Your AI agents are spending like a department
Govern them like one
Per token prices keep falling, and your agent bill keeps climbing. We find where the spend is going and put the right controls in place to keep your margins intact, without freezing the experimentation that keeps you competitive.
The cost doesn't show up
where you're looking
Cheaper tokens don't shrink the bill; they multiply agent volume. A single always on agent can quietly run a six figure rate rereading the same context thousands of times. The spend builds inside engineering budgets, then arrives all at once as margin compression in the financials.
of FinOps teams now manage AI spend, up from 31% two years ago. (State of FinOps 2026)
of companies plan agent deployments in the next two years; only 21% have a governance model. (MIT Tech Review / Deloitte, 2026)
annual run rate a single always-on agent can reach before anyone approves the spend.
"By the time finance sees it, it's a variance to defend, and the usual reaction, a blanket budget freeze, just trades one mistake for another. We get to it first, and turn it into a number you've already managed."
How we think about it
Your AI spend isn't one number
You'd never manage all of payroll as a single figure. Agent spend is the same: govern it by the outcome each agent drives, not as one bucket to maximize or freeze.
Stop the bleed, not the experiments
The panic reaction to a shock bill is a blanket freeze, and it quietly kills the experimentation that keeps you ahead. We cut what's wasteful and protect what's worth learning.
Govern where it's fragile
We put the guardrails exactly where hard won enterprise experience says systems actually break, and never automate against a process we don't truly understand.
Independent by design
We don't sell you a model or take a cut of your tokens. We're paid to lower your cost per outcome, which means our incentives point the same way yours do.
FinOps teams read a bill. AI shops build an agent
We've done both, inside real enterprises
Governing agent spend takes someone who can stop a runaway loop, put a cost-per-outcome number in front of a CFO, and knows from delivering real enterprise transformations exactly where things break. The whole industry has now spent billions relearning the oldest lesson in enterprise software: no technology transforms a company on its own. Trusted people using it well do. We're the independent ones doing the governing, not the ones paid to sell you more.
Who we work with
Engineering & platform leaders
Holding back an agent cost overrun before it ever reaches the board.
Finance leaders
Turning agent spend into a managed, predictable cost, not a surprise or a panic freeze.
Private Equity backed & scaling teams
Proving AI value under pressure without letting the burn rate spiral.
Want to know more about
what we're building?
Tell us a bit about your team and your agent stack, and we'll be in touch with more details.