answer

Tenet AI offers a free Developer tier with up to 500 decisions per month. The Team plan is $299/month for up to 5,000 decisions with full replay, drift detection, and compliance features. Enterprise pricing is available for unlimited decisions, on-premise deployment, and dedicated support.

Question 10

What is agent traceability and why does it matter?

Accepted Answer

Agent traceability is the ability to trace exactly why an AI agent made a specific decision — reconstructing the full chain from user intent to context inputs to reasoning to chosen action to side effects. It matters for regulated industries because auditors, regulators, and customers need to verify that AI decisions were correct, consistent, and made within policy. Tenet AI makes agent traceability a first-class capability with its decision ledger, context snapshots, and deterministic replay.

Question 11

How does Tenet AI provide end-to-end agent traceability?

Accepted Answer

Tenet AI captures a full traceability chain for every agent execution: (1) Intent — the original goal and constraints, (2) Context Snapshot — the exact data state at decision time, (3) Decision — the chosen action with confidence and reasoning, (4) Execution — the outcome and side effects. Each record is immutable and linked by hash, so you can prove exactly what happened, when, and why — with a single API call.

Question 12

How is Tenet AI different from Datadog or traditional monitoring tools?

Accepted Answer

Traditional monitoring tools like Datadog track infrastructure metrics — latency, error rates, uptime. Tenet AI tracks decision-level behavior — what your agent decided, why it decided it, and whether it would make the same decision today. This is purpose-built for AI compliance and governance in regulated industries, not infrastructure monitoring.