{"id":238160,"date":"2025-07-30T09:21:22","date_gmt":"2025-07-30T09:21:22","guid":{"rendered":"https:\/\/monday.com\/blog\/?p=238160"},"modified":"2025-07-30T09:25:34","modified_gmt":"2025-07-30T09:25:34","slug":"pavilion-x-monday-com-webinar","status":"publish","type":"post","link":"https:\/\/monday.com\/blog\/product\/pavilion-x-monday-com-webinar\/","title":{"rendered":"From hype to high impact: How real revenue teams are winning with AI"},"content":{"rendered":"","protected":false},"excerpt":{"rendered":"","protected":false},"author":5,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"pages\/cornerstone-primary.php","format":"standard","meta":{"_acf_changed":false,"_yoast_wpseo_title":"","_yoast_wpseo_metadesc":"","monday_item_id":11238933594,"monday_board_id":0,"footnotes":"","_links_to":"","_links_to_target":""},"categories":[13906],"tags":[],"class_list":["post-238160","post","type-post","status-publish","format-standard","hentry","category-product"],"acf":{"parse_from_google_doc":false,"content_doc":"

A recap of the Pavilion x monday.com webinar: \u201cThe AI-Powered Revenue Org\u201d<\/b><\/p>\n

TL;DR:<\/b> In this Pavilion x monday.com session, two revenue leaders break down what <\/span>real<\/span><\/i> AI adoption looks like in modern sales and RevOps orgs featuring EAG CEO Elizabeth Gerbel and monday CRM Sales Manager Christopher Douglass.<\/span><\/p>\n

AI might be the most talked-about trend in sales and marketing right now, but for forward-thinking revenue leaders, the question is no longer <\/span>if<\/span><\/i> to use AI, but <\/span>how to use it well<\/span><\/i>.<\/span><\/p>\n

In a recent Pavilion webinar hosted by monday.com, two seasoned operators, <\/span>Elizabeth Gerbel<\/b>, CEO of consulting firm EAG, and <\/span>Christopher Douglass<\/b>, Sales Manager at <\/span>monday.com<\/span><\/a>, shared how they\u2019re using AI not as a gimmick, but as a strategic multiplier for their teams.<\/span><\/p>\n

Here are the top three takeaways from the session.<\/span><\/p>\n

1. Start small, win fast<\/b><\/h2>\n

So how did EAG bring AI into their workflows successfully without overwhelming their team or their tech stack? It started with small, strategic wins.<\/span><\/p>\n

Elizabeth described EAG\u2019s AI journey not as a sweeping overhaul, but as a series of small, practical experiments, each tied to a clear business outcome. The first success? A lightweight rollout of ChatGPT among the executive team, helping them reduce time spent on repetitive work like PowerPoints, content drafts, and client emails.<\/span><\/p>\n

\u201cOnce you start using it, it\u2019s like a crank, you just want to keep going.\u201d – Elizabeth Gerbel, CEO, EAG<\/span><\/i><\/p>\n

That early momentum built confidence and curiosity. As the team began to see real value, they started exploring how AI could assist with tasks like summarizing call notes, generating outreach templates, or surfacing timely lead insights.<\/span><\/p>\n

Her advice for leaders just getting started? <\/span>Don\u2019t aim to transform everything at once.<\/b> Instead, focus on one high-impact use case, test it thoroughly, and expand from there. Quick wins build buy-in and show your team what\u2019s possible.<\/span><\/p>\n

\u00a02. Measure ROI in time saved and focus gained<\/b><\/h2>\n

With that early traction, the next hurdle was proving AI\u2019s value. Not in theory, but in day-to-day execution.<\/span><\/p>\n

Elizabeth was clear: the most important ROI metric for AI isn\u2019t just revenue, it\u2019s <\/span>time<\/span><\/i>. Her team evaluates every tool through a simple lens:<\/span><\/p>\n

\u201cIs it saving us time? Is it generating real value? Is it worth scaling?\u201d – Elizabeth Gerbel<\/span><\/i><\/p>\n

This mindset helps EAG filter out hype and focus on tools that multiply their team\u2019s capacity. For example, ZoomInfo\u2019s AI-powered insights help surface key account data automatically, and ChatGPT accelerates messaging and content creation, allowing the team to reallocate time toward strategy and execution.<\/span><\/p>\n

Cost structure also matters. While consumption-based AI pricing models can spiral if left unchecked, flat-rate pricing provides stability and encourages experimentation. But even then, Elizabeth emphasized the need for <\/span>clear governance<\/b>, sharing an anecdote about accidentally burning through monday.com AI credits in a single day after one team member used the feature without guardrails in place.<\/span><\/p>\n

The bottom line? <\/span>AI tools should buy back your team\u2019s focus, not add noise or financial unpredictability.<\/b> Time saved is only valuable if it\u2019s spent on the work that matters.<\/span><\/p>\n

3. AI is only as good as your data<\/b><\/h2>\n

But none of it would have worked without a solid foundation. Because when it comes to AI, your inputs matter more than your ambition.<\/span><\/p>\n

AI doesn\u2019t magically fix broken processes. In fact, it magnifies them. As Elizabeth Gerbel put it, \u201cTo get the value out of AI, you have to have solid data.\u201d Without clean, centralized, and trustworthy inputs, even the most advanced AI tools will produce irrelevant, or worse, misleading results.<\/span><\/p>\n

EAG\u2019s early experimentation with AI revealed a painful truth: their CRM data was inconsistent, scattered, and in many cases, unusable. Data lived in spreadsheets, email inboxes, Smartsheet tabs, and legacy systems. None of it was structured well enough to support intelligent automation, let alone personalization at scale or predictive forecasting.<\/span><\/p>\n

Rather than try to clean the old system piecemeal, the EAG team made a bold move: they <\/span>rebuilt their CRM from scratch inside monday.com<\/b>, starting with zero data. From there, they manually imported only what they trusted, focusing on verified leads, contacts, and accounts, cleaning as they went.<\/span><\/p>\n

It was time-consuming, yes. But it was worth it.<\/span><\/p>\n

\u201cNow we have a lot less data, but it\u2019s good data. And that allows us to use AI confidently, without second-guessing the outputs.\u201d – Elizabeth Gerbel<\/span><\/i><\/p>\n

The team also integrated ZoomInfo to enrich their records automatically, then reviewed that data regularly to catch gaps or inaccuracies, particularly with global companies where ZoomInfo sometimes misaligned HQ vs. regional contacts.<\/span><\/p>\n

With clean data in place, EAG unlocked several high-impact AI use cases:<\/span><\/p>\n