Application evidence processing
Identify document types, check required items and prepare a reviewer’s case pack, with missing or unreadable evidence clearly marked.
Automation & integration
Intelligent document workflows
Move documents from receipt to review and action through a consistent process.
Built around a specific business need.
A document rarely finishes its journey when it arrives. Someone must identify it, check that it is complete, extract relevant information, obtain a decision and update a record. When those steps happen across inboxes and spreadsheets, a missing attachment or ambiguous value can delay an otherwise straightforward case.
Kent Consultancy would design a controlled route from document receipt to review and action. Depending on the material, that may combine text extraction, optical character recognition, classification and structured checks. The goal is to make document work traceable: what was received, what was interpreted, who checked it and what happened next.
Who this is for
- Operations teams receiving forms, supporting evidence or supplier paperwork.
- Organisations with manual document triage and approval queues.
- Process owners seeking structured information from varied document formats.
Where this can make a practical difference.
Supplier document intake
Capture selected information from incoming paperwork, compare it with existing supplier records and route discrepancies to the responsible colleague.
Controlled approval packs
Assemble documents, extracted values and validation results for an approver, then record the decision and pass authorised information to the next system.
How we approach the work.
Catalogue document variation
Review representative samples, including scans, different layouts and incomplete submissions. Define the fields required and distinguish essential evidence from information that should not be collected.
Design intake and identification
Agree approved submission routes, file checks, case identifiers and duplicate handling. Ensure each item can be traced back to its original source without exposing it unnecessarily.
Extract and validate
Choose suitable extraction methods and apply field-level checks. Compare dates, totals or reference numbers where meaningful, and preserve the source context needed for verification.
Build the review queue
Route uncertain, inconsistent or consequential findings to a person. Present extracted values alongside the relevant document context so reviewers can correct errors efficiently.
Complete and retain
Transfer approved information to the destination system, confirm the outcome and apply agreed retention rules. Keep the original, interpretation and approval history distinguishable.
The sequence is tailored to the agreed scope, dependencies and risk. It describes our delivery approach, not a fixed timeline or performance guarantee.
What the engagement can deliver.
- A document journey and review responsibility map.
- Document classification and field definitions.
- Configured intake, extraction and validation workflow.
- Human review and exception-handling procedures.
- Sample-based evaluation results and retention requirements.
The proposal identifies the deliverables, acceptance evidence, responsibilities and support arrangements included in your engagement.
Measure what matters to this workflow.
Field accuracy
Reviewed extracted fields that match the source document correctly.
Review turnaround
Elapsed time between document receipt and the required decision.
Exception visibility
Problem documents assigned to an owner with a clear reason.
These are measures to discuss and baseline. Targets are agreed for the specific system and data; no universal improvement percentage is assumed.
What to prepare for discovery.
- Representative documents with permission to use them in assessment.
- Agreed field definitions and examples of acceptable evidence.
- Named reviewers and rules for access, retention and final approval.
Questions worth asking.
Can it read scanned documents?
Text recognition may help, but scan quality, handwriting and layout affect results. Representative samples are needed to establish a suitable approach and review requirements.
Should a confidence score decide approval?
A score can assist routing, but it is not proof of correctness. Review rules should also consider field importance, validation failures and the consequences of an error.
Can extracted information update our records automatically?
For agreed low-risk fields, potentially. Consequential updates should follow defined validation and approval rules, and the system should confirm that the destination accepted the change.