Event owner lens
Use this record to benchmark whether a comparable event makes the work after the room visible. The score is 28/100, so the next move is to benchmark the weakest pillars before repeating the format.
broadcast-heavy conference agenda analysis
Aiconference 2026
This broadcast-heavy conference in Technology / AI / Startup shows 25 visible agenda rows from aiconference.london and scores 28/100: a weak visible outcome architecture. The clearest public signals sit in Future-of-Work Fit and Evidence Maturity; the main limits are Follow Through and Participation Architecture. Visible mechanisms include Participant work, Network design, and Learning transfer. The public record does not show follow-up or tracking, so the score should be read as design intent rather than durable... A practical reading: For a reader, this is a comparison record more than a model to copy: it reads as a broadcast-heavy conference, with the strongest visible signal in future-of-work fit and evidence maturity and the biggest open question around follow through and participation architecture. The practical test is whether the published agenda connects the room to post-event continuation and evidence. This page is an original public-evidence analysis, not a copy of the source agenda or an endorsement of the event. The score places the visible agenda in the weak visible effectiveness evidence band. The strongest visible pillars are Future-of-Work Fit, Evidence Maturity, and Network Design; the thinnest visible pillars are Follow Through, Participation Architecture, and Personalization. Visible mechanisms include Participant work, Network design, and Learning transfer. The extracted agenda preview includes 45 visible rows. The most common formats are Presentation, Keynote, and Panel; the most common inferred purposes are Knowledge Transfer, Expert Framing, and Relationship Building.
Eight-pillar fingerprint
Hover any pillar to see what it measures and, where it scored low, what the agenda is missing.
Participation Architecture?23
Participation Architecture - 23/100. Participant work, contribution, interaction, and alternatives to passive broadcast.Missing: Turn passive airtime into participant work: practice, sensemaking, decisions, critique, or artifact creation.
Follow Through?5
Follow Through - 5/100. Owners, dates, commitments, progress checks, and accountability after the room.Missing: Add named owners, dates, implementation checkpoints, and a visible post-event continuation path.
Problem Specificity?30
Problem Specificity - 30/100. A clear costly problem, objective, decision, or performance target.
Personalization?25
Personalization - 25/100. Role, path, goal, preparation, or connection tailoring for participants.Missing: Create role-based paths, prepared questions, tailored breakouts, or participant-specific next steps.
Network Design?38
Network Design - 38/100. Structured weak ties, bridge-building, mixers, and relationship persistence.
Learning Transfer?32
Learning Transfer - 32/100. Applied practice, feedback, workplace use, refreshers, and 30-90 day transfer.
Evidence Maturity?45
Evidence Maturity - 45/100. Baseline, comparison, follow-up, isolation, and attribution confidence.
Future-of-Work Fit?58
Future-of-Work Fit - 58/100. Value against time, hybrid reality, accessibility, AI, and meeting load.
Fix the gaps
Field-tested exercises matched to this agenda's weakest pillars, from the exercise library.
Follow Through (5/100)
Exercises that strengthen it: Mental Toughness Workshop • WorkshopBank · 15% Solutions • WorkshopBank · Network Patches
Participation Architecture (23/100)
Exercises that strengthen it: Make A World · Awestruck 3 Minutes · Spectrum Mapping
Personalization (25/100)
Exercises that strengthen it: Journey Mapping • WorkshopBank · Group Energiser & Perspective-Changing Exercise - Paradigm... · Photo Storytelling
Agenda Preview
The actual agenda we captured. Every block is classified by format and purpose. Open any block to see how we read it; the colored edge shows whether it is participant work, broadcast, logistics, or a showcase.
Room vs wrapper
2 percent of the 45 classified blocks put participants to work; the rest broadcast, show, or handle logistics. That mix is what drives the participation score.
Participant workBroadcastShowcaseLogistics
all eventPanelDeliberation+
Format · BroadcastPanelExperts discuss while the audience watches. Surfaces perspective but rarely creates participant work.
Evidence basisMediumRead from source
12:3013:30BreakBreakWellbeing+
Format · LogisticsBreakA pacing or recovery block between sessions.
Evidence basisMediumRead from source
all eventLunch Break with NetworkingNetworkingRelationship Building+
Format · LogisticsNetworkingUnstructured mixing. Can carry incidental connection, but is not scored as designed network work.
Evidence basisMediumRead from source
13:3013:45Talk Behind the Hype: The Real Impact of AI on Health Care and Social Care Dr. Marian Daryouzeh, EY Senior Executive Healthcare and Life sciences, EYPresentationKnowledge Transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisMediumRead from source
13:4514:00Session The Businesses Winning Right Now Aren't Bigger - They're Faster Sug Sahadevan, Director, Thumba LtdPresentationKnowledge Transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisMediumRead from source
14:0014:15Session Sleeping With One AI Open: The (In)Security of AI Supply Chain Marta Janus, Principal Adversarial ML Researcher, Hidden LayerPresentationKnowledge Transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisMediumRead from source
14:1514:30Session From Advisory to Autonomous: Scaling Agentic AI in the Enterprise Artur Skowroński - Head of Application Development, VirtusLabPresentationKnowledge Transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisMediumRead from source
14:3015:00BreakBreakWellbeing+
Format · LogisticsBreakA pacing or recovery block between sessions.
