Productized engagement

Your AI pilot works in demos. This sprint makes it production-safe.

Eval datasets built from real user questions and failure cases. A regression harness wired into your deployment pipeline. Guardrails — prompt-injection defenses, output validation, PII redaction. A human-in-the-loop framework for high-risk actions. And a governance pack your risk team can actually sign.

3–4 weeks fixed scope, agreed up front
Remote, pilot + pipeline access delivery format
Governance pack your risk team can sign what you leave with

The engagement

Evals & AI Governance Sprint, in detail

01

Who it is for

Teams with an AI pilot or assistant — internal Q&A, support copilot, agentic workflow — that works in demos but has no eval suite, no guardrails, and no governance sign-off standing between it and production.

02

The problem it solves

Synthetic evals don't reflect real users. Guardrails get bolted on after the incident. Risk and compliance teams block deployment because nobody can show them what the system is allowed to do, how it is tested, or what happens when it fails. The sprint closes that gap with evidence, not slides.

03

What's included

  • Eval dataset built from the client's real questions and failure cases
  • Regression harness wired into the deployment pipeline
  • Guardrails: prompt-injection defenses, output validation, PII redaction
  • Human-in-the-loop decision framework implemented for high-risk actions
  • Access-control and data-boundary verification for the AI layer
  • Governance pack: model registry, change log, incident runbook, sign-off checklist for risk/compliance stakeholders
04

Deliverables

  • Eval dataset and regression harness, running in your pipeline
  • Guardrails and human-in-the-loop framework, implemented and documented
  • Access-control and data-boundary verification report
  • Governance pack: model registry, change log, incident runbook, sign-off checklist
  • Read-out session with your team and risk/compliance stakeholders
05

Typical duration

Three to four weeks, remote, fixed scope. Pilot and pipeline access in the first days; evals, guardrails, and the governance pack land over the sprint with a joint read-out at the end. Explicitly not included: rebuilding the underlying agent or RAG pipeline (that is a separate build), ongoing eval maintenance, or legal/compliance certification.

06

What happens afterward

Governed pilots grow into the Agent Deployment Accelerator when they are ready to scale, a Production Support Retainer for the AI system, or an annual evals refresh engagement. This is also the engagement your risk team is most likely to mandate — sell to risk, deliver to engineering.

07

Start free, then go deep

Our Agentic AI Readiness self-assessment is a free self-assessment you can finish in minutes. This engagement is the next level: we work inside your environment and leave you with evals, guardrails, and governance your team can defend.

Start here

Ship it without the scare.

Thirty minutes with an architect to scope the sprint. Your risk team will thank you — probably before you finish.