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As the wider tech world races to build agentic AI systems, RainFocus becomes the first major event platform to announce a comprehensive AI agent framework. But is this a genuine paradigm shift or well-timed marketing?
RainFocus has unveiled what it calls RainFocus Nexus at its annual INSIGHT conference, positioning it as an intelligent collaboration system that transforms event management platforms from passive tools into active teammates. The announcement marks a significant moment for the event technology sector—not because AI in events is new, but because this represents a fundamentally different approach to how AI should work within event workflows.
The distinction matters. For the past two years, event tech vendors have been bolting AI features onto existing platforms—chatbots here, content generators there, recommendation engines elsewhere. RainFocus is taking a different bet: that the future lies not in AI as a feature, but AI as an integrated workforce that operates across the entire event lifecycle.
The framework introduces specialised AI agents designed for specific jobs within event management. A Configuration Agent automates complex setup workflows for registration and branding—RainFocus claims this can reduce time-to-launch by up to 50%. A Concierge Agent serves as a personal guide for attendees, handling scheduling, wayfinding, and recommendations in real time.
Additional agents are in development: a Growth Agent to accelerate pipeline by identifying high-value targets and delivering buying signals to sales teams; an On-Site Agent providing real-time event metrics and operational decision support; and an Integration Agent to orchestrate data flow across martech and revops stacks.
Perhaps most significantly, RainFocus has built this on what it calls a Context Layer—an intelligence layer that translates raw data into what the company describes as “operational intuition.” This isn’t just about processing datasets; it’s about understanding attendee sentiment and event requirements in a way that supports decision-making rather than simply reporting on what’s happened.
What makes this announcement particularly interesting is RainFocus’s explicit commitment to interoperability. The company has built Nexus on open standards including the Model Context Protocol (MCP) and Agent-to-Agent (A2A) communication protocols. This is a deliberate rejection of the “walled garden” approach that has characterised much of the event tech industry’s platform development.
MCP, originally developed by Anthropic and now donated to the Linux Foundation’s Agentic AI Foundation, has rapidly become the universal standard for connecting AI models to tools, data, and applications. Major players including OpenAI, Google, Microsoft, and Amazon Web Services have adopted it. The protocol has been integrated into Claude, ChatGPT, Gemini, Microsoft Copilot, and other leading AI platforms.
By building on MCP, RainFocus is enabling organisations to “bring their own infrastructure” and plug Nexus agents into existing enterprise stacks. This cloud-agnostic approach addresses a genuine pain point: event technology has historically required extensive custom integration work, creating silos and limiting the value that platforms can deliver.
The timing of this announcement aligns with a broader industry shift that’s been building throughout 2025. In our Event Industry AI Report, Stephan Forseilles, CTO of Easyfairs, predicted that “AI agents and integrations will be the most impactful technology within the next two years.” His reasoning was straightforward: “Asking ChatGPT to create the text of a marketing email that I can copy/paste into my marketing automation tool is cool, but having the same tool automatically interface with any LLM I want is much better.”
This captures the fundamental limitation of the first wave of AI in events: disconnected tools that require human intermediaries to bridge between systems. Agents, properly implemented, can work across systems autonomously while maintaining governance controls.
Marco Giberti, founder of Vesuvio Ventures and a close observer of event tech investment trends, has noted that investors are increasingly discerning about AI claims. “From an investor’s perspective, AI is now present in almost every pitch deck related to event technology,” he observed in our research. “Sometimes it’s just a marketing buzzword, but other times it represents genuine value for the business. Investors are keen on evaluating whether the AI component adds real value or is simply a cosmetic addition.”
RainFocus isn’t operating in a vacuum. Cvent launched CventIQ in mid-2025, introducing AI capabilities across its platform including a personalised AI assistant agent powered by what it described as a hierarchy of connected agents—an event expert, brand ambassador, content curator, and network navigator. Bizzabo has been developing its AI Copilot as a context-aware assistant that works alongside users within its Event Experience OS.
However, there’s an important distinction in approach. Forrester analyst research on Cvent’s announcements noted that “the array of different agents was slightly confusing,” and highlighted that only 22% of event planners and marketers currently offer or plan to offer attendee assistance via AI-powered chatbots. This suggests that while vendors are racing to announce AI capabilities, actual adoption remains nascent.
RainFocus appears to be betting that the integration layer—the ability to connect with existing enterprise infrastructure—will be the differentiating factor. As Brian Gates, SVP of Industry Strategy at RainFocus, put it: “The key differentiator is that RainFocus Nexus was designed for the agentic web, ensuring interoperability, governed autonomy, and vendor neutrality.”
RainFocus has emphasised what it calls a Human-in-the-Loop (HITL) approach for governance and control. This addresses one of the more legitimate concerns about autonomous AI systems: the question of who’s actually in charge when agents start making decisions.
The company frames this as moving from “users click buttons to configure rules” to “users set goals and the platform configures itself.” This is a significant philosophical shift, but it raises practical questions. How much autonomy do event professionals actually want to cede to AI systems? Where are the boundaries between helpful automation and loss of control?
Mike Seaman, CEO of Racoon Media Group, offered a cautionary perspective in our AI research: “I think the potential benefits of AI are really interesting, but my personal view is that we need to proceed with caution rather than diving in headfirst.” He raised concerns about the sustainability of AI providers—particularly startups—and the challenges of system migration and training.
For event organisers evaluating technology platforms, RainFocus Nexus represents the first concrete articulation of what the next generation of event technology might look like. Whether or not you use RainFocus, the framework they’ve announced—specialised agents, context layers, open standards, human oversight—is likely to become the template against which other vendors will be measured.
The practical implications are significant. If RainFocus delivers on its claims of 50% reduction in time-to-launch for event configuration, that’s not just efficiency—it’s a fundamental change in how teams are structured and how resources are allocated. Event marketers could focus on strategy rather than platform configuration. Operations teams could shift from manual monitoring to exception handling.
But these promises need scrutiny. The event technology industry has a history of announced capabilities that take years to mature into production-ready features. RainFocus has made some agents available today for select clients, with others arriving throughout 2026 and 2027. Early adopters will help determine whether the vision translates into practical value.
RainFocus CMO Ashleigh Cook described the shift as moving from “AI as a feature” with isolated tools like chatbots to “AI as a workforce” with integrated agents. This framing captures something important about where event technology is heading—and perhaps where enterprise technology more broadly is heading.
Events have always been complex orchestrations of people, content, logistics, and technology. The promise of agentic AI is that much of this complexity can be managed by systems that understand context, maintain awareness across touchpoints, and take action within defined boundaries. If that promise is realised, the event industry could look fundamentally different within five years.
That’s a significant “if.” But RainFocus has at least articulated a coherent vision for how to get there, built on standards that the broader technology industry is coalescing around. Whether they execute on that vision—and whether competitors respond with comparable frameworks—will determine whether 2026 becomes the year that AI in events moved from buzzword to transformation.
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RainFocus Nexus was announced at the INSIGHT conference on 20 January 2026. The Configuration Agent and Concierge Agent are available now for select clients, with additional agents planned for release through 2027.
