AI agents for operations teams.
We build agent teams baked into your software, your processes and whatever you can dream up. Good solutions are no longer a myth.
Free. A chat won't hurt.
Watch it workRight now somebody at your company is copying numbers from one screen into another.
You've been burned by an automation vendor before. Your name isn't going on another failed project.
We take that job off their desk, not the person. They get the real one back.
A manager agent and its specialists take the boring half of the job. Your people keep the half you hired them for.
Example run
Step 1 of 5
Illustration
Activation trace / one vendor contract
Intake
A vendor contract lands. The manager reads it and wakes the two specialists it needs.
Risk
Scans for off-ramps: NDA, privacy, vendor risk. Finds one, an NDA.
Advisor
Price increases are uncapped, with $128,000 at stake. Drafts a counter: CPI or 3%, whichever is less, with a 12-month price lock.
Chief Agent Officer
Routes it to the agreement and the order form, then queues it for your review.
You
It proposes. You approve. Nothing changes without your yes.
Six jobs nobody should do by hand. Each one goes to a hire.
The one that does the work.
Intake, triage, the same fourteen steps every time. Takes back 20+ hours a week of work nobody wanted.
The one that never stops looking.
Reads logs, contracts, invoices and ledgers around the clock. Catches it before it reaches the P&L.
The one that tells you what it means.
Reads pipeline, P&L, churn and ops signals. Recommends the next move and shows its reasoning.
Crossed off: 0 of 6
Each one gets a handbook, the files, the tools, and somebody reading their logs.
The Core Four
In every agent we ship
The written rules it works by: its job, the calls it makes, and what it never does. Your team can read it.
Everything it is allowed to know: your files, data and policies. Nothing else.
What it can touch, and what stays locked. Anything that moves money or leaves the building waits for your yes.
Every step it takes, written down. Somebody reads them.
The YNDR layer
Ships with every YNDR agent. We walk your team through it on the call.
It remembers what your team taught it.
It works inside your rules, and can prove it.
It gets better every week. You approve every change.
While you sleep, it reviews the day and proposes fixes.
Slide decksStrategy retainersAI roadmaps
MIT found 95% of enterprise AI pilots produced no measurable return. (MIT NANDA, The GenAI Divide, 2025)
A project
gets a budget, a deadline and a launch party. Then it's over.
A hire
shows up Monday and stays.
Every project runs the same procedure. Only the features differ.
Discover, Design, Discuss
A 30-minute call. We fill out the Job Card together: the work, the systems, the number that proves it.
Develop, Demo, Deploy
Real software, built into your systems and running on your data. The agents inside it do the work.
Deliver, then we keep it running or hand it off
We keep it running, improve it, and add the next system. Or we hand it off to your team, with the handbook.
We'd rather show the work than count it. Three things we built, and what each one taught us.
Note 01 / Voice agent, national service provider
The voice agent handles complex inbound calls with remarkable accuracy. It owns the work end-to-end. Humans only step in when the agent escalates.
What we took from it: escalation is a feature. A good agent is judged as much by when it stops as by what it does.
Note 02 / Operations agent, enterprise ERP
It flags issues before they reach the P&L. The hard part wasn't the model. It was writing down what “wrong” looks like.
Note 03 / Built live in July
An expense agent, in under an hour. It caught a $2,140 fat-finger error and drafted the email back. A teaching build with no code; production agents are built in code.
Watch the full hour, uneditedYou own all of it. Code, keys and accounts in your name. We run YNDR on agents too, so we hit the rough edges before you do.
Thirty minutes. You leave with a filled-in Job Card.
