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Industries

AI solutions by industry

AI is deployed very differently by sector. What changes is not the underlying technology but the constraints around it — regulation, data quality, integration debt and where the expensive human hours actually sit. These ten pages set out what is genuinely working in each sector today, and what shapes the build.
Sectors

The sectors we publish on

  • Healthcare

    Where AI is actually deployed in healthcare today — documentation, triage, imaging, operations — and the regulatory limits that shape what you build.

  • Fintech

    Fraud detection, credit decisioning, KYC automation and customer operations — built with the explainability and audit trails financial regulators require.

  • Retail & E-commerce

    Demand forecasting, personalisation, content generation and support automation — the applications that move margin rather than just impressing in demos.

  • Manufacturing

    Visual inspection, predictive maintenance, demand planning and process optimisation — with honest assessment of whether your data and imaging support them.

  • Real Estate

    Lead qualification, document processing, valuation support and tenant operations — the applications that actually shorten property transaction cycles.

  • Education

    Content generation, assessment support, administrative automation and learner analytics — with the safeguarding and data rules that govern student data.

  • Logistics & Supply Chain

    Demand forecasting, route optimisation, document automation and exception handling — including honest advice on when the answer is optimisation, not AI.

  • Travel & Hospitality

    Booking assistance, guest communication, revenue forecasting and review analysis — plus why AI search is reshaping how travel gets discovered.

  • Media & Entertainment

    Content operations, archive search, localisation and audience analytics — with clear-eyed treatment of rights, licensing and provenance.

  • Legal & Professional Services

    Document review, research, drafting and knowledge retrieval — built with the verification and confidentiality controls professional practice requires.

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Tell us what you're trying to build.

Start with a discovery call, or the scoped AI readiness audit if you want a defined first step.