Atomicwork
Also known as: Atomicwork Inc., Atomicwork Software India Private Limited, Atomicwork AI Workforce, atomicwork.com
AI-native ITSM and ESM platform that deploys and governs AI Coworkers across IT, HR and operations, each with a role, scoped tools, a budget, sandboxed execution under the user's identity, human sign-off on sensitive actions and a full audit trail, with bring-your-own models and infrastructure.
Atomicwork is an AI-native IT and enterprise service management platform whose AI Workforce lets an organization deploy and govern AI Coworkers alongside its people across IT, HR, finance, legal and operations.
Each coworker is described as a job role rather than a workflow, with an identity, a goal, skills, scoped tools reached through native integrations or MCP, a spend budget and a human manager; coworkers investigate, act and close work end to end, hand off to each other with full context, escalate to a human when something falls outside their scope, and pause for sign-off before sensitive actions.
The launch lineup ships seven coworkers covering device, network and cloud operations, access management, incident management, security operations and HR service, and customers can author their own. Every run executes in a fresh sandbox under the requesting user's identity and deterministic execution policies, is logged with a full audit trail, and is grounded in a permission-aware knowledge index kept in the customer's own tenant.
Employees reach the Universal AI Coworker, Atom, through Slack, Microsoft Teams, email, the portal, a browser extension and voice, and coworkers can also run on schedules and respond to incidents. Customers can bring their own model endpoints, execution infrastructure, vault and identity provider, and the platform can run on top of an existing ServiceNow or Jira Service Management instance without a migration. Atomicwork Inc. is headquartered in Palo Alto with an operating subsidiary in Bengaluru.
Vendor details
Canonical URL
https://www.atomicwork.com
Category
Enterprise operations agent
Subcategory
Governed AI workforce for IT and enterprise service management
Funding status
Independent, headquartered in Palo Alto with teams in Singapore and India, founded in 2022 and led by co-founder and chief executive Vijay Rayapati. Atomicwork is backed by leading investors including Khosla Ventures, Battery Ventures, and Peak XV, and grew to more than fifty employees ahead of the June 2026 general availability of its AI Workforce Platform. Customers such as Zuora report roughly fifty percent fewer tickets after adopting the platform, and it is available in the Microsoft Marketplace.
Company status
independent
Use cases & customers
Primary use cases
Target customers
Deployment options
Integrations
Coworkers reach enterprise systems through native integrations and MCP tools: SharePoint, Microsoft Teams, Microsoft 365, Azure Active Directory and Entra ID, Intune, Okta, JumpCloud, ADP, Workday, Slack, Salesforce and Lansweeper are named, with ServiceNow and Jira Service Management supported as underlying platforms in the bring-your-own-platform option; the Atomicwork MCP server lets Claude, Codex, Cursor and other MCP clients work with the customer's Atomicwork tenant.
In practice
Your IT team drowns in repetitive tickets for password resets, access requests, and device issues while real projects wait. Atomicwork's AI coworkers resolve those requests end to end inside Slack or Teams, cutting ticket volume sharply.
Most AI deployments stall in production because no one can govern what the agents can see or do. Atomicwork gives every coworker a defined role, scoped access, a budget, and a full audit trail, so IT runs them like a team.
You want AI coworkers but cannot rip out ServiceNow or Jira to get them. Atomicwork layers on top of your existing service management and puts coworkers to work on day one with a clean path to migrate later.
