Role-Based Programme
RB1148

AI for Sales Operations & CRM Management

Smarter Pipeline Visibility, Sales Analytics & CRM Productivity

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Duration
4 Hours
Level
Awareness
Delivery
Instructor-Led
Format
Awareness Session

Programme Objectives

  • Understand how AI can support Sales Operations and CRM Management across pipeline monitoring, reporting, data quality, forecasting, and sales productivity.
  • Explore practical AI applications for analysing CRM information, identifying pipeline gaps, reviewing sales performance, and preparing management reports.
  • Apply structured prompting techniques to generate sales insights, summaries, action lists, and management-ready commentary.
  • Use AI to improve productivity across CRM updates, pipeline reviews, sales meetings, reporting, and follow-up tracking.
  • Recognise customer-data privacy, CRM data quality, confidentiality, bias, governance, and human-validation requirements when using AI in sales operations.

Tools covered

Generative AI AssistantsCRM Data AnalysisPipeline AnalysisSales ReportingForecast SupportLead & Opportunity Data ManagementData Quality ReviewSales Performance AnalysisAI-Powered Reporting & Communication Tools

Who should attend

  • Sales Operations Executives
  • Sales Operations Managers
  • CRM Executives
  • CRM Managers
  • Sales Analysts
  • Revenue Operations Professionals
  • Sales Planning Professionals
  • Pipeline Management Professionals
  • Sales Reporting Professionals
  • Business Development Operations Professionals
  • Sales Coordinators
  • Commercial Operations Professionals
  • Sales Enablement Professionals
  • Sales Administration Professionals
  • Sales Operations Team Leads

Prerequisites & Participant Readiness

  • Basic understanding of sales processes, CRM systems, or pipeline management
  • Familiarity with leads, opportunities, sales stages, reports, or dashboards is helpful
  • Basic analytical and spreadsheet skills
  • No programming or technical AI knowledge required
  • No previous AI-tool experience required

TOC Modules

Concepts
  • Understanding Generative AI and its relevance to sales operations and CRM management
  • Exploring AI applications across pipeline analysis, CRM hygiene, sales reporting, forecasting, and productivity
  • Understanding the difference between AI assistance, CRM automation, analytics, and management judgement
  • Recognising AI limitations, hallucinations, incomplete data, and unsupported sales conclusions
Practical activities
  • Identifying high-value AI applications across a typical Sales Operations workflow
  • Comparing a traditional sales-reporting task with an AI-assisted approach

Scenarios

CRM Data to Pipeline Health Review

CRM Records → AI-Assisted Data Review → Pipeline Analysis → Stalled Opportunities → Risks & Gaps → Priority Actions → Sales Review

Participants use AI to analyse sample CRM and opportunity information, identify pipeline gaps and stalled deals, and prepare a concise sales-management review.

Sales Performance to Management Action Plan

Sales Data → Performance Analysis → Trends & Variances → Forecast Risks → Team Priorities → Actions & Owners → Management Summary

Participants use AI to analyse sample sales-performance information, identify key trends and forecast risks, and convert the findings into a structured action plan for management review.

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