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

Every great team has that one person who just handles things. Tickets don't pile up on their watch. They know who to loop in, when to escalate, and how to close the loop without being asked. They just get it done! That's what an AI Coworker is. Except now your whole team has one. Meet your AI Coworkers 🤝lnkd.in/dUy3ggnq

Happy 250th 🇺🇸. Every generation here reinvents how work gets done across the world. Railroads. Assembly. Finance. Software. Internet. Now AI. May the experiment continue for the next 250!

In the 1800s, entire factories were redesigned around one thing: the steam engine. When the electric motor arrived, it took decades before anyone asked — do we even need all these belts? @RangachariVenky, CIO of @HPE says we're at that same inflection point with AI. Every employee with an AI agent that handles their IT issues, their CRM, their ERP, their data, without a ticket, without a portal, without a wait. The workflows we built were designed around human limitations and now those limitations are gone. The only question is which belts you're willing to cut. 🎙️ Full episode on Atomic Conversations 🔗 youtu.be/41ARvLxpTwk?si=0b_W…

The IT industry is having a moment - layoffs, AI coworkers, restructured teams, and the people still standing are being asked to carry more than ever, often in silence. Mental health in IT isn't a soft topic anymore. It's the conversation sitting underneath every org change, every "we're doing more with less," every 2 AM incident that nobody asked for. And it's time someone said that out loud. On July 9, we're going live with two of the most respected voices in ITSM Paul Brandvold and Indi Catrina, to talk about what IT teams are really going through right now. The burnout that doesn't show up in any dashboard. The grief that comes when your role changes overnight. The anxiety about AI that nobody in leadership is addressing honestly. And what it actually looks like to build a culture where the people keeping everything running are also okay. If you work in IT, lead an IT team, or care about the humans behind the infrastructure, this one is for you. July 9! RSVP here 🔗 https:// linkedin.com/events/74736715…

Gartner predicts 50% of AI agent deployment failures by 2030 will come down to insufficient governance. That number exists because most AI being deployed today has no identity, no manager, no budget, and no one accountable for what it does. "AI agent" now fits almost anything — a chatbot, a script, a workflow with an LLM bolted on, and the word has been stretched so far it's stopped meaning much. What we built is something the label was never meant to describe. An AI Coworker has an ongoing role. Identity, a manager, scoped access, persistent memory, and performance it gets evaluated on. The same primitives you use to manage a human hire, applied to AI. Agents do tasks. Coworkers run operations. Read the full breakdown of why this distinction is the one IT leaders can't afford to miss → atomicwork.com/blog/ai-agent…

Most IT teams are slow because the work never stops, and the team never grows. What our CEO @amnigos is describing is a structural change - AI coworkers that sit in your IT function and handle work end to end, the moment it arrives. No queue, no handoff, no waiting for someone to come online. The coverage gap that every IT leader knows — nights, weekends, time zones, stops being a gap. 10x as a consequence of AI coworkers that actually hold a job function! Read about the AI Workforce here 🔗 atomicwork.com/blog/ai-workf…

AI isn't a tool you buy for the technology. It's an operating model you design for the business. Run a company long enough and you realize the CEO and CXOs job is mostly one thing. Resource Allocation. Where the capital goes. Where the people go. Get those two right over a decade and you build something great. Get them wrong and no strategy deck saves you. But there's a part we never said out loud. Only one of those was ever truly "allocation." Capital you could move. People you could not. So when demand spiked, we overworked the team we had. When it dropped, we cut the team we built. Our people absorbed every swing in the business. That was never smart. Headcount sat in the OpEx column, but it behaved like CapEx. Every hire was a multi-year commitment for the business. Months to recruit, months to ramp, real cost to unwind. So we hired for the peak and carried it through the trough, and people paid for the math either way. AI coworkers change the shape of this. Not by replacing the team. By giving it a layer it can lean on. Your people are the baseline. The judgment, the relationship context, the accountability, the taste and judgement for what good looks like. That's the part you invest in and keep. AI coworkers are the expansion layer. The capacity that flexes up when the work surges and settles back when it passes. So the volatility moves off your people and onto the elastic workforce layer. That sounds like an HR story of AI workforce for IT but it's also a finance story too. The human baseline stays a long-term investment, the part of the company worth committing to. The variable load on top becomes a real OpEx decision, handled by AI coworkers that scale to the work in front of you instead of the forecast you made last December. Three things change the day you take this seriously. Your people stop being the surge capacity. They stop covering volume they were never meant to carry, and get to do the work only humans can. You stop hiring and firing through every cycle. You can grow into a new market or a heavy quarter without over-hiring people you may have to let go when it slows. And the question changes. Not "how many people do we add or cut this year," but "what is the human core worth protecting, and how much AI do we build around it." The C-suite job isn't shrinking. It's getting bigger to redesign the operating model of every business. We've always allocated capital. Now we allocate capacity around our people, not instead of them. The companies that win will treat their people as the foundation they build on, and let AI carry the swings. Time to think of AI as a workforce strategy for the business not just a productivity workflows strategy. This vision is what we are building towards at @atomicworkhq.

