MVP to production
The decisions and checks that connect a demonstration to daily use.
Read the delivery guideClient story / Other sectors
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
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
Data-flow assessment, AI-enabled reconciliation, discrepancy handling and reporting.
Human review, agreed ownership, escalation routes and knowledge transfer.
The business problem
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
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
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
The decisions and checks that connect a demonstration to daily use.
Read the delivery guideConnect time released to a business outcome and a credible baseline.
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Tell us about a similar challenge in your business. We’ll discuss the work involved and where Ignite could help.

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