# Dhisana AI

According to OpenAITools.app telemetry verified on 2026-11-11, Dhisana AI (dhisana.ai) is an AI platform indexed under AI Agent generating 1.66K monthly visits with a month-over-month traffic delta of -862 (-34.2%). Its primary geographic market is United States (100% traffic share), and it operates on a Contact for Pricing pricing model. Top competing alternatives by monthly volume include Salesforce Agentforce (formerly Einstein) (111.91M visits/mo), Rox (60.54K visits/mo), Clay (1.27M visits/mo).

Enterprise decision intelligence powered by governed AI agents built on your own data and rules.

## Key Telemetry & Specifications

| Metric | Value |
| :--- | :--- |
| Tool Name | Dhisana AI |
| Handle | dhisana-ai |
| Status | active |
| Origin | independent |
| Maintenance | active |
| Official Domain | dhisana.ai |
| Website URL | https://www.dhisana.ai |
| Categories | AI Agent, AI Sales Assistant, AI Sales, AI Lead Generation, AI Meeting Assistant |
| Pricing Model | Contact for Pricing |
| Monthly Visits | 1,660 |
| MoM Traffic Change | -862 |
| MoM Growth Rate | -34.2% |
| Primary Market | United States |
| Market Share | 100% |
| Direct Visits | 652 |
| Organic Search Visits | — |
| Social Visits | — |
| Referral Visits | 172 |
| Email Visits | 61 |
| Review Score | 4 |
| Saved Count | 0 |
| Supported Platforms | Website |
| Billing Platforms |  |
| Attributes | Features: Website; Pricing: Freemium; Pricing: Free Trial; Pricing: Paid; Pricing: Contact for Pricing |
| Tags | AI Automation, Intelligent Automation, Revenue Operations, Sales Automation, CRM, Lead Generation, Sales Productivity, Workflow Automation, Account Discovery, Lead Prioritization, Adaptive Outreach, Meeting Intelligence, Conversation Insights, Intent Intelligence, Deal Acceleration, Revenue Forecasting, Customer Success, Predictive AI, Go-to-Market (GTM) Tech Stack |

## Overview

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.

## Pricing & Plans

Dhisana AI uses enterprise pricing: plans are structured around the workflows, usage volume and deployment model an organisation requires. There is no published per-seat or self-serve tier—deployments typically begin with one prioritised workflow and a defined business case, then expand through reusable agentic flows. Interested teams request a demo or a scoping conversation with the Dhisana team.

## Key Features & Capabilities

- **Unified decision context:** Combines enterprise records, market data, documents, relationships, activity and business rules into one trusted view of each decision.
- **Signals that matter:** Surfaces the changes, risks and opportunities relevant to your domain without flooding teams with more alerts.
- **Prioritisation and explainable recommendations:** Ranks cases and opportunities by urgency, impact and risk, then gives a clear recommendation with the reasoning behind it.
- **Governed action with approvals:** Moves recommendations into approvals, permissions, system updates and team coordination, with audit trails and human sign-off.
- **Custom decision models on your criteria:** Adapts open-weight models to your business criteria as scores, classifications and routing decisions, runnable inside your own infrastructure.
- **Outcome learning:** Measures which signals, recommendations and actions produced results, so prioritisation keeps improving over time.

## Primary Use Cases

- **Prioritise and route revenue opportunities (Revenue operations leader):** Connect account history, conversations and buying signals to prioritise opportunities, prepare meeting briefs and coordinate approved CRM updates while ownership stays with the rep.
- **Support lending and portfolio decisions (Banking or financial services team):** Prepare client and relationship briefs, surface missing documents in lending workflows, and bring portfolio changes and renewal evidence to credit teams for review.
- **Route operational exceptions (Operations or service manager):** Bring case context together, prioritise exceptions and route next steps to the right people with approvals and an audit trail.
- **Build a custom decision model (Data or AI governance team):** Adapt open-weight models to your own criteria for scoring, classification and routing, deployed inside your infrastructure with your IP under your control.

## Strengths

- Governance is designed in: role-based access, approvals, auditability and human oversight for material actions
- Custom decision models can be trained on open-weight foundations with your own criteria, even without historical datasets
- Deployment can run inside your own infrastructure, keeping proprietary data off third-party model APIs
- Covers multiple domains—revenue, financial services and industry-specific workflows—on one platform

## Limitations

- Pricing is enterprise-quote based, so there is no public self-serve plan or instant sign-up
- Value depends on connecting proprietary enterprise data and defining governance, which requires an implementation effort
- Positioned for regulated enterprises and financial services, so very small teams may find it heavyweight
- Some agents are necessarily scoped to the customer's available data, integrations and rules rather than being plug-and-play

## Frequently Asked Questions

### What is Dhisana AI?
Dhisana AI is an enterprise decision intelligence platform built on governed AI agents. It brings enterprise data, business signals and operating rules together so teams can understand what matters, get a clear recommendation with reasoning, and take the next action inside their existing systems.

