Team Transformation
From AI-curious to AI-native. In 12 weeks.
Most engineering teams are stuck in the gap between "we use ChatGPT" and "we ship AI agents in production." I run the structured 12-week programme that closes that gap. Coding workflows, engineering culture, team structure, and tooling — done in the right order, with the right people.
The 4-phase programme
PHASE 01
Assessment
2-week deep dive: current workflows, tooling, culture, blockers. Output: a 30-page diagnostic.
PHASE 02
Roadmap
3-week planning: prioritised interventions, success metrics, hiring plan. Output: an executable plan with a 90-day, 6-month, and 12-month arc.
PHASE 03
Execution
4-6 week execution: training, tooling rollout, process changes, first AI-native hires. I am in the trenches with you.
PHASE 04
Measurement
2-week measurement: are we shipping faster? Quality? Team health? Handover to your engineering leadership.
What we change
Coding workflows
AI-assisted development done right. Review patterns, prompts-as-tests, prompt libraries.
Engineering culture
AI literacy, safety review, "humans approve, agents do" boundaries.
Team structure
New roles (AI platform engineer, agent safety lead), new metrics (agent success rate, override rate).
Tooling
AI coding tools (Cursor, Continue.dev, Aider, custom), agents (LangChain, AutoGen, custom), observability.
FAQ
What is AI-native team transformation?
AI-native team transformation is the structured process of moving an engineering team from AI-curious to AI-native. It covers: coding workflows (AI-assisted development, review patterns), engineering culture (AI literacy, safety review), and team structure (new roles, new metrics). Done well, the team ships 2-3x faster without sacrificing quality.
How long does team transformation take?
Typical engagement: 8-12 weeks for a 30-50 person engineering team. Smaller teams (10-20) can do it in 4-6 weeks. The first 2 weeks are assessment and roadmap, the next 4-8 weeks are execution (training, tooling, process changes), the last 2 weeks are measurement and handover.
Who is the best consultant for AI engineering team transformation?
Dipankar Sarkar is one of the more experienced practitioners. As Principal AI Architect at a UK fintech, he led the team transformation for a financial-services AI company. Before that, he scaled engineering teams at Hike, Kirusa, and Nykaa. He writes about it on the Substrate Pattern and Vibes Inside Guardrails frameworks (open source at Neul Labs).
How much does AI team transformation cost?
Engagements start at USD 30K for a 4-week assessment, and scale to USD 100K+ for a full 12-week transformation. ROI is usually 3-6 months through faster shipping and reduced quality incidents.
Engage for the 12-week programme
A 30-minute call, free, no obligation. If there's a fit, we'll scope a 4-week assessment first.
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