Before you scale anything, find out what's actually true about how your team delivers today. Mission's two-week Team Readiness Assessment scores five dimensions of AI-DLC readiness on observed evidence — not stated intent — so you get a defensible answer to “what did we get for our AI investment,” and a prioritized roadmap for what to do next.
It's the lowest-risk way to find out whether a single team can execute an AI-native lifecycle today. Mission examines real artifacts, workflows, controls and tooling practices — not surveys or self-reporting. Eligible customers can access the assessment through AWS partner funding.
AI
AI-DLC SERVICES
AI-DLC Team Readiness Assessment
Start with one team. Find the constraint. Build an actionable path.
OVERVIEW
What Did You Get for Your AI Investment?
Evidence, not surveys. Roadmaps, not guesses.
WHAT WE DO
Five Dimensions of AI-DLC Readiness
Engineering Workflow
We find where work actually waits, where defects and rework originate, and which repeatable activities are ready for AI assistance now.
Spec-Driven Development
We assess whether your requirements, user stories, acceptance criteria and architecture guidance are precise enough for an agent — or a person — to act on.
AI-DLC Process Readiness
We evaluate your current AI-assisted practices, lifecycle alignment, collaboration patterns and pilot readiness.
Guardrails & Verifications
We define the minimum controls your team needs for quality, security, traceability, human accountability and approvals.
AI Tooling & Efficiency
We review how your tools are actually used — prompts, context practices, workflow integration and output quality.
HOW IT WORKS
Two Weeks From Baseline to Roadmap
- Discover: We review your current workflow, artifacts, practices and evidence.
- Assess: We evaluate all five readiness dimensions and identify the limiting constraint.
- Prioritize: We translate findings into gaps, quick wins, guardrails and candidate units of work.
- Plan: We deliver a 30/90/180-day roadmap and walk your team through the findings.
WHAT YOU GET
A Defensible Baseline and a Clear Next Step
Readiness Scorecard
A team-level score across all five AI-DLC readiness dimensions, based on observed evidence.
Bottleneck & Opportunity Analysis
Where work waits, where rework originates, and which activities are ready for AI assistance now.
Specification Readiness
Findings on whether your requirements, acceptance criteria and architecture guidance are precise enough to act on.
Human & AI Operating Guidance
The minimum controls your team needs for quality, security, traceability, human accountability and approvals.
Tooling & Efficiency Recommendations
Recommendations based on how your tools, prompts and context practices are actually used.
30/90/180-Day Roadmap
A sequenced plan — quick wins first, a contained pilot next, expansion only where the evidence supports it.
A CLEAR EXPANSION PATH
Start With One Team Scale on Evidence.
- We use your team's findings to decide what should stay team-specific and what's worth standardizing.
- The evidence can extend into a multi-team or program-level assessment whenever you're ready.
- Validated patterns from your assessment can inform your broader AI-DLC strategy.
GET IN TOUCH
Can Your Team Execute an AI-Native Lifecycle? Find out now.
Start your two-week AI-DLC Team Readiness Assessment — AWS-funded for eligible customers. Talk to your Mission Cloud Account Executive or email info@missioncloud.com.