Eval Pipeline Setup

Your CI/CD eval pipeline, built and handed to your team.

We design and build an automated eval pipeline on your infrastructure — wired into your deployment workflow, scoring against a quality baseline, and owned by your team from day one. You run it; we build it right.

3–5 day build engagementOne-time engagement

3–5

Day Build Engagement

CI/CD

Pipeline Integration

Yours

Infrastructure Ownership

1

Handover Session Included

Why this matters

Every team knows they should run evals on every deployment. Most don't — because building an automated eval pipeline that integrates cleanly with CI/CD, scores against meaningful baselines, and produces actionable output takes more than an afternoon. We've built dozens of them. We build yours, then hand it over.

How We Do It

A structured process, every engagement.

01

Scope and architecture design

We review your deployment workflow, tech stack, and quality requirements, then design an eval pipeline architecture that fits without adding friction.

02

Configure eval tooling

We select and configure the right eval framework for your stack — Ragas for RAG, LangSmith datasets, or custom eval scripts — against your actual use case.

03

Build CI/CD integration

Eval pipeline wired into your CI/CD workflow — GitHub Actions, GitLab CI, or your existing pipeline — so evals gate every deployment automatically.

04

Establish quality baseline and thresholds

Initial baseline run documented. Pass/fail thresholds defined and agreed with your team before handover.

05

Documentation and handover session

Full runbook delivered. One-hour handover session with your engineering team — how to add test cases, read results, and tune thresholds.

What You Get

Tangible deliverables, not slide decks.

Eval pipeline configured on your infrastructure
CI/CD integration (GitHub Actions / GitLab CI / custom)
Quality baseline with documented pass/fail thresholds
Eval suite your team can extend independently
Runbook: adding cases, reading results, tuning thresholds
One handover session with your engineering team

Who It's For

Built for teams where AI reliability is non-negotiable.

Teams with no eval automation

You run evals manually — or not at all — because setting up proper automation has kept falling down the backlog.

Teams switching models or providers

Swapping GPT-4 for Claude, or upgrading model versions — you need a repeatable eval run before and after to validate quality holds.

Engineering teams who want to own their tooling

You don't want a third-party running your evals forever. You want the pipeline built right, documented, and under your control.

Ready to get started?

Book a free 30-minute AI Reliability Assessment. We'll review your stack, identify your highest-risk failure modes, and show you exactly what to fix first.

Book a Free Scoping Call →