Your job description just became your job done. Describe what you need, and Atomicwork builds the AI coworker with the skills, tools, budget, and reporting line included. And voila, you have a Network monitoring that never clocks out! This is what the AI workforce looks like!

How much time does your team spend asking, "wait, is anyone handling this?" When your tools understand how work is connected, what caused it, what depends on it, what's in motion, that question disappears. And resolution actually happens. Your work has relationships. Your tools should too.

You wouldn't hire someone without a job description, a budget, or a way to fire them. So why are you running AI that has none of those things? A coworker shows up, takes ownership, and gets better over time. These eight components are what make that possible for AI: ✅ Identity ✅Role ✅Skills ✅Access ✅Budget ✅Memory ✅Performance ✅Lifecycle. When all eight are in place, you're managing a workforce! Read all about our AI workforce here 🔗 atomicwork.com/blog/ai-agent…

The people keeping your business running are quietly burning out. And now they're also wondering if AI is coming for their jobs... On July 9, we're going live with ITSM Speaker Paul Brandvold and ITIL® 4 Master Indi Catrina to have the conversation the IT industry has been avoiding. We'll get into the emotional load IT teams carry every single day, the identity crisis that comes when your role changes overnight, what leaders can actually do to create environments where people feel safe enough to speak up, and what it looks like when AI coworkers take the weight off so humans can finally breathe. This is an honest look at where IT stands right now and where it could go! 🔴 RSVP here 🔗 linkedin.com/events/74736715…

"As models get better, IT teams will be able to build better AI coworkers." As our Founder @amnigos says that's the compounding bet at the heart of what we launched - AI Workforce! AI coworkers that hold a job with a job role, job responsibilities, job skills, and job tools, working end to end, inside the systems IT already runs, using emerging protocols like MCP and A2A to act across them. And here's what makes this different from every other enterprise software investment: the AI coworker you design today gets better as the models improve. IT isn't just deploying tools anymore. IT is building a workforce. SaaS gave us hundreds of apps to manage. Now IT is responsible for something much bigger: the AI coworkers operating inside every function of the business. Atomicwork AI Workforce is how IT takes ownership of that! Check it out here → atomicwork.com/features/ai-w…

AI agents do a job and leave. AI coworkers have a role and stay. An AI coworker can do so because its access and identity persist across systems, retains memory and context longer, and collaborates seamlessly between agents (and humans) to complete the job at hand. The AI coworker isn't operating in a separate system with separate rules. It's working inside the same service management infrastructure, governed by the same constructs ✍ Aishwarya 👾 Hariharan writes about what this shift actually means for IT leaders — identity, governance, access control, lifecycle management — all the infrastructure questions that come with running AI as part of your workforce, not just alongside it. Read here 🔗 atomicwork.com/blog/ai-agent…

AI is the OpEx model for Workforce like Cloud was for Infrastructure.

What does it actually mean to hire an AI coworker? You give them a job description, a team, a manager, the systems they need, a budget, and a way to be evaluated. The same thing you would do for any person joining your team. The artifact changes, but the structure doesn't. Our Head of Product @AparnaChugh writes about this and what the AI Workforce is, who the team is, and why managing them looks exactly like managing the humans they sit next to. Read the blog 🔗 atomicwork.com/blog/ai-workf… Welcome to #AtomicworkForce!

Systems used to manage people now apply to the AI workforce: identity, role, access, budget, performance. Each AI coworker has a name, a mandate, a manager, and the tools to carry work from request to resolution. The existing workforce model, extended to AI. @atomicworkhq 👀 cc @khoslaventures

What's happening at @atomicworkhq 👀

Delighted to see Gartner releasing ITSM platform migration guide for existing ServiceNow customers. Read more - lnkd.in/gKuArAiK Why this matters? Because the category is changing. @ServiceNow gave IT teams workflows. @atomicworkhq gives IT teams an AI workforce.

Story time: 1. What friendly VC's and close allies told me about building for IT teams. 2. Why I walked from more funding & acquisition offer$ 3. How ITSM will change for the next era beyond what incumbents like Workday and Salesforce are proposing. linkedin.com/pulse/itsm-hot-…