# Quiz Lead Nurture Sequence (3 emails) ## Email 1 **Subject:** Your AI Readiness Score is in Your results just landed in your inbox. Go check them. I’ve scored hundreds of leaders on this, and here’s what stands out about your breakdown: if your Operations pillar is weaker than Strategy, you’re probably spending too much time putting out fires to build the systems that’d prevent them. I’ve seen it at Capgemini, in Haiti, even running my own sites. No pressure, but if you want a second opinion on where to start, I do free 15-minute AI audits. No pitch, just a concrete next step. Book one if it’s useful. Annette --- ## Email 2 **Subject:** Why I automate the boring stuff first In 1995, I built adoption.com before Google existed. Every minute I spent manually updating listings was a minute I couldn’t spend on adoptions. So I automated the repetitive tasks first. Not the flashy stuff. The boring, time-sucking ones. Same with Bone Voyage Dog Rescue: 31,310 keywords ranked because I automated content updates, not because I wrote every post by hand. Automation isn’t about cutting corners. It’s about freeing up your best people for the work only they can do. P.S. If you want to spot your own time leaks, I do free 15-minute audits. No strings. Annette --- ## Email 3 **Subject:** Your gap is still open Just a quick note: whatever your score showed, that gap’s still there. I’ve got 15 minutes this week to help you pinpoint one actionable next step. No fluff, no pitch. Book it or don’t, but if you do, come ready to work. Annette

# Revenue Leak Report Lead Nurture Sequence (3 emails) ## Email 1 **Subject:** Your Revenue Leak Report is on its way I got your submission for the Revenue Leak Report. I’ll review it personally within the next 2 business days. I cap these at 5 per week so I can give each one real attention. One quick insight: in businesses like yours, the most common revenue leak I see is time spent on manual processes that could be automated. Whether it’s invoicing, client follow-ups, or data entry, those hours add up fast. If you’d like to talk before the report arrives, I offer a free 15-minute audit call. No pressure, just a chance to dig in. You can book it here: [contact.html](https://verityagentic.ai/contact.html). Looking forward to getting you the report soon, Annette --- ## Email 2 **Subject:** The leak nobody looks for Your Revenue Leak Report should be in your inbox by now. Here’s a lesson from my own work that might resonate: When I ran adoption.com in the 90s, we processed every adoption inquiry by hand. It took hours daily, and inquiries were slipping through the cracks simply because nobody had time to follow up fast enough. I built a simple system to categorize and route them automatically, and the inquiries stopped falling through. Same story later at Bone Voyage Dog Rescue: the leak wasn’t a lack of effort, it was a manual step nobody had gotten around to fixing. The fix didn’t require fancy tech or a big budget. It just needed someone to step back, identify the leak, and implement a solution. P.S. If you’d like to discuss your report, I offer a free 15-minute audit call. You can book it here: [contact.html](https://verityagentic.ai/contact.html). Annette --- ## Email 3 **Subject:** Your gap is still open It’s been a week since you requested the Revenue Leak Report. If you haven’t acted yet, that gap is still open. I’m not here to pitch you anything. I’m here to help you close that leak. I offer a free 15-minute audit call to dig into your specific situation. Book it here: [contact.html](https://verityagentic.ai/contact.html). No fluff, no strings. Just 15 minutes. Annette