Sources & related URLs
Research sources
Agentic Index coverage score
12.0 / 14 capabilities · 86%
| Integrations & Tool Calling | Full |
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Coworkers act in outside systems through native integrations and MCP tools, with the pricing FAQ naming SharePoint, Microsoft Teams, Azure Active Directory, Intune, Okta, ADP, Workday, Slack, ServiceNow and Jira Service Management and the launch post adding JumpCloud, Entra ID and Salesforce; documented actions include provisioning and deprovisioning access, refreshing stale tokens and running RCAs, and every tool call runs under deterministic execution policies scoped to named capabilities. Sourceatomicwork.com/features/ai-workforceread 2026-09-08 |
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| Workflow Orchestration | Full |
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Multi-coworker swarms investigate, act and close together, smart routing tags in and hands off work across IT, HR, Finance and Legal with every handoff carrying the full history, humans are escalated in with the full picture, and the plan table lists multi-agent orchestration on Business and Enterprise with AI workflows on every plan; the launch post documents the handoff pattern (Device Ops pulling in Network Ops, Incident Manager pulling in Access Manager). Sourceatomicwork.com/features/ai-workforceread 2026-09-08 |
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| Knowledge Grounding & RAG | Full |
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Each customer's knowledge sits in a self-hosted vector database in its own tenant, customers control what is crawled and indexed across knowledge sources and conversations, access control lists are inherited from the source systems or configured in Atomicwork, coworkers are grounded in the customer's policies, people, assets and history, and the privacy policy names retrieval-augmented generation over knowledge base content and IT asset metadata, a persistent, permission-aware index the coworkers query. Sourceatomicwork.com/securityread 2026-09-08 |
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| Human Oversight & Guardrails | Full |
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Sensitive actions pause for human sign-off before executing, a coworker that hits its spend cap pauses for review until a manager approves more credits, reassigns or retires it, each coworker carries a defined scope, standing rules and an escalation plan that hands off to a human with full context, deterministic execution policies restrict what a coworker can read and modify, and the privacy policy states that access provisioning, suspension and employment-related decisions include human review before being acted on. Sourceatomicwork.com/features/ai-workforceread 2026-09-08 |
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| Security, Identity & Governance | Full |
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Certifications on the security page cover SOC 2 Type I and Type II, ISO 27001, 27017, 27018, 27701 and 42001, CSA STAR Level 1, Microsoft 365 and CASA Tier 3, alongside a SOC 2 Type 2 renewal post. The privacy policy still describes ISO 27701 and 42001 as in progress, while SOC 2 Type II and ISO 27001 appear on both pages. Access runs through SSO with the customer's enterprise IAM, and customers can bring their own identity provider. Role-based access control applies, content ACLs are inherited or configured, coworkers inherit the requesting user's identity and roles with no standing elevated access, and comprehensive audit logs are kept. Sourceatomicwork.com/securityread 2026-09-08 |
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| Observability & Auditability | Full |
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Every coworker run is logged with a full audit trail and is explainable, comprehensive audit logs detail who accessed what and every operation performed within the platform, every answer links back to its source, continuous monitoring tracks coworker performance, and the privacy policy states audit-log retention of 12 to 24 months; the record is kept by the platform the coworkers run on. Sourceatomicwork.com/securityread 2026-09-08 |
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| Memory & State Persistence | Partial |
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The launch post names persistent memory as a component of each coworker's agent harness alongside goals, permissions, tools and guardrails, a memory with per-coworker scope, and handoffs carry the full history between coworkers. No lifetime, storage location or per-customer deletion path is stated, and the security page says no state carries over between sandboxed executions. Sourceatomicwork.com/blog/ai-workforce-launchread 2026-09-08 |
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| Deployment & Data Residency | Full |
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Customers choose where coworkers run and where data sits: the security page states customers can bring their own execution infrastructure, model endpoints and vault, each customer's data sits in a self-hosted vector database in its own tenant, enterprise applications are reached through a self-hosted iPaaS, and the Enterprise plan carries custom data residency; the residency FAQ adds that data residency options exist in approved regions and the privacy policy that LLM and cloud sub-processors apply by the customer's region. No region is named. Sourceatomicwork.com/securityread 2026-09-08 |
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| Prebuilt Agents, Templates & Packs | Full |
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Seven named coworkers shipped at launch (Device Ops Engineer, Network Ops Engineer, Cloud Ops Engineer, Access Manager, Incident Manager, SecOps Engineer, HR Ops Specialist), the plan table includes four prebuilt coworkers on every tier (ITOps Support Engineer, Access, Workflow and Service coworkers), a catalog page lists them by role, and skills are packaged as portable units; each coworker owns a distinct role. Customers can also build custom coworkers. Sourceatomicwork.com/blog/ai-workforce-launchread 2026-09-08 |
