Case Studies

Real results cutting manual workload, speeding workflows.

Financial Services

Manual reporting, reconciliations and approvals slowing decision-making in a regulated environment
→ 30–40% reduction in manual operational workload through AI-driven process automation

SME / Services company

Teams spending more time coordinating and validating work than executing
→ Clear process ownership, simplified workflows, and faster execution through operating model redesign.

Fast-growing scale-up

Rapid growth creating process fragmentation, decision bottlenecks, and operational overload
→ Streamlined processes and AI embedded into core workflows to support scalable growth

Financial Services

Multiple AI initiatives running in parallel without shared governance or risk framework
→ Structured AI governance enabling compliant, scalable AI deployment

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B2B SaaS / Tech Company

AI opportunities identified but no clear roadmap from experimentation to production
→ Prioritised AI use cases and production-ready integration aligned with product strategy

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Cross-industry Executive Teams

AI seen as strategic but unclear where it creates real, measurable business value
→ Clear AI prioritisation focused on operational impact, cost reduction, and decision support

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