Without Olli, Claude’s giving your competitors the same answer.
Ask Claude a question about a deal, and you’ll get the same generic output as everyone else with access to the exact same model. Olli’s the one way to ensure your reps get a fundamentally different answer:
Olli guides Claude with your data.
The Olli MCP is your bridge: Olli pushes your data, closed-won patterns, and playbook into Claude to guide its outputs. Making sure deal analysis finds the actual risk, and the next-move suggestions replicate what’s actually working.
Skills. Artifacts. Chats.
Build Olli into Skills to make sure the latest pipeline-wide learnings are built in. So Claude does the work, with the right context and guidance.
Same pattern in Artifacts: Building a one-pager for a champion? Olli supplies the deal context, the buyer profile, and the play that worked last time. Claude renders it.
Highly-specific outputs, with tenured-rep quality.
Most reps already use Claude or ChatGPT for parts of their day. Without Olli, every output is generic. With Olli, every output is tuned to your motion, your data, and what your top performers do.
The tools your team already loves, doing the work the way your team actually wins.
Claude writes. Olli supplies the judgment.
Every prompt gets enriched with your deal history, buyer context, and closed-won patterns before the LLM generates a single word.
Same feature set in ChatGPT and Gemini via MCP
Memory across chats per deal, per account, per rep
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Cross-account pattern matching surfaced inline
Artifacts that pull from your CRM, calls, and closed-won
Skills for pre-call briefs, follow-ups, executive briefs, business cases
Deal context pushed automatically to any chat with a deal name
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Recommended for teams. Personal Claude/ChatGPT works for individual reps trying it out. Enterprise plans give you admin controls, audit logs, and policy enforcement that match what RevOps needs.
No. Olli pushes context to Claude as part of the chat session, scoped to the user. The data isn't training Claude's model. Same security model as your existing Claude or ChatGPT enterprise plan.
Yes. Same feature set across all three. MCP is the connector layer.
Model Context Protocol. The standard for letting AI tools share structured context with each other. Olli uses MCP to push your data and patterns into Claude (and ChatGPT, Gemini) so generic LLMs behave like Olli on your motion.