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| Triggers & Channel Coverage | Full |
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Coworkers run on schedules for nightly cleanups, weekly reviews and monthly audits, and on events: an Incident Ops Engineer detects and triages incidents before humans are paged, an Incident Manager monitors third-party SaaS incidents, and the credits FAQ describes ticket-event workflows (a reply classified by sentiment on an open ticket triggers escalation or closure). Channels are chat, voice, email and portal on every plan, with Slack, Teams and a browser extension. Sourceatomicwork.com/features/ai-workforceread 2026-09-08 |
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| Model Flexibility & Routing | Full |
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The security page offers bring-your-own model endpoints, including endpoints under the customer's own enterprise DPA, the plan table lists custom models, harnesses and runtime on Enterprise, and the privacy policy names three LLM sub-processors (Microsoft Azure OpenAI Service, Anthropic, AWS Bedrock) applied by the customer's region and configuration; within a coworker's configuration the platform routes each job to a lightweight or advanced model automatically, which is the vendor-side layer beneath the customer's choice. Sourceatomicwork.com/securityread 2026-09-08 |
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| APIs, SDKs & MCP Extensibility | Partial |
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Atomicwork's native MCP server lets Claude, Codex, Cursor and any MCP-compatible client connect to the customer's Atomicwork tenant to query tickets, create incidents, manage service requests, look up users and browse the service catalog. No first-party page documents an API or SDK for the platform itself. Sourceatomicwork.com/pricingread 2026-09-08 |
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| Testing, Debugging & Optimization | Full |
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Atomicwork tunes the coworkers themselves after deployment: the plan table lists performance reporting and tuning for custom coworkers on Business and Enterprise, and the launch post states coworkers get evals and feedback loops with a review cycle that can run weekly because the data is already in the system. The harness itself is not documented, and the evaluations and red-teaming described in the privacy policy are the vendor's own engineering practice rather than a customer surface. Sourceatomicwork.com/pricingread 2026-09-08 |
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| Browser & Computer Use | Not documented |
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Coworkers act through MCP tools and native integrations inside sandboxed execution, and no browser, desktop or computer control is documented; the Universal AI Coworker is described as resolving issues with voice and vision AI, a browser extension and screen share through which Atom reads the user's on-screen context and walks the user through a fix, which is the agent guiding a human rather than operating the interface. Sourceatomicwork.com/securityread 2026-09-08 |
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The Agentic Index coverage score grades every vendor Full, Partial or Not documented against the same 14 buyer facing capabilities, from public evidence only. Each capability links to how all vendors in the index score on it. How this evidence is graded
Recent platform changes
Atom can now create service requests directly from a conversation, carrying the conversation's context into the request. Users describe their need and Atom submits the request on their behalf, removing the separate manual form submission step.
Bears on: Workflow orchestration
View sourceAtomicwork released a consolidated platform update featuring the ability to sync a single user profile from multiple identity and HR sources. The update also includes bulk CSV imports for custom objects, enhanced audit logs with time-based filtering and CSV exports, and improved ticket visibility for agents.
Bears on: Memory / state
View sourceAtomicwork updated its integration pages to include a sync log, a manual sync trigger, and a status footer. Users can now view the history of previous syncs, initiate on-demand syncs, and monitor current sync health directly from the integration interface.
Bears on: Integrations
View sourcePricing
From $25,000/yr
credits or outcomes, with coworker and user tiers
Included quota
Professional, from $25,000 a year billed annually: 25,000 credits, 2 AI Coworkers, up to 250 end users, 500 managed devices and 50 software applications, chat, voice, email and portal channels, full ITSM, pre-built analytics and integrations, and business-hours email support. Business: flexible platform pricing and credits, 5 coworkers, up to 1,000 users, 2,000 devices, 200 applications, custom workspaces, ITSM plus ESM, custom analytics and integrations, multi-agent orchestration, extended-hours chat and email support. Enterprise: custom contract, 10 coworkers, unlimited users, devices, applications and automation, custom data residency, SLAs and uptime guarantees, 24x7 support with a dedicated CSM, custom models and runtime.
What is public
Atomicwork publishes a Professional plan starting from $25,000 a year billed annually (25,000 credits, 2 AI Coworkers, up to 250 end users), a Business plan with flexible pricing sized to the customer (5 coworkers, up to 1,000 users) and a custom Enterprise contract (10 coworkers, unlimited users, custom data residency, SLAs). It also publishes outcome prices: $1 per knowledge outcome, $2 per access outcome and from $3 per service outcome, each with annual minimums, and a no-platform-fee option to run the AI Workforce on top of ServiceNow or Jira Service Management. A feature-by-plan table and a credits FAQ with worked examples sit alongside the prices.
