Clarm GTM brain
Clarm Atlas lets enterprise operations teams build governed AI agents to perform recurring back-office work using approved data and systems.
category
Governed enterprise AI agentsmarket profile
- text: Large organizations have recurring work across email, spreadsheets, documents and ERP systems, but automation must satisfy IT and compliance controls.
- text: Enterprise agent builders compete on low-code usability, integrations, governance and deployment options.
personas
- title: Head of Operations or Supply Chainpains:
- Staff re-key order emails into ERP systems and chase claims across spreadsheets
- Automation projects wait in an engineering queue while exceptions accumulate
- title: CIO or enterprise IT leaderpains:
- Must enable business-led automation without uncontrolled access to systems or data
- Needs reusable permissions, deployment options and integration with existing workflows
- title: Compliance or risk leader at a regulated companypains:
- Needs to trace outputs and actions to approved sources
- Must demonstrate controls and audit history for automated decisions
icp
- text: Large, multi-system businesses with repetitive order intake, claims or allocation work are the primary operational fit.
- text: Banks, asset managers, healthcare and aviation teams with audit obligations and document-heavy workflows are named target segments.
- text: Departments with a budget of at least $5,000 per month and access to process owners and IT sponsors fit the published Team offer.
message pillars
- text: Automate complete operational jobs in existing systems.
- text: Give operators a no-code way to describe and build agents.
- text: Use sources and controls approved by IT and compliance.
- text: Leave traceable evidence for oversight.
objections
- objection: Can business users accidentally grant an agent excessive access?response: Clarm says agent grants can only narrow organizationally approved permissions; validate this against your identity and access model.
- objection: Can AI safely enter orders or handle regulated work?response: Start with a bounded pilot, representative exceptions and owner checkpoints; agree accuracy and escalation thresholds before live writes.
- objection: Must our sensitive data leave our environment?response: The company advertises enterprise self-hosting and other deployment options; verify the exact architecture and contract for the chosen plan.
competitors
- name: Microsoft Copilot Studiowhy: Low-code agent builder integrates with the Microsoft enterprise ecosystem and governance tools.
- name: Salesforce Agentforcewhy: Enterprise agent builder competes for workflow automation around customer data.
- name: UiPathwhy: Automation platform competes for operational processes and enterprise agent workflows.
keywords
- governed AI agent platform
- enterprise no code AI agents
- AI order processing ERP
- automate customer order emails
- AI agents audit trail
- regulated AI workflow automation
- AI claims processing
voice
- Operational and concrete
- Governance-conscious
- Confident and outcome-oriented
signals
- text: Operations teams are processing substantial order or claim volumes manually across inboxes and ERP systems.
- text: A regulated enterprise has an AI initiative stalled on permissions, traceability or audit requirements.
- text: A department wants to automate a recurring workflow but faces an engineering backlog.
stack
- ERP
- Microsoft Teams
- Claude
- OpenAI
- AWS Bedrock
- GCP Vertex AI
pricing
model: flat
starting price: $5,000 per month for one Team workspace with unlimited agents
motion
sales_ledchannels
- Website
- SEO
- YC
- Customer stories
confidence
highFounders
- name: Marcus Storm-Mollardtitle: Founder/CEOrole: CEObio: I speak 8 languages. Built Clarm to fix productivity (2025-?). Built the world's most accurate consumer goods forecasts using AI at NielsenIQ (2022-24). $0-7m ARR in 2y. Visiting Research Fellow at the University of Oxford; published AI swarm research with a MIT journal (2021). Led AI at Deutsche Bank SeS before AI was cool (2019-21). $10m ARR in 2y. Banker at Deutsche Bank. Financed bridges, markets, hospitals etc from Peru to Taiwan. MSci Physics, Imperial College London.