Lead Layer is a new way to structure software teams. A small group of senior operators — each one orchestrating a fleet of AI agents. Not another tool stack. A new organizational layer. I help companies design it, build it, and roll it out.
Most software teams are stuck in a hybrid mess: a big group of engineers, some of whom occasionally use ChatGPT or Gemini in private. No standard, no leverage, no measurable speedup. Lead Layer flips the equation — fewer people, each running a fleet of agents under a defined operating system.
One manager. Mixed roles. Scattered AI.
A traditional product team: a manager at the top, designers, product owners, QA, and developers reporting flat. A few have plugged ChatGPT into their workflow privately. No standard, no measured leverage. Output scales linearly with headcount.
3 leads. 9 specialized agents. One system.
Three senior leads — Product, Design, Engineering — each orchestrating a fleet of specialized agents. Leads coordinate peer-to-peer. Agents have defined roles, defined playbooks, and run continuously. Output decouples from headcount.
A shift to Lead Layer changes the unit economics of an engineering org. Here's what compounds.
Engineering output goes up 3–5× in teams that complete the transition. Not an estimate — measured. Each lead orchestrates multiple agents running in parallel, around the clock.
Leads spend their time on architecture, judgment, and design — not boilerplate. Agents handle the repetitive surface area. Less burnout, sharper engineers, better retention of your best people.
Agents operate from defined playbooks built into the system. No more "the senior dev does it differently than the junior." Code style, review process, deployment — uniform across the entire org.
Lower payroll, less management overhead, less dependency on a tight hiring market. The new team delivers more on roughly 40% of the budget — a conservative estimate based on real rollouts.
I don't sell tools. I design the organizational structure around the tools — and then I roll it out inside your company.
Map the team, the workflows, the tools in actual use. Identify where time is leaking and where agents can plug in without breaking what already works.
Define the leads, the agents, and the boundary between them. Who does what, when, and how they communicate. A real operating diagram for the day-to-day.
Stand up the new team — sometimes from existing staff, sometimes via hiring. Train the leads. Build out the agent fleet that runs underneath them.
I stay embedded until the system runs on its own. Measurement, adjustments, real-time problem solving — not a strategy doc that ends up in a drawer.
Pick the path that matches your stage, your pace, and how much of your existing structure you want to preserve.
For early-stage companies still defining their engineering structure. We build the team Lead Layer–native from day one — compact, leveraged, agent-first.
For teams that already exist and want to make the shift without breaking what works. Gradual rollout, team by team, over 3–6 months. Existing engineers train into lead roles.
For leadership teams that need to understand where AI fits in their org, what it means for team structure, and where to start — without committing to a full transformation yet.
Instead of filling a form, talk to my intake agent. It'll ask you four short questions, then send a calendar link straight to your inbox. The agent itself is a tiny demo of how Lead Layer works in practice — humans set the playbook, agents run it.