About
Founder and CEO at BotDojo. https://botdojo.com
Articles by Paul
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Your AI agent needs to see what your users see
Your AI agent needs to see what your users see
Most AI agents are built to react. Customer has a problem → asks a question → agent tries to help.
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What Analyzing Every Customer Conversation Reveals About Your Product
What Analyzing Every Customer Conversation Reveals About Your Product
Every support ticket tells a story about where your product or documentation falls short. When users reach out for…
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Hard Lessons Learned from Deploying AI Agents
Hard Lessons Learned from Deploying AI Agents
Over the past year, we've helped companies put thousands of AI agents to work. These agents have handled everything…
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Activity
2K followers
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Paul Henry posted thisBotDojo has officially joined Mitratech! Our team is joining Mitratech to accelerate the ARIES™ AI roadmap, bringing governed AI agents directly into the systems legal teams already use. We built BotDojo to help AI agents do real work alongside people. We're excited to bring that vision to more teams with Mitratech. Thank you to our customers, partners, investors, and the BotDojo team for helping us get here. I'm proud of what we've built and excited for what comes next. See you at Mitratech Interact!
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Paul Henry posted thisWe have been building in AI Agent for over 2 years. The first year, you had to build everything. Every agent, every workflow, every integration — all requiring a developer in the loop. It worked but was limited. Six months ago we made one big shift: we stopped building tools to build agents and started building tools for agents to use. Every time we were the bottleneck we added tools and skills. Last 4 months: doubled volume, tripled revenue, first profitable month. We stopped getting in the way. Customers and AI Agents started building for themselves. It's not the model. It's the environment. Tools. Skills. A real workspace. A feedback loop that compounds every time you interact with an agent.
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Paul Henry shared thisExcited to announce the Interactive Agent SDK from BotDojo. We kept running into the same problem: AI agents on websites can only be so helpful. They can chat, answer questions, maybe pull some data—but they're blind to what the user is actually looking at and limited to simple text responses. They can't see the UI. They can't take action on it. That's the context gap, and it's what we built this SDK to solve. Now your agents get UI visibility and the ability to act on what they see—not just respond to what users type. They can highlight where to click next, auto-fill fields, and render custom widgets inline (charts, tables, step-by-step checklists) for richer, more helpful experiences. It's built on the open MCP standard, integrates into your existing website, and connects to your stack. 🔗 See it in action at https://lnkd.in/gPQwCMRc and tell us what you think
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Paul Henry reposted thisPaul Henry reposted this"the intelligence isn’t the bottleneck anymore. Context is." We are hearing this more and more from customers as coding agent adoption becomes ubiquitous. Context is where teams get the most leverage and productivity gains from their existing AI tooling. Historically "context" meant engineers writing and maintaining internal documentation. This doesn't scale with the pace of coding agent fueled software development. Engineering teams and coding agents new ways of capturing, maintaining, and sharing knowledge.
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Paul Henry shared thisThe boring work AI is actually great at Most companies have a quiet, expensive problem: their operational data is wrong, and it stays wrong until something breaks. Phone numbers drift. Addresses change. Clinics rebrand, move, or close. You only notice when a customer complains, or when someone drives to a location that doesn’t exist anymore. The fix is obvious: verify everything regularly. The catch is cost. Verifying 10,000 provider locations isn’t “admin work.” It’s weeks of web research, calls, cross-checking sources, documenting evidence, and still missing edge cases. You’d need a team for months. Nobody budgets for that, so the data rots. ContactWorks ran into this exact wall with a healthcare client facing a compliance deadline: 10,000+ locations needed verification, fast. The math didn’t work with humans alone. ContactWorks was able to automate with BotDojo in a day. AI agents do the research, cross-reference sources, and attach evidence. The system flags confidence levels (and disagreements between sources). Humans review the edge cases instead of wading through the whole pile. What surprised us: 90% of records had meaningful updates—wrong numbers, closures, rebrands, address changes. Things that would’ve stayed broken indefinitely. Cost-wise: about 20x cheaper than manual verification. Then another roughly 8x improvement after we optimized which models handled which parts of the workflow. George from ContactWorks said: “First try, it worked great. Changes how we run our business.” That’s the real shift: this stops being a one-time data cleanup project. It becomes a weekly routine. Accuracy compounds instead of decay. That’s the unlock—not replacing humans, but doing the work that was never economically viable before. Full story: https://lnkd.in/g7GXPY-b
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Paul Henry shared this10B tokens used! I’m thinking of a time years ago when I finally understood that discipline beats motivation and that every great achievement starts with a single intentional step… just kidding — we just shipped a lot of stuff.
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Paul Henry shared thisLoved working with Luke Tobin and his amazing team on getting Luke Tobin AI launched. Can’t wait to see the wins it creates for founders.Paul Henry shared thisI worked with BotDojo to pull off Luke Tobin AI. There are AI projects everywhere right now… Most of which never get off the ground, and the ones that do are useless for founders. But BotDojo knew what was up. They’d seen why 95% of AI projects fail, and they’d already started fixing the problem. So I sat down with Chris - virtually (it is 2025 after all). Talked through the scars and mistakes I’d made as a founder. And asked: how do we turn that into something useful for others? A few months later, Luke Tobin AI was live. A tool I wish I’d had back when I was in the founding trenches. And the only reason it exists is because of BotDojo. They closed the gap I couldn’t close on my own. If you’re curious, have a look here: https://lnkd.in/eTucMYb8 Work with BotDojo: https://lnkd.in/ehh-atVT ♻️Repost to help other founders in your network. 🔔Follow Luke Tobin for more game-changing founder advice.
