Dhisana Ai
Dhisana AI is an autonomous sales engine focused on modern go-to-market teams. It combines large language models with a patent-pending cognitive architecture called Agentic Flows to automate account discovery, outreach, meeting prep, follow-up, and forecasting. Rather than acting as just another CRM add-on, it behaves like a 24/7 AI GTM team that drives pipeline, accelerates cycles, and supports revenue expansion across the entire funnel.
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Pricing
- Starter : $0 per month; includes managing up to 100 active leads per month, basic AI workflows, email and chat support, core CRM and email integrations, and a basic analytics dashboard.
- Professional : $49 per month; includes managing up to 1,000 active leads per month, unlimited seats, 500+ AI workflows across prospecting and sales processes, lead research and enrichment, email support, reporting, HubSpot integration, and pay-as-you-go expansion at $40 per additional 1,000 active leads per month.
- Enterprise : Custom pricing; includes custom active lead volumes based on GTM needs, a dedicated Forward Deployed Engineer, custom integrations, advanced security and compliance, and Salesforce integration.
Features
- Agentic Flows Cognitive Architecture: Patent-pending AI agents that plan, reason, and execute multi-step sales workflows with human-in-the-loop guardrails.
- Full-Funnel Revenue Automation: Pre-funnel research, top-of-funnel outreach, mid-funnel meeting intelligence, bottom-funnel deal coaching, and post-sale expansion signals in one platform.
- Adaptive Outreach & Intent Intelligence: Real-time monitoring of digital signals plus AI-crafted, context-aware outreach that adjusts timing, channel, and messaging.
- Meeting & Conversation Intelligence: Automated call briefs, live guidance for AEs, transcription, and extraction of risks, objections, sentiment, and next steps from every conversation.
- Autonomous CRM Layer: AI-native orchestration on top of systems like Salesforce and HubSpot, including lead-to-account matching, enrichment, routing, and unified semantic search across CRM and documents.
- Usage-Based AI Agents: Work is measured in Agent Work Units, so organizations pay for actual agent activity rather than idle seats.
Use cases
- B2B SaaS Startups: Using autonomous agents to build predictable outbound programs without hiring large SDR teams.
- Mid-Market GTM Teams: Coordinating SDR, AE, and CS motions inside one AI-driven revenue engine.
- Enterprise Sales Organizations: Augmenting complex account-based selling with intent signals, call intelligence, and deal coaching.
- RevOps and Sales Operations Teams: Automating enrichment, routing, and pipeline health monitoring while maintaining clean analytics.
- Customer Success Teams: Watching usage, renewal risk, and upsell signals so CSMs can focus on strategic conversations.
- Uncommon Use Cases: Private equity and VC firms tracking sales performance patterns across portfolios; product-led growth teams mining GTM insights to influence product and packaging decisions.