We run smaller events (100-300 attendees). Is AI networking overkill for us?

Not at all. Small events often benefit most from AI matchmaking because attendees can't possibly meet everyone — AI ensures they meet the *right* people. Even at 100 attendees, that's 4,950 possible connections. AI helps attendees prioritise the 5-10 highest-value connections instead of random encounters. Many small conference organisers see the biggest networking satisfaction gains.

Do we need a custom event app to use AI engagement tools?

No. Most AI tools we teach integrate with existing platforms like Whova, Brella, Grip, EventMobi, or Swapcard via APIs. We focus on maximising AI capabilities within your current app or web platform, not forcing you to switch. During the programme, we'll map AI opportunities specific to your existing technology stack.

How do you handle attendee data privacy with AI matchmaking and sentiment analysis?

All AI tools we recommend comply with PDPA (Singapore, Thailand), PDPO (Hong Kong), and Indonesian data protection regulations. We teach opt-in/opt-out consent management for networking matchmaking, data anonymisation for sentiment analysis, and how to communicate AI use transparently to attendees. During hands-on labs, we use synthetic attendee data — no real attendee profiles are required for training.

Will AI work for hybrid events where attendees are split between in-person and virtual?

Absolutely — this is where AI shines. We teach hybrid-specific AI strategies like virtual-to-in-person networking matchmaking, AI moderation that balances in-person and virtual Q&A, sentiment analysis across both audiences, and personalised content delivery that adapts to each format. Many participants report hybrid events are where they see the biggest AI engagement impact.

Can we test AI engagement tools on a pilot event before rolling out to our full portfolio?

Absolutely encouraged. During the Use Case Development module, we help you identify the best pilot event (usually one with 200-500 attendees, 1-2 days, medium complexity). You'll leave with an implementation plan for that specific event, test AI tools there, measure results, and then scale learnings across your event portfolio. Most participants see measurable engagement improvements on their first AI-enhanced event.

Training Solutions

SUMMIT-ENG

Cohort-basedSubsidy eligible

AI Attendee Engagement & Experience Design

Event teams can independently deploy AI tools for personalised agendas, intelligent networking, real-time sentiment analysis, interactive Q&A, and hybrid event parity — increasing attendee satisfaction by 20-35 NPS points and session engagement rates from 15% to 60%+ across Southeast Asia events.

Transform attendee experiences using AI for personalised agendas, intelligent networking matchmaking, real-time sentiment analysis, interactive Q&A, and gamification. Built for event professionals creating memorable, data-driven attendee journeys for conferences, trade shows, and hybrid events across Southeast Asia.

Duration2-3 days

InvestmentUSD $15,000 - $25,000

Best forConference organisers, community managers, attendee experience designers, and MICE professionals responsible for engagement, networking, and satisfaction at corporate events, trade shows, and association conferences across Southeast Asia

Start a Conversation Request Solution Brief

THE CHALLENGE

Sound familiar?

“

We get 3.2/5 on post-event surveys for networking — attendees say they didn't meet the right people.

“

Our mobile event app has 25% adoption. Most attendees still use the printed programme and miss half the interactive features.

“

We have no idea how sessions are landing until we see the post-event survey. By then it's too late to adjust.

“

Our Q&A sessions are dominated by 3-4 loud voices. Most attendees never engage.

“

Hybrid events feel like two separate experiences — in-person attendees get the full value, virtual attendees are passive observers.

“

We're running the same gamification playbook from 2019. Attendees are bored with basic point systems.

