AI Consulting by Industry
Regulated industries where an AI system has to be defensible as well as accurate.
Healthcare
Clinical AI, medical imaging and document intelligence with GDPR, EU AI Act and MDR/IVDR awareness, validation across patient subgroups, and traceability built in from day one.
Manufacturing
Computer vision quality inspection, predictive maintenance and process anomaly detection, scoped around brownfield plants where the machine data lives in controllers rather than business systems.
Financial Services
Document intelligence, risk analytics and compliance automation, with model risk governance and data residency treated as architecture decisions rather than later reviews.
Legal
Contract and NDA analysis and compliance monitoring, deployed inside a boundary the firm controls so client confidentiality is a design constraint rather than a policy hope.
Government
Document processing and citizen services with on-premise or sovereign deployment, and the EU AI Act prohibitions that apply specifically to public authorities.
Which industries does Sitnik AI work in?
Sitnik AI works with regulated industries where an AI system has to be defensible as well as accurate: healthcare and manufacturing as the two primary practices, with further work in financial services, legal services, and the public sector.
The common thread is not the technology, it is the constraint. In each of these sectors the data is sensitive, the decision affects someone, and the system has to be explainable to a regulator, an auditor or a works council. That shapes the architecture from the first week rather than being reviewed at the end.
Where an industry is not listed, the question is usually whether your constraints resemble one of these. A process that repeats often, produces measurable outcomes, and carries regulatory exposure is familiar ground regardless of the sector name.
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