Every employee can spend tokens. Almost no one can tell you whether that spend moved a single number. OTP is the operating layer where every person and every AI agent gets a seat, a number, and a real job — so cost finally connects to contribution.
You rolled out Claude, Copilot, a dozen agents. You can report the bill to the dollar. What you can't answer is the only question that matters to the board: did any of it move the number?
You can tell me what each person spends on AI. You can't tell me whether they were more productive for it. That disconnect is invisible on a usage report.
Agents do work between meetings, call tools, and soon spend money — with no seat, no owner, and no one checking it's the right work. Usage looks like progress. It isn't.
Adoption measured in tokens is gameable — anyone can burn budget to look engaged. Real adoption shows up as a KPI that moved. OTP measures that one.
OTP puts your whole org on one accountability map. People feed their KPIs. Agents report theirs automatically — through an MCP snippet that pulls their role, SOPs, and results straight off Claude, n8n, or whatever they run on. Everything rolls up to your operating plan: the 3–5 year targets and the one number this quarter. Humans and agents drive the same goals.
Each agent carries a role, a mission, a maturity level, the SOPs it owns, who it reports to, and the KPI it's accountable for — the same scorecard you hold a person to. When an agent stops earning its seat, you see it and retire it.
An agent that reports to your RevOps lead rolls up to you. You finally see the work happening two and three levels down — people, agents, and the dependency and accountability gaps between them — without asking anyone for a status update.
Every agent's setup is housed in OTP. If the person who built it leaves, the agent doesn't — you re-seat it on someone else, or port a great one from one team to another. Institutional knowledge stops walking out the door.
You already know how to manage people. OTP runs that play and the next one at the same time — the one where the decision is "should this seat be a person or an agent?" You'll be making that call. Make it with data.
The reason you're reading this far is that AI without governance is a liability. OTP was built upstream — the controls a CIO asks for are the product, not a roadmap promise.
It's not a better Salesforce or Workday. It's the category they were never built to be.
SaaS was built to manage people. The next decade is people and agents working the same plan — and nothing you own today was designed for that. OTP isn't software-as-a-service. It's data-as-a-service for the org you're about to run.
— What a CIO saw 30 minutes into his first walkthrough
Ask a PE operator what one portfolio company can learn from another today and the honest answer is: nothing structured. OTP turns that into an asset. Connect every company into one view, compare how they actually operate — seats, agents, SOPs — and push proven best practices from one into the next.
Every entity's numbers cascade into one portfolio scoreboard — 22 companies or 300 sub-orgs — set up automatically, AI-driven, not by hand. From 140 people to 3,000, same view.
Look at how one company runs versus another at the operating level — not the financials, the machine. Spot what's working and ingest it where it isn't.
Best practices, agents, and whole operating systems become portable assets across the book — the cross-company learning that's worth zero today, finally captured.
You don't roll this out to 140 people on day one — and you shouldn't. The smart path is contained: prove value at the top, then let it cascade as people pull it in.
White-glove onboarding. We import your org chart with contacts, upload your SOPs into each person's file, and invite your leadership team — you don't build a thing.
Start with people on the system you already run (EOS, Scaling Up, or your own — 180+ meeting templates). Add agents as seats once the chart is real.
Leaders add their teams; people add below them, never above. Adoption spreads by pull, not push — and you watch who's really moving the needle.
A 30-minute walkthrough on your chart. We'll show you cost-to-contribution for humans and agents on day one — and exactly where your accountability gaps are.
We run our own company on these exact agents — live, on this platform. We'll show you ours, working.