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AI-Ready Or Not?

AI-Ready Or Not?

De : Travis Scott
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Most companies are buying AI tools. Almost none of them have the data, processes, or systems in place for those tools to deliver. The CRM is a mess. The processes aren't written down. The tribal knowledge is locked in three people's heads. Then the AI gets layered on top, and nobody understands why it doesn't work. AI-Ready or Not is the show about fixing the foundation first. Host Travis Scott talks with founders, operators, authors, and practitioners about how they're actually using AI. What's working. What's not. What they had to do to make it work. New episodes every two weeks.©️RainierDigital LLC 2026 Economie
Épisodes
  • How AI Gave a Vacation Rental Business Confidence to Scale

    How AI Gave a Vacation Rental Business Confidence to Scale
    Oct 6 2026
    Scott Dinan thinks the thing that holds most business owners back from scaling is not money or demand. It is confidence, and the fear that everything will break once the business gets bigger. Running a vacation rental management company on Florida's Gulf Coast, he has plenty that can break: guest messages around the clock, maintenance calls that cannot wait, owner accounting. AI did not make that work disappear. It gave him systems that catch what gets missed, and that changed how he feels about growing."We all know business is a psychological game. You know, the only thing that holds people back, in my opinion, from scaling is confidence."About This EpisodeScott came to vacation rentals from healthcare staffing, where the COVID years taught him that $200,000 a year was not as much money as he thought. He bought his first property in 2022, started managing for other owners as a side gig in 2023, and went full time at the end of that year. Before he had a team, every guest escalation landed on him, including calls he took in a hospital hallway while his son was being born. His first hire was an executive assistant, the first step on the replacement ladder from Dan Martell's Buy Back Your Time, which he and Travis both work from in Dan's coaching program.AI came into the business in 2024, aimed at the most tedious part of the job: guest communication, especially overnight. The first tool he tried, Yada, got the team's feet wet and exposed a bigger issue. For AI to answer guests well, the business had to be organized. His team inspected every property to document details like where the electrical panel is and what size the AC filters are. Today a system called Conduit answers guests from a knowledge base for each property and handles about 65% of guest communication, which frees his guest communication team for work that moves the business forward.From there Scott built his own tools. A custom work order system, built with Claude Code, notifies vendors in real time, lets them update jobs as they go, uses checklists specific to each property, and requires photos of the finished work. In hospitality the stakes are concrete: a slow fix on an HVAC issue can cost a $5,000 to $10,000 reservation. He also built what he calls a Slack triage agent, which follows each guest's stay, posts escalations, and creates tasks so his team has the full context before they pick up the phone. He is candid that it is not finished. He puts these systems at about 60% of the way there, and he shares two recent misses: the agent mixing up properties with similar names, and a late-night cancellation that never got flagged.The conversation also covers the business side of the AI shift. Airbnb accounts for about 65% of Scott's reservations, and he says its channel fee rose from 3% to 15.5% over the past year. His answer is direct booking: capturing every guest's contact information through SuiteOp's verification portal, running campaigns through GoHighLevel and Meta ads, and hiring someone to lead it. Travis adds why the search side is shifting too, as more research starts in AI tools rather than a list of links.The episode closes on people. Travis explains why he uses AI to triage his inbox so his executive assistant can focus on work a human does better, and Scott describes a new hire who brought him a broken task management process, heard "fix it," and came back having built the work order system. Scott's summary of where this leaves a team: the AI is like everyone's direct report.About Scott DinanScott Dinan is the founder of TrustFirst Management, a vacation rental management company on Florida's Gulf Coast. Before starting it he worked in healthcare staffing, placing travel nurses in hospitals across the country. The company owns one of its properties and manages the rest. Scott has built much of the operation around AI, from automated guest communication to a custom work order system and a Slack-based triage agent, and he is now building out direct booking to reduce the business's dependence on Airbnb.Key TakeawaysOrganize before you automate - Scott's first AI messaging tool only worked once his team documented details like breaker panel locations and AC filter sizes. An AI agent is only as good as the knowledge it can draw on.Know what share of the work AI actually handles - With a knowledge base for each property, Conduit handles about 65% of his guest communication, which tells him what his team can take on next.Build around your most expensive failure - A delayed HVAC repair can cost a $5,000 to $10,000 reservation, so his work order system pushes jobs to vendors in real time with checklists and photos.Be honest about where AI still breaks - He rates his own systems at about 60% of the way there, so his focus is improving what he has rather than adding new projects.Own the guest relationship - With Airbnb at about 65% of bookings, he captures guest contact details from every channel to build repeat, direct ...
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    24 min
  • The Retention Leak: How AI Can Catch Churn Before It Happens