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Paul Henry reposted thisPaul Henry reposted thisA recent study from MIT underscored the difficulty of building out homegrown AI solutions. While it's often the case that large enterprises have the resources to build out their own solutions for enterprise AI infra and workflows, it's somewhat of a mixed bag for everyone else. And even for large enterprises, it's often critical to decide what to prioritize your own resources on vs. get "off the shelf". Early in the AI wave especially, it was necessary to build out a lot of this technology yourself, no matter your size. There just wasn't a lot of tooling early on, so companies had to cobble together a mix of technologies to get AI working in their environment. But now the set of things you need to get right to deploy AI Agents at scale is just very complex. Most enterprises have to build their own systems to operate on data, pre-process the data to get it ready for AI, manage the vector embeddings, handle access controls, build systems that can connect to any AI model, add in an agentic layer of features, create user interfaces for accessing these agents, and so on. Then you multiply this number of services by the rate of change that's happening in AI, and you get a very unwieldy proposition for *most* companies. Just as one data point, to power Box AI, we have had to build out the equivalent of a couple dozen different distinct services to be able to bring AI agents to enterprise content workflows. If every single enterprise had to replicate this tech stack on their own, it would be completely infeasible at scale. Over the coming years, many of these different services will continue to compress into various platforms. It will be incredibly important for enterprises to pick their AI platforms wisely as building future-proof architectures that can take advantage of the latest breakthroughs will remain one of the most important design decisions for IT orgs taking their companies AI-first.
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Paul Henry liked thisPaul Henry liked thisCody DeArmond joined ShipStation as one of its first sales reps, working out of a small office with 20-25 other people. 12.5 years and a merger later, he's now VP of Sales at ShipStation Global watching that same customer-first culture scale into something much bigger. 📦
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Paul Henry liked thisPaul Henry liked thisWe are pleased to share that Laura Thorn has joined ClearGov as Chief Customer Officer. Appreciation to Lead Edge Capital for placing their confidence in Bespoke's Go-to-Market Practice on this search. Peterson Loftin, Quang Phan, and Robert Rae brought disciplined execution to identifying a customer leader positioned to drive retention and growth at ClearGov. Wishing Laura continued success as she steps into this role. #executivesearch #privateequity #leadershipdevelopment
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Paul Henry liked thisPaul Henry liked thisBREAKING: Leopold Aschenbrenner just bet on a $400M stealth chip startup. The former OpenAI researcher who predicted the AI arms race is now backing Source Foundry, a private company aiming to reinvent how chips are manufactured. $400M raised. Stealth until now. Valued at $5B. This isn't a software play. Aschenbrenner is going deep into the physical stack, betting the next leverage point in AI isn't models, it's the machines that make the chips. The people who see what's coming earliest are moving into semiconductor infrastructure. Is the real AI race happening in hardware now?
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Paul Henry liked thisPaul Henry liked thisThat feeling when you see the first customer use a feature your team has been working on for months…and it goes perfectly. It’s a good one…🚀🚚📦
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Paul Henry liked thisPaul Henry liked thisSometimes life has a wonderful way of bringing you full circle. I'm so excited to finally share that I accepted a role at Billtrust as the Head of Executive Operations. What makes this opportunity even more meaningful is the chance to work alongside Catherine Duke, SHRM-SCP again. Four years ago, Catherine took a chance on me and invited me to join her team at Auctane in Executive Operations. Together, we built programs, strengthened processes, and, most importantly, created experiences that put people first. Catherine, thank you for believing in me then...and for believing in me again. I'm so grateful for this opportunity and can't wait to see what we accomplish together in this next chapter. Hearing CEO, Grant Halloran, talk about the importance of culture immediately resonated with me. Anyone who knows me knows how passionate I am about creating workplaces where people feel valued, supported, and inspired. When people come first, amazing things happen and it's so clear that's something Billtrust truly believes in. I've always believed that every person we meet has something to teach us. Every leader who has trusted me, every teammate who has challenged me, every mentor who has invested in me, and every friendship I've made along the way has helped shape who I am today. For that, I'll always be grateful. I'm excited to learn, contribute, build new relationships, and help support an incredible leadership team as Billtrust continues to grow. The future is bright, and I couldn't be more excited to be part of it. If your organization is looking for a smarter way to accelerate cash flow and simplify accounts receivable, I encourage you to take a look at what Billtrust is doing. Here's to new beginnings, new friendships, and the opportunity to make a positive difference every single day.
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Paul Henry liked thisPaul Henry liked thisAfter a great year with OpenTeams, I am taking the plunge and going full time on my startup Golden Hour Technologies, inc. building the nervous system for physical AI. Keep your eyes posted for updates over the next few weeks! Thank you Travis Oliphant and Dave Oldham for the mentorship and opportunities!
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Paul Henry liked thisPaul Henry liked thisExciting news - Mesh Mesh, Inc has officially joined Salesforce! David DeVore, Calvin Hoenes, and I are joining the Enterprise Technology organization where we’ll expand internal access to the agentic intelligence platform built to automate Salesforce implementations and operations. We’ll also be integrating our automated evals and reinforcement learning loops into the Salesforce platform. Thanks to everyone that supported us on this journey. From the executive champions to the solution consultants and technical architects that provided feedback and collaboration along the way. A special shout out to Jake Miller and Jim Goldman for helping us bring enterprise security to our product from the start, and to Tim Page, CPA, Trevor Mason, and Mark Umstead, CPA for helping us drive our finances and operations, and Nahele Moon for helping us with engineering. I couldn’t be more proud of what we were able to build at MeshMesh, and we’re just getting started! See you at Dreamforce!
Experience & Education
Courses
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Advanced Track of Introduction to Artificial Intelligence
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Organizations
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Pi Kappa Alpha
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- Present
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