Client story / Other sectors

Faster checks. Less time reviewing cases.

Manual checks were slowing the team down. We connected AI-supported validation to its existing workflow, helping people review cases faster and focus on the exceptions.

The results

More capacity. Less time spent checking.

20 minutes → 2–3 minutes

review time per job

20×

processing capacity: from 250 to 5,000 jobs per week

93%

reduction in dispute costs

Results from this client engagement. Human review remained part of the workflow.

Delivery stage: implemented reconciliation workflows

The work

Data-flow assessment, AI-enabled reconciliation, discrepancy handling and reporting.

The controls

Human review, agreed ownership, escalation routes and knowledge transfer.

The business problem

Too much effort reconciling information.

Inconsistent records and spreadsheet-based checks made it difficult to trust operational information. Manual review constrained the team and created reliance on individual knowledge.

Ignite’s role

Connect the data, the workflow and the decisions.

Ignite assessed the data landscape and designed reconciliation capabilities that integrated with existing workflows. Cloud-based AI supported classification, summarisation and validation, with people retained in the review process.

The work also addressed reporting, data ownership, escalation and knowledge transfer so the capability could sit within an operating process.

Delivery and next stage

Implementation first. Wider change by agreement.

The engagement progressed from assessment into implemented reconciliation workflows. It demonstrates integration and human-controlled exception handling, rather than an isolated demonstration.

The implemented workflow increased the team’s capacity while keeping people involved in review and exception handling. Further governance and roadmap work followed as a separate next stage.

Related thinking

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