Rebuilding dispatch for a regional logistics operator
Replacing a spreadsheet-and-phone dispatch process with a routing platform that plans a day's work in minutes instead of hours.
Read the case study →Financial Services
Cutting a lending onboarding flow from days to minutes
An orchestrated onboarding pipeline that automates document handling and routes only genuine edge cases to a human reviewer.
The challenge
A lending team processed applications through a chain of email, shared drives and three disconnected systems. Applicants waited days for a decision, staff re-keyed the same data repeatedly, and the audit trail had to be reconstructed by hand whenever a regulator asked.
What we did
- Modelled the full application lifecycle as an explicit state machine, which surfaced several undocumented paths the team had been handling informally.
- Automated document intake with OCR and structured extraction, holding low-confidence results for review rather than guessing.
- Built a risk-scoring service with every input, version and decision logged immutably.
- Gave reviewers a queue that shows only what genuinely needs a person.
What changed
- Straightforward applications now clear without manual handling.
- Reviewers spend their time on genuine edge cases instead of data entry.
- Audit evidence is produced on demand rather than assembled after the fact.
Stack: Python · FastAPI · PostgreSQL · Temporal · Azure · Kubernetes
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