About Dhisana AI
Dhisana AI delivers intelligent automation across the entire revenue funnel, fusing predictable business workflows with autonomous AI Agents to turn complex processes into self-driving, always-on operations under your control. From prospecting to post-sale success, Dhisana AI gives your revenue teams intelligent agents to automate workflows and drive growth. It aims to increase sales productivity by 10x, achieve a +38% engagement lift, save 10+ hours weekly, and accelerate deal cycles by +25%. Dhisana AI transforms CRMs from a System of Record into a System of Intelligence, surfacing intent, context, and next-best actions in real time, powered by patent-pending cognitive architecture.
How to Use
Users can start by signing up for a free trial to instantly access and launch their first Agentic Flow within minutes, utilizing self-serve onboarding and ready-to-use templates. For enterprise customers, a paid pilot program is available, including integration support and custom Agentic Flow design and implementation services. The platform allows teams to leverage AI agents to automate tasks across the entire revenue journey, from account discovery and lead prioritization to adaptive outreach, meeting intelligence, deal acceleration, and revenue forecasting.
Dhisana AI's
Key Features
- Intelligent Automation for Revenue Teams
- Agentic Flows for Self-Driving Workflows
- Account Discovery and Lead Prioritization
- Adaptive and Personalized Outreach
- Meeting and Conversation Intelligence
- Intent Intelligence and Deal Acceleration
- Deep Research and Revenue Forecasting
Use Cases
- SDRs can instantly research target accounts, generate hyper-personalized cold emails, and score responses in real time.
- Account Executives can automatically build meeting briefs, receive live call coaching, and track next steps through to close.
- Sales Managers can aggregate pipeline risk signals, flag stalled deals, and automate follow-up tasks.
- RevOps professionals can automate lead-to-account matching, data enrichment, and maintain clean, analytics-ready data.
- Customer Success Managers can monitor product usage, predict churn risk, and automatically send renewal and upsell reminders.
- CROs can forecast upside and downside with AI-driven confidence scores and uncover growth levers in real time.
Key Features
Pros & Cons
- Achieves 95%+ task completion rate, far exceeding generic AI baselines
- Reduces token usage by up to 70%, lowering operational costs
- Rapid deployment – go live in 14 days with prebuilt templates and dedicated support
- Strong security model with sandboxed agents and secure Key Vault access
- Team collaboration via shareable agent workflows that capture top performers' methods
- Deep data intelligence layer integrates CRM, intent, product, and external signals
- Requires integration with existing CRM and data sources, which may involve setup effort
- Designed primarily for revenue teams; may be overkill for very small businesses
- Pricing not publicly listed – enterprise-focused tiers may be expensive for smaller teams
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