Cromus for Agencies | Audit, govern, and defend your AI workflows
Cromus is the audit and governance layer for AI-native agencies. Agencies are shifting to AI-first delivery — productizing workflows, automating up to 80% of repetitive work, and charging for outcomes instead of hours. Cromus makes the model defensible.
The new agency pricing model is settling around a clear shape: a setup fee for AI infrastructure customized to the client's business context, plus a monthly retainer for ongoing optimization, governance, and skill pack updates. The agencies that win this transition will be the ones who can prove their AI workflows are efficient, governed, and worth paying for.
What Cromus does for agencies: (1) Audit your internal AI stack — every workflow gets a Croms™ score across preventable cost, latency overhead, failure risk, and structural gaps; (2) Compile workflows into reusable skill packs via SKILL.md — portable, validator-checkable specifications you can reuse across clients and publish to any agent runtime; (3) Govern AI usage with portable policies via ETHOS.md — author once, enforced by any compliant runtime, with a defensible audit trail; (4) Simulate cost before you commit using the Cost Simulator across the verified model registry; (5) Measure what actually happened with the Reality Check Loop, building accurate cost forecasts and calibrated client expectations.
White Label tier ($249/month or $2,490/year) is built specifically for agencies: brand the platform with your agency's logo, manage up to ten isolated client workspaces, no per-seat fees, workspace switcher across client engagements, and agency branding on ZIP exports and share pages. Clients see your work, your branding, your insights — Cromus stays invisible.
Agencies own the open spec artifacts: SKILL.md (capability), ETHOS.md (behavior), MEMORY.md (persistent memory). All three are free, validator-checkable, and ingest into any agent runtime — Claude Managed Agents, Replit Agents, AgentSkills.io, OpenClaw, and the Cromus MCP server. Cromus is the workbench where they get authored, validated, and governed before deployment to whatever runtime your client engagement requires.