Evidence basisMediumRead from source
all eventNetworking Break with Tea/CoffeeNetworkingRelationship Building+
Format · LogisticsNetworkingUnstructured mixing. Can carry incidental connection, but is not scored as designed network work.
Evidence basisMediumRead from source
15:0015:15Talk Generative Engine Optimization (Business Reputations in AI chatbots) Simon Piatek, Senior Manager, CT GroupPresentationKnowledge Transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisMediumRead from source
15:1515:30Talk AI Risk Management: Governance, Literacy & Compliance Chris Eastham, Partner, FIELDFISHERPresentationKnowledge Transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisMediumRead from source
15:3015:45Talk How to feed Hungry AI with high-quality Data, on Demand, at Scale Kurt Kammerer, CEO, DataVaccinatorPresentationKnowledge Transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisMediumRead from source
15:4516:00Talk AI Forecasts in Finance & Crypto Dr.Jeremy Sosabowski, CEO, AlgoDynamixPresentationKnowledge Transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisMediumRead from source
The Full Reading
Why It Ranks This Way +
Calibrated from GES design 31/100 and verified 32/100 with no fourth-loop cap.
Reader Takeaway. For a reader, this is a comparison record more than a model to copy: it reads as a broadcast-heavy conference, with the strongest visible signal in future-of-work fit and evidence maturity and the biggest open question around follow through and participation architecture. The practical test is whether the published agenda connects the room to post-event continuation and evidence.
Strongest signals: Future-of-Work Fit, Evidence Maturity, and Network Design. Weakest signals: Follow Through, Participation Architecture, and Personalization.
How This Agenda Could Improve +
- Add named owners, dates, implementation checkpoints, and a visible post-event continuation path.
- Turn passive airtime into participant work: practice, sensemaking, decisions, critique, or artifact creation.
- Create role-based paths, prepared questions, tailored breakouts, or participant-specific next steps.
Fastest next move: Add named owners, dated next steps, and a visible continuation path before treating the event as outcome-ready.
Role-Specific Reading +
Sponsor lens
Look beyond exposure. Strong sponsor value would show qualified interaction, problem work, buyer learning, customer evidence, or follow-up. The practical sponsor move is to look for structured introductions, buyer-seller fit, and relationship persistence.
Designer lens
The agenda is useful as a pattern sample from aiconference.london. Redesign attention should go first to the lowest-scoring pillars; in practice, turn the thinnest agenda blocks into participant work.
Executive lens
Treat the visible agenda as an operating plan. The executive move is to require owners, dates, and evidence before treating the event as strategic. If owners, proof, and follow-through are not visible, the public record does not yet prove strategic movement.
Aggregator lens
Treat the source URL as evidence, not decoration. The data-product move is to label the source boundary clearly before ranking the record before ranking or syndicating the record.
What GES Means Here +
The Gathering Effectiveness Score is a strict 0-100 public-evidence reading of the agenda across eight pillars. It rewards visible participant work, follow-through, transfer, network design, and proof mechanisms more than polish, speaker fame, attendance, or satisfaction.
Visible mechanisms: Participant work, Network design, Learning transfer.
Evidence boundary: Scores reflect visible agenda/source evidence and should not be read as proof of causal event impact.
Limitations, Score Caps, and Review Flags +
Limitations
- No visible follow-up, progress monitoring, or longitudinal tracking.
- Passive stage formats dominate the visible agenda.
- No baseline measurement is visible.
Score caps
- No fourth-loop score cap applied.
Review flags
- No source-backed follow-up, validation, baseline, tracking, or impact evidence.
- No tracking, validation, feedback, or impact measurement found in the visible source text.
- Original category was unknown; publication category is inferred.
Is this proof the event worked? +
No. This is a strict public-evidence reading of the agenda. Proof would require baseline, comparison, follow-up, attribution, and impact evidence beyond the listing.
What should a reader inspect first? +
Start with the source URL, then compare the eight pillar scores against the agenda rows. The biggest opportunities usually sit in follow-through, evidence maturity, and participant work.
Why publish weak records? +
Weak records are part of the map. They show where public agendas still describe sessions and speakers more often than outcomes, commitments, transfer, or proof.
How should I use the rows? +
Read the agenda rows as the visible design trace: formats, purposes, and evidence labels show what the public source made inspectable, not everything that happened in the room. This is a source-grounded interpretation of the public agenda record, not a copy of the source, and not an endorsement of the event.
Where To Go Next
Compare this agenda against other Technology / AI / Startup events scored on the same eight pillars.