Clarm
Governed AI coworker builder: IT approves the blocks once, your team assembles agents that finish recurring ops work and leave an audit trail.
Buy Atlas when the job has to actually finish and someone will later ask who approved it — regulated ops, multi-system workflows, audit obligations. The $5,000/month Team plan includes unlimited agents in one workspace and any model, so the real comparison is an internal governance build or Copilot Studio plus custom plumbing, not a $40/month chatbot. Pass if you want unattended agents with no pre-approved rails, or if a FAQ widget is the whole project.
Verified 1d ago · liveness 80/100 · cite: rightaichoice.com/tools/clarm
- Operations teams at multi-system companies automating recurring work like order intake, claims, or client review packs
- Regulated teams in banking, healthcare, aviation, food, and public sector needing source citations and audit trails
- Organizations with strict data residency needs requiring on-premises or air-gapped deployment
- Departments where IT and compliance approve a source and action catalog once, then operators ship agents themselves
- Teams that want fully autonomous agents with no pre-approved rails or checkpoints
- Buyers shopping under a few hundred dollars a month — Team starts at $5,000/month
- Simple FAQ or website chatbot projects with no compliance or audit requirement
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Skip Clarm if you want agents that act on customers or systems without a humans signs off first — the named-owner checkpoint is the product, not a setting you switch off.
The $5,000/month Team plan covers one workspace only — a second department wanting its own workspace means a second plan.
At $5,000/month for one workspace with unlimited agents and any model included, Team is priced against an internal governance build or Microsoft Copilot Studio plus custom plumbing — not against per-seat chatbot tools in the tens or hundreds of dollars. If your workflow has no audit or approval obligation, Zapier plus a chat tool is far cheaper and Clarm is overkill. Enterprise is custom and adds tenant isolation, SSO/SAML, and self-hosting, which is where regulated global rollouts land.
In short
Clarm — Governed AI coworker builder: IT approves the blocks once, your team assembles agents that finish recurring ops work and leave an audit trail. Best for Operations teams at multi-system companies automating recurring work like order intake, claims, or client review packs, Regulated teams in banking, healthcare, aviation, food, and public sector needing source citations and audit trails, Organizations with strict data residency needs requiring on-premises or air-gapped deployment. Plans from $5,000/mo.
What's new in Clarm
Checked 8 days agoAcross the latest 5 updates: 2 feature updates and 3 news mentions.
Clarm publishes Featured article on workflow-building substrate
Clarm argues the agent-building substrate is the durable asset over single-purpose AI workflows, positioning the approved-catalog model as the long-lived layer.
Clarm reframes inbound chat product as one agent workflow
Clarm confirms its inbound chat product remains live but now sits as one workflow on its broader agent builder rather than as the core product.
Clarm publishes approval-step guide for AI agents
The guide details named-owner sign-off for agent outputs touching customers, money, or records, with enforced gates and decision logs.
Atlas v0.5 substrate, approval queue, and audit
Atlas adds vector retrieval, structured entity graph, compiled-truth wiki, owner checkpoints, source-receipt enforcement, BYO-LLM, and per-tenant audit logs.
Live-verified reciprocal-rank-fusion retrieval
BM25 plus dense vector retrieval shipped behind a per-organization allowlist and verified on a Swiss FINMA regulatory corpus with audited uplift over the prior baseline.
What people actually say about Clarm — is it worth it?
We scanned public community sources for Clarm on Aug 15, 2026 and could not establish that the discussion we found is about this tool rather than something else sharing its name. Our own analysis of that scan says the posts were off-subject. Rather than publish a sentiment score built on the wrong subject, we publish nothing here and re-run the scan.
