Your AI Agents are making decisions.
Do you know exactly what they're saying?
As of August 2, 2026, the EU AI Act requires supervision, traceability and auditing of every AI system interacting with your customers. Most companies deploying AI agents still have zero coverage.
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- Interactions audited100%
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Your AI agents talk to customers. Do you know what they're saying?
Since August 2, 2026, the EU AI Act requires supervision, traceability and auditing of every AI system interacting with your customers — no grace period. See how Lexic Compass independently audits your AI agents in production.
The risk nobody is measuring
99% of what your AI agents do is invisible
Every day, your AI agents handle thousands of customer interactions — resolving incidents, answering questions, executing transactions. But unlike a human agent, there's no supervisor listening. No QA. No audit trail proving what was said, what was promised, or what decision was made. When something goes wrong, you won't know where, when, or why.
No traceability
Can your AI agent prove why it made that decision? The EU AI Act requires it for high-risk systems.
No human supervision
100% of your AI agent interactions happen with no continuous auditing system in place.
No time
August 2, 2026 has come and gone. The obligation is in force today — if you're starting from scratch, you're already out of compliance.
Not observability. Not QA. Not CX analytics.
Four tools get sold as 'AI agent platforms.' Only one is an independent audit.
Observability tools log what your agent did. Evaluation and QA tools test it before launch, internally. CX analytics platforms measure how customers feel afterward. None of them independently verifies whether the agent is safe, compliant, and getting better or worse over time — which is exactly what Article 50 requires.
| Category | What it does | What it doesn't do | Examples |
|---|---|---|---|
| Observability | Logs 100% of interactions and traces | Doesn't judge quality or compliance — it records, it doesn't evaluate | Langfuse, Langsmith, Arize |
| Evaluation / QA (pre-deployment) | Tests the agent against defined scenarios before launch | Not independent — the evaluator is part of the team that built the agent. Covers simulated scenarios, not production | Maxim AI, Galileo, DeepEval |
| CX Analytics | Measures NPS, CSAT and sentiment | Doesn't audit the AI agent itself — no visibility into its compliance posture or hallucination rate | Qualtrics, Medallia, Sprinklr |
| Independent Audit (Lexic Compass) | Analyzes 100% of real production conversations across the 4-Pillar Trust Score — Integrity & Safety, Regulatory Trust, Operational Reliability, Experience Trust — and delivers a signed verdict: Cleared, Cleared with Conditions, or Not Cleared | — | Lexic Compass |
If you already have observability or CX analytics in place, keep them. Compass is the layer that tells you whether what they're showing you is actually safe to put in front of a regulator or a board.
Lexic AI Agent Audit
Continuous auditing of 100% of what your AI agents do
Lexic's Active Listening Engine analyzes 100% of your AI agent interactions — not a sample, all of them — continuously and automatically. It detects anomalies, captures the audit trail the EU AI Act requires, and generates the supervision reporting you need to demonstrate control.
100% coverage
Every interaction from every AI agent, audited. Not 1%. All of it.
Full audit trail
Immutable record of what your agent said, when, to whom, and why. EU AI Act-ready.
Anomaly detection
Automatic alerts when an agent deviates from expected behavior or makes a high-risk decision.
Documented human oversight
Oversight dashboard that proves effective human control over your AI systems.
100% of interactions audited · Time-to-compliance: 4 weeks
What we audit
The Lexic Compass Trust Score — 4-Pillar audit matrix
Integrity & Safety, Regulatory Trust, Operational Reliability, and Experience Trust — scored together, in one structured view, on a 0-100 Trust Score.
PILLAR 1 · INTEGRITY & SAFETY
Security, ethics & data protection
Red-team battery against prompt injection, jailbreaking, and data exfiltration. Weighted 30% of the Trust Score.
Prompt injection attacks
Jailbreaking attempts (behavior override)
PII / data leakage prevention
Agent disclosed a simulated API key on turn 6.
Discriminatory or manipulative behavior
PILLAR 2 · REGULATORY TRUST
EU AI Act & GDPR compliance
Transparency, risk classification, and human-oversight obligations under the EU AI Act and GDPR. Weighted 30% of the Trust Score.
EU AI Act Article 50 transparency
Annex III risk classification
Human oversight & escalation path
Agent did not escalate when the customer explicitly asked for a human on turn 11.
GDPR-ready audit trail
PILLAR 3 · OPERATIONAL RELIABILITY
Accuracy & robustness under load
Acoustic DSP, latency, and stability under synthetic stress. Weighted 20% of the Trust Score.
Turn-around latency (P95)
Word Error Rate (75 dB injected noise)
Barge-in handling (overlap error rate)
Load stability (1k Telnyx calls max-stress)
PILLAR 4 · EXPERIENCE TRUST
Task completion & conversational quality
Whether the agent actually resolves the customer's issue, and how it behaves when it doesn't. Weighted 20% of the Trust Score.
Task completion rate
Tone & empathy consistency
Conversational repair after misunderstanding
Agent repeated the same scripted answer 3 times after the customer said it didn't help.
Sentiment trend across the session
The process
From zero visibility to compliance in 4 weeks
Flash Preview
72 hours, free
We connect to your interaction sources. In 72h you get a preliminary Trust Score and exposure diagnostic: what your agents are doing, where the risk is, and what compliance gaps exist against the EU AI Act — before you decide whether to commission a full Audit Sprint.
Audit Sprint
4 calendar weeks
We run the full audit: a representative sample of real conversations, adversarial red teaming, and a scored assessment across the 4 Pillars — Integrity & Safety, Regulatory Trust, Operational Reliability, Experience Trust — ending in a signed Trust Score and executive verdict.
Enterprise Continuous Trust
Ongoing
For agents that keep learning, get prompt or model updates, or handle regulated interactions continuously, we deploy a live Trust Score dashboard with recurring red teaming, real-time alerts, and EU AI Act reporting ready for regulatory audit.
EU AI Act · What you need to know
In force since August 2, 2026: what the regulator requires from your AI agents
AI systems interacting with customers in financial services, insurance, utilities, telecoms, healthcare, and general customer service may qualify as high-risk. If your AI agent makes decisions affecting contracts, claims, or access to services, you are likely in scope. The Article 50 transparency obligation is enforceable today, since August 2, 2026, regardless of risk classification.
Effective human oversight · Decision traceability · Interaction audit trail · Transparency to the regulator · Incident logging · Ongoing risk assessment.
Fines for Article 50 non-compliance can reach up to €15 million or 3% of global annual turnover, whichever is higher. Obligations for high-risk systems under Annex III have been pushed back to December 2, 2027 under the Digital Omnibus — but Article 50 was not delayed and is enforceable now. The real risk is operational: an unaudited AI agent that makes an error in front of a customer is a problem you cannot defend without a documented Trust Score and audit trail.
What are your AI agents doing right now?
We'll tell you in 72 hours. No cost. No commitment.
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