Derisk360
Guide

Pilot to Production Playbook

The pilot-to-production playbook: stop funding generic POCs, embed FDEs, unify context, evaluate before go-live, deploy in your VPC, and operate with 24/7 accountability — typical governed go-live under 12 weeks.

The pilot-to-production playbook: stop funding generic POCs, embed FDEs, unify context, evaluate before go-live, deploy in your VPC, and operate with 24/7 accountability — typical governed go-live under 12 weeks.

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OVERVIEW[ 01 / 04 ]

Overview

A playbook for crossing the chasm from AI proof-of-concept to production go-live in regulated enterprises.

A playbook for crossing the chasm from AI proof-of-concept to production go-live in regulated enterprises.

Pilot to Production Playbook is written for AI programme owners, technology leaders, and operations executives in regulated enterprises. Most organisations fail not because models are inadequate — but because context, governance, evaluation, and operational ownership are missing when pilots attempt to reach production.

Derisk360 practitioners embed Forward Deployed Engineers inside your business and run structured accelerators — from discovery through governed go-live in your VPC. This guide reflects that delivery model: practical steps you can execute with embedded teams, not abstract best practices that stall at proof-of-concept.

Key takeaways

Practical steps for regulated enterprise environments

Designed for production go-live — not endless pilots

Aligns with Derisk360 accelerator delivery model

Typical governed production in under 12 weeks

PREREQUISITES[ 02 / 04 ]

Before you start

Align business, risk, and technology stakeholders on the highest-value use case — not the most fashionable one. Confirm data access, regulatory constraints, and who owns production operations after go-live.

If you lack unified context infrastructure, plan context engineering as the first accelerator phase. Agents built on demo datasets will fail model risk review.

DERISK360[ 03 / 04 ]

How Derisk360 applies this guide

We implement every guide through outcome-based services — embedded FDEs, FDEE-led evaluation, and 24/7 managed operations. Book a discovery call to map your use case and scope an accelerator tailored to your industry.

STEPS[ 04 / 04 ]

Step-by-step implementation.

  1. 1

    Scope the highest-value use case

    Embed Forward Deployed Engineers inside your business to discover where AI delivers measurable value — with deployment risk assessed upfront.

  2. 2

    Unify governed context

    Connect source systems through MCP and knowledge graphs. Map fields, lineage, and access controls before configuring agents.

  3. 3

    Build and evaluate agents

    Configure governed multi-agent workflows. Run FDEE-led eval harnesses and red teams against your policies before go-live.

  4. 4

    Deploy in your private cloud

    Go live in your VPC with audit trails, policy engines, and human-in-the-loop for high-stakes actions.

  5. 5

    Operate with continuous oversight

    FDEEs monitor quality, cost, and compliance 24/7 — tuning prompts, policies, and models when production behaviour drifts.

  6. 6

    Transfer capability to your team

    FDEs embed operational knowledge during delivery so your organisation sustains production AI after the accelerator completes.

HOW WE DELIVER[ 05 / 04 ]

Four phases to production go-live.

01 / PLUG IN

Embed & discover

FDEs embed inside your business, learn the domain, and scope the highest-value use case for this accelerator.

02 / INGEST

Unify context

Connect source systems into a governed context layer — MCP, knowledge graphs, and field mapping in your environment.

03 / BUILD

Configure & evaluate

Build governed agent workflows, run eval harnesses, and tune against your policies before go-live.

04 / RUN

Deploy & monitor

Go live securely in your cloud with FDEE-led monitoring, continuous evaluation, and proactive tuning.

Related resources

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Book a discovery call and we'll map your highest-value use case — and exactly how we get it into production.

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Frequently asked questions

What is pilot to production playbook?
A playbook for crossing the chasm from AI proof-of-concept to production go-live in regulated enterprises.
How long does production go-live take?
Typical accelerator engagements reach governed production go-live in under 12 weeks for priority use cases in banking and insurance.
Who should read this guide?
AI programme owners, technology leaders, and operations executives responsible for moving enterprise AI from pilot to production.
How do I engage Derisk360?
Book a discovery call at derisk360.com/book to map your use case.
Can Derisk360 implement this guide for us?
Yes. Every guide maps to accelerator delivery with embedded FDEs who implement in your environment.