(ThorstenMeyerAI.com ‑ June 25 2025)
1 | Why “Eval‑First” Has Become Non‑Negotiable
- Adoption is exploding. Deloitte forecasts that one‑quarter of enterprises already using GenAI will pilot autonomous agents in 2025, rising to one‑half by 2027 .
- Risk scales with autonomy. Agent decisions can approve credits, route shipments or file taxes; a single hallucinated action is now a compliance incident, not a typo.
- Thought‑leaders are blunt. Andrew Ng’s April 2025 letter urges teams to “iterate on evals as aggressively as on models” . The new discipline is Agent Evaluation Engineering.
2 | The Regulatory Clock Is Ticking
Date | Obligation under the EU AI Act | Impact on Agent Deployers |
2 Feb 2025 | Prohibitions on “unacceptable‑risk” AI & AI‑literacy duties kick in | Audit logs + transparency statements needed today |
1 Aug 2025 | Governance rules for General‑Purpose AI models apply | Agents built on GPT‑class models must supply model & data provenance |
1 Aug 2027 | High‑risk AI systems reach full compliance deadline | Vertical agents in finance, HR or health become audited like medical devices |
HiddenLayer notes that traditional model cards are insufficient; you must expose tool‑calling logic and agent‑to‑agent communication flows .
3 | The Modern Evaluation Stack
Tool | Licence | Sweet Spot | Differentiator |
LangSmith | SaaS / free tier | Unit‑ & regression‑tests for LangChain, LangGraph agents | Integrated tracing + LLM‑as‑Judge evaluators |
TruLens | Apache 2.0 | Open‑source pipeline for RAG & agents | OpenTelemetry‑based tracing; “RAG Triad” metrics |
LangWatch | Commercial | Production monitoring & alerts | Real‑time degradation alarms, team dashboards |
DeepEval | MIT | Rapid prototyping | 14+ canned metrics, one‑liner API |
Metric taxonomy (start with four): Task completion, Reasoning quality, Tool‑use correctness, Latency / cost efficiency.
4 | Case Insight – KPMG Workbench
KPMG’s new Workbench platform already fields ≈ 50 cooperating agents and nearly 1 000 more in the pipeline across tax, audit and advisory services . Executives highlight two hard lessons:
- Eval gates on every PR catch regressions before release.
- “Agent passports”—identity‑scoped API keys with a kill‑switch—contain blast‑radius when tools mis‑fire.
5 | Five‑Step Eval‑First Pipeline
- Map the Critical Path – document the exact user outcome (e.g., “issue refund ≤ 2 min, 0 errors”).
- Draft a Minimal Eval Set – one “happy‑path”, one “edge‑path”. Automate scoring with LLM‑judge.
- Instrument & Trace – use LangSmith or TruLens to capture every tool call and intermediate thought.
- Gate by Metric Targets – deploy only when automated evals hit your SLA.
- Monitor & Alert – stream live outputs to LangWatch (or similar) with rollback on threshold breach.
6 | Governance Architecture Checklist
Layer | Control | Why it Matters |
Identity & Access | Dedicated credentials per agent; least privilege | Contain damage; prove traceability |
Policy Router | Route “risky” tasks to safer models / human review | Reduce exposure to banned practices |
Red‑Teaming | Synthetic adversarial prompts every sprint | Surface novel failure modes early |
Audit Vault | Immutable store for prompts, outputs, tool logs | Satisfy EU AI Act Article 11 tech‑docs |
Kill‑Switch | One‑click disable via feature flag | Hard stop on cascading errors |
7 | 30‑Day Implementation Sprint
Week | Deliverable | Success Gate |
1 | Baseline dataset (≤ 100 real tasks) + 2 evals | Metrics run headless in CI |
2 | Tracing + identity isolation in staging | 100 % tool calls logged |
3 | Pilot with 10 % traffic shadow mode | No P0 errors, SLA met |
4 | Risk review & go‑live | Compliance sign‑off + rollback plan |
8 | Looking Ahead
- Self‑Evaluating Agents: debate/consensus patterns cut eval overhead.
- Synthetic Test Generation: frameworks like Agno auto‑mint novel edge‑cases .
- Agentic SOC2: auditors begin asking for “LLM trace evidence” as part of annual attestations.
9 | Key Takeaways
- Autonomy without evals is liability.
- Regulation rewards documentation. Start the audit vault on day one.
- Small, evolving eval suites beat Big‑Bang QA.
Action: Stand up a two‑person “eval & observability” pod next sprint. Schedule your first red‑team attack the week after you ship.
— Thorsten Meyer