Today, we're launching the Atomicwork AI Workforce, and we believe this is one of the most significant shifts in how enterprises get work done. For the past decade, organisations have been building AI into their workflows. But the unit of operation that enterprises are actually built on has never been a task or a workflow. It's always been a person. Someone who owns a role, shows up with context, asks for help when they need it, and gets better over time. Every dimension your organisation already uses to manage people applies to the Atomicwork AI Workforce. Identity, job role, access, budget, performance. An AI coworker has a name, a defined scope, a human manager, and the tools to see work through from start to finish. The operating model is the same one your organisation has run on for decades. What's changed is that the technology to make this real has finally arrived, and for the first time, all the pieces are ready at the same time and they compose. We're not asking teams to rethink how they work. We're giving them a workforce that works the way they already do. Read more about what this means for your organisation Welcome to the #AtomicworkForce! @amnigos @kirandarisi @parsurv @AparnaChugh @rwmesh @leningali

We’re all set at the Palace Hotel for our second addition! We can’t wait to see you tomorrow 🚀

We’re 24 hours away from Atomicwork Fusion '26. Excited to meet 150+ CIOs and CXOs to discuss what changes when the AI Workforce joins the enterprise. How do human teams and AI Coworkers work as one workforce? It calls for a new operating model: Verifiable identity, clear job roles, shared enterprise context, IT oversight and human accountability for outcomes. We have an incredible lineup of leaders bringing firsthand perspectives to this conversation. See you all tomorrow.

. @ksr_swamy, Chief AI Officer at @Zscaler, joins FUSION'26! Security used to mean keeping AI out — now it's about bringing it in safely, his exact mandate at one of the world's top security companies. Sept 29, Palace Hotel, SF. Request your invite: fusion.atomicwork.com

Happening now at Oktane 🔴 | We're live in Alliance 311 📍 @AparnaChugh with Mark Gill of @Zuora and Aaron Katske of @LightmatterCo, live at Oktane. Come by Booth G1 after, if you want to keep the conversation going.

Aysha Khan (CIO & CISO, @TreasureData) reveals her new book, What the River Knows, live at FUSION'26. Her thesis: the future doesn't need better tools, it needs clearer humans deciding what to do with them. Register🔗fusion.atomicwork.com

Spotted on the Oktane keynote stage with @toddmckinnon: Atomicwork, in @okta's expanding Cross App Access ecosystem! We're live on the Okta Integration Network with XAA today🔗atomicwork.com/blog/atomicwo…

Human managers, meet your AI Coworkers. We're at Oktane showing what an AI Workforce delivers — more capacity without more headcount, 24/7 coverage, and a lot more than ticket deflection. The part nobody demos: identity. An AI Coworker has to act without you present and carry your specific authority on every call. Service accounts give you one; login gives you the other, neither gives you both. That's what stalls this in security review. Atomicwork is now live on the Okta Integration Network with Cross-App Access. Scoped, time-boxed, revocable from Okta alone! If you're at Oktane, come by Booth G1. I'd love to talk more 🙂

The Age Of Reimagining Enterprise Org Structure With AI hubs.li/Q04y5lbq0 Written by @leningali of @atomicworkhq

We are at Oktane by @okta this week showing what an AI Workforce does for IT and Security teams. Human manager meets the AI Coworker. See it live at booth G1.

Jev's popularity is Jevons paradox playing out in AI ecosystem. Jev model is an interesting signal for where agentic AI architecture is heading for both consumer and enterprise use cases. A surprising amount of work inside AI agents and solutions like @atomicworkhq AI Coworkers is low entropy tasks like classify, route, score, pick a tool and check a condition. Yet we often use autoregressive LLMs built to generate language for tasks that only need a decision. Jev's architecture flips that model. For the many workloads, one-pass typed decisions can deliver incredibly lower cost and latency, with some multi-step AI workflows like browser-use showing 100x+ improvements. However, the bigger insight is Jevons paradox. Make intelligence 100x cheaper and faster, and we probably won't use 100x less of it. We'll use it 1,000x more. The future of AI agents and AI workforce will not use use just frontier LLM models for doing everything. Cheap System 1 models like Jev for low-entropy decisions. Frontier LLM models for high-entropy reasoning. Incredible launch from @typesafeai and congrats @CompleteSkeptic for reigniting AI build energy on X.💜🔥

Harness Tax is real. Enterprise AI needs to move beyond cost per token to cost per verified outcome. Cost per Verified Outcome = f(Model, Reasoning Effort, Harness, Context, Tools, Workload) In 2024, I wrote about the CAP constraint in AI apps: Cost, Accuracy, Performance. A year of building AI Coworkers at @atomicworkhq has made those tradeoffs even clearer. What we’ve learned in production: atomicwork.com/blog/harness-…

Four years of Atomicwork. Feels like yesterday. In September 2022, we made a bet most people thought was early. We believed that the moment AI could actually do the work, the queue itself would become the problem. So we started the AI-native ITSM category before anyone was calling it that. Four years later, the thesis is clearer than ever. We are not building another AI Agent and we are not stitching AI onto code scripted workflows. We are building the AI Workforce for Enterprise IT and believe that AI will become a new workforce operating model for enterprises: Humans + AI Coworkers. AI Coworkers that take the work, do it end to end and hand it back by operating at job role level not workflow level. An IT team that hires them into job roles and governs them like HR does for people. That's the difference between AI as a feature and AI as a workforce. Grateful to the team that came early on conviction, the customers who trusted us and the partners who backed this before it was obvious. It was so much fun this time as we had customers and families join our celebration. Year five. Let's go. IT's our time! 💜🚀

Harness Tax is real. We have seen it first hand with our AI Workforce at @atomicworkhq

Anonymous bots making changes to your enterprise stack is not a governance model. @AparnaChugh, our Head of Product, on why AI coworkers need what every new hire gets: a name, a service account, an agent ID, a defined role. Full session 👉 piped.video/Jg-jSoEPDhs

Our AI Coworkers are now self-improving: every week they grade their own work, show you where they drifted, and propose the fix. An AI Coworker works faster than anyone can watch it. So we gave the watching to an AI Coworker. atomicwork.com/blog/self-imp…

And just like that, Atomicwork turns 4! ❤️ From one stuffy office to three across the world, it's been quite a journey. The game is ours.

. @KanuGulati , Partner at @khoslaventures, moderates our AI Builders Panel at FUSION26. Before VC, she was a research scientist and early engineer, so she cares less about the pitch and more about what actually shipped. Sept 29, SF🔗fusion.atomicwork.com

Hello Dreamforce, Meet AI Workforce. Atomicwork AI Coworkers are live across the Salesforce Transit Center!

. @AparnaChugh (Atomicwork), Mark Gill (@Zuora), and Aaron Katske (@LightmatterCo ) are talking through what it actually takes to run an AI workforce inside a real enterprise — the governance, the access decisions, the trust curve, and the results. 🗓️ September 24, 12:00 PM PT