### Can I use my own data and models?
Yes. Custom decision models can be trained on open-weight models using synthetic examples built from your business criteria, so no historical training dataset is required to start. Training and inference can run inside your own infrastructure, keeping proprietary data and decision logic off frontier-model APIs.

### How does Dhisana integrate with our stack?
Dhisana is designed to sit alongside existing systems. It connects CRM, data warehouses, internal knowledge, engagement and collaboration tools, and proprietary systems; supports SSO, role-based access and audit logging; and can be deployed in your cloud or a dedicated hosted instance.

### How is Dhisana priced?
Pricing is structured around the workflows, usage and deployment model your organisation needs. Teams typically start with one prioritised workflow and a defined business case, then expand across teams and use cases.

### Does Dhisana keep humans in control?
Yes. Agents support human approval, role-based permissions, auditability and policy-controlled actions, so material decisions and actions stay with authorised people while agents handle research, preparation and routing.

### What is Dhisana AI's monthly traffic and growth trend?
Dhisana AI currently receives 1.66K monthly visits, with a month-over-month traffic change of -862 (-34.2% growth rate). Its primary source market is United States (100% share), including 652 direct visits/mo and — organic search visits/mo.

### Is Dhisana AI free? What is its pricing model?
Dhisana AI operates on a Contact for Pricing pricing model. Dhisana AI uses enterprise pricing: plans are structured around the workflows, usage volume and deployment model an organisation requires. There is no published per-seat or self-serve tier—deployments typically begin with one prioritised workflow and a defined business case, then expand through reusable agentic flows. Interested teams request a demo or a scoping conversation with the Dhisana team. Supported billing and checkout platforms include: not listed.

### What are the best Dhisana AI alternatives in 2026?
Based on OpenAITools.app category traffic and feature fit, the top five alternatives to Dhisana AI are: 1. Salesforce Agentforce (formerly Einstein) (111.91M visits/mo); 2. Rox (60.54K visits/mo); 3. Clay (1.27M visits/mo); 4. Bika.ai (27.43K visits/mo); 5. Outreach (958.6K visits/mo).

### Which platforms and core AI capabilities does Dhisana AI support?
Dhisana AI is classified under AI Agent, AI Sales Assistant, AI Sales, AI Lead Generation, supports the following platforms: Website, and its core capability tags include: AI Automation, Intelligent Automation, Revenue Operations, Sales Automation, CRM, Lead Generation.

## Alternatives

| Tool Name | Monthly Visits | Pricing Model | Compare |
| :--- | :--- | :--- | :--- |
| [Salesforce Agentforce (formerly Einstein)](https://openaitools.app/tool/salesforce-einstein) | 111,910,743 | Freemium | [Compare](https://openaitools.app/compare/dhisana-ai-vs-salesforce-einstein) |
| [Rox](https://openaitools.app/tool/rox) | 60,539 | Freemium, Paid, Contact for Pricing | [Compare](https://openaitools.app/compare/dhisana-ai-vs-rox) |
| [Clay](https://openaitools.app/tool/clay-2-0) | 1,267,465 | Freemium, Free Trial, Contact for Pricing | [Compare](https://openaitools.app/compare/clay-2-0-vs-dhisana-ai) |
| [Bika.ai](https://openaitools.app/tool/bika-ai) | 27,429 | Freemium | [Compare](https://openaitools.app/compare/bika-ai-vs-dhisana-ai) |
| [Outreach](https://openaitools.app/tool/outreach) | 958,599 | Contact for Pricing | [Compare](https://openaitools.app/compare/dhisana-ai-vs-outreach) |
| [Claap 2.0](https://openaitools.app/tool/claap-2-0) | 135,964 | Freemium, Free Trial, Contact for Pricing | [Compare](https://openaitools.app/compare/claap-2-0-vs-dhisana-ai) |
| [Jeeva.ai](https://openaitools.app/tool/jeeva-ai) | 8,408 | Freemium, Free Trial, Contact for Pricing | [Compare](https://openaitools.app/compare/dhisana-ai-vs-jeeva-ai) |
| [Delos Workers](https://openaitools.app/tool/delos-workers) | 90,525 | Free Trial, Paid, Contact for Pricing | [Compare](https://openaitools.app/compare/delos-workers-vs-dhisana-ai) |
| [Oliv AI](https://openaitools.app/tool/oliv-ai-your-sales-companion) | 15,985 | Role-Based Plans (Free Tier Available) | [Compare](https://openaitools.app/compare/dhisana-ai-vs-oliv-ai-your-sales-companion) |
| [Clodura.AI](https://openaitools.app/tool/clodura-ai) | 48,655 | Free Trial, Contact for Pricing | [Compare](https://openaitools.app/compare/clodura-ai-vs-dhisana-ai) |
| [GPTBots.ai](https://openaitools.app/tool/gptbots-ai) | 78,362 | Contact for Pricing | [Compare](https://openaitools.app/compare/dhisana-ai-vs-gptbots-ai) |
| [SureThing](https://openaitools.app/tool/surething) | 63,170 | Freemium | [Compare](https://openaitools.app/compare/dhisana-ai-vs-surething) |

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Source: https://openaitools.app/tool/dhisana-ai