James D. Feldman, CSP, CITE, is a keynote speaker and AI implementation strategist specializing in hospitality, tourism and meeting industries. He publishes the AI Sauce Newsletter and speaks regularly on practical AI adoption for business results. Contact Jim at jfeldman@shifthappens.com.

The director of an incentive travel company called me last month with a familiar problem. A pharmaceutical client requested a proposal for a 250-person President’s Club trip to Portugal — boutique hotels, private wine tastings, teambuilding activities, the full experience. She knew they’d planned similar programs in Spain, Italy and southern France over the past five years, including one specifically for another pharma client with nearly identical attendee profiles.

The challenge? Those program details were scattered across archived proposals, post-trip reports created by planners who’d moved on and vendor contracts buried in different digital folders. She spent eight hours piecing together elements from past programs to create the proposal.

The client got their quote four days later — and booked with a competitor who responded in three hours with a fully customized program.

“I had better ideas,” she told me. “I just couldn’t access them fast enough.”

This is the hidden cost of institutional knowledge: You have it, but you can’t access it when it matters most.

The Search Problem Costing You Business

Meeting professionals have accumulated decades of valuable knowledge: site inspections, RFP responses, post-event evaluations, vendor contracts, client preferences. But when someone asks — What did we charge for transportation in Miami? Which hotel gave the best F&B concessions? What activities worked for pharmaceutical groups? — you’re hunting through files, hoping someone remembers.

Competitors are answering these questions in minutes, not because they’re smarter, but because they can surface their knowledge faster.

Enter NotebookLM: Your Institutional Memory on Demand

Google’s NotebookLM represents a different approach to AI for business. Unlike ChatGPT, which searches the entire internet and occasionally invents answers, NotebookLM works exclusively with your documents. Upload your RFP library, site reports, contracts and client files, and it becomes a searchable knowledge base that only knows what you’ve taught it.

Think of it as a research assistant with perfect recall of everything your organization has documented, available 24/7 and answering with citations to the original source material.

The mechanics are straightforward: Upload documents (PDFs, Word files, Google Docs, presentations, even audio and video files). Ask questions in plain English. Get answers pulled exclusively from your materials, complete with citations showing exactly where the information came from.

For meeting professionals drowning in documentation but starving for quick answers, it’s a game-changer.

Real Applications for Meeting Professionals

• Accelerating RFP Responses: A national DMO uploaded five years of successful RFP responses to NotebookLM. Now when an RFP arrives asking about transportation logistics for 300 attendees, their team searches: “What ground transportation solutions have we proposed for groups of 250-350?” The system surfaces three previous proposals with pricing, vendor details and client testimonials. Response time dropped from two days to four hours.
• Preserving Institutional Knowledge: When experienced meeting planners retire or move on, decades of client preferences, vendor relationships and problem-solving strategies often leave with them. One convention center began recording exit interviews with departing staff and uploading those transcripts to NotebookLM alongside their project files. New planners can now ask: “What do pharmaceutical groups typically request for breakout configurations?” and access insights from 20 years of institutional experience.
• Client Relationship Intelligence: An incentive travel company uploaded 10 years of client program evaluations and preference surveys. Before pitching a new program to a returning client, account managers query: “What activities did this client rate highest in past programs?” and “What dietary restrictions or accessibility needs have their groups had?” The result: proposals that feel personally tailored because they’re built on documented history, not assumptions.
• Vendor Management: Meeting planners managing dozens of vendor relationships uploaded contracts, pricing proposals and performance evaluations to create a searchable vendor database. Questions like “Which DMC gave us the best rates in Charleston?” or “What feedback did we get on the last three programs with this AV company?” get instant, documented answers. Negotiation leverage improved. Vendor selection became data-driven.
• Training and Onboarding: A corporate meetings team created a NotebookLM library of their standards, templates and best practices documentation. New planners search for “How do we handle vegetarian meal requests?” or “What’s our cancellation policy for contracted room blocks?” instead of interrupting senior staff with basic questions. Onboarding time is cut in half.
• Strategic Implementation: Start focused — upload documents for one recurring problem (RFP pricing, site selection, client preferences). Prove value before scaling. Organize by topic: separate notebooks for vendor contracts, client programs, site reports. Maintain quarterly: add new knowledge, remove outdated information. Share selectively: give sales teams viewer access to RFPs, operations teams editor access to vendor documentation.
• Content Creation Advantage: Beyond search, NotebookLM generates new formats from existing knowledge. Upload conference recordings and it creates podcast-style audio summaries for executives who won’t read reports but will listen during commutes. Feed it post-event evaluations and it identifies patterns no human would spot manually. One CVB uploaded their destination guide and vendor profiles. NotebookLM generated custom briefings for different client types — corporate meetings, incentive groups, associations — each highlighting relevant amenities. What took three hours now takes 15 minutes.
• What You Should Know: NotebookLM is enhanced search, not artificial thinking. It only knows what you upload. If your knowledge lives in people’s heads rather than documents, capture it first. The system handles text, images and transcribed audio, but won’t meaningfully analyze Excel spreadsheets. Organizations handling sensitive client information should use Google Workspace accounts for enterprise-grade privacy rather than free personal accounts.

The Competitive Implication

Here’s what keeps me up at night: Meeting professionals who respond to RFPs in four hours will win business from those who take four days. Planners who can instantly recall what worked for similar groups three years ago will create better programs than those starting from scratch every time. DMOs that can generate custom destination briefings in minutes will outcompete those sending generic PDFs.

The organizations winning aren’t necessarily the most experienced. They’re the ones who can access their experience fastest.

Your institutional knowledge is the steak — decades of client relationships, successful programs, solved problems and learned lessons. AI is just the sauce that helps you serve it faster. A little enhancement makes everything more effective. Too much and you’re just creating complexity.

The question isn’t whether to adopt AI tools for knowledge management. The question is whether you can afford to be slower than competitors who already have. C&IT