The company that decided the next great hire wouldn't be a person at all - and then built an entire operating system to onboard it.
It is a Tuesday inside a mid-sized insurer. A claim arrives, gets read, gets checked against policy, gets routed for a signature, and gets closed. Nobody is hunched over a screen at 2 a.m. to make it happen. The "employee" that did the work has no desk, no coffee mug, and no opinion about the office thermostat. It is software - and at NEWWORK, that is precisely the point.
NEWWORK Software calls these things digital employees, and it has built a place for them to clock in. The company's Digital Workforce Platform is not a chatbot bolted onto an old system. It is a deliberate attempt to answer a question most enterprise software has avoided for decades: what if the system didn't just record the work, but actually did it?
The pitch is bold, the founders are not newcomers, and the timing is either perfect or premature - which, in enterprise software, is often the same thing viewed from different quarters.
Figures compiled from public company statements and profiles. Funding and revenue are not publicly disclosed.
Most "AI for the enterprise" stories end at the assistant - a helpful box in the corner that drafts an email and waits to be thanked. NEWWORK is after something less polite and more structural. Its platform lets an organization build an AI worker, give it a role, hand it a job, and let it execute - inside guardrails that any compliance officer would recognize.
The architecture reads less like a feature list and more like an HR department for machines. There is a runtime where the workers operate, a development layer for building them, and pre-packaged capabilities so you don't have to start from a blank page.
The execution and coordination layer where digital employees actually run - operating within defined roles, following policy, and asking for approvals.
Dynamic, event-driven workflows that evolve in real time instead of marching down a fixed, brittle script.
Core operations rebuilt as a self-optimizing engine, where autonomous agents and human oversight share the controls.
Low-code and pro-code tools for building AI-driven applications, agents and workflows - for citizen builders and engineers alike.
Pre-configured modules for HR, CRM, finance, service operations and ERP, so deployments don't begin from zero.
HR+ centralizes the (human) employee lifecycle; the EVERY app brings mobile-first collaboration across the platform.
The clever part isn't autonomy for its own sake. Autonomy is easy; trust is hard. NEWWORK's answer is to wrap each digital worker in the same controls that keep human organizations from falling apart - segregation of duties, four-eyes approvals, role-based access, and audit-ready evidence for everything it touches.
We are not building another AI assistant. We are building the operating environment for a new workforce composed of both humans and digital employees.
This is not a dorm-room story. NEWWORK is run by people who have spent careers inside the very systems they now want to replace - which is either the best or the most dangerous place to start a revolution.
Previously led GK Software USA before its acquisition by Fujitsu. Now the public voice of NEWWORK's argument that AI should run work, not merely assist it.
Former Chief Product Architect at Workday, with earlier in-memory database research that fed into SAP HANA. He has now helped shape both the database era and the agent era of enterprise software.
The future enterprise will not be defined by the systems it owns but by the intelligence that operates across those systems.
NEWWORK isn't chasing the casual market. Its target customers live in regulated, paperwork-heavy worlds where automation has to be auditable or it's useless. The company reports implementations underway across financial services, insurance, industrial firms and shared-services organizations, with the platform open for pilots and enterprise deployments.
Relative emphasis based on stated focus industries and reported early implementations - illustrative, not survey data.
Strip away the category-defining language and NEWWORK is selling time back to organizations. A claim reviewed without a queue. An HR onboarding that completes itself. A finance reconciliation that runs overnight and leaves a clean trail by morning.
For the builder, it means assembling a digital coworker without wiring everything from scratch. For the operator, it means handing off a process and trusting that the policy travels with it. For the executive, it means an enterprise that scales output without scaling headcount in lockstep.
We believe digital workforce platforms will digitize work itself.
NEWWORK is not alone in this. The giants it grew out of - SAP, Oracle, Workday, Microsoft Dynamics, ServiceNow, Salesforce - are all racing to graft agents onto decades of accumulated software. A wave of newer agentic-AI startups is circling the same prize. NEWWORK's wager is that the winners won't be the ones who add AI to old systems, but the ones who rebuild the system around the AI from the first line of code.
That is a confident bet, and confidence is cheap until the audit log says otherwise. What separates NEWWORK's framing from the noise is its insistence that governance is the product, not an afterthought - that a digital employee you can't supervise is a liability, not an innovation.
Back inside that insurer on a Tuesday, the claim is closed before lunch.
The scene we opened with is the whole argument in miniature. A process that used to need a person, a queue and a late night now runs quietly inside a governed FLOW, leaving behind a record clean enough to satisfy a regulator. NEWWORK didn't make the work flashier. It made it vanish - which, for the industries it's chasing, is the most interesting trick in the building.
Search links to the latest available videos - NEWWORK has not published a single fixed demo URL at time of writing.