Client intake and follow-up
Classify inbound requests, missing documents, fit, urgency, and next steps. Draft staff follow-up while keeping human approval on client communication.
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Industries / 04
We deploy AI into the workflows behind financial services, advisory, and back-office operations.
Financial services teams already have the documents, rules, reviews, and approvals. The gap is operational: moving work through intake, review, reporting, and exceptions without losing control.
When this industry needs the engine treatment
- Client intake and KYC prep depend on manual document chasing and repeated staff review.
- Advisors ask the same policy, product, and client-history questions across disconnected files.
- Reporting, reconciliation, and exception review are too manual for the volume of data already available.
- Compliance risk rises when AI pilots bypass review paths instead of strengthening them.
How we deploy it, by engine
KYC and document review routing
Extract fields, compare against checklists, flag missing or inconsistent details, and route exceptions to the right reviewer.
Reconciliation and anomaly review
Match statements, transactions, reports, invoices, payouts, and internal records. Surface anomalies with source links before close.
Advisor and policy knowledge
Make product, policy, process, and client-history knowledge retrievable with citations so staff can answer faster without guessing.
On the ground
- Intake queues organized by missing item, urgency, owner, and next action.
- Document review accelerated without removing human approval.
- Advisor answers backed by source material instead of office folklore.
Industry diagnostic
Diagnose your financial workflow
We focus on one controlled workflow, define review paths up front, and deploy only where the risk and economics make sense.
Workflow map / eval harness / go-no-go