Add intelligence to your workflows.

Most AI pilots don't fail on the model. They fail on having no one who's actually done this before.

Built by Enterprise architects with 25 years designing the systems large organizations run on.

The failure pattern

Obvious in hindsight, unstaffed in the moment.

A prompt that works on one document fails on the next. By the time that's obvious, the team that built the pilot has moved on.

Method

Reliability is architecture, not prompting.

Inbound Resolved
Illustrative — one pass through the routing architecture.

A model on its own gets most of your data right — and enough of it wrong that nobody will trust it with real work.

So rules handle the routine. A model handles only the judgment calls. Every answer is checked against examples your team has verified, so accuracy is a number you can see.

Principles

How we work.

A person reading a stack of printed records closely, pen in hand.
  • Judgment

    We automate the work around the decision, never the decision. What reaches a person is the exception, with the reasoning shown.

  • Operations

    We run it in production until your team is ready to take it. No engineers? We embed ours until it runs on its own.

  • Ownership

    Your data, integrations, and workflows stay yours. The platform stays ours — that's why deployment takes weeks, not quarters.

Process

Four steps, each with a timebox.

  1. 01

    Audit

    Read-only access. We map where the work actually happens and where it breaks

    1–2 weeks
  2. 02

    Architecture

    What gets handled by rule, what needs a model, what stays with a person

    1–2 weeks
  3. 03

    Deploy

    Running in your environment, on your systems, checked against examples your team has verified

    4–6 weeks
  4. 04

    Operate

    We run it until your team is ready to take it. Or keep running it

    Ongoing

Deployment

Where the agents run.

Finance operations

Matching and reconciliation across systems never built to talk to each other.

  • Payables exceptions sorted and routed
  • Cross-system reconciliation
  • Collections chasing
  • Month-end close readiness

Recruiting operations

Records captured from the email and portals your team already uses.

  • Candidate and requisition matching
  • Activity records captured from email
  • Submission chasing
  • Missing records chased before the deadline

Logistics operations

Problems surfaced from the same inbox and portal traffic your coordinators read today.

  • Exception detection and routing
  • Shipment and document matching
  • Supplier chasing
  • Shipment status reconciled across systems

Experts

Need the people, not the project?

Five people in a working session around a table, one at the whiteboard.

We place the people who build this — embedded for a phase, or hired outright. Vetted against the bar we hold our own work to.

  • ML engineers

    Data pipelines, evaluation, and model choices that hold up in production.

  • AI product managers

    Scope what a model decides and what a person must.

  • Agent builders

    Agents that check before they act and hand the exceptions to a person.

  • Forward-deployed engineers

    Embedded with your team until the system runs on its own.

  • Domain experts

    Finance, recruiting, logistics — people who ran the function.

FAQ

The questions we actually get.

What happens on the discovery call?

30 minutes. You describe where the work piles up; we tell you whether it's a fit and what the first phase would look like. No deck.

How long until an agent is in production?

Typically six to eight weeks from the end of the audit. Faster when the data is clean, slower when it isn't.

What can agents actually do?

The work that piles up between systems: matching records, reconciling numbers, chasing what's missing, pulling data out of documents, and routing the odd case to a person. Running today in finance, recruiting, and logistics. If you don't have the engineers to build it, we place the people who do — embedded with your team until it runs on its own.

Will it work with our existing systems?

Yes. Nothing migrates. Agents run against what you already have.

How much of our team's time does this take?

Under 20 hours total across the engagement, mostly in the first two weeks.

How do you handle security?

Read-only access during the audit. The system runs in your cloud, under your controls. If you already have agreements with model providers, we use those.

Who owns what we build?

Your data, your integrations, and anything custom to your workflows are yours. The underlying platform stays ours — that's why deployment takes weeks instead of quarters.

How does pricing work?

A fixed fee for the deployment, a component tied to the outcome once it's running, and a monthly operating fee if you want us to keep running it. Scoped after the first conversation.

Book a call

Tell us where the work piles up.

30 minutes. We tell you whether it's a fit and what the first phase looks like. No deck.

Book a call