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Mission AI-DLC

Rebuild your software lifecycle around AI one team at a time.
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OVERVIEW

AI Sped Up Coding. Delivery Didn't Follow.

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Almost every engineering organization has bought AI coding tools. Very few can say what they got for them. Coding got faster — but planning, review, verification and operations didn't come along for the ride. 

Mission AI-DLC is a staged path from executive alignment to a governed, AI-native delivery capability. We start by assessing whether a team can actually execute the method today, teach it hands-on against real work, take one contained piece of work to production alongside the team, and stay onboard to keep your practice current.

AI executes. People decide what ships.

BUILDING BLOCKS

Three components every AI-DLC transformation needs

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Advisory
A staged path that assesses, trains and deploys one team at a time, moving it from AI-assisted to AI-driven delivery.
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Harness
Balrog: one portable set of agents, skills and MCP servers that runs the AI-DLC method the same way on every system.
Tools
Compute
Ragnarok on AWS, Galactus on hybrid infrastructure: the same harness on cloud, neocloud or local models.
THE AI-DLC JOURNEY

A Staged Path to AI-Native Delivery

Start where your team is today. Every stage builds on evidence from the one before it. 

Executive Overview: One hour, no cost. Develop a shared understanding amongst leadership of why AI tools haven’t moved the business, and what would.

Primer: A 2.5–3 hour hands-on introduction pairs AI-DLC foundations with a guided exercise to create a simple web application. 

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Team Readiness Assessment: Two weeks, one team. Leave with a readiness scorecard across five dimensions, a bottleneck analysis, and a 30/90/180-day roadmap.

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Workshop: Two days plus a hands-on platform session. Your trained cross-functional team runs the full method on real work and ships a real pull request.

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Path to Production (Deploy): Six to eight weeks. Install, configure, and validate a working AI-DLC stack in your AWS environment, with your team enabled to run it.

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Enablement & Maintenance (Maintain): Ongoing. Get updates, drift reconciliation, cost governance and expert office hours that keep your practice current.

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Executive Overview

Executive Overview: One hour, no cost. Develop a shared understanding amongst leadership of why AI tools haven’t moved the business, and what would.

Primer

Primer: A 2.5–3 hour hands-on introduction pairs AI-DLC foundations with a guided exercise to create a simple web application. 

Learn more
Readiness Assessment

Team Readiness Assessment: Two weeks, one team. Leave with a readiness scorecard across five dimensions, a bottleneck analysis, and a 30/90/180-day roadmap.

Learn more
Workshop

Workshop: Two days plus a hands-on platform session. Your trained cross-functional team runs the full method on real work and ships a real pull request.

Learn more
Deploy

Path to Production (Deploy): Six to eight weeks. Install, configure, and validate a working AI-DLC stack in your AWS environment, with your team enabled to run it.

Learn more
Maintain

Enablement & Maintenance (Maintain): Ongoing. Get updates, drift reconciliation, cost governance and expert office hours that keep your practice current.

Learn more
WHY MISSION CLOUD

A Partner for Every Stage of the Practice

Standarize
We maintain the reusable specifications, guardrails and reference patterns, so every team starts from a proven baseline, not a blank page. 
Enable
Coaching, communities of practice, office hours and champions keep your teams supported as they build real capability.
Operate
Platform guidance, tool updates, adoption reviews and issue escalation keep the practice running smoothly day to day.
Optimize
We continuously review tool usage, prompt and context practices, and token spend so efficiency keeps pace with adoption.
Expand
New teams and use cases are prioritized on evidence and readiness — never on faith.
Govern
Human decision rights, continuous verification, and traceability are reinforced at every stage, not assumed.
WHAT YOU CAN EXPECT

Delivery That’s Governed by Design

Bounded AI Execution
AI execution stays bounded by approved outcomes, workflows, and risk controls.
Delivery Built on Specifications
Specifications, acceptance criteria, context and traceability become part of the delivery system itself — not an afterthought.
Visible Quality Checks
Quality, security and correctness checks stay visible throughout execution, not just at the end.
GET IN TOUCH

Ready to Move From AI Assistance to Real Delivery Capability?

Talk to your Mission Cloud Account Executive or email info@missioncloud.com to book your free AI-DLC Executive Overview.

Book Your Executive Overview