Viability Score
How well maintained and how widely used is Clarm? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →Key Features
- Visual no-code workflow builder for assembling AI coworkers from approved building blocks
- Approved catalog of sources, permissions, tools, memory, and guardrails set once by IT and compliance
- Source-cited answers naming the document, section, and version they came from
- Source-receipt enforcement — if the answer is not in approved data, Atlas says so rather than guess
- Named-owner checkpoints pause actions touching customers, money, or records for sign-off
- Approve, reject-with-reason, and rewrite controls on paused outputs
- Rejection reasons captured into the audit trail and manually promotable to permanent rules
- Per-tenant audit log of every retrieval, draft, approval click, and model call
- Audit export generators for SOC 2, HIPAA, Swiss FADP (FINMA), and GDPR evidence packages
- Atlas v0.5 memory layer: vector retrieval, structured entity graph, compiled-truth wiki
- Live-verified reciprocal-rank-fusion retrieval (BM25 plus dense vector)
- Per-organization retrieval allowlist for A/B testing retrieval architecture tenant by tenant
- Per-customer entity schema configured rather than coded, across banking, healthcare, supply chain, aviation
- Deploy coworkers to a public web chat widget, Microsoft Teams, or Slack
- Write back into case, CRM, or ticketing systems via webhooks
About Clarm
Clarm Atlas is an agent builder for operations teams at companies that run across too many systems. You don't start from a model; you start from an approved catalog. IT and compliance approve sources, permissions, tools, memory, and guardrails once, and business operators assemble those blocks into AI coworkers that handle repeating jobs — order intake from email and attachments, claims tracking, client review packs, allocation plans, document control, policy updates, and onboarding training. The distinction Clarm draws is blunt: a chatbot answers and hands the work back to staff. An Atlas coworker reads the source, applies the rules, produces the deliverable, updates the system it's allowed to update, and leaves a receipt. Retrieval stays inside your document sets, wikis, and connectors, and answers cite document, section, and version. Coworkers arrive in Microsoft Teams, Slack, or a web chat widget, and write back into case, CRM, or ticketing systems. Atlas v0.5 (May 2026) added the memory layer — vector retrieval, a structured entity graph, and a compiled-truth wiki — plus live-verified reciprocal-rank-fusion retrieval (BM25 plus dense) validated on a Swiss FINMA corpus behind a per-organization allowlist. Named-owner checkpoints pause any action touching a customer, money, or a record for approve, reject-with-reason, or rewrite, and a per-tenant audit log covers every retrieval, draft, model call, and approval click, with export generators for SOC 2, HIPAA, Swiss FADP, and GDPR evidence. Any model is included in the plan — Anthropic Claude, Azure OpenAI, AWS Bedrock, GCP Vertex AI, Together AI, or self-hosted inference — and switching is a configuration change, not a rebuild. Team is $5,000/month for one workspace with unlimited agents. Enterprise adds dedicated tenant isolation, SSO/SAML, and self-hosted options. Two things to weigh before you commit. Access opens in waitlist waves, and the whole thing runs on a two-person Y Combinator X25 team that has been live only since December 2025 — this is a real execution bet, not a safe incumbent purchase. Clarm now describes Atlas as the product and its original inbound chat widget as one workflow on top of it.
Behind the Verdict
Atlas is best understood as a governance product with an agent builder attached, not the other way around. The catalog — approved sources, permissions, tools, memory, guardrails — is set once by IT and compliance, and business operators assemble from it. That is the architectural bet: instead of reviewing each agent's output, compliance reviews the building blocks. Clarm's own framing is that this moves governance upstream rather than removing it. What that buys you in practice: source receipts on every answer naming document, section, and version; named-owner checkpoints that pause any action touching a customer, money, or a record with approve, reject-with-reason, or rewrite; and a per-tenant audit log of every retrieval, draft, approval click, and model call, exportable as SOC 2, HIPAA, Swiss FADP, or GDPR evidence. Rejection reasons capture into the audit trail, and an operator can promote a reason into a permanent rule — but never automatically, which is a thoughtful guard against a rushed rejection becoming policy. The retrieval stack is more serious than the average agent wrapper. Atlas v0.5 shipped a memory layer combining vector retrieval, a structured entity graph, and a compiled-truth wiki; the live-verified reciprocal-rank-fusion retriever (BM25 plus dense vector) was validated on a Swiss FINMA regulatory corpus with audited uplift over a bag-of-words baseline, behind a per-organization allowlist. Clarm also gates merges on recall regression against a real corpus, and uses coverage-gated pass rate rather than pass rate alone, on the argument that pass rate is a vibes metric on lenient judges. That is the reasoning of a team that has been burned by retrieval evals, and it shows. Model portability is real and unusual: Anthropic Claude, OpenAI, Azure OpenAI, AWS Bedrock, GCP Vertex, Together AI, or self-hosted inference all route through a model-portable caller layer, with no separate model subscription and no key to bring. If your procurement team has opinions about model vendors, switching is configuration. Where it does not fit. The checkpoints are the product, so if you want unattended agents touching customers without sign-off, this is the wrong tool. The $5,000/month Team floor rules out anyone thinking in tens or hundreds of dollars per month. Access is waitlist-gated in waves, so you cannot simply start today. And the honest risk disclosure belongs here: a two-person Y Combinator X25 team, live since December 2025, shipping a platform with tenant isolation, audit exports, and air-gapped deployment on the roadmap. Clarm publishes its own changelog noting the 2026 agent-security crisis and that only about 14% of agents reach production with full security and IT approval — they are selling into that gap, but they are also exposed to it. Pilot one bounded workflow, one channel, four to six weeks, before you make this load-bearing.
