Dhisana AI
Dhisana AI · Productivity · Business
Dhisana AI is an enterprise decision intelligence platform powered by governed AI agents. It turns enterprise data and business signals into clear recommendations and auditable actions.
About Dhisana AI
What Is Dhisana AI
Dhisana AI is a decision intelligence platform built for enterprises that need their AI to do more than answer questions. It connects operational, financial, customer, market and proprietary data into one view of each decision, detects the signals that matter, and hands users a recommendation with the reasoning behind it. A governance layer sits on top: approvals, permissions, audit logging and human judgment stay in the loop before anything changes in a system of record.
The problem it targets is the distance between raw enterprise data and the next best action. Banks, revenue teams and operations groups already hold the evidence they need, but it's scattered across CRM records, documents, conversations and market feeds. Dhisana puts that context in one place and routes it toward a decision, so teams spend less time assembling facts and more time acting on them.
The main catch is access. Dhisana is aimed squarely at enterprises: pricing is custom, there's no self serve sign up, and using it means a rollout scoped to your data, integrations and governance rules. It's built on Microsoft Azure and holds ISO/IEC 27001:2022 and SOC 2 Type II credentials, which signals a serious security posture but also a longer path to first use.
Getting Started
- Start with one decision or workflow that has a measurable business outcome, along with an executive sponsor and a workflow owner.
- Map the systems, data sources, permissions and approval paths the agent will need, including your CRM, data warehouse and internal knowledge.
- Connect those sources and configure your business rules, role based access and human approval steps.
- Deploy the agent in your own cloud or a dedicated hosted instance, with oversight and operating controls in place.
- Review the recommendations and actions, measure the outcome, then expand to more teams through reusable Agentic Flows.
Product Information
A quick look at Dhisana AI's pricing, supported platforms, and performance.
Best for
The users, tasks, and scenarios where this tool fits best.
Users
- Revenue and account teams
- Bankers and financial services staff
- Operations and service teams
- Business and technology leaders
Tasks
- Preparing for a customer meeting
- Coordinating lending follow through
- Prioritizing opportunities and cases
- Reviewing portfolio and credit evidence
Scenarios
- A revenue team wants consistent meeting prep across many accounts without manual research.
- A bank needs governed agents that respect role based access and audit requirements.
- An enterprise wants to start with a single high value workflow and expand once it proves out.
Key features
Unified Decision Context
Dhisana builds a living decision context from enterprise records, market data, activity, conversations, relationships and your business rules. Instead of pulling from a dozen tabs, users see one trusted view of the decision in front of them, which is where the platform's accuracy starts.
Signals That Matter
The platform detects changes, needs, risks and opportunities across accounts without burying teams in alerts. Filtering matters here: a tool that flags everything is as useless as one that flags nothing, and the design leans toward surfacing what a team can act on.
Explainable Recommendations
Rather than a bare answer, Dhisana pairs each recommendation with the reasoning behind it. Users see the evidence and the rationale, which supports decisions that need a defensible trail instead of a black box output.
Governed Action
Recommendations move into governed workflows with approvals, permissions, auditability and human judgment. This is the difference between advice and execution: agents can prepare, route and coordinate updates, but people stay accountable for the material actions.
Enterprise Security and Compliance
Dhisana runs on Microsoft Azure and reports ISO/IEC 27001:2022 certification, SOC 2 Type II audit and GDPR alignment, with encryption in transit and at rest. For a platform that touches financial and customer data, these credentials are part of the buying decision, not a footnote.
Flexible Deployment and Integrations
It works alongside existing systems, connecting CRM, data warehouses, internal knowledge, engagement platforms and collaboration tools. SSO, role based access and audit logging are supported, and it can run in your cloud or a dedicated hosted instance. Custom agents start with one workflow and expand through reusable Agentic Flows.
Pros and cons
Pros
- Ties recommendations to the evidence behind them, so users can see why a decision was suggested.
- Keeps humans accountable through approvals, permissions and audit trails rather than automating high stakes actions.
- Fits existing enterprise stacks by connecting CRM, warehouses and internal knowledge instead of replacing them.
- Backed by recognized security credentials, including ISO 27001 and SOC 2 Type II, on Microsoft Azure.
- Supports revenue, financial services and custom industry workflows on one platform, so coverage grows with the rollout.
Cons
- There's no free or self serve tier, so evaluating it means a sales conversation and a scoped deployment.
- It's built for enterprises, which puts it out of reach for individuals and small teams.
- Value depends on connecting your data and defining business rules, so setup and governance work falls on your side.
- Because actions route through approvals, the platform adds process rather than removing it, which slower teams may feel.
Frequently asked questions
Dhisana AI is an enterprise decision intelligence platform powered by governed AI agents. It brings enterprise data, business signals and operating rules together so users can understand what matters, make a decision and take the next best action with human oversight.
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