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.

Key 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.

Pros

• True GTM Coverage: Handles everything from prospecting to renewals, reducing the need for multiple point tools.
• Meaningful Productivity Gains: Reported lifts in engagement and time saved weekly make it attractive for lean revenue teams.
• AI-Native Design: Built around autonomous agents from day one, rather than bolt-on AI features retrofitted to legacy CRM.
• High Integration Surface: 100+ integrations and API options help Dhisana AI slot into existing stacks.
• Flexible Consumption Model: Usage-based pricing ties spend directly to how much AI work is performed.

Cons

• Pricing Opacity: No public per-month or per-unit dollar figures, which can slow quick budget comparisons.
• Complexity For Smaller Teams: The breadth of capabilities may feel heavy for very simple or early-stage sales motions.
• Data Access Requirements: To unlock full value, Dhisana AI needs deep access to CRM and communication data, raising governance work for security-conscious organizations.

Who Uses It

• 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.

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.