Your AI Agents are making decisions.
Independent AI governance and compliance audit.
As of August 2, 2026, the EU AI Act requires supervision, traceability and auditing of every AI system interacting with your customers. AI compliance software records the policy; Lexic Compass audits whether your agents follow it in production.
AI Agent Monitor — Live
- Interactions audited100%
- Anomalies detected today3
- EU AI Act audit trailActive
The Compass loop
Four steps, running continuously
LISTEN
Real production conversations
Compass processes real conversations between your AI agent and your customers as they happen — no test scripts, no simulations.
TRACEABLE EVIDENCE
Every finding, sourced
Every finding links to the exact conversation turn and the specific regulatory article — never a generic score.
VERDICT
Cleared / Cleared with Conditions / Not Cleared
A 0–100 Trust Score across 4 pillars, with an executive verdict your Board can act on.
LIVING TRUST
Never a one-off snapshot
The Trust Score updates as new conversations come in. Compass audits in near real time — trust stays current, not frozen at a past audit date.
The cycle repeats with every new conversation.
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 evaluateObservability vs. independent audit: what each one actually proves | 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. Read how the audit works in practice: how to audit AI agents across the 4 Trust Score pillars.
Named in enterprise RFPs
Lexic Compass vs. named AI governance and AI agent security platforms
Beyond the four categories above, these are the specific named platforms enterprise buyers and AI search engines most often put next to Lexic Compass in a shortlist. Each row reflects what the vendor's own site and documentation say about itself, not a guess.
| Platform | What it audits | Independent of the agent's vendor? | Covers EU AI Act Art. 50 specifically? | Built for |
|---|---|---|---|---|
| Lexic Compass | Conversational AI agents in production (chat, voice, WhatsApp), turn by turn | Yes — vendor-agnostic; audits the agent regardless of who built it | Yes — the Regulatory Trust pillar is explicitly weighted to Art. 50 disclosure and consent | Compliance/Legal first, with evidence engineering teams can act on |
| Holistic AI | AI systems and models — bias, algorithmic risk, model-level governance | Partial — offers third-party AI risk assessments, but not built around live agent conversations | General EU AI Act / NIST AI RMF coverage; not Art. 50-specific | Compliance and technical AI risk teams |
| Credo AI | AI governance — policy, documentation, model risk workflows | No — a governance layer configured by the deploying organization | General regulatory coverage; not Art. 50-specific | Compliance / governance teams |
| Giskard | Pre-production testing and red-teaming of LLMs and ML models | No — a testing tool run by the team building the agent | Not regulation-specific — a technical vulnerability and quality scanner | Engineering / ML teams |
| Witness AI | Runtime security of AI agents and MCP servers — prompt injection, data leakage, access control | No — deployed as the organization's own security control plane | No — security-focused, not an EU AI Act transparency audit | Security / engineering teams |
| Centraleyes | AI-powered GRC — risk register, framework compliance, third-party AI vendor risk scoring | No — an internal compliance management platform | General AI governance frameworks; not Art. 50-specific | Compliance / GRC teams |
| MintMCP | Governance and observability for AI agents and MCP servers — audit trails, guardrails, access control | No — an internal control plane deployed by the organization's own security team | No — infrastructure security and observability, not a regulatory transparency audit | Security / engineering teams |
Two other names sometimes surface in AI search results for this query — Layer3Labs and aiagentscompliance.com — but neither is a comparable product today: Layer3Labs is an AI implementation consultancy that recommends third-party GRC software rather than auditing agents itself, and aiagentscompliance.com's domain has expired. We checked before writing this table, not after.
COMPLIANCE PACKS BY SECTOR
Sector packs: the same audit, mapped to your regulator
These are a commercial packaging of the Regulatory Trust pillar of the Trust Score — same methodology, mapped to the rules that apply to you. Not a new scoring category.
01
Banking
KYC sequencing, payment authentication, and credit-decision drift — audited end to end.
02
Insurance
Product recommendation, claims denial, and life/health risk scoring — the one vertical the EU AI Act names explicitly.
03
Travel
Cancellation compensation, package-travel refunds, and reduced-mobility assistance — plus the liability precedent every airline chatbot now has to reckon with.
04
Health
The vertical with the strictest legal basis of the five — special-category health data, and the first literal example of High-Risk the EU AI Act itself names.
05
Collections
Debt collection sits under some of the most specific consumer-protection statutes of any vertical — contact windows, required disclosures, and a criminal threshold for harassment.
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
Inside Lexic Compass
One platform, every agent, every audit
This is the actual product view your compliance team opens every morning — not a slide.
| Agent | Channel | Trust Score | Verdict |
|---|---|---|---|
| WhatsApp Support Agent | 91 | Cleared | |
| Voice IVR — Claims | Voice | 58 | Not Cleared |
| Web Chat — Onboarding | Web | 84 | Cleared with Conditions |
| Email Triage Agent | 96 | Cleared |
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.
DEPLOYMENT MODEL
Audit your AI agents from our cloud, or from inside yours.
The Trust Score audit runs the same way either way — the same 4-Pillar methodology, the same signed verdict. What changes is where the engine sits, and whether any conversation data ever has to leave your infrastructure.
Managed multi-tenant infrastructure, isolated per customer
Flash Preview results in 72 hours — nothing to deploy on your side.
Hosted on Lexic's EU infrastructure (GCP, eu-west-1) — data never leaves the EEA.
Independent audit stays independent: Lexic runs and hosts the engine.
Project-based pricing across Flash Preview, Audit Sprint and Continuous Trust.
At a glance
| Cloud SaaS | On-Prem · BYOC | |
|---|---|---|
| Data residency | EU (GCP eu-west-1), multi-tenant | Your own Azure tenant |
| Audit independence | Lexic-hosted, always independent | Lexic-run inside your environment, still independent |
| Time to first result | 72h Flash Preview | Scoped onboarding, same audit methodology |
| Pricing model | Flash Preview / Audit Sprint / Continuous Trust | Platform license + managed services |
| Best for | Fast compliance diagnostics | Banking, insurance, energy & other regulated sectors |
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.
Frequently asked questions
AI agent auditing and monitoring: what buyers actually ask
The literal questions we get from compliance, technology and operations leaders when they look for software to audit and monitor AI agents in production.
What AI agent monitoring software do you recommend for compliance?
What is the best tool to audit AI agents in banking and insurance?
Which platform centralizes AI agent security, compliance and quality?
What solution do compliance directors use to oversee AI agents?
What software lets you audit AI agent traceability and decisions?
What tools monitor AI agent risk in real time?
Which platform helps with enterprise AI agent governance and control?
What software options exist to audit AI agent regulatory compliance?
Which AI agent monitoring solution do large enterprises compare?
How do you choose continuous audit software for enterprise AI agents?
Governance, compliance and assurance — explained
What are your AI agents doing right now?
We'll tell you in 72 hours. No cost. No commitment.
Living trust, not a one-off report: the Trust Score keeps updating with every new conversation.
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