# LinkedIn Thread Drafts ## Thread: Why 80% of AI Projects Fail (And the 4 Things That Make the 20% Succeed) ### Post 1 Let’s get straight to it: 80% of AI projects fail. That’s not vague hype. It’s data. RAND Corporation’s 2024 study found that more than 80% of AI projects fail to deliver business value. MIT’s NANDA initiative found 95% of enterprise generative AI pilots fail to deliver measurable impact. And S&P Global’s 2025 report shows 42% of companies abandon most AI initiatives before they even reach production. Why? It’s not the tech. The tech works. The failure is in how organizations deploy it. I’ve built systems since 1995, from adoption.com to humanitarian ops in Ethiopia and Kenya, and I’ve seen this pattern before: systems that look good on paper collapse in the field. AI is no different. ### Post 2 The first reason AI projects fail is simple: nobody defined the problem. RAND’s research found that misunderstanding the problem is the leading cause of failure. Teams build models optimized for the wrong metrics or workflows that don’t fit the business context. Example: “We want to use AI for customer service.” That’s not a problem definition. It’s a tech decision in search of a problem. The right question is: what specific, measurable outcome are we trying to move? Call resolution time? First-contact resolution rate? Cost per ticket? Without precision, the data team builds toward one target, the business team expects another, and everyone’s disappointed. ### Post 3 The second reason AI projects fail: the data isn’t ready. Across all studies, dirty, fragmented, or inaccessible data is the biggest technical contributor to failure. Informatica’s 2025 survey found 43% of respondents cited data quality as the top obstacle to AI success. A Capital One survey of enterprise data leaders found 73% identified data quality and readiness as their biggest challenge. AI models can’t perform miracles. If your data’s a mess, your AI project will be too. ### Post 4 The third reason AI projects fail: nobody asked the people who’ll actually use it. MIT’s NANDA initiative found that a lack of trust and understanding among end users is a major barrier to adoption. Too often, technical teams build something that works beautifully in testing, but the people who were supposed to use it keep using their spreadsheets. Nobody asked the operations team whether they trusted it, understood it, or had any reason to adopt it. ### Post 5 The fourth reason AI projects fail: organizations expect too much, too fast. Gartner’s 2025 survey found 57% of leaders who reported failures said their projects failed because they overpromised. AI isn’t a magic wand. It’s a tool. The companies that succeed start small, with specific, measurable outcomes. They don’t try to boil the ocean. They focus on one decision they make over and over that they’d make better with more intelligence. ### Post 6 So, what does the 20% that succeed do differently? They define the problem precisely. They clean their data. They involve the people who’ll actually use the system. And they manage expectations. It’s not glamorous, but it works. I’ve built systems hands-on since 1995, from adoption.com to AI-driven SEO for Bone Voyage Dog Rescue. I know what implementation actually involves, not just what the slide decks say. ### Post 7 If you’re thinking about AI, start with clarity, not hype. Define the problem. Clean your data. Involve your team. And manage expectations. If you’re not sure where to start, take our free AI Readiness quiz or book a 15-minute AI audit call. No pressure, no pitch. Just clarity. #AI #ArtificialIntelligence ## Thread: Stop Buying AI Tools. Start Building AI Systems. Here's the Difference. ### Post 1 I talked to a consulting firm last quarter that had eleven AI tools. Eleven logins. Eleven things to manage. $3,000/month. And almost no time saved. Why? They’d built a more expensive version of the same manual workflow. Instead of writing emails, they were prompting emails. Instead of drafting proposals, they were pasting text into tools and editing outputs. The friction shifted. It didn’t disappear. I’ve been building systems since 1995 (yes, before Google). Here’s what I know: a tool requires a human to activate it every time. A system runs whether you’re there or not. That’s not semantics. It’s the whole game. ### Post 2 Let’s define terms. A tool is something you use. You open ChatGPT, type a prompt, copy the output, paste it elsewhere. Without you, nothing happens. A system is something that runs. A lead fills out your form, the data enriches via API, scores against your ideal profile, updates the CRM, triggers emails, notifies sales, all without human intervention. Tools give you leverage when you show up. Systems give you leverage when you don’t. Gartner says 40% of enterprise apps will include task-specific AI agents by 2026 (up from <5% in 2025). The market’s realizing: real value is in workflows, not writing assistants. ### Post 3 Why do we keep buying tools instead of building systems? Three reasons: 1. **Instant gratification**: Tools show results in 30 seconds. Systems require design, integration, and testing before they “feel” like anything. 2. **Lower commitment**: A $49/month subscription is easy. System builds need architecture, time, and sometimes a consultant (hi). 3. **Better marketing**: Tool demos show perfect scenarios. Nobody advertises “thoughtful workflow orchestration.” McKinsey found 88% of companies use AI, but two-thirds haven’t scaled it. Only 5.5% drive real value. ### Post 4 The failure rates should scare you. - 80% of AI projects fail (RAND, 2024), double the rate of non-AI tech projects. - 42% of companies abandoned most AI initiatives in 2025, up from 17% in 2024 (S&P Global). - Gartner predicts >40% of agentic AI projects will be canceled by 2027 due to cost, unclear value, or poor risk controls. This isn’t AI failing. It’s implementation failing. ### Post 5 Five real comparisons: Tool vs. System 1. **Lead qualification**: Tool version, sales pastes names into ChatGPT for cold emails, maybe 10/hour. System version, a new contact enriches automatically, scores against your ideal customer profile, gets assigned to the right rep, and triggers a personalized first email, all in under three minutes. 2. **Customer support triage**: Tool version, an agent reads each ticket and reassigns it by hand, all day. System version, tickets get classified and routed automatically, routine questions get answered from your knowledge base, and only the complex ones reach a human. (Financial reporting, content publishing, and client onboarding follow the same pattern, more in the comments if you want them.) ### Post 6 Building systems isn’t about flashy tech. It’s about: - Identifying repetitive tasks that don’t need human judgment. - Designing triggers (like form submissions) to start workflows. - Connecting outputs to the next step automatically. I built Bone Voyage Dog Rescue’s site to rank for 31,310 keywords using AI-driven SEO. Not because I love keywords, but because adoptable dogs needed visibility. ### Post 7 If you’re drowning in tools but not seeing ROI, I get it. I’ve audited dozens of AI “stacks” that are just disconnected subscriptions. Take the free 3-minute AI Readiness Quiz at verityagentic.ai or book a 15-minute audit call. No pitch, just a reality check. #AI #SystemsThinking

I build AI systems that run a small business's busywork: intake, follow-ups, routing. Building internet businesses since 1994. Founder, Verity Agentic.

I've been building internet businesses since 1994, back when you had to explain what a browser was. adoption.com. An online TESOL certification company that competed head to head with international teacher recruiters. SEO that ranked a dog rescue site for 31,310 keywords with zero ad budget. Now I build AI systems for 1-to-10-person businesses through Verity Agentic. Client intake, follow-ups, routing: the busywork that eats an owner's week. No hype, no six-month deployments. Systems that run without you. If you're spending hours on work that could automate itself, book a free 15-minute AI audit at verityagentic.ai. I'll tell you straight whether AI can fix it. No pitch. Happy to encourage and help other entrepreneurs figuring out AI!

Name: Verity Agentic LinkedIn URL: linkedin.com/company/verity-agentic Tagline: AI systems for small businesses. Built to run without you. Website: https://verityagentic.ai Industry: Business Consulting and Services Company size: 0-1 employees About: Verity Agentic builds AI systems for 1-to-10-person businesses: client intake, follow-ups, routing, the busywork that eats your week. Founded by Annette Thompson, building internet businesses since 1994. Book a free 15-minute AI audit at verityagentic.ai: a straight answer on whether AI can fix your busywork, no pitch.