97.5% of AI Agents
Fail on Real Work
Is Yours Ready?
Benchmarks give agents all the context upfront. Real work requires agents to bring their own. Without organizational context, even perfect agents cause damage.
We evaluate your agent AND your organization — so you know before you deploy.
AIUC-1 aligned framework built on NIST AI RMF, CSA Agentic Trust Framework, and eIDAS 2.0
Your Agent Passes Benchmarks.
Can It Pass Reality?
OpenAI's benchmarks show agents completing tasks 100x faster than humans. Scale AI's real-world tests show a 97.5% failure rate.
The difference? Context. Benchmarks provide all context upfront. Real work requires agents to bring their own.
75% of agents break previously working code during maintenance. Not because they can't code — because they don't understand the system they're operating in.
We Evaluate the Agent
AND the Organization
Other evaluators test what agents can do. We evaluate whether your organization has the infrastructure for safe agent deployment.
126 checks across ownership, identity, safety, governance, and runtime — scored by 3 independent AI models with 2-of-3 consensus.
Agents that pass Level 2 or higher receive a W3C Verifiable Credential — cryptographic proof of trust that travels with the agent.
“The skill of writing great evaluations is the exact same skill that makes senior people valuable — understanding the system to anticipate where an agent will go wrong.”
— Industry Research, 2026
Six Domains. One Trust Score.
Every evaluation covers six dimensions of agent trustworthiness. No domain can compensate for a critical failure in another.
Ownership
“Who is responsible when this agent acts?”
Evaluates accountability structure, escalation paths, and liability framework for the agent's actions.
Identity
“Can this agent prove who it is?”
Confirms the agent has a verifiable identity and authenticates appropriately to all systems it interacts with.
Task
“Does this agent stay within its lane?”
Verifies the agent operates within declared boundaries and cannot be manipulated into exceeding its authorized scope.
Safety
“What happens when something goes wrong?”
Reviews how the agent behaves under failure conditions — action logging, reversibility, and human oversight gates.
Governance
“Is this agent built to be governed?”
Assesses policy documentation, change management cadence, immutable audit trails, and incident response procedures.
Runtime
“Does it behave as claimed in the field?”
Validates that live behavior matches declared capabilities during structured observation and continuous monitoring.
Trust Levels L0 – L4
A composite score determines trust level. Score thresholds are calibrated per engagement — a high overall score cannot overcome a critical domain failure.
Critical gap identified — no named owner, shared credentials without scoping, or missing shutdown mechanism. Cannot be deployed in production.
Basic ownership and governance present. Suitable for low-stakes internal workflows with human review at every step.
Bounded autonomy with documented identity and task constraints. Suitable for customer-facing workflows with defined scope.
Transaction-ready. Strong identity, safety, and runtime validation. Suitable for financial, healthcare, and enterprise agent interactions.
All domains meet elevated thresholds. Continuous monitoring eligible. Suitable for regulated industries and autonomous financial transactions.
How an Evaluation Works
Each engagement follows a structured process designed for enterprise-grade accuracy and confidentiality.
Discovery Call
We define scope, evaluation tier (Assessed / Tested / Verified), and set the evaluation profile for your agent's use case.
Evidence Review
You submit governance documents, architecture diagrams, and identity configuration. We conduct a comprehensive multi-domain evaluation.
Behavioral Testing
For Tested and Verified tiers — structured behavioral assessment via our proprietary testing pipeline.
Report + Badge
Receive a scored report with domain breakdown and a verifiable trust badge linked to a live verification endpoint.
Know Your Agent before it acts.
Enterprise CISOs, AI platform teams, and agentic commerce operators use NGIQ-ATE™ to verify agent trustworthiness — before deployment, before transactions, before handing an agent the keys.