Our Approach
The goal is not to “use AI”—it is to improve a workflow safely.
Start small. Start safe.
We start with guardrails, ship a small pilot, and only then expand. This approach reduces risk, builds confidence, and delivers measurable value at each step.
Too many AI initiatives fail because they try to do too much too fast, without clear boundaries or success metrics. We take the opposite approach: one workflow, one dataset, one outcome—then iterate.
Privacy-first in practice
Default to on-prem/controlled deployments
Your sensitive data stays on infrastructure you control. Local LLMs, private RAG, and air-gapped workstations are the starting point—not the exception.
Document any cloud usage
When cloud tools are necessary, they are deliberate, documented, and governed. You know exactly what data goes where and why.
Define data handling rules
Clear policies for what data can be used, how it's processed, and who has access. No ambiguity, no assumptions.
Prefer inspectable systems
Open-source models and tools you can audit. No black boxes. You understand what's happening with your data at every step.
Include documentation and handoff
Every engagement includes runbooks, training materials, and knowledge transfer. Your team can maintain and extend what we build.
“We default to keeping your data under your control. If a cloud tool is used, it is deliberate, documented, and governed.”
What this means for you
No surprise cloud bills. You know exactly what infrastructure you're running and what it costs.
No vendor lock-in. Open-source tools and portable solutions mean you're never stuck.
No data anxiety. Clear policies and controlled environments mean you know exactly where your data is.
No dependency on us. We train your team and hand off documentation so you can maintain and extend independently.
Ready to take the first step?
Book a free 30-minute consultation to discuss your privacy requirements and explore how our approach can work for you.
NDA welcome.