    The Retention Leak: How AI Can Catch Churn Before It Happens
    Sep 22 2026
    Most founders would notice a kitchen fire. A slow leak in the basement is different. Everything looks fine for months, and by the time the water shows up the damage is already done. That is how Alisha Esmail describes client retention, and it is the reason she went from running a coffee company to building Latch AI, a tool that flags which clients are slipping before they leave."It's like the leak in your basement. It's not a kitchen fire, it's not a dumpster fire, but your basement is filling with water."About This EpisodeAlisha's path into AI did not start with software. It started with a coffee company that worked directly with farmers around the world, building supply chains for female farmers and a microloan program to help them out of poverty. Running a physical product business across continents taught her where the manual work piles up, and that is where she started adding software, then agents, then AI, to buy her team's time back.The turning point was an email. At the dinner table with her family, she learned that her biggest client, half of her monthly recurring revenue, had decided to go in a different direction. She had to excuse herself from the table. That moment pushed her to become, in her words, a retention expert if she was going to build a successful company. She won that client back, and they are still a client today, but the lesson stuck: keeping a client is far cheaper and far easier than reselling them after they leave.Latch AI is the system that grew out of that lesson. It connects to the tools a business already uses, its CRM, calendar, payment system, and support tickets, and sorts every client into one of four categories: at risk, slipping, ready, or stable. Two of those are time-sensitive windows. The point is to catch someone while they are slipping, before they hit red, and to ask for the renewal or the referral at the moment the client is actually ready rather than when the business happens to need cash. Alisha also explains why she did not start with AI at all. The retention engine ran as a manual process first, then her team ran it, then automation, and only then AI. Throwing the kitchen sink at a model without a real problem and a real process is, in her view, the most common mistake people are making right now.Travis brings the revenue operations side of the same problem. Most CRMs are a mess: duplicate contacts, pipeline stages nobody defined the same way, stale deals, and historical data dragged over from two previous systems. Layer AI on top of that and it amplifies the mess. Alisha agrees without hesitation: the cleanup comes first. The conversation closes on a counterintuitive point from Travis. Companies often document why they lost a deal, but almost nobody documents why they won one, and the expectations set at the moment a client says yes are where a lot of churn is born.About Alisha EsmailAlisha Esmail is the founder of Latch AI. Her background is in international development, which led her to start a coffee company that worked directly with farmers, created streamlined supply chains for female farmers, and ran a microloan program. She went through a tech incubator and won funding to build a platform around those microloans before the pandemic put it on pause. Inside the coffee business she built an AI brain and agents to streamline the workflow, and a manual retention and client-intelligence system that eventually became Latch. Today she helps business owners keep their clients longer and grow through expansion revenue, working with an invite-only early adopter program of agencies, coaches, clinics, and other repeat-relationship businesses.Key TakeawaysRetention is a leak, not a fire - Nobody ignores a fire. Slow client loss feels like nothing is wrong, which is exactly why founders notice it too late. Treat it as urgent before it is visible.Build the manual system before the AI - Alisha ran her retention process by hand, then handed it to her team, then automated it, and only then added AI. The model speeds up a process that already works; it does not invent one.Ask at the right time - Renewals, upsells, and referrals fail when they are asked for at the wrong moment, usually when the business needs revenue. Latch's "ready" category exists to find the moment the client is actually a cheerleader.A few points of retention move profit, not just revenue - Once hard costs are covered, retained revenue can have an outsized effect on profit. In one example Alisha shares, a company that believed it retained about 80 percent of its clients discovered the real number was closer to 60 percent.Clean the CRM first - Duplicate contacts, undefined pipeline stages, and stale deals are exactly the variables AI has to grab onto. Feeding it a mess only makes the mess faster.Document why you won - Closed-lost reasons are common. Closed-won reasons almost never are, and the gap between what a client expected at yes and what got delivered is where churn starts.Chapter Markers00...
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    34 min
  • Her Business Was Going Under, Then She Saved It With AI

