Ship More Software With Fewer People
The market is no longer asking for more developers. It is asking for more output without more headcount. Lanex pairs AI-assisted engineers with senior delivery experience to ship outcome-priced software in 4 to 8 week sprints — measured on cycle time, backlog cleared, and cost per shipped feature.
Who this is built for
AI does not replace engineers in real-world software businesses. It changes how much output a small team can ship. Lanex is strongest where the system is complex enough that AI alone cannot deliver it — but where AI inside a disciplined workflow makes a small senior pod the right call.
Software-led businesses being asked to do more with the same engineering budget
Teams whose backlog is growing faster than their headcount can clear it
Buyers measuring delivery in cycle time, defect rate, and cost per shipped feature — not in seats
What we don't do
We don't replace engineers with AI agents and call it a delivery model. AI accelerates senior engineering — it does not stand in for it. Every change is reviewed and accountable.
From paying for seats to paying for outcomes
The buyer question has changed. It is no longer "how many engineers can you give me." It is "how do I ship more software without growing the team."
Old model: pay for capacity
Hire more engineers. Bill by the seat. Output scales with headcount. Cost scales with headcount. Risk scales with headcount.
Lanex model: pay for output
A small AI-assisted Lanex pod ships a defined outcome inside a fixed window. You pay against the outcome, not the seats. Smaller team, faster delivery, clearer accountability.
What an AI-assisted Lanex pod actually changes
Each pilot reports against the same four metrics. The Friday outcome report is built in, not bolted on.
Higher throughput per engineer
AI-assisted pods move through code review, test generation, refactoring, and documentation faster than headcount-only teams. The same calendar week ships more shippable change.
Shorter cycle time
From brief to production in 4 to 8 weeks for a typical pilot scope. We measure it, you see it on the Friday report.
Tighter quality control
AI is used inside a structured workflow — code review, test generation, vulnerability scanning — not as a replacement for senior judgement. Every change is reviewed by a Lanex engineer.
Real engineering rigor
Version control, observability, rollback, and testing discipline are not optional. AI accelerates the work — it does not skip the work.
From brief to first production release
Outcome brief (1 week)
We agree the outcome — the metric, the production change, the deadline. Not the team size, not the daily rate. The outcome.
Pilot pod (4 to 8 weeks)
A 2 to 4 person Lanex pod runs the work using our AI-assisted delivery toolchain. You get weekly outcome reports, a working production change, and a kept-or-stopped decision at the end.
Expand or stop
If the pilot hits the outcome, scope the next one. If not, you stop. There is no long lock-in contract and no penalty for ending the engagement after a pilot.
Sell more output. Not more people.
Scope one sprint, ship one production outcome, decide whether to keep going. That is the entire engagement model.
Want more software output without more headcount?
Tell us the outcome that matters — backlog cleared, integration shipped, system modernised — and we'll come back with a 4 to 8 week pilot scope, the outcome metric, and the pod needed to ship it.