LLM Agents

Use your data with the AI provider you choose.

Vasat provides the application, data and integration foundation needed to build secure AI-powered solutions — without locking the organisation into a single model provider.

Provider Flexibility

Integrate with AI services such as Amazon Bedrock and Microsoft Foundry, including Azure OpenAI, without binding the application to a single provider.

Your Data, Your Context

Connect approved business data, documents and application services to create more relevant, organisation-specific AI experiences.

Infrastructure Ready

Use Vasat's cloud-ready, modular architecture, APIs, access controls and data integrations as the foundation for LLM-powered applications.

Secure by Default

Apply Vasat authentication and access controls to AI-powered features so only authorised users and services can access AI-driven functionality.

How it works

From trigger to outcome in one platform

01Approved data
02Application context
03LLM provider
04AI experience

Why it matters

Operational outcomes that compound

No provider lock-in

Keep AI integration at the platform layer so the organisation can switch or add LLM providers without rewriting the application or migrating data.

Data stays in your control

Connect AI models to the same data sources the organisation already manages, with existing access controls, audit logs and data-residency rules applied.

Auditable AI activity

Maintain logs of AI interactions alongside other application events, within the same platform the organisation already controls and audits.

Example uses

Seen in the field

Document intelligence

Internal business documents feed an AI assistant that answers staff questions. The same authentication and ACLs that protect the documents also protect the AI experience.

Spatial data analysis

A GMS application passes survey data and project context to a Bedrock-hosted model, generating an initial analysis that a reviewer then validates and approves.

Find out how Vasat supports AI-powered applications.

Tell the team about the AI provider you want to use, the data you need to connect and the user experience you are building.