Proving Agentic AI in Five Weeks, Fully Self-Hosted
A US-based multi-channel retailer wanted to prove agentic AI could deliver business value without moving sensitive data outside its own environment. We helped them launch a secure, self-hosted, multi-user agentic AI pilot in just five weeks.
The retailer needed to test autonomous agents on real supply chain tasks, but data had to stay in-house and value had to be visible in weeks, not months.
We deployed OpenClaw on the client’s own infrastructure and connected it to commercial large language models through a secure API, creating a focused multi-user pilot.
Open-source foundation: A proven framework compressed delivery into five weeks.
Client-owned infrastructure: Commercial data stayed inside the client’s environment.
Focused scope: The first release targeted pricing, stock movement and product status.
Built for adoption: Multi-user access allowed the team to test it under real conditions.
In five weeks, the client had a working agentic AI capability running fully on their own infrastructure. The pilot proved that pricing, stock and product-status tasks could be automated securely, creating the confidence and architecture for the production multi-agent platform that followed.
Bhalekar · Databricks Partner · bhalekar.ai
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