Why We Run AI Agents for Clients (Instead of Just Selling Software)
Most AI agent platforms hand you a dashboard and wish you luck. We took a different approach.
The problem with self-serve agent platforms
Every week there's a new AI agent framework. Most of them work in demos. Few of them work in production. The gap between "look what this can do" and "this runs reliably for my team every day" is enormous.
We watched companies spend months trying to get AI coding agents working. They'd configure the tools, write the prompts, set up the CI integration, debug the edge cases — and then the person who set it all up would leave, and everything would break.
What we actually do
We install OpenClaw on your infrastructure, configure agents for your specific codebase, and write custom playbooks that match how your team works. Then we stick around to keep it running.
That means:
- Custom CLAUDE.md files tuned to your conventions, not generic templates
- CI/CD integration that actually works with your pipeline
- Safety policies so agents don't do things they shouldn't
- Weekly optimization based on what's working and what isn't
Why managed beats self-serve
The same reason managed databases beat self-hosted ones for most teams. You could run Postgres yourself. You probably shouldn't.
AI agents are the same. The technology works. The hard part is operations — keeping agents aligned with your workflows as your codebase changes, your team grows, and the models improve.
That's what we do at OCA. We handle the ops so your team can focus on building.
Interested? Book a discovery call — 30 minutes, no pitch deck.