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See all consulting →Each one has its own regulators, data standards and operational context. Our teams have shipped in every single one.
See all industries →Healthcare carrier, USA — production in 18 weeks, .2M annual savings, 99.98% uptime.
Read case study →Client names and figures are covered by NDA on most engagements, so these are written by shape of problem: what existed, what was wrong with it, what we built, and what it took. Named references are available at proposal stage.
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Engagements
Drawn from real delivery across different industries and service lines.
The problem: an LOS, a pricing engine and a document vendor that each held a different view of the same file, reconciled by hand before every closing. What we did: built a contract-first integration layer with MISMO-aligned mapping, idempotent retries and automated reconciliation on every state change. Outcome: the manual pre-closing reconciliation step was retired, and discrepancies surfaced at the point they occurred rather than days later.
The problem: a successful single-tenant product that needed a separate deployment and an engineer for every new customer. What we did: re-architected toward tenant isolation, entitlement and self-service administration using a strangler pattern, migrating existing customers one at a time with rollback. Outcome: onboarding a new tenant became a configuration task rather than a project.
The problem: a business-critical application on an end-of-life runtime, no test coverage, and one person who understood the deployment. What we did: characterisation tests at the boundary, observability and pipeline first, then incremental extraction by business capability. Outcome: the runtime was brought back into support, releases moved from quarterly to weekly, and the key-person risk was closed.
The problem: crews carrying paper because the existing mobile client could not survive a shift without signal. What we did: an offline-first application with deterministic conflict resolution, photo and form capture, and a sync model designed around the shape of a working day. Outcome: paper left the standard job pack, and field-originated data errors fell because validation happened at the asset.
The problem: structured data trapped in scanned documents, with manual entry that could never catch up. What we did: an extraction pipeline with confidence scoring feeding a human review queue, plus an evaluation harness that measured precision against a labelled set before anything reached production. Outcome: reviewers worked a prioritised queue instead of a stack, with every automated suggestion auditable.
The problem: a business-critical system supported by two people, both leaving. What we did: a four-week assessment producing a risk register and runbook set, then a phased takeover into a 24×5 rota with defined service levels. Outcome: continuity held through the handover and the key-person risk closed before it became an incident.
“The interesting number is never the one in the case study. It is how long the thing kept working after we left.”
GNAPI delivery charterReferences
Much of our work sits inside systems our clients would rather not discuss publicly, so we are careful. Here is what is available at each stage.
We will walk through a comparable engagement in detail under NDA, including what went wrong.
