Atomicwork

Agentic service management platform aimed at cutting enterprise IT costs while increasing productivity.

Claims of eliminating manual IT tasks and cutting resolution times, freeing IT teams for strategic work.

Atomicwork targets mid-market companies for its agentic IT/employee service management platform.

Atomicwork's support model scales with plan tier: Professional includes email support during business hours, Business adds chat support with extended hours, and Enterprise includes 24x7 support plus a dedicated customer success manager.

A dedicated Customer Success team is the primary post-sales point of contact, mapping each customer's processes to Atomicwork's capabilities and data model, monitoring success metrics, and building relationships with executive sponsors, including on-site onboarding visits.

Product is delivered as an AI assistant embedded inside existing workplace collaboration tools rather than a standalone portal.

Atomicwork's engineering team chains multiple specialized models for one AI interaction (intent classification, embedding, summarization, reranking) rather than relying on a single general-purpose LLM, treating most of the work as software engineering rather than prompt writing.

A core activity is ingesting and indexing enterprise knowledge sources (SharePoint, Confluence, internal knowledge bases) with metadata-enriched retrieval, then layering guardrails for fact-checking and sensitive-data detection before responses reach employees.

Atomicwork's Customer Success team runs a hands-on onboarding process, mapping each customer's existing IT/HR processes to Atomicwork's capabilities and data model as new accounts go live.

Atom, Atomicwork's AI agent, is built on Microsoft's Azure AI Foundry with Azure OpenAI Service as its primary model layer, combined with Cohere's Command R+ and Rerank models rather than a single proprietary LLM.

Jeegar Shah joined as Head of Applied AI and Platform in January 2026, bringing enterprise AI experience from Amazon (including the AGI team building LLM tooling behind Alexa) and ServiceNow, where he built and scaled AI systems serving millions of users.

Atomicwork maintains a library of pre-built integrations spanning collaboration, IT/asset management, HRIS, dev tools, CRM, finance, security and compliance systems, so customers can connect existing tools without extra headcount.

Okta Ventures made a strategic investment in Atomicwork, and the companies are building integrations combining Okta's identity/access management with Atomicwork's AI agent Atom so employees can resolve access requests conversationally in Slack or Teams.

Atomicwork built Atom on Microsoft's Azure AI Foundry using Azure OpenAI Service as the primary model layer; Microsoft published Atomicwork as an official customer story showcasing the partnership and its enterprise-scale performance.

Cohere's Enterprise AI platform, particularly Command R+ and Rerank, powers Atom; Cohere's team also worked as design partners with Atomicwork on prompt tuning, in an official Cohere customer story.

Atomicwork sells three seat- and AI-coworker-based subscription tiers: Professional starting at $25,000/year (billed annually) for up to 250 users and 2 AI coworkers, Business with flexible pricing for up to 1,000 users, and a custom-contract Enterprise tier for unlimited users.

Alongside subscriptions, Atomicwork offers outcome-based pricing for specific automations: Knowledge Support, Access Automation, and Service Resolution, each billed per outcome with an annual minimum volume.