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A chatbot talks. An agent does the work.

Clarm Atlas lets the people who do the work build autonomous AI coworkers from approved sources, tools, memory, and audit rules. No code. IT gets receipts and guardrails instead of another ticket queue.

You tried AI. You got a chatbot.

The work did not disappear. It moved back to your people. Clarm Atlas is built for operations, compliance, and customer-facing teams at banks, healthcare, and public companies. Compliance sets the approved catalog once; operators build agents inside those rails.

See how it works

Chatbot

Talks, then stops

  • Responds to the prompt
  • Returns a paragraph
  • Hands the job back to staff

Atlas coworker

Does the work

  • Builds from approved sources
  • Carries role, tools, and memory
  • Runs the recurring job with receipts
Approved catalogAutonomous runSource receipts

Build an AI coworker in one click

Drag the blocks

triggerReview pack due
approved sourceClient profile + CRM
approved sourceSuitability policy
atlas coworkerBriefing coworker
checksMissing facts flagged
artifactCited briefing pack
Atlas in action

See how teams build governed AI coworkers

Watch Atlas turn approved sources, rules, memory, and tools into a coworker that handles real operational work.

Watch the overview
Atlas launch list

Join the Atlas launch list

Get notified when Atlas becomes available to the public.

How Atlas works

From one workflow to a working coworker

Start with a real operating job, build from the approved catalog, then let the coworker run inside the same rails every time.

Choose the job

Pick a workflow your team already runs by hand.

  • KYC chase or client brief
  • Allocation pack or exception queue
  • Training update or policy bulletin

Build from approved blocks

Atlas assembles the coworker from sources, permissions, tools, and memory your team has already approved.

  • Approved source sets
  • Allowed actions and channels
  • Reusable blocks for the next workflow

Run with receipts

The coworker runs the job, updates the right systems, and leaves a trail your operator and auditor can inspect.

  • Source citations on outputs
  • System updates and Teams briefs
  • Audit trail for compliance evidence
Customers

Teams in regulated and high-trust environments

Healthcare, financial services, and public companies. Same pattern: faster answers, less manual relay work, clear operating boundaries.

β€œLegacy is the largest fertility clinic in North America. With Clarm we extended our hours to 24/7, routed customers to the products they actually needed, and gave them a confidential outlet to discuss sensitive issues, all from one approved knowledge base across web, email, and phone.”
Khaled Kteily, CEO, Legacy

8Γ— usage in 12 months

Why Atlas

Built for teams that cannot ship AI without governance

Atlas gives staff, compliance, and operations teams a governed layer for building agents from approved sources, tools, memory, and audit rules.

Answers cite approved sources

Retrieval stays inside your own document sets, wikis, and connectors.

Approved building blocks

Sources, permissions, and guardrails are set once. Operators compose workflows from that approved catalog.

Audit trail by default

What ran, which sources were cited, and which building blocks were used – ready for internal audit.

Deploy where data must stay

SOC 2 Type II, HIPAA, GDPR, and on-premises / air-gapped options for strict data residency.

Enterprise fit

Fits your stack and procurement checklist

Connect approved sources, deliver to Teams or Slack, and pipe events into the systems you already run.

SOC 2 Type IIHIPAAGDPROn-premises option
  • Microsoft Teams and Slack delivery
  • Webhooks for case, CRM, or ticketing systems
  • REST API for conversation history and exports
  • llms.txt and MCP for structured agent access (optional)
  • No training on your tenant data
FAQ

Questions

A chatbot answers and stops. Atlas agents run multi-step work from approved building blocks – your sources, permissions, and guardrails set once by compliance and IT. Operators compose workflows inside those rails. You get collaboration and an audit trail, not just a text box.
Not when the building blocks are already approved. Compliance and IT define which sources, actions, and channels are in bounds. Operators build agents from that catalog; answers stay cited and actions stay inside policy. Add named-owner checkpoints on specific outputs when you want them - the default is governed autonomy inside pre-approved rails.
Procurement covers SOC 2 Type II, HIPAA, GDPR, and deployment requirements. We do not train on your data. On-premises and air-gapped deployment is available when data cannot leave your environment.
Yes. That is where Atlas is aimed: teams that need source traceability, pre-approved guardrails, and procurement-friendly security. Pilots typically start with one narrow workflow – training updates, policy Q&A, or release comms – not a company-wide AI program.
A first agent can be configured in minutes once sources are connected. Pilots usually scope one workflow and one channel (Teams, web, or email) for a 4-6 week proof. We help you pick a wedge that fits audit, IT, and business-owner requirements.
Compliance and legal approve the building blocks – which sources, which actions, which channels – not every individual email or notice. Atlas records what ran and what sources were cited so auditors can reconstruct decisions. You are not removing governance; you are moving it upstream so operators can ship safely.
We are onboarding launch-list teams now and scope pricing to your workspace and rollout. Most teams start with a single-workflow pilot before scaling across a department. Join the waitlist and we will walk you through plans and a pilot that fits your environment.
Yes. The same substrate powers public chat widgets and internal workflows. Many customers start with a governed answer layer on the site, then add operational agents for staff.
Atlas

Put AI to work under your rules

Start with one approved workflow. Scale across the department when trust is earned.