BeforeQuery vs Atomicwork
Atomicwork is a modern AI-native ITSM platform aimed at mid-market IT teams tired of ServiceNow's overhead. BeforeQuery competes on the same wedge — modern, chat-native, grounded — with broader cross-department reach, open protocols, and transparent pricing including a real free tier.
At a glance
Atomicwork column compiled from atomicwork.com/product, /solutions, and public pricing (as of 2026-09-07). Where a claim is not on Atomicwork's public site, the cell says so.
When to pick BeforeQuery
You want one platform for the whole company, not just IT + adjacent. Atomicwork is IT-first with adjacent EX workflows; we ship HR, Finance, Security, Legal, Sales, Marketing, RevOps, Support as first-class modules with named AI Employees. You want open protocols and an open SDK. MCP for Claude Desktop / Cursor, A2A for agent-to-agent flows, @beforequery/agents on npm. Atomicwork is a closed platform. You want BYO model per workspace. Anthropic today, OpenAI next quarter, self-hosted after that — Models Studio holds the credential. You want grounding you can inspect: paragraph-level source shown on every answer; Context Graph traversable by operators; audit log on every write. You want a real free tier (100 questions/mo forever, no card) before you sit through a demo.
When to pick Atomicwork
You want a modern AI-ITSM built end-to-end for IT teams. Atomicwork's IT-focus is deeper by default; if you never intend to serve HR/Finance/Legal from the same platform, our multi-module story is scope you won't use. You value the integrated portal + chat + email UX Atomicwork ships for employee-experience workflows. Ours is chat-first by default; the portal is a lighter-weight surface. You want the Atom assistant brand as a single voice across your IT surface. Our 10 named AI Employees (Ivy for IT specifically) are the opposite pattern — persona per department. Preference call.
When it is close
Both are modern AI-native ITSM platforms competing on the same wedge — chat-native, grounded, faster than ServiceNow. Deciding factors are usually cross-department expansion, open-protocol / SDK need, and preferred UX pattern (single-Atom vs. per-department AI Employees).
Frequently asked questions
Are you and Atomicwork the same category?
Overlapping category (modern AI-native ITSM), different scope. Atomicwork is IT-first with EX workflows; we're cross-department (9 modules) with IT as one AI Employee (Ivy). Buyer profile overlaps for IT-first evaluations; diverges once HR / Finance / Security are in scope.
Can we migrate from Atomicwork?
Yes. Re-index your knowledge sources, install Ivy (the IT AI Employee), map your existing automations to our pre-built IT playbooks, repoint the Slack/Teams bot. Median migration is 2-3 weeks for a mid-market IT team, faster if you're not customising heavily.
How does grounding differ?
Both platforms ground answers in indexed content. We show the exact source paragraph alongside every answer and abstain cleanly on low-confidence questions (verdict step). The UX invites verification.
What about the persona pattern (Atom vs. our 10 AI Employees)?
Preference call. Atom is a single AI voice across IT — clean for IT-only teams. Our named AI Employees (Ivy / Harry / Fin / Sig / Lex / Sol / Mel / Rev / Remy / Dex) work when you're serving multiple functions and want each to have its own face. Materially improves adoption in cross-department deployments.
How does the pricing compare?
Both public but with different structures. Ours is meter-based (questions + playbook runs + actions) with clear seat tiers; Atomicwork tends toward per-user annual with add-ons. Compare against your actual usage pattern; the meter approach usually wins for teams that use chat heavily.
Try BeforeQuery in 5 minutes
Free plan, no credit card. Connect a source and see the multi-employee model on your own data.