Home·Sectors

The platform is sector-agnostic. The conversation isn't.

Ajutant runs in any regulated organisation's own Azure tenant. What changes by sector is the concern your buyers raise first: the regulator, the data boundary, the audit trail.

Here is how that conversation tends to go, sector by sector.

·Construction

Large construction firms run AI conversations across health and safety policy, contract review, regulatory reporting, and operational support. Their boards want AI; their IT teams are usually small relative to firm size. Ajutant deploys without a specialist AI team, scales across multiple use cases, and provides the governance evidence that regulated public-sector contracting requires.

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·Energy

Energy firms operate under sector-specific regulatory regimes (Ofgem in the UK, equivalent bodies internationally) and process commercially sensitive operational data continuously. AI deployment in this sector has been slow because data sovereignty concerns conflict with the dominant AI vendor model. Ajutant runs in the customer's own Azure tenant so data never leaves the regulatory boundary.

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·Financial services

Financial services firms face the most rigorous procurement and risk-review processes of any sector. Their AI conversations are usually blocked at the data-residency, audit, and model-explainability stages rather than at the use-case stage. Ajutant addresses these specific concerns architecturally rather than contractually: in-tenant deployment, comprehensive audit logs, multi-model routing for explainability where required.

Talk to us about your sector

Working in one of these sectors? Let's talk specifics.

We'll start with the concern your sector raises first, the regulator, the data boundary, the audit trail, and show you how Ajutant handles it inside your own tenant.

Book a 30-minute discovery call →