How We Deploy

Your perimeter.
Your data. Your audit scope.

We deploy AI the way enterprise security teams expect: inside your infrastructure, behind your firewall, with your policies applied by default.

Stack

Our Deployment Stack

Self-hosted agents

Our AI agents run on your infrastructure or our hardened VPS. Not a random cloud API. Your files, your databases, your APIs — everything stays inside your perimeter.

MCP integration

Model Context Protocol connects agents directly to your internal systems — CRMs, databases, ticketing, knowledge bases — without exposing them to the public internet.

Evals and monitoring

Every deployed agent ships with quality evaluations, error tracking, and performance dashboards. You see exactly what the AI does and why.

Human in the loop

Agents flag ambiguity. They don't guess. When confidence drops, a human gets pinged. You stay in control.

Process

Deploy Process

01 Scope
Week 1

On-site or remote workshop. Map workflows, data sources, integration points. Identify what to automate and what needs a human.

02 Build
Weeks 2–3

Custom agent instructions, MCP server configs, data pipelines. Built against your real systems, not mock data.

03 Deploy
Week 4

Ship into your perimeter. Self-hosted sandbox, private network, zero public endpoints. Staging environment first, then production.

04 Run
Ongoing

Monitoring, evals, iteration. Agents improve over time. Quarterly strategy reviews align AI deployments with business goals.

Compliance

Why This Matters for Compliance

  • Tool execution stays in your infrastructure
  • Data never reaches third-party cloud during execution
  • Your security policies apply by default
  • Your audit logging captures everything
  • No inbound firewall rules required

Start Your Deployment

30 minutes. No pitch. We'll scope one workflow and show you where AI runs inside your business.

Deployment Audit →
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