Role-Based Programme
RB1130
AI for Account Executives
Account Intelligence, Consultative Selling & Revenue Growth
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Duration
16 Hours
Level
Intermediate
Delivery
Instructor-Led
Format
Capability Training
Programme Objectives
- Develop practical AI capabilities for account research, opportunity management, customer engagement, and revenue growth.
- Apply AI to analyse accounts, stakeholders, customer needs, competition, and opportunity signals.
- Use AI to improve discovery, consultative selling, value propositions, proposals, negotiation preparation, and follow-up.
- Strengthen pipeline management, account planning, CRM documentation, and opportunity progression using structured AI-assisted workflows.
- Apply responsible AI practices related to customer confidentiality, commercial sensitivity, source accuracy, privacy, and human judgement.
Tools covered
Generative AI AssistantsAI Search & ResearchAccount IntelligenceStakeholder MappingOpportunity AnalysisDiscovery SupportProposal DevelopmentSales Data AnalysisMeeting IntelligenceCRM Workflow ConceptsExecutive SummarisationPresentation Tools
Who should attend
- Account Executives
- Senior Account Executives
- Enterprise Account Executives
- Sales Executives
- Business Development Executives
- Territory Account Executives
- Corporate Sales Executives
- Strategic Account Executives
- Client Acquisition Professionals
- Key Account Professionals
- Relationship Managers
- Solution Sales Professionals
- Consultative Sales Professionals
- Sales Managers
- Revenue Growth Professionals
Prerequisites & Participant Readiness
- Experience in sales, account management, business development, or customer-facing commercial roles
- Familiarity with opportunity management, customer meetings, proposals, and CRM systems
- Basic familiarity with Generative AI tools is recommended
- Ability to interpret account, customer, and sales information
- No programming knowledge required
TOC Modules
Concepts
- Understanding Generative AI, reasoning models, multimodal AI, and AI assistants
- Exploring AI applications across account research, discovery, proposals, and opportunity management
- Understanding how AI differs from CRM, sales automation, and traditional research tools
- Recognising hallucinations, outdated information, unsupported claims, and AI limitations
Practical activities
- Mapping the Account Executive sales cycle to practical AI applications
- Identifying high-value versus low-value sales use cases
- Comparing traditional and AI-assisted account workflows
Scenarios
Strategic Account to Qualified Opportunity
Account Research → Stakeholder Mapping → Opportunity Signals → Discovery → Need Analysis → Qualification → Value Proposition → Opportunity Plan
Participants use AI to research a strategic account, identify key stakeholders and business signals, conduct structured discovery, and develop a qualified opportunity plan.
Qualified Opportunity to Commercial Proposal
Customer Need → Stakeholder Priorities → Solution Positioning → Objection Analysis → Proposal → Negotiation Preparation → CRM Update → Deal Progression
Participants use AI to transform a qualified opportunity into a customer-specific proposal, prepare for objections and negotiation, document next steps, and create a structured deal-progression plan.
Related programmes
Continue with programmes from the same capability area.
- ChatGPT for Human Resources: AI Skills for Smarter Everyday HR
- ChatGPT for Human Resources: Practical AI for Smarter HR Workflows
- ChatGPT for Human Resources: Research, Analyse & Build Smarter HR Workflows
- ChatGPT for Human Resources: Advanced AI Workflows, Automation & HR Intelligence
- ChatGPT for Sales & Business Development: Practical AI Skills for Modern Sales Teams
- ChatGPT for Sales & Business Development: Research, Engage & Build Smarter Sales Workflows
- ChatGPT for Sales & Business Development: Advanced AI Workflows, Account Intelligence & Sales Automation
- ChatGPT for Marketing: AI Skills for Modern Marketing Teams
Take the next step
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Instructor-ledVirtualHybrid
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