The Publisher Podcast by Media Voices

The episode delivers practical, operational insights about deploying agentic AI in events (WhatsApp registration, badge delivery via QR codes, show-up rate lifts), but relies heavily on anecdotal wins without deeper analysis. Sharon shares concrete numbers (4.5k registrations in Africa, 16% uplift in Malaysia, 4.5% in London) and specific deployment details, but the conversation lacks probing into *why* these worked, failure modes, or how the approach generalizes. Much space is devoted to context-setting (company history, organizational structure) that, while necessary, reduces insight density relative to the 23-minute runtime.

“We had an around four and a half thousand people register through that WhatsApp channel, which I think accounted for close to 20% of all registrations”

“Our solar event in Malaysia had a 16% uplift on show up from registration to attendance”

The core idea - using AI agents and WhatsApp to drive event registration and attendance - is relatively straightforward application of existing technology (LLMs, WhatsApp APIs, concierge bots). While the execution across 90 events globally is operationally impressive, the conceptual novelty is limited. The topic-takeover monetization idea (selling keywords to sponsors) is marginally fresher but underdeveloped. Most claims follow conventional event tech thinking: multi-channel outreach, reducing friction, improving attribution.

“We built it out as well and it's just proved very scalable”

“Maybe something happened in the market”

Sharon Roessen is a credible operational executive with 30 years at Terrapinn and direct P&L responsibility across a substantial global portfolio (90 events, 380 staff). Her perspective is grounded in real deployment at scale - not theoretical. However, she is primarily a practitioner reporting on vendor-delivered solutions; she did not invent the AI technology itself. Her caliber is solid for events operations and AI implementation, but she lacks deep technical or broader industry authority that would elevate her to top tier.

“My background's marketing. I've actually been with the company 30 years”

“I then went off and ran our Asian business”

Sharon provides concrete numbers for WhatsApp engagement (4.5k registrations, 20% of total; 16% show-up lift in Malaysia; 4.5% in London) and deployment scope (60 of 90 events live, 50,000+ unique questions answered, 100+ agents across portfolio). However, she explicitly acknowledges attribution challenges and uncertainty ("I don't know if it was because we sent them a badge three times", "I don't know" repeated multiple times). Named geographies are clear, but ROI math, cost breakdowns, and comparative benchmarks are absent. Evidence supports the narrative but doesn't satisfy rigorous measurement.

“I think it's around four and a half thousand people register through that WhatsApp channel, which I think accounted for close to 20% of all registrations”

“Our solar event in Malaysia had a 16% uplift on show up from registration to attendance”

The host asks reasonable opening questions and attempts some follow-ups ("what kind of uplift are you seeing?", "what was the thinking?"), but rarely pushes back or drill deeper into gaps. When Sharon admits "I don't know" multiple times about causation, the host says "in some ways you don't care, right, as long as it's moving in the right direction" - a gentle letoff rather than productive skepticism. The closing advice section is softly lobbed. The host does reframe Sharon's narrative helpfully ("you start with a problem") but doesn't challenge assumptions or explore downsides, costs, or failure cases.

“Maybe hard to put numbers on this. Comparing WhatsApp response, um, with email response, what kind of uplift are you seeing?”

“What was the thinking? Was this something that you had a problem or that you thought, well, this might be an interesting way”