A senior operator spends three days inside your operation.
You walk out with a written diagnosis of what's recoverable, where the leverage is, and what an agent would do on day one.
No deck. No deliverables theater.
Your most critical business logic lives in spreadsheets no one understands.
You don't need better spreadsheets. You need AI to reimagine new ways of doing work that wasn't possible before.
Meet Steve.
Steve's a brilliant engineer.
Steve built an Excel masterpiece. 47 tabs. 12,000 formulas. A macro that emails someone on Tuesdays.
Steve's scheduling spreadsheet runs your entire operation.
Steve left 18 months ago.
Nobody knows how it works. Everyone's afraid to touch it.
But your entire business depends on it.
This is trapped institutional knowledge.
We recover it.
For 20 years, software couldn't reason.
So you built approval chains. Review queues. Spreadsheets named after people.
Every process you run was a workaround for something computers couldn't do.
That era is over.
You can't see constraints that have been invisible for 20 years.
You can't imagine processes you haven't experienced.
You can't design for AI you don't understand.
We see the constraints — because we've watched dozens of companies retire them.
We redesign the processes — around what's now possible, not what used to be required.
We deploy the AI — where the constraint dies, not where the demo looks good.
You get the outcome. Not the experiment.
Start the conversationAt every engagement, we do the same three things. Not as a product we sell you. As the architecture of the work.
Sense. Reason. Act.
Sense.
Agents collect the current state of your operation — open POs and SOs, inventory, exceptions, conflicts, overdue tasks — and the events that just changed it. Price variance detected. Stock below safety level. Customer escalation opened.
Reason.
Agents analyze what those observations mean against your playbook and your guardrails. What’s the root cause. What options exist. What the best next action is, given how you actually run the business.
Act.
Agents turn the recommendation into an outcome — through a governed execution path you choose, per agent, per tool. Deterministic API calls into your ERP via MCP. Every step logged, every change auditable.
Trust is earned.
Every agent ships in one of three modes — configurable per agent, per ERP tool. You move an agent into more autonomy as it earns it. Everything is monitored. Everything is recorded.
Observe
Agent watches. Logs only. Takes no action.
Suggest
Agent recommends. A human approves before anything happens.
Act
Agent executes. Within the rules you set, on its own.
You stop guessing.
One audit.
Three paths.
AI in your tools
Agents in your existing tools — Slack, email, Sheets.
Teams who want a fast win without touching the ERP.
AI in your tools + ERP MCP
Same agents, plus certified read/write to your ERP.
Teams whose leverage is in ERP automation.
Full Intelligence Recovery
The deep engagement. Rebuild end-to-end, ship on Krateos, hand off.
Operations that depend on Steve's spreadsheet.
Pick where you're stuck.
- Not a chatbot.
- Not a copilot.
- Not another dashboard.
The autonomous operations layer your ERP vendor hasn't shipped yet.
We build it now, on the data you already have, for less.
Recover your trapped intelligence.
Tell us what's going on. We'll get back within one business day.