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Finance · Scope to be defined during discovery

System for Checking Expense Claims Against Policy Exceptions

We design an AI system that reviews an expense form, receipt and company policy together with their source and recency details. The system prepares a draft of policy alignment and missing documents, but does not implement it as a final decision. If an expense falls outside the policy categories, the suggestion does not proceed; the manager and finance specialist make the final assessment.

Representative expense operations panel with a work queue, checks and an audit trail: expense policy exception queue
Expense policy exception queue Representative interface — contains no real data. Employee details are masked. The panel does not approve policy exceptions or process payments.

The problem

In day-to-day operations, expense forms, receipts and company policy arrive through different systems and files, preventing the team from reviewing the same case in one view.

As a result, the link to source evidence can be lost while a draft of policy alignment and missing documents is prepared, leading to repeated checks and uncertainty about the basis for the decision.

Incomplete automation may overlook a category outside policy, while incorrect automation risks an inappropriate reimbursement.

What we set out to improve

  • Time taken for the policy-alignment and missing-document draft to be ready for review
  • Correct routing of records involving a category outside policy to the appropriate specialist queue
  • Record of suggestions corrected or rejected by the manager and finance specialist

How the system works

  1. 01 Retrieve the expense form, receipt and company policy from authorised sources
  2. 02 Verify the source system, record identifier and recency information
  3. 03 Map the fields to the target process schema
  4. 04 Prepare the policy-alignment and missing-document draft
  5. 05 Compare the draft with business rules and source records
  6. 06 Check for an exception: a category outside policy
  7. 07 Have the manager and finance specialist approve, revise or reject the suggestion
  8. 08 Write the input, suggestion, changes and final decision to the audit log

Methods we used

  • Source-traceable data extraction for the expense form, receipt and company policy
  • Structured output that limits the policy-alignment and missing-document fields through business rules
  • An exception gate that separates cases involving a category outside policy
  • A queue that shows the manager and finance specialist the source evidence and suggestion together
  • Duplicate-processing controls and a reversal record to reduce the risk of an inappropriate reimbursement

Where people stay involved

The manager and finance specialist are the final decision-makers. The workflow pauses for a category outside policy and presents the case to the specialists with its supporting records. They can revise or reject the suggestion, or stop the process.

Data and security

Only fields required for the task are processed from the expense form, receipt and company policy. Source-system permissions are preserved, and personal or commercially sensitive data is minimised before being passed to the model. Every read, suggestion, human change and write to the target system is logged.

Who this suits

A good fit

  • Finance teams that perform repetitive reviews
  • Companies with defined ownership for sources and approvals
  • Organisations that want exceptions to remain under human supervision

Not a good fit

  • Operations where source data is not current
  • Operations where the decision owner and reversal process are not defined
  • Operations where the existing method is sufficient for the low volume

Frequently asked questions

What data is used?

The expense form, receipt and company policy are used. The exact connections, fields and retention limits are defined during the access review.

How are exceptions handled?

The workflow pauses for a category outside policy. The record is placed in the manager and finance specialist queue with its source evidence.

How is incorrect automation controlled?

Because of the risk of an inappropriate reimbursement, no final action is taken without human approval. The source, suggestion and human decision are recorded separately.

Project led by:DijitalPi

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