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  "description": "Agents are changing everything. Outside and in. MING Labs designs the enterprise that works alongside AI agents — discoverable outside, productive inside.",
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  "contentMarkdown": "---\ntitle: \"MING Labs — Agents are changing everything\"\ndescription: \"Agents are changing everything. Outside and in. MING Labs designs the enterprise that works alongside AI agents — discoverable outside, productive inside.\"\ncanonical: https://www.minglabs.com\nlang: en\nlast-updated: 2026-09-18\n---\n\n# Agents are changing everything. Outside and in.\n\nAI agents are becoming your new customers. And your new colleagues. We build enterprises that work with both.\n\n[Agents as customers](/agent-experience) [Agents as colleagues ](/hybrid-organisation)\n\n## Trusted by enterprise leaders\n\n## Two transformations.  \nOne partner.\n\n[](/agent-experience)\n\n### AI agents are your  \nnew customers.\n\nThey have budgets. They make decisions. And they can't use a single thing on your website. Your configurators, your pricing logic, your domain expertise. All locked behind UIs agents can't use.\n\nWe open three doors: Discover. Trust. Act.\n\n[Open the door ](/agent-experience)\n\n[](/hybrid-organisation)\n\n### AI agents are your  \nnew colleagues.\n\n~40% of expert time is structured routine: reports, follow-ups, data preparation. Qualified people, locked in repetitive work. Agents now handle 60%+ of it.\n\nWe redesign organisations around human-agent teams. Not a technology project, an operating model.\n\n[Redesign work ](/hybrid-organisation)\n\n## Why this team, this moment.\n\n15 yrs\n\n### Domain depth you can't compress.\n\nFifteen years inside complex enterprise systems. How the work runs, how deals close, where the hard problems hide. No one catches up on that in months.\n\n[Our work ](/work)\n\n6 autonomous agents\n\n### We rebuilt ourselves from the inside.\n\nSeven agents on staff, in a three-founder company. They run sales, delivery, strategy, and operations. We didn't adopt the agent shift. We became a Hybrid Org.\n\n[Hybrid Organisation ](/hybrid-organisation)\n\n2 gates\n\n### One surface agents find and use.\n\nA brand-owned Agent Surface, rendered for people and served structured to agents from one source. It wins on both gates: visibility, where agents find you, and usability, where they transact.\n\n[Agent Experience ](/agent-experience)\n\n## Voices\n\n> MING Labs played a crucial role in the early stages of developing our analytics platform. They quickly understood key priorities, generated valuable insights, and rapidly grasped the intricacies of our subject matter.\n\nMunish Myer Johnson & Johnson\n\n \n\n## Enterprise AI.  \nIn production.\n\nThree patterns we've shipped with enterprise clients. Each one started as a human-facing product. Each one now has to work for agents too.\n\n[See our work ](/work)\n\n### AI Product Finders\n\nYour customer describes a problem. The AI finds the right product out of thousands. We built this for humans. Now agents need the same logic. Mann+Hummel, Stöckli.\n\n### AI Companions\n\nThe customer never starts over. Context follows across every interaction. Agents work the same way. They need context, not a blank slate. Bosch.\n\n### AI Sales Enablement\n\nSales calls with full buyer context. Every touchpoint, every interest assembled before the first hello. When the buyer is an agent, this context becomes the API response. Voith.\n\n## We don't just consult.  \nWe build the proof.\n\nThree internal bets: two ventures and the operating model we run them inside. Our own organisation, our own platform, our own architecture. The things we're betting on before we recommend them to anyone else.\n\n### Our Hybrid Organisation\n\nReports at 5 AM. Inbox processed before coffee. Meeting briefings in 8 seconds. AI agents work alongside our team as colleagues with roles and responsibilities. Our own company as proof.\n\n### Hyperize \n\nWe don't just consult on agent readiness. We built the platform. Hyperize makes your brand the one agents discover, trust, and act through. Our venture.