Most operations teams still rekey data between portals, spreadsheets and core systems, and read the same document types hundreds of times a week. We automate that work end to end: extraction, validation, decisions on clear-cut cases and hand-off to a person when the system is unsure.
We start from the process, not the tool. Every automation is mapped against the current steps, volumes and exception rates, built with confidence thresholds and audit trails, and measured on straight-through rate and cycle time after go-live.
Intelligent Process Automation
We combine workflow engines, APIs and RPA bots where no API exists to run multi-step processes end to end. Business rules live in versioned configuration, so operations teams can change them without a rebuild.
Document AI & Extraction
We extract fields from claims forms, invoices, statements and identity documents using OCR and language models tuned on your document samples. Each field carries a confidence score, and low scores go to a review queue.
Human-in-the-Loop Review
We build the review screens where people check exceptions, correct fields and approve decisions. Their corrections feed back into extraction accuracy, and every action is logged for audit.
Process Discovery & Measurement
We map processes from system logs and shadowing, size volumes and exception rates, and set baselines before anything is built. After go-live you get dashboards for straight-through rate, cycle time and backlog.
Howanengagementruns
A typical Intelligent Automation engagement runs about 16 weeks from kick-off to a working, handed-over system.
1
Process mapping and baseline
We shadow the team, pull volumes and exception rates from system logs, and pick the process steps where automation pays back fastest.
2
Document sampling and rules
We collect a labelled sample of real documents, write down the business rules with process owners, and set confidence thresholds for automatic decisions.
3
Automation build
In two-week sprints we build extraction, validation, workflow and system integrations, plus the review queue, testing each release against the labelled sample.
4
Parallel run and scale-up
The automation processes live cases alongside the team. We tune thresholds, raise the straight-through rate step by step, and hand over runbooks and dashboards.
