Case study · ICD

From Manual Invoice Reconciliation to 70% Automated

How we helped ICD replace a heavily manual reconciliation process with automated workflows and integrated data processing, ready for AI.

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01The challenge

A Reconciliation Process That Relied on People, not Systems

ICD’s invoice reconciliation process was heavily manual and inefficient. Matching invoices took significant time and effort, with little automation to support the team.

02What we did

Automated Workflows and Integrated Data

We implemented workflow automation and integrated data processing systems, so invoice data flows through the process automatically instead of being handled by hand.

  • Automated the invoice reconciliation workflow
  • Integrated data processing across systems
  • Built a foundation ready for future AI integration
03The results
Around 70% AutomatedUp from no automation at the start
Less Manual EffortTime freed up for higher-value work
Ready for AIA process and data foundation prepared for what’s next

The impact

Before0%
After~70%

of the invoice reconciliation process now runs automatically.

What made it work

Workflow AutomationRepetitive reconciliation steps handled automatically
Integrated DataInvoice data flowing between systems without re-keying
Less Manual EffortThe team freed up to focus on exceptions and decisions
AI-Ready FoundationsClean, connected data prepared for future AI integration

Facing a similar challenge?

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