We Train Engineering Teams to Build with AI.
On Your Codebase.
We embed into your engineering org for 8-16 weeks. Your developers learn to assign structured work to AI agents, review output through quality gates, and maintain context across sessions. When we're done, they keep doing it without us.
What AI-Managed Development Looks Like
Your engineers don't just use AI tools. They manage AI agents. Structured tickets, persistent context, review gates. The same way they'd manage a junior developer — except faster.
Assign Structured Work to an AI Agent
Review Through Quality Gates
Track Outcomes Across the Team
| Metric | Week 0 | Week 6 | Week 12 |
|---|---|---|---|
| AI-assisted commits | 0% | 34% | 68% |
| Agent review compliance | — | 91% | 100% |
| Deployment frequency | 1x/week | 2x/week | 4x/week |
| Incident volume | baseline | -40% | -80% |
DORA metrics tracked from day one. These are real targets from active engagements.
How Enterprise Engagements Work
8-16 weeks. We embed with your engineering team, train them on AI-managed development, and leave when they can do it themselves.
Vendor-funded — cloud platform partners (Microsoft, GitHub) subsidize the engagement through their enterprise programs. This often means zero out-of-pocket cost for the client.
Direct engagement — the organization invests directly. Same methodology, same outcomes.
Middle East Retail Franchise — 50,000+ Employees
Trained 29 engineers across 3 batches in 12 weeks. Team went from zero AI adoption to managing agents across legacy iOS codebases independently. Vendor-funded. No ongoing dependency on Timo.
Indian Enterprise Software Company — 44 Codebases
Two parallel streams across SaaS and enterprise products. Board-committed engagement. Tracking 25% productivity improvement, 15% efficiency gains, 80% incident reduction. All metrics measured against DORA baselines established at kickoff.
Free Discovery Workshop — April 20, 2026. We'll walk through what AI-managed development looks like on a real codebase. No pitch, no slides. Register here →
Let's talk about your team.
Schedule a MeetingWe work across retail, enterprise software, banking, healthcare, and manufacturing. See industry use cases →
We also train individual engineers. Learn about the training program →
Frequently Asked Questions
We embed into your engineering team for 8-16 weeks. We train your developers to manage AI agents on your codebases. When we leave, they keep doing it. No ongoing dependency.
Consultants build things for you. We train your team to build things themselves. Six months after a consulting engagement, you need them again. Six months after Timo, your team handles it.
Assigning structured work through tickets. Maintaining context across sessions with persistent memory. Reviewing output through quality gates. Managing AI the way you'd manage a team member — with scope, accountability, and review.
Enterprises with 100+ developers and complex legacy systems. Current clients include a 50,000-employee retail franchise and an enterprise software company with 44 product codebases.
8-16 weeks. We work inside your sprint cycles. Four stages: Foundations, Productivity, Mastery, Power User. Most teams operate independently by week 12.
Two models. Vendor-funded: cloud partners like Microsoft and GitHub subsidize the engagement, which often means zero cost to the client. Or direct engagement: the organization pays directly. Same methodology either way.
We set measurable targets at kickoff using DORA metrics. Current engagements track 25% productivity improvement, 15% efficiency gains, 80% incident reduction. Measured against baselines, not training hours.
Let's Talk About Your Team.
Schedule a meeting. We'll figure out if there's a fit and what an engagement would look like.
Schedule a MeetingFree Discovery Workshop — April 20, 2026 · poorna@timolabs.dev