We embed AI into the workflows that consume time—extracting data, reconciling records, generating reports, and automating decisions.
Eight services already running in production. Open one to see what it reads, what it decides, and what it hands back.
Six programmes. Retail, EPC, operations, regulated software.
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Each one started as a single process somebody was doing by hand. The tags are the services carrying it today.
Five things that decide whether an AI programme survives its first audit, its first drift and its second year.
Built around your environment, your access rules and your deployment preference, so sensitive financial and operational data never leaves the boundary it already sits inside.
Finance, compliance and operations get the source, the confidence, the exception and the trail behind it — not a black-box recommendation to take on trust.
Production AI needs monitoring, tuning, release management and support. We stay close to the teams actually using the system.
The foundations that handle one store, one document type or one queue are the ones that scale across regions, brands and business units — there is no second system to buy when the first one works.
Patterns from reconciliation, documents, support, pricing and monitoring carry forward, so the second deployment costs less than the first and the fifth costs less again.
Pick the workflow that is slowest or most exception-heavy. We'll show what AI does to it.