PACKAGED OFFER · IDP ACCELERATOR
Intelligent document processing implementation
The Intelligent Document Processing Accelerator is a fixed-scope build for one high-volume document type. In eight weeks, we configure capture, classification, extraction, validation and routing, with review thresholds set for the risk of the workflow. The final readout covers per-field accuracy, straight-through handling and the exceptions that still need a person.
- One document type automated from capture to system of record
- Extraction with confidence scoring on every field, tuned to your risk
- A running pipeline with a per-field accuracy and STP-rate report
A working pipeline evaluated on your documents.
How accurately can it read your fields? How much processes straight through without a human? Where should a person still check the work?
The accelerator answers those questions on an agreed document set, so the case for a wider programme rests on measured performance. Six deliverables come with it.
A working pipeline
For one document type: invoices, claims, applications, statements, or forms.
Capture and classification
Ingests PDFs, scans, and images and sorts them without manual routing.
Extraction with confidence
A confidence score on every field, so the system knows what it is sure of.
A validation layer
Checks extracted data against business rules and reference sources.
A human-in-the-loop queue
Low-confidence cases routed for review, with the threshold tuned to your risk appetite.
Integration and a report
Posting into your downstream system, with a per-field accuracy and STP-rate readout.
One document type, measured from capture to downstream action.
Teams with a measurable document-processing bottleneck.
For accounts payable buried in invoices, insurers keying claims, lenders processing applications, and operations chasing forms across inboxes.
Where people repeatedly transfer information from documents into operational systems, the accelerator measures which work can pass through and which cases still need review. It is a bounded entry point to our wider intelligent document processing practice.
Four phases, one pipeline, a measured straight-through rate.
Discover
Sample documents, define fields, and set accuracy and STP targets.
Build
Capture, classification, and extraction, developed on your real samples.
Validate
Business-rule checks, confidence tuning, and the human review queue.
Integrate and prove
Downstream posting, a live run, and the accuracy and STP readout.
Each phase builds on your real documents, so accuracy and straight-through rate are measured, not promised.
Evidence for a wider rollout.
Start with one document type. Review the measured result after eight weeks.
If the measured result supports expansion, the pipeline provides a starting point for our full intelligent document processing practice. Where documents feed a broader operational flow, we connect the work to Greenlight Operations.