Automation
Fixed rules that run reliably: a reminder seven days out, status back to the CRM, a ticket after registration. That’s what workflow automation does.
AI in events means an assistant that plans with you, builds pages, forms and invites, answers questions about your attendees and turns results into reports. With AirLST, the assistant your company already uses, whether that’s Microsoft Copilot, ChatGPT or Claude, works right inside your event platform and alongside your CRM and business systems. Your requirements set the limits, not your software.
The assistant your company already uses works directly in AirLST.
CRM, ERP, Microsoft 365 and BI feed in data and get results back.
Invites, registration, check-in and reporting on one platform.
Get going with Airstage through MCP, then add what your business needs.
AI in events is the use of AI assistants and language models to prepare event work, create content, organize information, analyze data and support workflows across systems. AI handles the writing, structuring and checking; decisions, relationships and the event itself stay with your team.
For AI event planning to really pay off, the assistant can’t live in a separate chat window. Connected to your event platform and business systems, it creates results where the event is actually run and pulls in data from your CRM or ERP. Across the event lifecycle, it helps with concept, invitations, registration, communication, event day and follow-up.
Fixed rules that run reliably: a reminder seven days out, status back to the CRM, a ticket after registration. That’s what workflow automation does.
Understands a description or a question in plain language, then drafts, summarizes and suggests, like a registration page from one sentence or a report for sales.
AI drafts, automation executes, your team approves. Critical rules like permissions, consent and capacity are enforced by the platform, not the language model.
AI sounds confident even when it’s wrong. A person checks dates, prices and commitments, and guest data only goes into tools that are contractually and technically fit for it.
Your assistant connects to your event account through the AirLST MCP server and works with your permissions. Out of the box it builds landing pages and registration forms in Airstage. How to connect your assistant.
| Item | Status |
|---|---|
| Landing page | Draft |
| Form | Draft |
| Design | Draft |
| Thank-you page | Draft |
Six use cases, each with a prompt the way event planners actually ask. Every card shows what runs out of the box and what we set up for you. Want ready-to-use prompts? See ChatGPT for event planning.
Standardready to use
Custom integrationset up for you
Standard: MCP server for Airstage, connectors for Salesforce and HubSpot, REST API from the Professional plan. Everything else is set up by our integration services or your IT.
“Build a landing page with the agenda for our partner day and a registration form with workshop selection, in our brand.”
“Check the guest list for duplicates and suggest segments for the invitation.”
“Write the invite in three versions: customers, partners, press. Remind everyone who hasn’t replied a week out.”
“How are registrations tracking against last year, and how many no-shows should we expect?”
“Which guest groups haven’t checked in yet, and how full is session 2?”
“Summarize which key accounts showed up and suggest a next step for each one.”
DraftApproved in the builder
DraftApplied after you confirm
DraftSent after approval
DraftAnswer in plain English
DraftRead only
DraftDraft for sales
A new event is ready as a draft in minutes, on brand and checked on mobile and desktop.
How it works The assistant builds in Airstage through MCP; your team watches in the builder and approves.
Clean lists before you send, segmented by role, region or status instead of hours in Excel.
How it works The assistant reads the guest list with your permissions and suggests changes; only what you confirm is applied.
The right tone for every audience and language, without rewriting each version.
How it works Copy and sequence are drafted in your invitation workflow; nothing goes out until it’s approved.
Answers in plain English instead of filters and exports, clear enough for leadership and sales.
How it works The assistant queries reporting and the guest list and explains what stands out; forecasts need solid data from past events.
Your event lead gets the full picture in seconds, without clicking through dashboards.
How it works The assistant reads check-in and capacity data; entry and decisions stay with your team.
Event results reach sales while the lead is still warm.
How it works Attendance flows to your CRM through the connector; the assistant drafts the report and next steps.
AirLST is the event platform in the middle: contacts come from your CRM, budgets from your ERP, briefs from Microsoft 365, and results flow back. Your AI assistant works on top through MCP, with the user’s permissions and a full audit log. Events become part of your business processes and your AI strategy instead of an island.
Data moves through connectors and the API, not through the language model. Technical details: integrations.
Four scenarios from companies that run a lot of events. Each one builds on existing building blocks and is configured for your systems.
AI has the biggest impact where you run lots of similar events and each one still needs its own pages, lists and reports.
Ten cities, one template: the assistant builds a page and form per stop, and your team only reviews what’s different.
Automotive events and roadshowsLeads from lead retrieval flow into your CRM; AI drafts a summary per contact for the sales team.
Trade show managementInvitations per partner tier, status back to the CRM, a draft report for partner management.
Corporate and partner eventsFixed run of show, strict approvals: AI prepares, and every step stays traceable and signed off.
Annual general meetingsIn AirLST, AI works within the same permissions, logs and approvals your team already uses. Answers for your IT team are on the MCP server page.
An AI connection belongs to one user and inherits that user’s roles and permissions. If that user can’t do something, neither can the assistant.
Every tool call the assistant makes is logged and shows up in the history; changes can be undone.
Publishing and sending to attendees go through an approval by your team. You decide which actions an agent may take.
Guest and event data stay with AirLST on servers in Germany, GDPR-compliant. Details in the Trust Center.
Your IT decides which model does the work: Microsoft Copilot in your own tenant, ChatGPT, Claude or your own agent.
Connections can be cut at any time; connectors and data flows are documented and signed off by your IT.
Start with what works today and build out what your business needs. Custom integrations are set up by our integration services or your IT; features and integrations depend on your system landscape.
| What | How | Status |
|---|---|---|
| Landing pages and registration forms with AI | AirLST MCP server in Airstage | Standard |
| Claude, ChatGPT, Cursor and other MCP clients | one address, OAuth sign-in | Standard |
| Salesforce and HubSpot | connectors: contacts in, status back | Standard |
| Your own systems | REST API (Professional plan and up) | Standard |
| Microsoft Copilot | Copilot Studio agent with the AirLST MCP server | Custom integration |
| AI for invitations, workflows and plain-language reporting | configured per customer | Custom integration |
| SAP, Microsoft Dynamics, Microsoft 365, Power BI | integration project through the REST API | Custom integration |
| Forecasting, data quality, event-day status | built on your data and integrations | Further use case |
In a demo we show how your assistant works with AirLST through MCP, and we map out how Copilot, your CRM and your other systems fit in.