Identifying AI Quick Wins for Sales Success through structured Frameworks
SBI261266
Event Detail
- Introduction
a. Discovery session - Understanding your AI readiness and current AI adoption to drive sales successes
b. Icebreaker activity - Collaborative Sales workflow mapping - Gaps and challenges - Fundamentals for Successful AI in Sales
• Overview of the Current AI Landscape
Navigating the wave of emerging AI technologies and trends, and their impact on the sales function
• Importance of Data-Readiness
Building a robust data foundation to ensure AI-driven sales strategies are accurate, and well-structured for actionable insights
• Understanding AI Limitations
Understanding risks associated with data bias, ethical challenges, and balancing the lack of emotional intelligence and human touch in sales leadership
• Data Security Essentials
Best practices for data protection for sensitive IP / customer information, and regulatory compliance to data privacy standards - Frameworks to kickstart AI Implementation for Sales
Using structured frameworks to identify, prioritize and execute AI opportunities in the Sales function.
a. Digital Transformation
Understanding digital transformation and listing Sales processes to identify opportunities to improve existing workflows.
b. Now-Where-How
Structured approach of using Now-Where-How to define the business strategy alignment with technology adoption for a positive outcome of either job redesign or technology solutioning - AI Quick Wins for Sales - understanding common sales processes
Deep dive into these key sales areas - The challenges and how best to leverage AI and
automation for competitive advantages:
a. Sales Prospecting
AI-driven tools and features to analyse large datasets and identify high-potential leads
through predictive analytics and intent data.
b. Lead Qualification
AI-powered lead scoring automation to prioritise the best-fit leads for you and your sales
team.
c. Needs Assessment & Objection Handling
AI sentiment analysis for deeper discovery of customer needs and pain points. AI support for
objective handling for more effective customer engagement.
d. Proposal & Quote Preparation
AI automation of proposal generation with customised pricing and terms based on customer
data and market conditions. Account performance dashboards for upselling or cross-selling
opportunities.
e. Sales Training
AI advantages with onboarding acceleration, personalised learning paths, real-time coaching,
and even simulated sales scenarios for a risk-free practice.
f. Proactive Pipeline Attrition Management
Early AI prediction of at-risk leads, and automation of targeted re-engagement strategies and
recommendation of personalised actions for sales to improve conversion rates. - Breakout Activity - Guided Approach to developing an implementation plan across the
Sales Lifecycle (1.5 hour)
Objective: Develop a practical AI implementation plan using the Digital Transformation and Now-
Where-How framework in different stages of the sales process. This breakout activity should not
have more than 3 groups.
• Group Discussion (45 mins): Divided into groups of minimum 3 participants, each focusing on
ONE or TWO topic (a-f), participants to develop an AI implementation plan.
• Group Presentation & Feedback: 15-minute sharing of AI action plan for each team for peer-to peer
learning and constructive feedback - Q&A
Programme/Agenda
Requirement:
▪ Participants must bring a laptop with Internet connectivity
▪ Indicate sub-industry (eg Healthcare, Pharmaceutical, FMCG, O&G, Luxury Retailer)
▪ $50M < Sales Revenue target > below $150M
WHO SHOULD ATTEND
Representatives managing the sales function for the organisation (specifically in the Wholesale Trade):
• Sales representatives
• Business development representatives
• Sales operations professionals
• Customer success managers
Tuesday, 8 September 2026 - Tuesday, 8 September 2026 
9:00 AM - 5:00 PM
160 Robinson Road #06-01, SBF Center,Singapore 068914