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Real-world workflow fit
Concrete scenarios for the personas Clarm actually fits — and what changes day-one when you adopt it.
Weekly allocation plans are assembled by hand from spreadsheets, price lists, and shipment records. The team builds one Atlas coworker from the approved source set with the allocation rule block, and runs it weekly with a named owner signing off before plans go to customers.
Outcome: The weekly allocation plan is produced from approved source data within the defined rules, and every output carries a source receipt plus an approval record the internal auditor can replay.
Client review packs take analysts days to assemble. IT and compliance approve the document sets, permissions, and guardrails once; operators assemble a client-review coworker that drafts the pack from approved CRM notes and policy with citations.
Outcome: Analysts review cited drafts instead of assembling them, and the bank gets a per-tenant audit log of every retrieval and approval click it can export for FINMA evidence.
Orders arrive as email plus PDF and Excel attachments. An order-intake coworker reads the email and attachment, checks price and quantity against the customer price list, registers valid orders into the ERP, and routes exceptions to the planner.
Outcome: Re-keying of order emails drops out of the team's day, exceptions are visible with a reason, and each registered order carries the source and rules that produced it.
Use Cases
- Read order emails and attachments, verify price and quantity, and register the correct order into the ERP.
- Draft cited account briefing packs from approved CRM notes and policy for client review.
- Automate KYC chase workflows with verified data and flagged missing information.
- Generate compliance-ready audit logs for every agent action ahead of regulatory review.
- Route inbound support triage to the right product team with source-backed answers.
- Run shipment recovery workflows with owner approval before any customer contact.
- Run weekly allocation plans for a fresh-produce importer from approved source data.
- Answer cabin-crew onboarding questions from a governed knowledge base (Swiss airline pilot).
Models Under the Hood
as of 2026-10-18
Limitations
- Team is $5,000/month for one workspace with unlimited agents; Enterprise is scoped on a call.
- Access is waitlist-gated and opens in waves, so you cannot start the moment you decide.
- The product has been live only since December 2025 and is built by a two-person Y Combinator X25 team, so roadmap risk is real.
- Named-owner checkpoints pause any action touching a customer or external system, so fully autonomous operation is not possible for those actions.
- Compliance certifications beyond SOC 2 Type II, HIPAA, Swiss FADP, and GDPR are self-declared rather than third-party audited in the case of FADP.
- The operator-built canvas editor for creating agents without code was still behind a super-admin gate during the pilot phase, rolled out per account.
as of 2026-10-10
Verification history
We have re-verified Clarm 10 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-checked, vendor evidence unchanged
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Showing the 6 most recent of 10 verification passes.
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Clarm tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Team
$5,000/mo
Ideal for
A single department at a mid-size or enterprise company rolling out one to a few governed workflows on approved sources, with IT and compliance already bought in.
What this tier adds
Starting tier: $5,000/month for one workspace with unlimited agents, approved building blocks, checkpoints, and audit trail.
Enterprise
Custom
Ideal for
Regulated organizations doing global rollout with data residency, SSO, and procurement requirements — typically banking, healthcare, aviation, or public sector.
What this tier adds
Adds tenant-isolated retrieval and storage, SSO/SAML, self-hosted deployment options, a dedicated support engineer, and custom pilot and procurement terms.
