Workday VS DevOS
Compare Workday VS DevOS and see what are their differences
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Workday
Paycom
Paylocity
UKG
ADP Workforce Now
BambooHR
Paychex
PeopleSoft
DevOS
SRE.ai
y0
DevOS is what happens when you stop thinking of AI as "a tool" and start thinking of it as "an employee." The premise: AI coding agents in 2026 are technically remarkable. Devin can ship features autonomously. Cursor + Claude Code accelerate every senior engineer. Copilot writes half the boilerplate. But every existing AI agent product treats AI as a tool you call โ invoked from an IDE, prompted in a chat, given a one-shot task. That's the wrong frame for how teams actually work. Real teams don't have "tools" โ they have employees. Employees: Have specialized roles (frontend, backend, QA, design, copy, sysadmin) Take tickets off a sprint board Attend standups and report blockers Hand off work to teammates with context Open PRs, get code reviews, respond to comments Have a track record visible across sprints DevOS treats AI agents the same way. Three layers in one product: 1. The marketplace. Browse specialized AI agents by role. Each comes with role-specific prompting, tool integrations, and a track record. Hire as many as your team's working style needs. Agents are configured for their role โ a "frontend dev" agent ships React/Vue with the team's design system patterns; a "copywriter" agent ships marketing pages in your brand voice; a "QA" agent writes Playwright tests and triages bugs. 2. The sprint board. Linear/Jira-style kanban with full agile machinery: sprints, epics, backlog grooming, sprint planning, retrospectives. Agents appear as assignable team members. Drag a ticket onto an agent the same way you'd assign it to a human dev. The agent picks it up, posts an estimate, asks clarifying questions if needed, and starts working. 3. The communication layer. Standups are automated โ every morning agents post what they shipped yesterday, what they're doing today, and what's blocking them. PRs are opened in your real repo. Code reviews happen in real GitHub / GitLab. Slack/Discord/Telegram integration so humans can talk to agents like teammates
Workday DevOSBased on our record, Workday seems to be more popular. It has been mentiond 4 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Dont apply if they use workday.com. Source: almost 4 years ago
There's a ton of great product information including recorded demos on workday.com. Source: over 4 years ago
If you haven't already, check out workday.com to watch demos of the product. Lots out there to get a conceptual overview and understand the capabilities. Check out job opportunities at Workday, too. While consulting is a great career, there's also other options such as pre-sales and value management (example: helping put together value propositions for prospects wanting to justify Workday), business... Source: almost 5 years ago
Hey I was recently extended an offer to join the experience team (training starts aug. 2) after 2 video interviews, having completed all tasks within workday.com, and passing Checkr's background check (came back Clear) but I have not received any further instructions on what to do next. Source: about 5 years ago
Paycom - Paycom is a Human Capital Management system that helps companies manage the complete employment life cycle, from recruitment to retirement.
SRE.ai - AI agents to simplify and automate Salesforce devops
Paylocity - Paylocity has revolutionized the industry and has quickly become the leading independent provider of online payroll services and HR solutions.
y0 - AI agents that code, browse, and build for you
UKG - UKG Pro is one of the powerful, global human capital management solutions like global workforce management, flexible or seamless human resource management that drive the growth of your in an appropriate business way.
ADP Workforce Now - ADP Workforce Now provides cloud-based software, expert support and predictive analytics for data-driven insights.