AI operations, built with agents and run by people.
Agents draft, people decide. Every agent has an owner and an off switch. Nothing goes in front of your customers without a human reading it first.
When to call
The team has tried the tools. Nothing holds together.
- Everyone has their own prompts, and nobody knows what any of it costs.
- The work between the work eats the week: inbox, scheduling, follow-ups, reporting.
- An automation broke quietly a month ago and nobody noticed.
Workflows first
Plenty of what’s broken needs no AI. Intake, approvals, handoffs, and reporting need a clear path and an owner first. We fix the workflow, then add an agent where it saves real hours.
What we build
Agents that triage the inbox and draft the replies. A bot that watches vendor spend and flags the drift before month end. Workflows that turn every call into a summary, a decision, and a to-do with a name on it. A dashboard that shows what each one costs.
The human in the loop
Every agent reads the house rules before it acts. Every agent has a named owner who reviews what it did. Anything that touches money, customers, or people waits for a person to approve it. You get a record of what the agents did and a cost line you can read.
Questions
How does it start?
Scoped in the read. Built inside the operator. Handed over either way.
Will this replace people on our team?
It gives them days back. Your team runs the layer when we leave, with the house rules and the off switch.
Will you write our customer-facing copy with AI?
No. And we’ll tell you when you shouldn’t either.
Next
Thirty minutes, free. We’ll tell you which work should go to an agent, which needs a better workflow, and which should stay with a person.