Agents & Automation
AI Build
Agents that workinside your guardrails.
Copilot Studio, OpenClaw, Bedrock, or custom runtimes—OWCER builds governed agents connected to your data, approvals, and daily tools. Not demo chatbots that stall at the sandbox boundary.
The problem
Agents without governance become shelf-ware
Most organizations can spin up an agent in a vendor console. Few can explain who it talks to, what it can change, or how it survives an audit. We see the same blockers across mid-market and regulated buyers.
Prototype agents, no production path
A Copilot Studio bot or Bedrock agent demos well but never connects to the systems of record, approval queues, or ticketing tools where work actually happens.
Tool access without boundaries
Agents with broad API keys or unscoped connectors raise security objections. Without scoped permissions and human-in-the-loop rules, every deployment waits for “later.”
No success metric
Leadership funded an agent pilot but cannot answer how many tasks it completed, how often humans overrode it, or whether it reduced cycle time.
Runtime sprawl
Copilot Studio here, OpenClaw there, a custom Lambda agent elsewhere—no shared patterns for logging, versioning, or retiring agents that no longer earn their keep.
Our approach
Governed agents from design to daily use
We start with the workflow owner and the approval path—not the prompt. Then we pick the runtime that fits your stack, security posture, and team skills.
Outcomes
What you get
Production-ready agents
Agents that complete defined tasks—intake triage, status updates, document routing—not open-ended chat experiments.
Guardrails & approvals
Human-in-the-loop checkpoints, scoped tool access, and logging aligned with AI governance and your security review process.
Operational metrics
Dashboards and review cadences so you know which agents earn expansion and which should be retired.
Build agents your security team can approve
Start with an AI Activation Assessment to map agent opportunities and readiness—or contact us if you already know the workflow an agent should own.
