AI budget control agent
The budget line an automated system cannot cross, because it is code.
A hard ceiling on automated spend, enforced in code before any money moves, with a scoreboard showing spend against the cap in real time.
Built with Supabase, Vercel, Stripe, Google Analytics 4.
The situation you are probably in
The moment a system can spend money on its own, the question is what stops it. A prompt that says stay under budget is a request, not a control: models drift, campaigns compound, and the failure arrives as a bill. Automation without a hard limit is a risk your finance team is right to refuse.
What we do about it
We put the ceiling where it cannot be argued with: in code, checked before any spend is committed, not reviewed after. The cap, the period and what happens at the line are written down and versioned. Alongside it runs a scoreboard, so spend against cap is a number anyone can read at any moment, and an alert to a named person as the line approaches. This is the control that makes the rest of the automation safe to say yes to.
Typical engagement. One to three weeks to put the ceiling and scoreboard over an existing account or system, fixed fee.
Where this already runs
Running live under our own campaign engine in a creator business: the budget cap is enforced inside the engine's code, a scoreboard reads spend against it continuously, and the cap has held while the automation above it launched and boosted campaigns unattended. The same principle runs through everything we build: the investing system's live-trading gate is a control in code, and it has never been crossed.
Most builds of this shape start with the two-week assessment: we map the process as it runs today, cost it, and write the scope. The fee is credited in full against the build.
Start with the two-week assessmentWhat you receive.
Concrete things, not outcomes on a slide. This list is the scope of the engagement.
- 1
A spending ceiling enforced in code, checked before money moves, never after
- 2
A written policy: the cap, the period, and exactly what happens at the line
- 3
A live scoreboard of spend against cap, readable by anyone
- 4
An alert to a named person as the line approaches, not when it is crossed
- 5
Every spend decision logged with what was checked and what was allowed
- 6
The cap changeable by named people only, with a record of who changed it
A good fit when
- A system, ours or anyone's, is about to spend money unattended
- Finance needs a control they can audit, not a reassurance
- You want automation and a bounded worst case at the same time
The right starting point when
You want the campaigns run, not just capped. The ad management agent runs the whole lifecycle with this control built in.
The concern is what an agent does, not what it spends. Every agent we build ships with a scope sheet: what it may do, what it must hand to a person, and how every action is logged.
You are choosing how much control the whole system needs. The two-week assessment writes the boundary first: what runs alone, what a person approves, and where the caps sit. The fee is credited in full against the build.
Not sure which of these is you? Describe the process and we will point you at the right one, on this page or another.
Price it before you commission it
Put the hours the task takes today, the salary of the person doing it and any quote you hold through the payback calculator. It shows the yearly saving, the payback period and the arithmetic behind both. Free, and nothing is stored.
Run the payback numbersThings you can check.
Figures from our own systems that this service draws on. Each one names its source.
- 5
- times we swapped AI for plain code that costs less to run
- 9,000+
- automatic checks that run before any change reaches a user
- 30+
- jobs that run overnight so nobody has to remember to start them
Every figure names its source. How we count. The investing system runs on a broker paper account, not real money.
Make the next AI project one the business can measure.
Thirty minutes with the founder, no slides. You will know what the right solution looks like, what it would take to build, what it should return, and which part to start with.
Replies come from a named person in Dubai within one working day.