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Existing Project

Focus on transforming a running project with AI workflows. Gap analysis, transformation sprint, and adoption tracking to modernize your process.

AI-Ready Gap Analysis

A comprehensive audit of your current development pipeline, workflows, and codebase to evaluate AI readiness. You get a prioritized transformation roadmap with ROI projections — actionable whether you continue with us or not.

Pipeline Transformation

Restructure your build, test, and deployment pipeline to integrate AI-assisted code review, automated testing, and intelligent quality gates — without stopping current delivery.

Agent Rules Configuration

Configure AI coding agents with your project context, coding standards, architectural patterns, and domain knowledge so they work effectively with your existing codebase.

SDD Framework

Deploy our Spec-Driven Development framework — a repeatable process where every feature is specified, built, tested, and documented with AI assistance, ensuring consistent quality across the team.

Developer Training & Adoption

Hands-on training for your team on AI-assisted development workflows, prompt engineering, agent collaboration, and the SDD methodology. Your team finishes confident and productive with the new workflows.

Adoption Tracking Pod

Daily per-developer follow-up, quality metrics, and adoption tracking. Identify top adopters versus who needs extra support. Internal and anonymous cross-company benchmarking so decision-makers get statistical reports to understand the full picture.

Key Benefits

  • Transform without stopping delivery
  • Know exactly where you stand before investing
  • AI agents accelerate your existing team
  • Daily follow-up into developer adoption and performance
  • Benchmark your team internally and anonymously against other companies
  • Decision-makers get statistical reports to understand the full picture

Transform What You Have. Keep What Works.

You have a running project with a team that is already delivering. You do not need to start over — you need to modernize your process with AI workflows and make sure the transformation actually sticks. We audit your current state, execute a focused transformation sprint, and then track adoption with daily per-developer follow-up so decision-makers have the data to drive the right decisions.

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Phase 1: AI-Ready Gap Analysis (Weekly Retainer)

We audit your current development pipeline, workflows, and codebase end-to-end for AI readiness. Where are the bottlenecks? Which processes are ripe for AI automation? How well can AI agents work with your existing code? You get an AI Readiness Scorecard, a detailed pipeline and codebase assessment, and a prioritized transformation roadmap with ROI projections. This is a standalone deliverable — use it to transform with us or with anyone else.

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Phase 2: AI Transformation Sprint (Fixed Price)

Based on the gap analysis, we execute the transformation. CI/CD pipeline redesign to integrate AI-powered quality gates and automated testing. Agent rules configuration so AI coding agents understand your project context, coding standards, and architecture. SDD framework implementation — a repeatable process where every feature is specified, built, tested, and documented with AI assistance. Developer training with hands-on pair programming, prompt engineering, and adoption coaching. Duration ranges between 1 to 3 months per product unit.

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Phase 3: Adoption Tracking Pod (Monthly Retainer)

After the transformation sprint, we track adoption and measure real impact. The pod monitors feature delivery speed, software quality, and parallel throughput across your team. You get daily per-developer follow-up that shows who is adopting the new workflows effectively and who needs extra support. Internal benchmarking compares developers against each other; anonymous cross-company benchmarking compares your team against other organizations at similar stages of AI transformation. Decision-makers receive statistical reports with the full picture — not anecdotes, but data that drives staffing, training, and investment decisions.

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Your Transformation Partner

The Existing Project path is designed for teams that are already shipping software and cannot afford to stop. Every phase builds on the previous one, but each is a standalone deliverable. Start with the Gap Analysis to know where you stand. Execute the Transformation Sprint to modernize your process and train your team. Then let the Adoption Tracking Pod ensure the transformation sticks — with daily data that proves it.

Frequently Asked Questions

Do we have to stop development during the transformation?
No. The entire process is designed to run alongside your current delivery. Changes are introduced incrementally so there is always a working pipeline. Your team keeps shipping while we transform the underlying workflows.
What does the AI-Ready Gap Analysis cover?
A comprehensive evaluation of your tech stack, CI/CD pipeline, code quality, workflows, and team practices against AI-readiness benchmarks. You get an AI Readiness Scorecard, a prioritized transformation roadmap, and ROI projections. The deliverable is yours regardless of whether you continue with us.
How long does the Transformation Sprint take?
Duration ranges between 1 to 3 months per product unit. The sprint covers CI/CD pipeline redesign, agent rules configuration, SDD framework implementation, and developer training. Changes are rolled out in phases so your team adapts gradually.
What does the Adoption Tracking Pod measure?
Feature delivery speed, software quality metrics, and parallel throughput — broken down per developer, per day. The pod identifies top adopters and developers who need additional support. Internal and anonymous cross-company benchmarking gives decision-makers a statistical view of transformation impact.
Can we start with just the Gap Analysis?
Yes. Each phase is a standalone deliverable. The Gap Analysis gives you a complete picture and roadmap that you can execute with us, with your own team, or with any other partner.
What is cross-company benchmarking?
We anonymously compare your team performance and adoption metrics against other organizations at similar stages of AI transformation. This gives you an external reference point — not just how your developers compare to each other, but how your team compares to the industry.
Do we need the Gap Analysis before the Transformation Sprint?
Not necessarily. If you already have a clear picture of your pipeline and know where you want to improve, we can start the sprint directly. If you are unsure where to focus, the Gap Analysis provides the prioritized roadmap.
What happens after the Adoption Tracking Pod?
Your team operates the AI-enhanced pipeline independently with full visibility into adoption metrics. Many clients keep the pod running for ongoing benchmarking and optimization. Others transition into a full Dedicated Team engagement for continued development.

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