nnterprise.ai
Accelerators

Outcome pod

AI Eval & Safety

A 5-day engagement that builds an evaluation harness, runs a safety audit, and gives you a clear picture of where your AI system fails before your users find out.

Duration
5 days
Pod
1 senior expert + orchestrated agents
Price guide
$9,000–$12,000
Billing
upfront 50 50
ai-safetyevaluationquality

What you get

  • Evaluation dataset of 50–100 labelled examples covering your key use cases
  • Automated evaluation harness running in your CI/CD pipeline
  • Safety audit covering the top failure modes for your application type
  • Baseline quality score and regression threshold documented
  • Runbook for maintaining and extending the evaluation suite

How it runs

  1. 01Day 1: use-case analysis and evaluation design
  2. 02Day 2: dataset creation and labelling
  3. 03Day 3: harness implementation and CI integration
  4. 04Day 4: safety audit — adversarial and edge-case testing
  5. 05Day 5: baseline scoring, threshold setting, and handover

Outcomes

  • Evaluation harness running in CI with a clear pass/fail threshold
  • Safety audit report with specific failure modes documented
  • Team confident to change prompts or models without silent regressions

How it works

## What is it?

You have an AI feature in production. You do not have a systematic way to know when it gets worse. A prompt change, a model upgrade, or a new edge case in your data can degrade quality silently. You find out from a user complaint, not a dashboard.

AI Eval & Safety builds the infrastructure to change that. We design an evaluation dataset against your actual use cases, build an automated harness that runs on every deploy, and run a targeted safety audit to surface the failure modes that matter for your specific application.

You leave with a system that tells you when your AI gets worse, before your users do.

Related accelerators

Often paired with this engagement.

Outcome pod

AI Feature Build

A 5–10 day build of a production-ready AI feature inside your existing product — from spec to shipped, with tests and observability included.

Outcome pod

MCP Integration

A 5-day build that connects your internal data and tooling to Claude via the Model Context Protocol, giving your team AI that knows your stack.

Begin

Start the engagement. Or ask a question first.

Selecting Start creates a pre-scoped project with the plan and deliverables already populated. Your expert reviews and personalises it with you in the first session. No commitment until you sign.

Start AI Eval & Safety