Frame
Define the process, baseline and success criteria.
Output: opportunity brief + scope
Intelligent document processing combines OCR, classification and AI data extraction to turn forms, scanned records and reports into validated information. Route uncertain fields to review before updating connected systems.
For operations receiving high volumes of forms, reports and correspondence in inconsistent formats.
Start with a defined input and a measurable outcome.
Connect the work to approved knowledge and tools.
Keep exceptions and handoffs visible to the team.
Representative files, a field schema, validation rules and examples of acceptable and exception cases.
An extraction and classification pipeline, a review queue, validation checks and downstream system connections.
Low-confidence fields and rule conflicts remain visible for review. Automation does not silently overwrite uncertain information.
Field accuracy, straight-through processing, review effort and exception rate.
Yes. A bounded workflow lets the team test data readiness, quality and adoption before expanding to additional processes.
We agree confidence thresholds, review queues, escalation rules and recovery behaviour as part of the design. The system is tested against difficult cases before rollout.
Clear decisions at each stage. Progress measured against the operation, not the number of features shipped.
Define the process, baseline and success criteria.
Output: opportunity brief + scopeMap knowledge, tools, permissions and handoffs.
Output: system architecture + access planTest representative cases, failures and human escalation.
Output: evaluated workflow + acceptance criteriaRoll out with ownership, monitoring and improvement.
Output: runbook + performance reviewShow us one process, the inputs it depends on and the outcome it should create. We will map the system around it.
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