Atomicwork
AI-native ITSM and ESM platform run by governed AI Coworkers
By Atomicwork Inc. · HQ San Francisco, US · 4.0/5 Value-Position score (estimate)
Positioning guardrails
Best for
- Mid-market and enterprise IT teams consolidating ITSM, ESM and ITAM onto an AI-native platform
- Organizations that want role-defined AI Coworkers with identities, permissions and a governance control plane, not just a chatbot
- Companies already on ServiceNow or Jira Service Management that want AI resolution without a rip-and-replace migration
- Global enterprises needing data residency in the US, EU or APAC plus bring-your-own models and harness
- HR, Finance, Legal and Facilities teams automating onboarding, approvals and policy queries alongside IT
Ideal size: 250-5,000 employees people · Scale-up or enterprise with a formal IT service management function
Not for
- Small teams seeking a low-cost self-serve helpdesk: the entry plan starts from about $25,000 per year
- Buyers who need fully public per-seat price lists, since Business and Enterprise pricing is quote-only
- Organizations unwilling to let AI agents take write actions in production systems such as provisioning access or changing devices
- Teams that only want a lightweight chat assistant, without agent roles, sandboxes and usage governance
Value metrics scorecard
Time-to-Value
Days to deploy; ~6 weeks for full replacement
~14 days to first production value
Total Cost of Ownership
$25,000/yr
Starts at $25,000 · Platform fee plus usage: AI credits included in the platform plan, or per-outcome pricing when run on your existing ITSM
Implementation Friction
2/5
Engineering + admin effort required
Value-Position score
out of 5 · model estimate
Full cost breakdown
Mandatory implementation fee
None
Seat tiers
Professional: 2 AI Coworkers, 250 end users. Business: 5 Coworkers, 1,000 users. Enterprise: 10 Coworkers, unlimited users.
Add-on costs
- Additional AI Coworkers: $499 per worker per month
- Additional AI credits beyond the 25,000 included in the Professional plan
- Outcome pricing: $1 per knowledge outcome, $2 per access outcome, from $3 per service resolution
Company & support
Who is behind Atomicwork, and how your team gets help once it is live.
Company
- Founded
- Not recorded
- Headquarters
- San Francisco, US
How you get support
- PhoneNot listed
- EmailPaid plans
- Live chatPlan not stated
- Support portal / ticketsNot listed
- Community forumNot listed
- Help centre / docsAll plans
- Dedicated account managerEnterprise only
- In person / on-siteNot listed
- Hours
- 24/7
- Response time
- Enterprise: SLAs and uptime guarantees (values not published)
Email support in business hours on Professional; chat plus email with extended hours on Business; 24x7 support and a dedicated CSM on Enterprise.
“Not listed” means the vendor’s public pages don’t mention that channel, not that it is unavailable. Ask about it during evaluation.
Market position
Where Atomicwork sits against its closest alternatives. Pick any two of cost, speed, friction and buyer score, and up to 9 companies to compare.
Quadrant view
Typical annual cost × Time-to-value
The lines cross at the median of the solutions shown, so about half sit on each side of each line.
Companies on the chart 6 / 10
- Atomicwork
- Stitchflow
- Practice Fusion
- Fireflies.ai
- SimplePractice
- Healthie
Add or change companies
Up to 10 companies including Atomicwork. Listed closest first.
Stack fit signal
Compatibility with standard B2B ecosystems.
Ships an official MCP server. Connects to Claude Code, Claude Desktop, ChatGPT connectors and Cursor out of the box.
AI & MCP readiness
What Atomicwork ships in AI, and what it asks of your ecosystem.
AI features shipped
AI Coworkers run in isolated sandboxes with deterministic tool policies; every action is attributable to a named person and governed from a single AI control plane.
Your data & models
- Trains on your data
- Only if you opt in
- Runs on
- OpenAI, Anthropic, Google
- AI pricing
- Billed by usage or credits
In your ecosystem
- AI connection
- Official MCP server
- Model key
- Bring your own key
- AI usage audit
- Full audit trail
Compliance attestations
* IAPP AIGP certifies individuals, not products. It means named staff hold the credential — not that the platform does.
Bottom line
Atomicwork is an AI-native ITSM and ESM platform where role-defined AI Coworkers resolve tickets, provision access and run HR and finance workflows end to end. It can run on top of ServiceNow or Jira Service Management with no migration, or replace them. Customers cite deployment in days and large ticket deflection. Pricing is outcome- and credit-based from $25,000/year. Security includes SOC 2, ISO 27001, HIPAA and ISO 42001.
Frequently asked questions
What does Atomicwork cost and how does the pricing model work?
Pricing is a platform fee plus AI consumption. The Professional plan starts from $25,000/year billed annually and includes 25,000 credits, 2 AI Coworkers and up to 250 end users; extra Coworkers cost $499/worker/month. Business is flexible pricing and Enterprise is a custom contract with volume discounts. You can also run the AI Workforce on your existing ServiceNow or JSM instance with no platform fee and pay per outcome, from $1 per knowledge outcome to $3 or more per service resolution.
Do we have to replace ServiceNow or Jira Service Management to adopt Atomicwork?
No. Atomicwork can be deployed on top of ServiceNow or Atlassian JSM with no migration and no platform fee, paying only per outcome, then upgraded to the full Atomicwork ITSM, ESM and ITAM platform when ready. Customers such as Pepper Money report replacing ServiceNow within six weeks.
How long does implementation take and how much internal effort is required?
Atomicwork markets deploy-in-days onboarding, with AI Coworkers designed, tested and deployed in hours, and no migration when layered on an existing ITSM. Published customer stories describe replacing incumbent solutions and consolidating three tools into one platform within six weeks, rather than the quarters typical of legacy suites.
Which AI models power the AI Coworkers, and can we bring our own?
Atomicwork lets customers bring their own agent harness and models from providers such as OpenAI, Anthropic and Gemini, and supports bring-your-own model endpoints, sandboxes and vaults. Its stated AI sub-processors are Azure OpenAI Service, Anthropic and AWS Bedrock, operating under zero-retention and no-training contractual terms.
Is our data used to train AI models?
No by default. The security page states customer data is never used for training and that no customer data is used for model training or shared with third parties. The privacy policy allows tenant-specific fine-tuning only where the customer expressly opts in under a written agreement, and PII is redacted at ingestion and masked in Coworker conversations.
What compliance certifications and AI governance does Atomicwork provide?
The security page lists SOC 2 Type 1 and Type 2, ISO 27001, ISO 27017, ISO 27018, ISO 27701, ISO 42001, GDPR, HIPAA, CCPA, CSA STAR Level 1, Microsoft 365 and CASA Tier 3. AI governance includes sandboxed Coworker execution, deterministic tool policies, per-action audit logging and alignment with ISO 42001 and the NIST AI Risk Management Framework.