    Her Business Was Going Under, Then She Saved It With AI
    Jul 6 2026
    She Almost Lost the Business. Then She Rebuilt It With AI. Andrea Palacio and her husband bought a "boring" landscaping company expecting an easy win — and nearly lost everything within a month. This is the story of how she clawed it back with AI and automated it into a business that runs without her. "Those companies are losing between 30 and 40% of their revenue just because they're not answering the phone on time." — Andrea Palacio About This Episode After a decade as an entrepreneur — including seven years running an e-commerce business from a sailboat in the Caribbean — Andrea Palacio and her husband decided to buy a "boring business" and put an operator in place. The reality hit fast: within a month of acquiring a landscaping company, the manager quit and told the crew to find other jobs, staff dropped from 12 to 2, and revenue was cut nearly in half. With their home attached as SBA-loan collateral and a second baby on the way, they were working 80-hour weeks and ready to sell. Instead, Andrea went down the "YouTube University" rabbit hole and started solving her own problems with AI. In this conversation you'll hear how she put AI on every inbound phone call (answering and booking every lead automatically), how that stopped a 30–40% revenue leak, and how AI-optimized Google Ads increased their leads 20% while cutting ad spend. You'll also hear exactly how she runs ads with AI today — connecting Claude Code directly to Google Ads with an AI agent, while her non-technical husband uses Claude's Chrome extension to audit the account, catch broken links, and find ads running without landing pages. The business became automated enough that a buyer offered full asking price — so they kept it, hired an operations manager, and stepped away. That turnaround became RunCrewless.com, where Andrea now helps service-business owners build self-operating companies. A note on this episode: Andrea and I ran into internet connection problems during recording, and much of the second half of our conversation couldn't be saved. The good news: the best moments from that half were captured — find them as Shorts on the Rainier RevOps YouTube channel, including her take on the founder "productivity trap," using AI to clean up messy CRMs, and why she tells business owners to go all-in on one AI tool. About Andrea Palacio Andrea spent 10 years building and exiting businesses — an e-commerce company she ran while living on a sailboat, then a landscaping company (Mokai) she and her husband acquired and nearly lost before automating it with AI. That turnaround led her to found RunCrewless.com, where she now helps service business owners run self-operating companies using Claude Code and automation. She's also a business coach in Dan Martell's Elite program. Key Takeaways Not answering the phone quietly kills revenue — Andrea estimates service businesses lose 30–40% of revenue by missing calls. AI that answers every call and books every lead removes the leak.AI turned their Google Ads around — leads up 20%, ad spend down significantly, and the account gets audited automatically for broken links and ads with no landing page.You don't have to be technical — Andrea connects Claude Code straight to Google Ads; her husband gets the same results with Claude's Chrome extension in the browser.Automation raised the value of the business — the company became self-operating enough that a buyer offered full asking price; they kept it and stepped away instead.Solve your own problem first — Andrea started with zero AI experience; she just aimed it at the thing burning her day (the phone) and built from there. Chapter Markers (00:00) Cold Open(00:26) Meet Andrea: 10 Years From a Sailboat(01:31) Buying the "Boring Business"(03:20) The Crash: 12 Employees Down to 2(04:53) Discovering AI With Zero Experience(09:33) AI on the Phones + Google Ads(11:51) Claude Code vs. the Chrome Extension(13:52) Technical Difficulties + More From Andrea on YouTube Resources & Links Mentioned RunCrewless — Andrea's company, helping service businesses run self-operating: https://runcrewless.comDan Martell — Elite coaching program: https://www.danmartell.comClaude / Claude Code — https://claude.aiClaude in Chrome (extension) — https://claude.ai/chromeChatGPT / OpenAI — https://chatgpt.comMake.com (automation platform) — https://www.make.comUpwork — https://www.upwork.comGoogle Ads — https://ads.google.comMore from this conversation — Shorts on the Rainier RevOps YouTube channel: https://www.youtube.com/@RainierRevOps Connect with Andrea Palacio Website: https://runcrewless.comLinkedIn: https://www.linkedin.com/in/andreapalacioInstagram: @andreapalacio Connect with Travis Rainier RevOps: https://rainierdigital.comLinkedIn: https://www.linkedin.com/in/travisscott24Instagram: https://www.instagram.com/travis.revopsYouTube: https://www.youtube.com/@RainierRevOps If This Episode Resonated If your company is buying AI tools ...
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    15 min
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