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Sales Enablement 6 minOctober 8, 2024

Build an AI Sales Coach for Your Team

Use conversation intelligence, CRM notes, and PerksMate agent data to build an internal AI coach that suggests next steps and scripts for reps.

ai sales coaching enablement playbooks

Human sales coaching is powerful but hard to scale. An AI sales coach augments managers by analysing data, recommending messaging, and flagging risks automatically.

Data Sources for Coaching

  • CRM: Deal stage, next step, decision makers
  • Agent runs: Which PerksMate agents a rep triggered and the outcomes
  • Call transcripts: Recordings from Zoom or Dialpad
  • Email replies: Logged in the events table

Questions Your Coach Should Answer

Embed an internal chat UI (Next.js + Supabase auth) where reps can ask:

  • "What's the best template for this industry?"
  • "Which deals are stuck and why?"
  • "Give me a call opener for {{company}}"

Workflow Example

  1. Rep runs Describe → Discover to generate new leads.
  2. AI coach reviews the generated ICP and suggests which engagement agent to run.
  3. After calls, the coach summarises transcripts and surfaces coachable moments.

Security + Guardrails

Keep the AI inside your VPC. Use Supabase RLS to restrict access to deals per team. Log every prompt/response for compliance.

Frequently Asked Questions

Do I need a huge dataset to build an AI coach?+

Start with CRM notes + PerksMate agent logs. Even a few hundred conversations can create useful recommendations when combined with LLMs.

How do managers stay in the loop?+

Send a weekly digest summarising the AI coach's recommendations and the deals it flagged so humans can confirm or override.

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