Data Never Leaves
Every system runs on hardware you own, inside your network. Nothing your people type travels to a vendor's cloud.
AI Services
Three steps to AI that stays inside your walls.
We don't sell a tool and walk away. We assess where AI actually pays off, pilot it on your own hardware, and operate it for the long run. Your data never leaves the building at any step.
Compliance Built In
Access controls, audit trails, and documentation designed for regulated work from the start — not bolted on after.
Lower Energy Overhead
Right-sized open-weight models on local hardware, not oversized cloud inference you rent by the token forever.
How We Work
A ladder, not a leap.
Most AI projects fail because they start with a deployment. We start with a question — where does this actually help? — and only move forward when the answer holds up. Each step stands on its own, and you decide whether to take the next one.
1
Assess
AI Discovery Session
We map where AI pays off in your organization and hand you the full plan: value, governance, security, training, and measurement. Yours to keep, whether or not you ever deploy.
- Value Map of your highest-payoff workflows
- Governance, security, and training plans
- Measurement framework with baseline capture
- Honest go / no-go readiness verdict
2
Pilot
Sovereign Agent Pilot
Deployment of one agent over one document domain. Obsidian vault as a central brain to store and track SOPs, quality records and knowledge retrieval. Each piece running inside your network. Success metrics agreed before day one, measured against the baseline from your assessment.
- One working agent on your own infrastructure
- Architecture document for your IT team first
- Results measured against an agreed baseline
- No client production data leaves the building
3
Operations
Managed Operations
For deployments that prove out, we keep them running: monitoring, model and content updates, audit-log review support, and a quarterly refresh of your AI policy as your tools and the rules around them change.
- Ongoing monitoring and updates
- Audit-log review support
- Quarterly policy and documentation refresh
- A named point of contact, not a ticket queue
We'd rather tell you "not yet" than sell you the wrong step.
A bad AI deployment costs more than the manual task it replaced. Every engagement is priced to be worth it on its own, and every recommendation is one we'd make if we earned nothing from the next step. No ROI guarantees, no invented case studies, no demo with your real data.
Next Step
Start with the question, not the deployment.
Our AI Discovery Session is free and determines the right first step for your organization.