Where the pricing makes sense
The company stage and team size where Clarm's pricing actually pencils out — and where peers do it cheaper.
At $5,000/month for one workspace with unlimited agents and any model included, Team is priced against an internal governance build or Microsoft Copilot Studio plus custom plumbing — not against per-seat chatbot tools in the tens or hundreds of dollars. If your workflow has no audit or approval obligation, Zapier plus a chat tool is far cheaper and Clarm is overkill. Enterprise is custom and adds tenant isolation, SSO/SAML, and self-hosting, which is where regulated global rollouts land.
Setup time & first value
How long it actually takes to get something useful out of Clarm — broken out by persona, not the marketing-page minute.
Connect an approved source and your first agent is configurable in minutes; budget an hour to get a team oriented. Realistically, a pilot takes four to six weeks for one workflow on one channel (Teams, web, or email) including scoping the first job with audit, IT, and business owners. Enterprise rollout timing depends on your procurement and data-residency requirements, and access opens in
Switching to or from Clarm
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From a hand-built chatbot on a third-party LLM: keep the help content, move it behind an approved source set so answers cite document, section, and version.
- →From Microsoft Copilot Studio: rebuild the workflow as approved blocks in Atlas so checkpoints and audit trail come standard instead of being custom plumbing.
- →From Zapier plus a chat tool: replace the trigger-and-action chain with an Atlas coworker that reads the source, applies rules, and writes back into the case or CRM system.
- →From a spreadsheet-driven recurring report: point the coworker at the same source files and the rule block that encodes what your team currently applies by hand.
- →From an internal RAG prototype: move retrieval onto the substrate with the memory layer (vector, entity graph, compiled-truth wiki) and per-tenant audit logging.
- ↗To a plain chatbot tool: if your workflow never needed an approval record or citations, you are paying for governance you are not using.
- ↗To Microsoft Copilot Studio: viable if you are already deep in the Microsoft stack and can absorb building checkpoints and audit plumbing yourself.
- ↗To an internal build: you would need to reproduce approved catalogs, source receipts, named-owner checkpoints, and per-tenant audit export — a governance project, not a prompting project.
- ↗To Zapier plus a chat tool: fine for simple triggers and notifications, but it does not produce cited deliverables or an audit trail.
Integrations
Resources & Guides
Tutorials & Learning
YouTube returned 6 videos for “Clarm”, and we withheld 6: 6 could not be judged, because “Clarm” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about Clarm.
Official links
Tools that pair well with Clarm
Common stack mates teams adopt alongside Clarm, with the specific reason each pairing earns its keep.
Agent.ai
No-code AI agents for HubSpot and CRM workflows, with a 19-action BuilderPack for HubSpot Agent Builder.
Toolhouse
Toolhouse runs plain-language task delegation to AI workers — email a brief, get finished work back in your inbox.
Instabase
Instabase (now SuperApp) turns multi-document packets into auditable, verifiable intelligence with packet-aware AI agents.
Featured Head-to-Head Comparisons
Clarm vs Codametrix
Choose CodaMetrix if you're a large health system wanting to automate medical coding across all service lines with deep EHR integration and proven ROI (30% cost reduction, 60% fewer denials). Choose Clarm if you need to build governed AI agents for regulated teams that require source-cited answers, human checkpoints, and full audit trails—ideal for compliance-heavy workflows outside of coding. They serve different needs: CodaMetrix is specialized coding automation; Clarm is a general governed AI agent platform.
Clarm vs Presto Voice
Presto Voice is the right choice if you run a QSR drive-thru chain and need to boost revenue and order accuracy through voice AI automation. Clarm is the right choice if you are in a regulated industry and need governed, source-cited AI agents with audit trails and human-in-the-loop checkpoints. They do not compete directly; pick based on your use case.
Clarm vs Isomorphic Labs
These tools serve completely different markets — Clarm is for regulated teams needing governed AI agents with audit trails, while Isomorphic Labs is a research organization partnering with pharma giants on drug discovery. Choose Clarm if you need compliant, source-cited AI for customer-facing or internal processes in healthcare/finance. Skip Isomorphic Labs unless you are a large pharma company seeking a deep-pocketed AI drug discovery partner.
Alternatives to Clarm
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Frequently Asked Questions
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