Deployed an enterprise version of Openclaw for internal use. average total monthly spend 50k
Summary
A user shares their experience deploying an internal enterprise version of the OpenClaw agent system at scale, with 40 agents for 30 users and a monthly spend of $50k, highlighting real-world automation use cases and cost challenges.
Similar Articles
@heyshrutimishra: Your OpenClaw is 3x more expensive than it needs to be. Mine was burning $680/month. Today after auditing I cut it by t…
Developer shares a 6-step audit that cut OpenClaw cloud costs by two-thirds without losing functionality.
Back in February everyone said pre-configured OpenClaw agents would be the business of 2026. I went looking for what happened since
The article reflects on the February hype around pre-configured OpenClaw agents as a business, reporting on a practitioner who successfully runs a setup service for non-technical clients. It suggests the durable business model is ongoing management rather than one-time setup sales.
Roughly 3 month running OpenClaw as my daily agent system. What worked, what broke, what still annoys me.
A 13-week recap of using OpenClaw as a daily AI agent on a Raspberry Pi, highlighting strengths like cron-based automation and memory curation, and pain points like model config issues and subagent orchestration.
When I decided to turn OpenClaw into a SaaS product
The author describes challenges using OpenClaw to automate workflows, noting that as data volume grew, context drift occurred and long-running tasks caused polling issues, leading to a decision to turn the system into a SaaS product with OpenClaw as the entry point.
I Run 20 OpenClaw Agents 24/7! Here’s How to Set Up Agent Teams
The author runs 20 OpenClaw AI agents 24×7 on a $7/month Hostinger VPS, with average daily API costs under $0.25. A self-built orchestrator and command dashboard handle task distribution, approval, monitoring, and multi-user collaboration; a complete, reproducible deployment template is provided.