MEETING TOMORROW

Empowering a Product-Driven Culture Through AI Application Development on a Scalable Data Foundation

Client Case Study · Event Production · Mid-Market

---

Executive Summary

Meeting Tomorrow, a full-service event production company, made a decisive pivot from a passive, theoretical AI strategy to an active execution model driven by a practical maturity framework. Looking to find experts who had done this before, they partnered with The AI Lab to move past high-level ideas and achieve tangible business outcomes. The collaboration began by establishing a robust data foundation that immediately accelerated technical progress and unlocked the rapid deployment of a dozen-plus internal applications, which continues to expand. Today, the partnership is focused on closing the AI skills gap through targeted user training, paving the way for a highly efficient, company-wide builder culture.

The Challenge: Moving Beyond Frameworks with Limited Capacity

Meeting Tomorrow adopted an ambitious "AI-forward" stance in 2025 in order to become more efficient with their resources and deliver greater value to their customers. They utilized a multi-dimensional external framework to assess their AI maturity. However, without the capacity for extensive, time-consuming corporate training, they were unsure how to "move the needle" to get them to the next maturity phase along all various dimensions. Leadership found themselves stuck trying to balance strategy with reality, unsure whether they needed to hire specialized AI strategists, recruit expensive developers, or try to upskill internally on their own. They needed a practical roadmap that could deliver real momentum without overwhelming their staff.

The Solution: Technology, Tools, Training

As opposed to coming in and building the AI infrastructure, MCP base, and agent system for them, The AI Lab implemented a flexible, hands-on coaching and advisory model to move rapidly on quick wins and lay the groundwork for true organizational change. Emphasizing support and providing resources to unblock leaders and operators resulted in empowering Meeting Tomorrow's small development team to become completely self-sufficient across three distinct phases.

Phase 01: Building a Rock-Solid Data Foundation

Meeting Tomorrow recognized that launching sophisticated AI tools on top of fragmented data would result in a fragile ecosystem. Under the guidance of AI Lab experts, Meeting Tomorrow consolidated disparate data streams into a unified data warehouse, focusing on automated reporting and a clean insights layer. This foundational step acted as a springboard for progress, fully unlocking the clean data infrastructure required to power advanced AI reasoning.

"The first questions we discussed with The AI Lab involved the data layer. How do we build a data warehouse and infrastructure so we can get the most out of AI? Unlocking the data piece with The AI Lab was a rocket ship moment for us."

— Phil Hamstra, Director, Systems and Strategy, Meeting Tomorrow

Phase 02: Activating a High-Velocity, AI-Assisted Development Team

With a clean data foundation in place, The AI Lab advised Meeting Tomorrow on structuring a modern, AI-assisted development workflow. By establishing robust CI/CD pipelines, the company transformed its developers, who maintain other primary responsibilities, into a high-velocity product team. This team now ships highly targeted internal applications on a weekly cadence, including:

• Prospecting & inbound sales agents — automating early-stage funnel interactions.
• Content creation tools — scaling localized content generation.
• Model Context Protocols (MCPs) — linking disparate pieces of operational data across the organization.
• Custom event management workflows — tailoring software directly to their core event execution needs.
• Advanced analytics pipelines — delivering real-time business intelligence and data visibility.

"We needed a full AI-driven development team, and now we have one, without needing to hire additional resources."

— Phil Hamstra, Director, Systems and Strategy, Meeting Tomorrow

Phase 03: Democratizing AI and User Empowerment

As technical development accelerated, an organizational "K-shaped" skill gap emerged. Passionate early adopters were rocketing ahead, while other business users were still learning foundational prompting techniques. To close the gap, The AI Lab expanded its focus beyond pure engineering to run targeted user training sessions, such as hands-on Claude Desktop deep dives, to bring the rest of the workforce up the adoption curve. The value extended far beyond technical skills; through community meet-ups with other mid-market leaders, The AI Lab provided a space for peers to share real operational stories. The engagement focused less on dense technical jargon and more on sharing outside perspectives to collaborate on critical strategic lenses, frameworks, and lightbulb moments.

"As an events company, we firmly believe one of the most valuable outcomes of events is serendipitous engagement. Dialog on real-world stories with other AI Lab members catalyzed many of those valuable lightbulb moments."

— Phil Hamstra, Director, Systems and Strategy, Meeting Tomorrow

What's Next: Every Employee Is a Citizen Developer

The next phase of the partnership centers on scaling this newly formed builder culture across the entire corporate structure.

• Upskilling push. Continued training sessions will focus on onboarding non-technical business users to tools like Claude Desktop, transforming passive consumers into active solution builders with a product management mindset.
• A shared platform to discover & create applications. Meeting Tomorrow aims to shift from a handful of developers creating applications to a democratized, company-wide ecosystem — a safe, compliant, governed platform where any employee can build, test, and post custom tools.
• IT as an enabler. The IT department's role will shift from project contributor to platform maintainer, focusing on governance, security, and infrastructure while business units build bespoke solutions rapidly.

By giving employees a taste of solving complex, frustrating problems elegantly and efficiently, Meeting Tomorrow and The AI Lab are cultivating a culture of continuous innovation and operational agility.

"AI Lab helps us move in the dimensions where we get stuck, and that is invaluable to us. We are done with the experimental phase, and we are well down the road of transforming our business and the value we can add to customers and to our employees."

— Phil Hamstra, Director, Systems and Strategy, Meeting Tomorrow