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Build an AI coworker for the work your team still does by hand.

Clarm Atlas lets non-technical teams build AI coworker agents using building blocks pre-approved by IT and compliance, giving teams the freedom to deploy complete agents straight into production.

Book a pilotSee how Atlas works
SOC 2 Type IIHIPAAGDPROn-premises option
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The answer is not the job.

The manual work starts where the answer stops. Atlas is built for operations teams at complex, multi-system companies. IT and compliance approve reusable building blocks once; operators turn them into coworkers for order intake, client review, document control, policy updates, and other recurring work.

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

See how one manual job becomes a coworker

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
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.

  • Order intake from email and files
  • Client review or allocation pack
  • Document control or policy update

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

From governed answers to operational work

Legacy proves the governed answer layer with measured customer-interaction outcomes. A fresh-produce pilot is applying the same governed foundation to recurring operational jobs.

Measured outcomeGoverned answer layer · 8× usage in 12 months
“Legacy 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 KteilyCEO · Legacy
Operational pilotRecurring operational workflows

Atlas coworkers are being piloted across sales, quality, finance, and logistics, starting with bounded jobs such as shipment tracking and record validation.

Publicly listed fresh-produce groupPilot · Fresh produce
Why Atlas

Ship operational AI without turning IT into a ticket queue

IT and compliance approve reusable building blocks once. Operators build and deploy coworkers inside those rails, with source receipts and audit trails.

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
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FAQ

Questions

A chatbot answers and stops. Atlas coworkers run the recurring job from approved building blocks: they read the source, apply the rules, create the output, update the allowed system, and leave an audit trail. Operators compose workflows inside rails that IT and compliance approve once.
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.
Atlas is for operations teams at complex, multi-system companies, including food and produce, financial services, aviation, healthcare, and other high-trust environments. Pilots start with one recurring manual workflow, not a company-wide AI programme.
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.
Team plans are $2,000 per month for one workspace with unlimited agents. Enterprise is a custom agreement for global rollout, security requirements, and deployment options. Book a pilot and we will scope the first workflow that fits your environment.
Yes. The same approved sources, permissions, and audit controls support public chat widgets and internal workflows. Public chat is one delivery channel; operational coworkers remain the broader Atlas product.
Atlas

Start with one manual workflow

Bring the real files, the current rules, and the exceptions. Prove one bounded coworker before changing the systems around it.

See how Atlas works