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Evaluation strategy & frameworks

An evaluation strategy is the written system that turns opaque GenAI behaviour into a decision: ship, hold, investigate, or roll back. It starts from failure modes and the decision you must own — not from the metrics a tool happens to expose.

For teams with at least one LLM, RAG, or agent system in or near production, in settings where a fluent error is expensive — financial services, insurance, healthcare, legal, or any organisation whose risk committee will ask for evidence.

01

Start from the failure, not the score

Public leaderboards do not predict your distribution. A model that looks calm on a general benchmark can still invent a citation, skip a policy, or take the wrong tool on the one case that matters. Strategy work begins with the failures that would actually hurt: product, engineering, risk, and domain SMEs in the same room, naming what must never ship.

From that list we write a task taxonomy and slices — happy path, edge, adversarial, demographic — so the later dataset and harness have somewhere to live. A score without a slice is a number you cannot act on.

Ownership is named in the same pass. If no one owns the rubric when the model card changes, the strategy was a workshop, not a system. The memo says who may move a threshold, and who must be in the room when they do.

02

Rubrics and the release gate

The rubric is the judgment, written down. Pointwise or pairwise, pass/fail or graded, single-turn or trajectory: the form follows the failure. Each dimension has a definition, a method, and a threshold. Faithfulness is not groundedness. Calibration is not confidence. Operational risk is not a style score.

The release policy is the line. What is good enough to ship, what is a hold, what is a rollback. Decision thresholds — the name the site used first — live here: a go-live memo the organisation can keep after we leave.

A threshold workshop is this work in two days: the line written, the dimensions agreed, the first cases named. A full strategy engagement is the same line, then the taxonomy and the mapping that let a harness enforce it.

03

Mapped to regulation and the business

Where the system is high-stakes, metrics map to internal policy, model-risk language, and — where it applies — obligations such as the EU AI Act. The mapping is explicit. A dashboard that cannot be read by legal is not a governance artifact.

We do not issue certificates. We produce the evaluation design and the first evidence pack so your risk function has something other than a vendor narrative. What they then file is theirs.

04

What the strategy contains

Typical artifacts. Scope follows the use case, not a template dump.

Failure-mode map

Which errors are in scope, and who owns them

Task taxonomy & slices

What is tested, including the rare path

Rubric specification

Dimensions, methods, and agreement rules

Release policy

Ship, hold, investigate, rollback

Metric-to-risk map

How a score becomes a committee sentence

05

Engagement

Typical shape: Discovery / Audit Sprint, or Framework Design + Pilot, typically 2–4 weeks for a sprint; 6–10 weeks for a first framework. Duration is typical, not contractual. Formats and deliverables are written on the evaluation ledger.

06

Questions

Is this a platform?
No. Seuil is an independent consultancy. We design the framework, the gates, and the artifacts your team can run. We do not sell a model or an evaluation product.
How is this different from buying an eval tool?
Tools score. They do not decide what “good enough to ship” means for your risk appetite, or who owns the rubric when the model changes. Strategy is that decision, written so it survives the next vendor.
Do you set thresholds without our data?
No. Thresholds are hypotheses until they meet your distribution. The sprint produces a first ledger and a memo; calibration continues as the golden set and harness come up.

Get Started

When a model is ready is not a feeling.

Write with a system in mind. We will tell you whether it can be evaluated, and what the first ledger would contain.

Request an evaluation