Normal path
The case arrives complete. AI reads, extracts, and drafts, our checks confirm the work, and we deliver the output.
The output leaves with the record of how it was produced.
Five stations, one line
How we run your operation, case by case.
We prove the service on your cases, put a controlled scope live, and then run it day to day, exceptions included.
A fully digital operation
The right technology for each step.
Every step runs in software and leaves a record. On our side there is no manual back office and no legacy stack.
Four methods, one line
- AI agents
- Agentic AI for casework that takes several steps: gathering, chasing, investigating, and reconciling.
- AI models
- Reading, classifying, extracting, and drafting.
- Approved rules
- Deterministic code for work that must be exact: calculations, eligibility, postings, and permissions. Nothing that moves money runs on a model alone.
- Your team
- The decisions your institution reserves, on a package we prepare.
The four paths
Every case takes one of four paths.
Most cases take the normal path. The other three are where operations tend to break, so each has an owner and a rule.
Authority path
When a case needs a decision you reserve, we send the package to whoever holds the authority and record the wait as your dependency.
We prepare the package. Your approver decides.
A decision on the line
Failure path
When a system action fails or its result is unclear, an AI agent takes the case off the line and checks what reached your systems.
We never blindly repeat a payment or a record change after a failure. We reconcile what happened first.
A failed action, off the line
Change path
When a model, rule, procedure, or integration changes, we test the new version on representative cases. It goes live only after you approve it.
A completed case keeps the version that produced it.
A new version, in the same place
Run the work
We own the work, exceptions included.
Our AI agents resolve missing information, inconsistent records, and failed system actions within the limits you approve. Anything outside them goes to your team, with the evidence prepared.
Intake and triage
We receive each case from your channels, check the inputs, and classify it. A duplicate or out-of-scope case comes back with the reason.
- Case class
- Sets the procedure, the checks, and the service level
- Clock
- Starts when the case is complete
Exception management
An exception gets an owner, a reason code, and an age the moment it opens. We escalate by age and severity.
- Owner
- An AI agent or your team, from the start
- Reason code
- Shows which fixes remove the most rework
Decision handoff
An authority matrix sets which decisions are yours and who holds each. We prepare a package, record the answer, and resume the case.
- Decision package
- The facts, the evidence, and the policy points it turns on
Capacity and continuity
We size capacity to your volume.
We provision compute, model quotas, and fallbacks for your volume, case mix, hours, and languages, and review them monthly.
Peaks
Tell us about a month-end or a renewal season, and we provision for it in advance.
Hours and languages
Each service runs in the hours and languages your service schedule sets.
Fallbacks
If a model is unavailable, an approved fallback takes the step. If none can, the case goes to your team.
Quality
Sampling, an error taxonomy, and calibration with your reviewers keep the output to standard.
How we start
Start with a blueprint. Grow into an operation.
Each step ends in something you can check before the next one starts.
One service, four steps
- 01
Operations review
No charge. One conversation about the process, the volume, and what “done” looks like.
- 02
Service Blueprint
We define the scope, inputs, outputs, authority, and commercial model with you. It ends in a service you can contract.
- 03
Controlled deployment
We validate on normal and difficult cases and put a controlled scope live. You accept it against the agreed criteria.
- 04
Managed operation
We run the work day to day, review performance with you each month, and change nothing without your approval.
Your first operation
Bring us one operation.
Tell us the process, the volume, and what “done” looks like. We will come back with a scope, a deployment plan, and a proposal.