Tokens, agents, copilots: the spend is real and growing. What no one can show you is the return: which of it moved a number, and which is just burn. OTP puts a cost and a result on every seat -- human or agent -- so spend finally connects to contribution.
Every seat on the P&L costs money. The question the operating system never answered is which seats move the needle.
You can total the AI bill to the dollar: seats, tokens, subscriptions. What you can't do is tie a dollar of it to a result. That's a cost growing on your P&L with no ROI line next to it, and the board is about to ask.
Every usage report ends at the invoice. None of them tell you whether the spend changed a number you report, so you're funding a line you can't defend.
Micro-payments are where the agent economy is heading -- agents with budgets, a credit card, and no human telling them to spend. It isn't here yet, but when it arrives, spend without controls is an unbudgeted line that grows while you sleep.
Your model has FTEs. It doesn't have agents: a new class of labor with real cost and real output. You can't plan a workforce you can't see, cost, or compare.
OTP puts your whole org -- people and agents -- on one accountability map, and rolls every KPI up to your operating plan: the 3–5 year targets and the one number this quarter. Each seat carries what it costs and the result it drives. For the first time, finance can answer the only question that matters: is this seat earning its cost?
Hold an agent to the same scorecard as a person: a role, a number it owns, and what it costs to run. The 0.8× agents get retired; the 3× ones get scaled. Spend follows return, not the other way around.
Your operating plan stops being a board deck that's stale by Tuesday. Humans and agents drive the same numbers, and the plan updates as the work actually happens, rolled up in real time.
See how much of the business already runs without a person touching it, where you're over- or under-resourced, and the dependency gaps that quietly cost you, without chasing a single status update.
When the next role opens, decide person or agent on evidence: what each costs, what each returns, and what the work actually requires. The most expensive headcount decision becomes a measured one.
AI without controls is an open credit card. OTP was built upstream: the financial and data controls a CFO asks for are the product, not a roadmap promise.
And no lock-in: your data is yours, exportable on request today, and importing from Ninety or Bloom Growth takes an afternoon -- so the cost of trying it is a walkthrough, not a migration.
It's not a better Salesforce or Workday. It's the ledger a workforce of people and agents never had.
SaaS was built to manage people. The next decade is people and agents working the same plan, and nothing on your stack was designed to cost it, score it, or control it. OTP is that ledger: a cost and a result on every seat.
David Steel, founder of OTP
Ask what one company in the portfolio can teach another at the operating level and the honest answer today is: nothing structured. OTP turns that into an asset: every entity's numbers roll up into one view, and proven operating playbooks move from one company into the next.
Every entity cascades into one portfolio scoreboard -- 22 companies or 300 sub-orgs -- set up automatically, not by hand. From 140 people to 3,000, the same consolidated view.
Look at how one company runs versus another at the operating level -- cost per outcome, revenue per seat, agent leverage -- and spot where margin is hiding.
Best practices, agents, and whole operating systems become portable assets across the book: the organizing function of a value-creation plan, finally captured.
You don't roll this out to the whole company on day one, and you shouldn't. The disciplined path is contained: prove the return at the top, then let it cascade as the numbers justify it.
For the Founding Fifty -- our first fifty companies -- we import your org chart with contacts, upload your SOPs, invite your leadership team, and build your first agent with you. You don't build a thing.
Start with people on the operating system you already run, whatever it is. Add agents as costed seats once the chart is real.
Expand where the return shows up. Every agent earns its seat on a number -- or it doesn't, and you see that too, before it costs you.
A 30-minute walkthrough on your org. We'll show you cost-to-contribution for humans and agents on day one -- and exactly where the spend isn't earning its keep.
We run our own company on these exact agents -- live, on this platform. We'll show you ours, working. Watch us run, live →