Pay for outcomes.
Not headcount.
Traditional consulting charges you for the size of the team. We deliver defined software outcomes with small, senior-led, AI-native teams—at a fixed price.
Small senior teams
No pyramid of juniors learning on your budget. The people who scope the work are the people who build it.
Fixed-price outcomes
One price for a defined result, agreed before work starts. No hourly meter. No change-order economy.
AI-native delivery
AI embedded in how we design, write, test, and document code — not a chatbot bolted onto the old process.
Headcount was never
the product.
It was the cost of getting software built when every line had to be typed, tested, and explained by a person. AI changed that cost. Most consulting price lists haven't noticed — because their revenue is the headcount.
AI speeds up the work itself
Code generation, test coverage, documentation, and analysis are faster with AI built into the process. A traditional estimate can still price that work as if 2015 never ended.
Fewer people, less waste between them
When each engineer carries more of the system, there is less to hand off, less to re-explain, and less rework when the hand-off goes wrong. Seniority does what headcount used to.
The overhead layer disappears
No project manager to manage the developers, no scrum master to manage the process, no program office to manage the project managers. You pay for building, not for keeping a large team pointed in the same direction.
Every path is a meeting, a hand-off, a misunderstanding waiting to happen. Traditional estimates bill for all of them. In our delivered work, that difference has meant an agentic AI system launched as an MVP in 6 weeks by 2 people. We estimate a traditional team would have needed 4–5 people and 12 weeks. At another large engagement, redesigning only the team's process, not the product, doubled its Jira throughput within 8 weeks.
Not a team. A result.
A time-and-materials contract sells you effort and leaves the risk with you. A fixed-price outcome moves the risk to the people who control the work.
A fixed-price scope
We define the outcome together, price it once, and hold that price. If our estimate is wrong, that is our problem, not your invoice.
Defined deliverables
Working software, plus the code, tests, and documentation behind it. Not slideware.
Acceptance criteria
What "done" means is written down before work begins, in terms you can verify. The engagement ends when the criteria are met, not when the hours run out.
Accountability
A small team with direct ownership of the result. No layers to diffuse responsibility, no one to escalate to but the people doing the work.
- Hours, whether or not they moved the work forward
- Seats on the team chart that exist to manage other seats
- Change-order negotiations every time reality meets the plan
- One price, known before the work starts
- Software that meets criteria you defined
- A team whose incentive is to finish, not to extend
Bring us the estimate
you were given.
An existing estimate, a backlog, or a project brief. We'll show you how a small, senior, AI-native team would approach it — and what it should cost when you pay for the outcome instead of the org chart.
An engineer's read, not a sales pitch
How we'd structure it, the team shape, and where the traditional estimate is carrying weight it doesn't need.
A fixed price you can compare
If there's a fit, a fixed-price scope and timeline to hold side by side with what you have.
An honest answer either way
Our model isn't right for every project. If your estimate is sound, or we're not the right fit, we'll say so.
Run the numbers on your own team first.
The Leverage Assessment takes two minutes: what coordination costs your team today, what AI can add, and what that means for cost and speed. Nothing is sent anywhere unless you ask.