Dhisana AI

Dhisana AI takes a governance-first approach to enterprise AI. Rather than dropping a generic assistant onto fragmented data, it builds a living decision context for each case from enterprise records, market signals, activity, conversations, relationships and business rules. From that context it identifies meaningful changes and opportunities, prioritises them using urgency, business impact and risk, and presents a clear recommendation with the rationale behind it. The final step is action: recommendations are routed into workflows, approvals, system updates and customer engagement with permissions and auditability intact.

A distinguishing capability is custom decision modelling. Dhisana can train custom models on open-weight foundations using synthetic examples derived from your own business criteria—no historical training dataset required to get started. Those models produce scores, classifications and routing decisions that agents can act on, and both training and inference can run inside your own infrastructure, so proprietary data and decision logic never need to pass through frontier-model APIs.

The platform is aimed at regulated and complex environments. Banking and financial services agents prepare relationship and client briefs, surface missing documents and next steps in lending workflows, and bring portfolio changes and renewal evidence to credit teams for review. Revenue agents connect account history and conversations to prioritise opportunities, prepare meeting briefs and coordinate approved CRM updates. Industry agents are configured per domain. Dhisana supports SSO, role-based access, audit logging and policy-controlled actions, and can be deployed in your cloud or a dedicated hosted instance.