Billing mechanics
Two published formats. Usage-based plans bundle platform, credits and a coworker count: a credit is drawn each time a coworker completes a job and scales with coworker complexity, number of reasoning steps, tool and API calls, response length, multi-coworker handoffs and the model tier the job is routed to. Outcome-based pricing bills per completed outcome: $1 per resolved knowledge query (minimum 25,000 a year), $2 per access request handled end to end (minimum 12,000 a year) and from $3 per service resolution such as an incident resolved (minimum 8,000 a year), all with volume discounts. A bring-your-own-platform option runs the AI Workforce on an existing ServiceNow or Jira Service Management instance with no platform fee, paid per outcome; the full Atomicwork platform is outcome pricing plus 25 percent or more of net spend. Atomicwork is also listed on the Microsoft Marketplace for Azure-credit purchase.
Cost watchouts
Additional AI Coworkers cost $499 per coworker per month above the plan's count (2 on Professional, 5 on Business, 10 on Enterprise); credit draw scales with steps, tool calls, output length, coworker handoffs and model tier, with the vendor's own examples running from 1 credit for deterministic routing to 100 for an investigating coworker; outcome plans carry annual minimums of 25,000, 12,000 and 8,000 outcomes; custom roles, skills, tools and performance tuning start on Business and custom models, harnesses and runtime on Enterprise; the full platform on outcome pricing adds 25 percent or more of net spend.
Variable cost rationale
Both formats meter the coworkers' work: credits scale with reasoning steps, tool calls, output length, handoffs and model tier, and outcome plans bill per resolved outcome above annual minimums, so spend tracks workload complexity and volume rather than seats; per-coworker budgets on the platform are the vendor's own cap on that exposure.
Additional watchouts
Credit consumption is workload-dependent and the vendor's own examples span two orders of magnitude, so the 25,000-credit Professional allotment is hard to size in advance; coworker count is capped per plan with a per-coworker monthly add-on; the richest governance features (custom roles, performance tuning, custom models) sit on the two unpriced tiers.
Overage / add-ons
Additional coworkers at $499 per coworker per month; credits beyond the plan allotment are purchased on the plan's terms, with Business and Enterprise carrying flexible or volume-discounted credits; outcome plans bill per resolved outcome above stated annual minimums with volume discounts.
Sales call required
Yes, required for paid access
Free / trial
Demo and pilot on request; no public free tier
Lowest paid plan
Professional, from $25,000 a year billed annually, 25,000 credits, 2 AI Coworkers, up to 250 end users
Commercial notes
Atomicwork Inc., Palo Alto (Delaware), with Atomicwork Software India Private Limited in Bengaluru. AI-native ITSM and ESM platform whose AI Workforce of governed coworkers reached general availability in June 2026; SOC 2 Type II and ISO 27001 with a broader certification set on the security page; free trial offered on the Professional plan through a demo request.
Key ambiguities
Professional is a floor (starts from $25,000) rather than a fixed list price, Business is unpriced and Enterprise is custom; the AI Workforce page FAQ still says the entry plan includes 5 coworkers while the pricing page says 2, an internal inconsistency treated as a stale FAQ; the dollar price of additional credits and the platform fee on outcome plans are not published; third-party listings quoting $90 per employee are not on the vendor's page.
Cancellation / refund
Professional is billed annually; Business is sized to the customer and Enterprise is a custom contract with pre-negotiated terms; cancellation terms are not published on the pricing page.
Support SLA / resale
Email support in business hours on Professional; chat and email with extended hours on Business; 24x7 support, formal SLAs, uptime guarantees and a dedicated customer success manager on Enterprise; hands-on implementation guidance through the demo and trial process on any plan.
Missing data
Business platform pricing, Enterprise contract terms, the price of additional credits, and the platform fee on outcome plans are not published; the pricing FAQ answers on support tiers are published but implementation fees are not.
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Alternatives to Atomicwork
The closest documented capability profiles to Atomicwork among enterprise operations agents tracked by Agentic Index, ordered by similarity on the same 14 point evidence the rankings use. No vendor pays for placement.
- Boomi12.5 / 14Fuller documented coverage on APIs, SDKs & MCP Extensibility
- Fabrix.ai12.5 / 14Fuller documented coverage on APIs, SDKs & MCP Extensibility
- Salesforce12.5 / 14Fuller documented coverage on APIs, SDKs & MCP Extensibility
- Beam AI12.0 / 14Fuller documented coverage on APIs, SDKs & MCP Extensibility
- dSilo12.0 / 14Fuller documented coverage on Memory & State Persistence
- Ema11.0 / 14A lighter documented profile than Atomicwork
Similarity is computed from each vendor's Agentic Index coverage score evidence, axis by axis, not from the totals. How this evidence is graded