AI Solutions

AI for MICE,
built by people who run events

General-purpose AI tools struggle with the complex work of academic societies and international congresses. Global Iris turns the know-how we have gained running events into an ontology, and builds AI systems on top of it that people actually use.

Knowledge graph linking sessions, speakers, abstracts, members, sponsors, attendees and venues around a congressCongressSessionSpeakerAbstractMemberSponsorAttendeeVenue
Capabilities

From planning to the final report,
where AI does the work

Adopt only the features you need. We connect to the registration systems and documents you already use.

01

Knowledge Ontology

Knowledge Ontology for Societies & Events

We pull a society's history, sessions, speakers, abstracts, members and sponsors out of scattered spreadsheets and documents, and connect them in a single knowledge graph. Preparation that used to start from scratch every year now starts from accumulated data.

  • Relationships between speakers, sessions and topics
  • Event data unified across years
  • Evidence for speaker suggestions and program design
02

Event Operations Platform

AI Event Operations Platform

We build an operations system that brings registration, abstracts, accommodation, schedules and payments together, and use AI to automate repetitive work such as notices and attendee inquiries.

  • One dashboard for registration, abstracts and accommodation
  • AI assistant for attendee inquiries
  • Automatic schedule updates and announcements
03

Abstract & Program Intelligence

Abstract Review & Program Support

Submitted abstracts are classified by topic and matched with suitable reviewers. Duplicate submissions and conflicts of interest are flagged early, and a first draft of the session plan is ready quickly.

  • Automatic topic classification
  • Reviewer matching and conflict checks
  • Draft session schedules
04

Secretariat Knowledge Assistant

Secretariat Knowledge Search (RAG)

Bylaws, minutes, official letters and member notices become a searchable knowledge base, so staff get accurate answers together with the source documents.

  • A knowledge base of secretariat documents
  • Answers that cite their sources
  • Automated member notices and FAQs
05

Multilingual Communication

Multilingual Communication

Notices, announcements and emails for international meetings are prepared quickly in several languages, with technical terms kept consistent through a glossary for each society.

  • Multilingual notice drafts
  • A terminology glossary per society
  • Support for communicating with overseas attendees
06

Post-event Insight

Data-driven Post-event Analysis

We analyze registration data and satisfaction surveys to find what to improve next time, and draft the final report automatically.

  • Attendee and session analysis
  • Survey summaries and insights
  • Automated report drafts
Ontology first

Why start with an ontology?

For AI to work accurately, the meaning of the data has to be defined first: which sessions the same speaker presented in over the years, which abstracts relate to which topics. Once these relationships are structured, search, recommendations and automation all become accurate.

Event preparation until now

  • Rebuilt from spreadsheets and email every year
  • Know-how lost when staff change
  • Speaker, abstract and attendee data in separate files
  • Data that disappears when the event ends

Ontology-based event preparation

  • Start from last year’s event data
  • The society's knowledge accumulates in the system
  • Everything linked and searchable at once
  • A system that gets smarter with every event
Process

How adoption works

  1. 01

    Assess

    We review your current workflow and data together and find what to automate.

  2. 02

    Model

    We design an ontology and data structure that fit your society and events.

  3. 03

    Build

    We build only the features you need into an operations system and AI workflows.

  4. 04

    Deploy

    We put it to work on a real event, with professional planners reviewing the results.

  5. 05

    Improve

    After every event, the new data makes the system smarter.

Principles

Our principles for AI

People make the final call

AI prepares drafts and evidence quickly; decisions are made by planners who know the event.

Data belongs to the society

We handle attendee and member information only as far as the purpose requires, and design the data so the society can keep using it.

Only what works onsite

As a team that runs congresses every year, we start with the features that actually save time onsite.

Find the right AI for your society

Tell us how you work today and what data you have, and we will start with what can be applied right away.