Industries
The constraints differ. So should the assessment.
A hospital and a logistics operator do not have the same problem, and they certainly do not have the same compliance position. Each industry below has its own assessment template — the questions that actually decide the architecture in that sector.
Financial Services
AI under the constraints regulators actually impose.
Banking, capital markets and fintech operate under explainability, retention and residency rules that shape the architecture before a line of code is written. We design for those first.
4 worked use cases
Insurance
Claims, underwriting and policy documents at volume.
Insurance runs on documents and risk models. Both are areas where AI pays back quickly — provided the audit trail holds up.
4 worked use cases
Construction & Engineering
Drawings, site safety and programme risk.
Construction data is visual and contractual. The wins are in reading drawings and specifications quickly, and in seeing site risk sooner.
4 worked use cases
Pharmaceuticals & Life Sciences
Regulated documents, validated systems.
Life sciences carries the heaviest validation burden of any sector we work in. Systems must be qualified, changes controlled and every output attributable.
4 worked use cases
Supply Chain & Logistics
Forecasting, exceptions and document flow.
Logistics generates enormous structured data and an equally large volume of paperwork. Both are addressable, and they need different techniques.
4 worked use cases
Airlines & Travel
Disruption, service load and dynamic pricing.
Travel demand is volatile and service load spikes precisely when systems are most stressed. Latency requirements here are unusually strict.
4 worked use cases
Energy & Natural Resources
Asset integrity, safety and remote operations.
Capital-intensive assets in remote locations, where unplanned downtime is the dominant cost and connectivity cannot be assumed.
4 worked use cases
Government & Public Sector
Sovereignty, transparency and public accountability.
Public sector deployments carry obligations commercial ones do not: citizens can ask how a decision was reached, and the answer has to exist.
4 worked use cases
Internet & Technology
Ship AI features without mortgaging your margin.
Software companies embedding AI face a different problem: not whether it works, but whether unit economics survive scale.
4 worked use cases
Retail & E-commerce
Search, recommendations and service at seasonal peak.
Retail AI is judged on conversion and on holding up during the few days a year that actually matter.
4 worked use cases
Manufacturing
Quality, maintenance and tribal knowledge.
Manufacturing wins come from seeing defects earlier, predicting failure before it happens, and capturing knowledge before it retires.
4 worked use cases
Healthcare
Clinical safety and patient privacy first.
Healthcare AI has the highest cost of error we work with. Architecture starts from PHI handling and the clinician's role in every decision.
4 worked use cases
Data Centre & Cloud Operations
Capacity, efficiency and incident response.
Our own domain. Data centre operations generate exactly the telemetry that predictive models need, and incident response is a retrieval problem.
4 worked use cases
Your sector not listed?
The assessment is not limited to these industries — the templates simply make the questions sharper where we have depth. Run it anyway.