SAN FRANCISCO, CA — July 2026 — Okareo, the AI agent testing platform trusted by teams at Fortune 50 enterprises, today announced the REPS AI Agent Scoring Framework — a rigorous, benchmark-backed methodology that gives engineering and product teams a unified, production-grade standard for evaluating the quality, reliability, and safety of AI agents before they reach customers.

REPS — which stands for Reasoning, Execution, Performance, and Security — evaluates agents across 29 weighted sub-dimensions drawn from leading benchmarks including NIST AI 600-1, OWASP LLM Top 10 (2025), AgentBench, SWE-bench, RAGAs, and the MIT AI Agent Index. The framework spans multiple modalities including interactions in text, voice and headless — making it the most complete evaluation standard available for modern multi-modal agentic systems.

THE TESTING CRISIS HIDING IN PLAIN SIGHT

The AI agent market is moving fast — and testing is not keeping up. As enterprises race to deploy autonomous agents that handle customer service, financial decisions, medical triage, legal research, and complex multi-step workflows, the vast majority of teams are relying on methods that were never designed for agentic AI.

Traditional LLM evaluation suites were built for single-turn question-and-answer models: does this response match a reference answer? That metric is almost entirely irrelevant to a multi-step agent that must call the right tools in the right order, maintain context across dozens of turns, coordinate with other agents, resist adversarial manipulation, and operate within strict compliance and privacy boundaries — all at production scale.

< 10%

of agent failure modes are covered by conventional single-turn eval suites

60–80%

of AI agent teams rely primarily on manual testing or ad hoc scripts before production deployment

29

weighted sub-dimensions evaluated across the four REPS pillars — against published 2025–2026 benchmarks

Manual testing is not just slow — it is structurally incapable of finding the edge cases that matter. Human testers know how the agent is supposed to work, which means they naturally gravitate toward the happy path. Synthetic users do not have that bias. They push, probe, go off-script, try adversarial inputs, and surface the failures that only emerge in the tail of real user behavior.

“The teams shipping production agents right now are making a calculated bet that their manual tests caught enough. REPS exists to make that bet visible — to replace "we think it works" with a scored, reproducible, benchmark-backed answer.”

— Okareo Team

THE REPS FRAMEWORK: WHAT IT MEASURES

REPS evaluates four critical pillars, each with weighted sub-dimensions tied to published benchmarks:

R — Reasoning: How soundly the agent understands tasks, constructs logical plans, adheres to those plans, and makes accurate decisions across multi-step and branching scenarios. Covers Chain-of-Thought Coherence, Planning Quality, Faithfulness & Grounding, Adaptive Error Recovery, Instruction Adherence, Causal Reasoning, and Memory Utilization.

E — Execution: How reliably the agent calls the right tools with the right inputs, coordinates with other agents, and completes multi-step workflows without errors or unnecessary steps. Covers Task Completion Rate, Tool Selection & Invocation, Multi-Step Trajectory Fidelity, Context Retention, Multi-Agent Coordination, User Experience, and Autonomy Calibration.

P — Performance: How well the agent scales, manages latency, controls costs, and handles enterprise-level workloads. Covers Latency Profile, Token & Resource Efficiency, Cost per Task, Throughput & Scalability, Behavioral Consistency, Reliability & Error Rate, and Observability.

S — Security: How well the agent withstands penetration testing, protects PII, enforces compliance requirements, and guards against vulnerabilities, misuse, and data exposure. Covers Hallucination Rate, Prompt Injection & Jailbreak Resistance, Bias Fairness & Toxicity, Excessive Agency & Policy Compliance, PII Privacy, Robustness, Supply Chain Integrity, and Governance & Audit — including all OWASP LLM Top 10 2025 attack vectors.

Each sub-dimension is weighted by production impact and scored against benchmarks from NIST AI 600-1, OWASP LLM Top 10 (2025 and Agentic AI 2026), AgentBench, SWE-bench, RAGAs, FaithCoT-Bench, T-Eval, tau-Bench, TruthfulQA, METR, ARC-AGI-3, and the MIT 2025 AI Agent Index, among others.

