Sybill

Ask Sybill allows users to ask natural, ChatGPT-like questions across deals, accounts, reps, calls, emails, and CRM data. Instead of searching through dashboards or transcripts, users can query deal health, risks, blockers, and next steps in plain language and receive contextual answers grounded in live sales data.

Sybill features as a single agentic AI assistant that executes sales tasks autonomously rather than waiting for prompts. It handles follow-ups, CRM updates, meeting scheduling, and task execution in sequence, using shared context across workflows. This approach keeps activities connected and aligned without managing multiple disconnected agents.

Sybill automatically fills CRM fields, including MEDDPICC, BANT, and custom fields, by learning from sales conversations and activity. It keeps CRM records clean, complete, and up to date without manual input, supporting consistent data quality across teams as deal volume and pipeline complexity increase.

The platform captures and connects information from calls, emails, Slack, and CRM systems to provide real-time visibility into deal progress. It helps users identify risks, blockers, engagement gaps, and momentum across individual deals and the broader pipeline, supporting mid-deal execution and informed decision-making.

Sybill can generate sales-ready assets such as mutual action plans, follow-up emails, battlecards, summaries, and pipeline reports on demand. These outputs are created using existing deal context and sales logic, allowing teams to prepare faster and maintain continuity across meetings, follow-ups, and deal stages.