What we actually did
Including, in several of these, the part where we told the client that a chunk of their original plan was not going to work.
Cutting diagnostic turnaround for a national healthcare provider
Diagnostic reads were queuing unevenly across sites. Urgent cases waited behind routine ones simply because of arrival order, and turnaround varied widely depending on which facility a scan landed in.
Read the case studyRetailRebuilding the analytics layer for a national retailer
Three teams reported three different revenue numbers, and every leadership meeting started with an argument about whose figure was right. Nobody trusted the dashboards, so nobody used them.
Read the case studyFinancial ServicesAutomating risk assessment at an investment firm
Analysts spent much of their week extracting the same fields from the same document types by hand, then re-keying them into a risk model. It was slow, expensive, and inconsistently done.
Read the case studyManufacturingMigrating legacy manufacturing systems to the cloud
Ageing on-premise systems in facilities across three continents, with inconsistent uptime and a hardware refresh bill that had become impossible to defend.
Read the case studyFinancial ServicesBuilding an automated trading platform with real risk controls
Strategies existed in spreadsheets and analysts' heads, executed manually and inconsistently. Nobody could reconstruct why a given trade had been placed.
Read the case studyReal EstateEnd-to-end automation for a national real estate company
Deals stalled in handoffs. A document sat unsigned, a viewing went unscheduled, a follow-up was never sent — and nobody found out until the client complained.
Read the case studyHave a problem shaped like one of these?
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