What we take on

AI for the team that keeps it all running

Operations teams spend their best hours being the glue between systems that don't talk. Hand the routing, chasing, and reporting to software, and those hours go back to the work only your team can do.

Built for
  • COOs
  • VPs of operations
  • Ops managers
  • Chiefs of staff
  • Shared-services teams
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INBOX FORM SPREADSHEET YOUR SYSTEMS NEEDS SIGN-OFF Routed by your rules Weekly report
The Challenge

Ops runs on the exceptions, and nothing is built for them.

Requests arrive from every team, the ones needing a judgment call sit until one person is free, and the numbers you report come from a tracker nobody has updated.

Without an agent

With an agent

01The stuck requests

The requests that don’t fit stall in the queue.

Nobody owns them, nothing is on a clock, and they move again only when someone chases.

02The approval rule

Only one person knows when to say yes.

Everyone else forwards the request and waits. When that person is out, nothing moves.

With AI in the mix

Written down once from your own approvals, then applied to every request that follows.

58 approvals mapped
03The tracker

The tracker stopped matching what happened.

So every status update starts with an hour of asking people where things really stand.

With AI in the mix

Every source214

Counted from the systems themselves, so the status update is already written.

…and many more use cases

Capabilities

The AI our clients actually put to work

What we design and ship inside your operation, in whatever mix the work calls for. For many of these jobs, an agent is already built.

Ready-made AI agents for operations teams

Start with a done-for-you agent.

Each one starts from work we’ve already built for clients, then gets fitted to your systems and your rules, and it’s yours to keep. Live in 3 to 6 weeks, at a fixed price.

  • Contract review
  • Internal questions
  • Software vendor approval
See the agents How the service works
Case study

The whole operation, running on one layer

Intake, quoting, dispatch, and billing on one connected platform

A cross-border medical transport company ran every mission on scattered spreadsheets and each coordinator's own shorthand. We built the operating layer that carries a case from the first call through clinical handoff and finance close, with every team working from the same record.

Read the case study
45%Less admin effort across mission ops
$240KAvoided hiring as case volume grew
3 daysFrom mission close to invoice paid
1 viewOf every mission, end to end
Security & Compliance

Built to your controls, not around them

You already have approval chains, spending limits, and record-keeping rules. We build inside them. That shapes the work from day one, instead of becoming a checklist at the end.

We build to your rules

Your approval chains and record-keeping rules go in from day one. If your policy says a person signs off, the system enforces it.

Not our first rodeo

Our team has worked with personal data, SOC 2 requirements, and records a regulator can ask for. Yours won't be the first security review we've answered.

You own everything we build

The code, the accounts, and the documentation are yours. Nothing to hand back at the end, and the architecture is your IP to use forever.

Where to start

One workflow, one team, or the whole department

Some teams arrive with one process that's breaking. Others want to rebuild how the department runs. We meet you where you are.

Automate your tasks

AI Agents

A proven agent for one job, like request intake or the Friday report, set up on your systems and your rules and live in 3 to 6 weeks. It runs in your own accounts, and your people approve what matters.

See the agents →
Finally define your AI strategy

AI Jumpstart

A few weeks to map how the work really moves, audit your stack, your data, and your controls, and find where AI pays back. Delivered with a working prototype on your own files, before anyone commits to a build.

Learn about the Jumpstart →
Build what’s next

AI Deployment Studio

Your prototypes built into production software by a lean team that stays through launch, rollout, and your first audit on the new system. The code is yours, in your own accounts.

Learn about the Studio →
Questions

What teams ask us first

We're not a technical team. Who maintains this?
You do, and it's built for that. The code, the accounts, and the documentation are in your hands from day one, and what we ship is designed to be run by an operations team, not babysat by a standing engineering bench. We don't disappear at launch either: we stay through rollout, training, and the first months of real use.
Which processes should go first?
The ones with volume and rules: work that arrives every day and gets handled the same way, or would be if anyone had written the way down. Request intake and order entry from email are the usual first picks. Both are agents we fit to your systems and rules in 3 to 6 weeks, so the first one is the one with the clearest payback.
Will this replace the tools we already use?
Only where a tool has stopped earning its place. Most of what we build connects the systems you already run, so the routing, re-keying, and chasing between them goes away without a migration. Sometimes the honest answer after mapping the work is that a tool should be replaced, and we'll tell you that. But replacement is an outcome, not the starting plan.
How do we know what the AI actually did?
Every automated action carries an actor, a timestamp, and a reason, captured as the work happens rather than reconstructed later. When someone asks why a request was routed where it was, or who approved a spend, the answer is a lookup, not an investigation.
What stays human?
The judgment calls. Approvals, exceptions, and anything that needs a documented reason stay with your team, and the system enforces that instead of letting it get bypassed on a busy day. AI carries the reading, routing, and assembling around the decision, so the person making it starts with the full picture.