WHY REPS — AND WHY NOW

Okareo built REPS to solve three compounding problems facing every team shipping AI agents today:

•  Production incidents are expensive and preventable. A single agent failure that reaches users — a hallucinated policy answer, a wrong tool call that triggers an irreversible action, a jailbreak that leaks customer data — can cost hundreds of thousands of dollars in remediation, regulatory exposure, and brand damage. REPS is designed to catch these failures in pre-production, where fixes cost minutes, not months.

•  Manual testing has hit a wall. As agents grow more complex — orchestrating multiple sub-agents, calling dozens of tools, operating across voice and text simultaneously — the surface area for failure expands exponentially. Human testers cannot keep up. REPS replaces ad hoc test scripts with a systematic, reproducible scoring standard that runs automatically on every build.

•  Traditional evals are single-turn artifacts. The evaluation methods most teams use today — accuracy on a held-out test set, G-Eval scores, LLM-as-judge — were designed for language models, not agents. They measure whether a model answers correctly. They do not measure whether an agent plans correctly, executes reliably, recovers from failure, scales under load, or resists adversarial manipulation. REPS does all of that.

•  Compliance and security require a framework, not a checklist. OWASP's LLM Top 10 has been updated for 2025 with agent-specific risks. NIST AI 600-1 and the EU AI Act require documented evaluation for high-risk AI systems. REPS maps directly to these standards, giving security and legal teams the documentation they need.

“Every agent team we talk to says the same thing: we know our evals are not good enough, but we don't know what good enough looks like. REPS answers that question. It gives teams a shared language, a reproducible score, and a benchmark-backed standard they can actually defend to their CTO, their security team, and their board.”

— Matt Wyman, CEO/ Founder, Okareo

THE REPS REPORT: FROM CONNECTION TO INSIGHT IN MINUTES

The REPS AI Agent Report is delivered through Okareo's testing platform. Teams connect their agent in minutes using any of four supported connection methods, and Okareo's synthetic users immediately begin multi-turn evaluation sessions across every connected modality.

Four Ways to Connect Your Agent

①  Endpoint  —  For agents with a webhook or API interface (e.g., HTTP-based conversational agents). The simplest path for most modern text and multimodal agents.

②  Phone Number  —  The simplest case for voice agents; just provide the number the agent answers on and Okareo dials in directly. No integration code required.

③  SIP Credentials  —  For agents hosted on VoIP infrastructure (SIP trunk, softswitch, etc.). Okareo connects directly into enterprise telephony environments without requiring a PSTN hop.

④  Twilio/ Telnyx Keys  —  For agents built and deployed on Twilio or Telnyx’s platform. Okareo connects directly into those environments using provided credentials, with no additional infrastructure changes.

Regardless of connection method, setup takes under 10 minutes. Once connected, Okareo's synthetic users run multi-turn sessions automatically. The resulting REPS report delivers:

• A composite REPS score with per-pillar breakdowns and weighted sub-dimension scores

• Conversation transcripts for every synthetic user session, annotated with failure markers

• Ranked failure clusters showing which edge cases are most likely to affect real users

• Benchmark comparisons against published industry standards

• CI/CD-ready eval gates that block deployment when scores fall below defined thresholds

• A production feedback loop that converts real agent failures into future regression test cases

Light REPS reports — scoped to the highest-impact sub-dimensions — can be generated in under 10 minutes, making them practical for trade show demos, pre-launch reviews, and rapid iteration cycles. Full REPS audits run overnight and cover all 29 sub-dimensions with extended synthetic user sessions.

FREE REPS REPORT AT AI4 — BOOTH K614

Okareo is offering free AI agent testing and a complimentary REPS Report to every team that stops by booth K614 at Ai4.

Connect your agent at the booth — via endpoint, phone number, SIP credentials, or Twilio keys — and walk away with a real REPS Report showing exactly where your agent passes, where it fails, and what to fix. No sales pitch. No commitment. Just your score.

📍  Ai4 Conference  ·  Booth K614  ·  Las Vegas, NV

AVAILABILITY

The REPS AI Agent Scoring Framework is available now through the Okareo platform. Enterprise pricing for full REPS audits and continuous CI/CD integration is available upon request.

Okareo supports voice and text agents across 30+ languages, with evaluation support for 9 modalities and integrations with major agent frameworks, LLM providers, and CI/CD pipelines.