Trusted by enterprises across Southeast Asia

Financial Services

Healthcare

Education

Manufacturing

Professional Services

Government

OUTCOMES

What you'll achieve

Problems you'll solve

Attendee networking failing to connect the right people based on interests, goals, and profiles
Session engagement limited to passive listening instead of interactive participation
Event organisers flying blind on real-time attendee sentiment and session performance
Mobile event apps underutilised due to generic content and lack of personalisation
Hybrid event experiences creating two-tiered engagement (in-person vs. virtual disconnect)
Gamification strategies outdated and failing to drive meaningful attendee participation

Value you'll gain

Satisfaction Increase: Boost post-event NPS by 20-35 points using AI-personalised agendas and networking
Engagement Rate: Increase session interaction rates from 15% to 60%+ with AI-powered Q&A and polling
App Adoption: Triple mobile app usage through AI personalisation and intelligent recommendations
Networking Quality: Improve networking satisfaction scores by 40% using AI matchmaking algorithms
Hybrid Parity: Close the engagement gap between in-person and virtual attendees using AI interaction tools
Sponsor Value: Increase sponsor ROI by 25% through AI-driven attendee-exhibitor matchmaking and engagement data

OUR PROCESS

How we deliver results

Step 1

Industry Assessment

We assess your current attendee engagement strategies, technology stack, event formats (in-person, hybrid, virtual), and engagement metrics. This includes reviewing past event data, attendee feedback, and technology adoption rates to identify your highest-impact AI engagement opportunities.

Step 2

Curriculum Customisation

We tailor modules to your event types (conferences, trade shows, association meetings, hybrid summits), attendee profiles (executives, practitioners, students), and engagement goals (networking, learning, lead generation). All examples use real Southeast Asia event scenarios and cultural contexts.

Step 3

Hands-On Delivery

Interactive workshops where participants configure AI engagement tools for their actual events. Each module combines concept explanation with immediate practice on tasks like agenda personalisation, networking algorithm design, sentiment analysis dashboards, and gamification mechanics.

Step 4

Use Case Development

Participants develop 2-3 AI engagement use case proposals specific to their upcoming events — networking matchmaking platforms, real-time sentiment dashboards, or AI-powered Q&A systems — with engagement KPIs, technology requirements, and implementation timelines ready for execution.

Step 5

Adoption Support

30-day post-programme support includes office hours, Slack access, implementation coaching on your first AI-enhanced event, and a follow-up session to review attendee engagement data and optimise AI tools based on real event outcomes.

What you'll receive

Attendee Engagement AI Maturity Scorecard
Customised Training Workbooks (one per module)
AI Engagement Toolkit (matchmaking templates, sentiment dashboards, gamification mechanics)
Event Engagement AI Use Case Playbook
90-Day AI Implementation Roadmap
Team Certification (individual + organisational)
Post-Programme Support Package (30 days)

Best for

Conference organisers, community managers, attendee experience designers, and MICE professionals responsible for engagement, networking, and satisfaction at corporate events, trade shows, and association conferences across Southeast Asia

IS THIS RIGHT FOR YOU?

Finding the right fit

This is ideal for you if...

Conference organisers seeking to improve attendee satisfaction and networking quality
Trade show and exhibition teams looking to increase attendee-exhibitor engagement and sponsor ROI
Association event managers handling recurring events and wanting to differentiate attendee experiences
Hybrid event producers struggling to create engagement parity between in-person and virtual attendees
Event teams with low mobile app adoption rates or passive attendee participation seeking AI-driven improvements

Consider another option if...

Individual event professionals (this is a team programme — try our AI Readiness Fundamentals instead)
Organisations running only small internal meetings (<50 attendees) without networking goals
Teams already using advanced AI engagement platforms and seeking cutting-edge innovation (try our Engineering tier)

See yourself in the list above?

Let's Talk

CURRICULUM

What you'll learn

2 days total

Understand how AI personalisation, recommendation engines, natural language processing, and sentiment analysis transform attendee experiences. Learn which AI capabilities apply to which engagement challenges, and build a framework for measuring AI-driven engagement ROI.

What you'll be able to do

Distinguish between AI personalisation, recommendation, NLP, and sentiment analysis capabilities for events
Identify 12+ specific AI applications across agenda design, networking, Q&A, polling, and gamification
Map attendee journey touchpoints where AI can deliver the highest engagement impact
Evaluate AI engagement tools for conferences, trade shows, and hybrid events
Understand data collection requirements and privacy considerations for AI attendee tools