\n\n### Knowledge Graph\n\nIndustrial pricing in minutes, not days. Knowledge Graphs ground LLMs in structured domain truth: pricelists, test reports, expert rules. Generative AI without the guesswork. First enterprise deployment in production. Our bet on deep vertical AI.\n\n## 15 years. Same three  \nfounders. Still shipping.\n\nShanghai apartment → iPhone apps → digital design → business transformation → agent experience engineering.\n\n50+ enterprise clients. Bootstrapped. Profitable. No VC.\n\nMatthias Roebel\n\nFounding Partner\n\nSebastian Mueller\n\nFounding Partner\n\nMarc Seefelder\n\nFounding Partner\n\n[More about us ](/about)\n\n## Perspectives from the field.\n\nField notes and essays from inside agent rollouts. Written by the people doing the work, updated as we learn.\n\n[All insights ](/insights)\n\n[\n\n### We made our agents email people. That's when the AI started working.\n\nYour AI doesn't fail in the model. It fails in the last mile.\n\nSebastian Mueller · May 2026\n\n](/insights/articles/the-last-mile)\n\n[\n\n### You don't deploy an agent. You hire one.\n\nStop shopping for tools. Start writing job descriptions.\n\nSebastian Mueller · May 2026\n\n](/insights/articles/hire-dont-deploy)\n\n[All insights ](/insights)\n\n## What we learn running agents. Sent to you.\n\nLessons from inside real agent rollouts, ours and our clients’: the wins, the failures, and what they actually cost. Written by the people doing the work, readable in minutes, useful the same day.\n\n**Just your email, nothing else.** Unsubscribe in one click, any time.\n\n### Field Notes\n\nEvery two weeks\n\nFresh from the field. We put AI agents to work inside real companies every day: hundreds of projects so far. You get what worked, what failed, and the playbooks we built along the way, so you learn from our mistakes instead of making your own.\n\n### The Benchmark\n\nQuarterly\n\nWe read every major piece of AI-agent research, then hand you the few numbers that actually matter. Your next decision on agents: backed by data, not hype.\n\n### Best Practices\n\nComing soon\n\nThe most impressive AI agents running inside major corporations right now: real demos, videos, and snapshots, each with the one insight worth copying. Twice a year, and worth the wait.\n\n## Success stories.\n\nExplore how we've built AI products for enterprise leaders.\n\n[All work ](/work)\n\n [![MANN+HUMMEL — AI Product Finders case](/_astro/mannhummel-case.Cs84TVp_.webp)\n\n![MANN+HUMMEL](/_astro/mann-hummel.DV85E96F.svg) AI Product Finders\n\n### 3,000 SKUs narrowed to one recommendation.\n\nRead case study](/work?case=Mann%2BHummel)\n\n [![Bosch — AI Companion case](/_astro/bosch-case.Da50gtFX.webp)\n\n![Bosch](/_astro/bosch.Dm3WUh-J.svg) AI Companion\n\n### Context that persists across sessions.\n\nRead case study](/work?case=Bosch)\n\n [![Voith — AI Sales Enablement case](/_astro/voith-case.Dp4OQA-J.jpg)\n\n![Voith](/_astro/voith.B7Wq-RVU.svg) AI Sales Enablement\n\n### Full buyer context before the first sales call.\n\nRead case study](/work?case=Voith)\n\n[All work ](/work)\n\n## The defaults are being set  \nright now.\n\nTwo positions are wide open. Outside, AI assistants cite zero brands on generic queries. Inside, ~40% of expert time goes into structured routine. Neither will stay open.\n\nFirst movers don't just win a position. They compound. Every interaction builds data that makes the next one more likely.\n\n[See where I stand ](/score)\n\n## Start where the pressure  \nis highest.\n\nAgent Experience\n\n### Your next customers  \nare agents.\n\nFind out if they can find you.\n\nAgent Readiness Score. Free, 48 hours.\n\n[Get my score ](/score)\n\nHybrid Organisation\n\n### Your team is drowning  \nin routine.\n\nSee where agents take over.\n\nHalf-day workshop. Three roles. One concept paper.\n\n[Discuss a workshop ](/contact?type=hybrid)\n\nMatthias or Sebastian reply personally.\n\n## Available actions\n\n- **Get Field Notes**: use the form on this page in a browser. Fields: Your email (required).\n- **Copy briefing for my AI**: copies the [AI briefing](https://www.minglabs.com/briefing.md) to the clipboard in the browser.\n\n---\n\nCanonical: https://www.minglabs.com\nMachine-readable index: https://www.minglabs.com/llms.txt\n",
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