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
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
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
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
We automate the work around the decision, never the decision. What reaches a person is the exception, with the reasoning shown.
We run it in production until your team is ready to take it. No engineers? We embed ours until it runs on its own.
Your data, integrations, and workflows stay yours. The platform stays ours — that's why deployment takes weeks, not quarters.
Process
Read-only access. We map where the work actually happens and where it breaks
What gets handled by rule, what needs a model, what stays with a person
Running in your environment, on your systems, checked against examples your team has verified
We run it until your team is ready to take it. Or keep running it
Deployment
Matching and reconciliation across systems never built to talk to each other.
Records captured from the email and portals your team already uses.
Problems surfaced from the same inbox and portal traffic your coordinators read today.
Proof
Requisition matching, activity capture, and exception routing for a staffing operation.
Exception detection and status reconciliation across carrier and portal traffic.
Experts
We place the people who build this — embedded for a phase, or hired outright. Vetted against the bar we hold our own work to.
Data pipelines, evaluation, and model choices that hold up in production.
Scope what a model decides and what a person must.
Agents that check before they act and hand the exceptions to a person.
Embedded with your team until the system runs on its own.
Finance, recruiting, logistics — people who ran the function.
FAQ
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.
Typically six to eight weeks from the end of the audit. Faster when the data is clean, slower when it isn't.
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.
Yes. Nothing migrates. Agents run against what you already have.
Under 20 hours total across the engagement, mostly in the first two weeks.
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.
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.
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
30 minutes. We tell you whether it's a fit and what the first phase looks like. No deck.
Book a call