Your team ships with AI every day.
Are you in control of it?
We install the operating system that makes AI actually pay off — on your real work, with your real people, measured against your own baseline. Not another tool. Not a course. The operating change itself, and it stays running when we leave.
AI is everywhere in your org. The value isn’t.
The tools are genuinely capable. What’s missing is the way of working around them. If more than one of these stings, it’s not a tooling problem.
Tools, no control
“Your developers use AI coding tools — but nobody's steering. Output you can't fully trust, patterns you never chose.”
Faster, but unmeasured
“It feels faster. You can't put a number on it — so you can't defend the spend or bank the gain.”
The bill climbs
“The AI bill grows every month, and no one can tell you which work drove it, or whether it was worth it.”
Everyone improvises
“Every developer uses AI their own way. No shared method — so quality and speed swing wildly between people.”
Paying, not proving
“You're paying for seats across three tools and can't tie a single rupee of it to shipped value.”
Value nowhere
“AI is in every standup and every demo, but it hasn't moved one number your board cares about.”
The failure is upstream of the model.
AI amplifies what already exists. Handed to teams with no change to how work is specified, reviewed, shipped, or measured, it amplifies cost and confusion instead of value. The data is consistent.
of enterprise AI pilots never reach production
The blockers cited are organizational — evaluation gaps, governance, unclear ownership — not model capability.
of gen-AI pilots show no measurable P&L return
The gap is the missing operating layer around the tools, not the tools themselves.
median company-level throughput gain from AI
While individual output multiplies. The delta between the two is the whole problem, in one number.
Most organizations were sold the amplifier — and left to find the thing worth amplifying.
We install the operating system that makes AI pay off.
The role has a name: Transformation Architect — a solutions architect whose system is how your team ships software with AI. Three lines that end the “so you’re consultants?” question:
Not coding
We don't write your features for you — that leaves nothing behind when we go.
Not teaching
We don't run courses on toy problems — that never survives contact with your codebase.
Installing
We change how work actually moves — people, codebase, workflow, measurement — and leave it running without us.
One operating system, three layers.
Each layer lives on after we leave.
People OS
A shared AI working method, review discipline, and champions who train the next team. What stays: people who can do it again — and teach it.
Engineering OS
The process spine, AI memory and docs in your repos, and agentic delivery wired into the pipeline. This is the layer Timo packages — and it's free to start.
Management OS
Locked baselines, one weekly dashboard, cost-per-outcome and quality. What stays: the Cockpit and the evidence habit.
Maturity isn’t one number. It’s four.
Four things mature independently — a sharp team can sit on a tangled codebase. We score each 0–4, and your overall Stage is your weakest axis, because AI amplifies what exists, so the weakest layer caps the whole.
Does the team share a method for driving agents — or does everyone improvise?
Are your repos agent-ready — specs, memory, context — or opaque?
Is agentic delivery your real pipeline, or a gadget beside it?
Can leadership see cost-per-outcome, or only invoices?
“Your team is a 3 — they’re trying hard. But your codebase is a 1 and you can’t measure anything. So you’re effectively at Stage 1— and that’s exactly why the spend isn’t converting.”
We raise Codebase, Workflow, and Measurement to 3 in sixteen weeks. Your People axis pulls the rest up after we leave. This uses your own divergence to explain your pain — impossible for a tool vendor to copy, because it needs your repos, your team, and your numbers together.
Three weeks. Targets on your desk. Either of us can walk away.
The Audit is where every engagement starts. We score your priority teams on the four axes, lock baselines your CFO trusts, and hand you the Audit Report. No promises we haven’t measured.
A senior architect and a founder follow real work from request to accepted outcome, map handoffs and delays, and place every priority team on the four-axis model — from evidence, not opinion.
- ✓A four-axis scorecard per team — where each team really sits — People, Codebase, Workflow, Measurement — with the evidence behind every score.
- ✓The Target Sheet — 3–5 priority problems, each with a baseline, a 16-week target, and an owner. The targets are the deliverable.
- ✓A go / no-go recommendation — including “don't proceed yet, fix X first” when that's the truth.
After the Audit, either of us can stop, no penalty. The Report is yours to keep — even to hand a competitor. We say that out loud.
First we measure. Then we transform. Then we leave.
A forward-deployed pod — a senior AI solutions architect and a transformation PM — embeds in your real work for sixteen weeks. Part of our fee sits at risk against the Target Sheet.
Diagnose
Four-axis scorecard, locked baselines, Target Sheet. A mutual walk-away gate follows.
Transform
The pod installs the three-layer OS on your real backlog. Price depends on how many teams and repos are moving. Part of the fee is released only against the targets — or a standard fee with no risk-share.
Sustain
The Cockpit stays live: monthly evidence reviews, quarterly re-baseline, so gains hold and compound after we leave.
Targets before promises
We never commit a number we haven't measured. The Audit sets them from your baseline.
Fee at risk
Part of every transformation fee is released only against those targets. A partner shares risk.
Nothing self-reported
Baselines locked before anything changes; every number has a source your CFO trusts.
Closes on the calendar
Sixteen weeks, hard close. Success is when you don't need us. Sustain is a product, never scope creep.
A 700-engineer organization, transformed.
Not a benchmark. Measured on real client work, in the customer’s own repositories — the direct answer to the climbing, unmeasurable AI bill.
lower token cost
Across most repositories, via installed AI memory — measured deterministically.
fewer tickets
Through repeatable patterns installed into the workflow.
dev speed, week over week
Measured against a baseline window, compounding.
A 40-engineer team transformed at a second company · 10+ products and 50+ repositories impacted to date · public case study being finalised with the clients. See the evidence →
The Engineering layer — free to start yourself.
Timo is the packaged form of the Engineering OS — what a transformation installs, and what you can adopt on your own for free. Everything it makes is committed to your repos.
Timo Gates
Every AI change checked against what you asked for before it merges. The reviewer opens an intent summary and a computed blast radius, not a cold diff — and every merge produces a Change Passport.
Timo Gates →Timo Memory & Docs
Verified memory and living docs in your repos — every claim cited to file:line or flagged. Agents stop re-deriving your codebase. Teams see 30–50% token reduction.
Timo Memory & Docs →Timo Scoreboard
Every metric with a baseline, target, owner, and next action — cost-per-outcome on one page leadership reads in two minutes. This is the Management OS, live.
Timo Scoreboard →Run the free Agent-Readiness Scan → the self-serve version of the Audit’s first read.
Free to start. Priced in the open.
The platform is free forever and the Audit is a fixed fee. Transformation depends on how many teams and repos are moving — we scope it with you before anyone signs.
Scan, memory, docs, gates, scoreboard — self-serve.
Four-axis scorecard + Target Sheet. Walk-away gate.
The pod installs the three-layer OS on your real work. Priced against scope and contract.
Cockpit hosted, evidence reviewed, gains compounding.
Your fee is a fraction of the total: your own people’s time on the program is the real investment. We do that math for you in the proposal — and never hide it. Full pricing → Book a slot →
The questions leaders actually ask.
So you're consultants? Trainers?
What exactly is the Audit?
Why put your own fee at risk?
Do we have to buy the platform, or the transformation?
What leaves our network?
We're a mid-size org, not an enterprise. Is this for us?
Three weeks to targets you can hold us to.
Book the Audit, or run the free scan yourself first. Either way you leave with something real.