Role-Based Programme
RB1113

AI for Business Development

Smarter Prospecting, Opportunity Identification & Revenue Growth

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Duration
8 Hours
Level
Basic
Delivery
Instructor-Led
Format
Workshop

Programme Objectives

  • Understand how AI can support Business Development across prospecting, account research, opportunity discovery, outreach, and pipeline development.
  • Apply AI to identify target companies, analyse business signals, research stakeholders, and qualify potential opportunities.
  • Use AI to improve personalised outreach, discovery preparation, proposal development, follow-up, and account planning.
  • Develop practical skills for prioritising prospects, structuring business-development conversations, and converting research into actionable sales opportunities.
  • Understand responsible AI use, data accuracy, confidentiality, source validation, and human judgement in customer-facing business development.

Tools covered

Generative AI AssistantsAI Search & ResearchProspect ResearchAccount IntelligenceLead QualificationOpportunity AnalysisOutreach PlanningProposal SupportCRM InsightsSales Communication

Who should attend

  • Business Development Executives
  • Business Development Managers
  • Business Development Directors
  • Sales Executives
  • Sales Managers
  • Account Development Professionals
  • Growth Managers
  • Partnership Development Professionals
  • Pre-Sales Professionals
  • Inside Sales Professionals
  • Territory Development Managers
  • Key Account Professionals
  • Commercial Development Professionals
  • Business Development Team Leads

Prerequisites & Participant Readiness

  • Basic understanding of sales or business-development activities
  • Familiarity with prospects, customers, products, services, or business opportunities
  • Basic communication and internet-research skills
  • No programming or technical AI knowledge required
  • Prior AI-tool experience is helpful but not mandatory

TOC Modules

Concepts
  • Understanding Generative AI and its relevance to Business Development
  • Understanding how AI can support prospecting, research, communication, qualification, and opportunity development
  • Distinguishing AI assistance from traditional search, CRM systems, and sales automation
  • Understanding AI limitations, hallucinations, outdated information, and data-quality risks
Practical activities
  • Identifying recurring Business Development activities suitable for AI assistance
  • Comparing traditional and AI-assisted approaches to a prospecting task
  • Mapping potential AI applications across the Business Development lifecycle

Scenarios

Business Signal to Qualified Opportunity

Company Development → AI-Assisted Research → Account Fit → Stakeholder Identification → Opportunity Hypothesis → Outreach → Discovery → Qualification

Participants use AI to investigate a recent company development, identify relevant stakeholders, develop an evidence-based opportunity hypothesis, and prepare a structured approach for qualification.

Discovery Meeting to Opportunity Development Plan

Meeting Notes → Customer Needs → Business Impact → Stakeholders → Qualification → Proposal Inputs → Next Steps → CRM Update

Participants use AI to convert a sample discovery conversation into a structured opportunity plan containing customer needs, stakeholder information, qualification status, proposal inputs, and clearly defined follow-up actions.

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