AI for Sales Teams: From Manual Workflows to Autonomous Pipelines

AI for sales teams in 2026 runs without someone prompting it at each step. Prospect research agents that work overnight and deliver briefs by morning. Outbound sequences that write themselves from an ICP definition. Proposals drafted directly from your discovery call transcript before the meeting is over.

We'll run a live demo of an AI-native sales workflow: from lead to qualified pipeline, showing what each step looks like when Claude handles it autonomously via MCP connections to Salesforce and HubSpot. This isn't about prompt tips. It's about the workflow architecture that removes the admin from the sales process entirely.

We'll also cover what separates sales teams getting real value from AI right now from those still experimenting — and what it takes to move from individual productivity wins to a team-wide workflow that compounds.

What you'll learn:

• How to build a prospect research agent that runs overnight and delivers briefs by morning
• AI-native outbound: what sequences look like when Claude writes them from your ICP definition
• Proposal generation from discovery call transcripts via Claude
• CRM automation: how Claude writes directly into Salesforce and HubSpot via MCP
• The difference between individual AI productivity and a team-wide workflow that scales

Who should attend:

Sales directors, VPs of Sales, CROs, and Sales Operations leads looking to move beyond individual AI productivity into team-wide workflow automation. Also relevant for AEs who want to cut admin time without changing how they sell.

What you'll leave with:

• An architecture diagram of an AI-native sales workflow
• The MCP setup for connecting Claude to your CRM
• A clear view of where to start: the single workflow that delivers the most immediate time saving