Data boundaries
On Claude and OpenAI business plans, your data isn't used to train their models. For the strictest needs, a private in-house model keeps everything inside your network. You choose the boundary.
Security & privacy
Practical AI — without handing over your data.
The biggest reason established businesses hold back on AI isn't capability — it's control. Where does the data go? Who can see it? What can the AI do on its own? Here's exactly how we keep you in control of all three.
- Not training dataOn business plans, your data isn't used to train models
- Human approvalSensitive actions route to a person — never autonomous
- You own the optionRun it on a private model inside your own network
The principle
Controlled AI, not autonomous AI.
Our whole approach is built on one idea: AI should make your team faster without taking decisions out of their hands. The AI drafts, checks, and proposes; people approve. That's what makes it safe to put near real business data.
- 01AI handles the repetitive, low-risk steps
- 02Sensitive actions stop for human approval
- 03Every step is checked against your rules
- 04Everything is recorded in an audit trail
How we protect your data
Three layers of control.
Security isn't one setting — it's where the data lives, who can reach it, and what's allowed to happen to it.
Access controls
We configure roles, permissions, and connection limits so the AI only reaches the data it should, and only the right people can use it. Least access by default.
Audit trails
Every action the AI takes — what it read, what it drafted, who approved it — is recorded, so you always have a clear, reviewable history.
Where your AI runs
Pick the boundary that fits your data.
The right setup depends on how sensitive your data is and what your rules require.
Hosted business plans
Claude or OpenAI on a business/enterprise plan — fast to deploy, capable, and your data isn't used for training. Right for most everyday work.
Private / in-house
A self-hosted model on hardware you control. Data never leaves your network — built for strict privacy and data-residency requirements.
A hybrid of both
Hosted for general work, private for the sensitive data and high-volume tasks. We help you draw the line in the right place.
Clear lines
What we never do.
Trust is easier when the limits are explicit. These are ours.
No training on your data
We don't build setups that feed your business data into model training. Your information is used to do your work, not to improve someone else's product.
No autonomous high-risk actions
The AI never sends money, deletes records, or makes commitments on its own. Those always require a human to approve.
No unnecessary data hoarding
We connect the AI to what it needs for the task and nothing more, and we keep data only where your policies allow.
Want your team using AI confidently inside these guardrails — on a platform you own? That's exactly what the AI Power Lab sets up and trains.
See AI Power LabCommon questions
AI security & privacy — FAQs.
Is our data used to train AI models?
Not on the setups we build. On Claude and OpenAI business and enterprise plans, your data is not used to train their models. With a private, self-hosted model, your data never leaves your network at all.
Can the AI take actions on its own?
Only the ones you allow. We build controlled AI: routine, low-risk steps can run automatically, but anything sensitive — payments, sends, approvals, deletions — routes to a person for sign-off. The AI drafts and proposes; humans decide.
Can we keep everything inside our own network?
Yes. For the strictest data-residency and privacy needs, we set up a private, self-hosted model that runs on hardware you control, so your data never leaves your environment.
Who can access our data and the AI tools?
You do. We configure roles, permissions, and access limits so only the right people and systems can see and use the AI and the data it touches, and every action is recorded.
Does this meet our compliance requirements?
We build to support your data-residency, access-control, and audit requirements, and we work within your existing policies. We're not a substitute for your compliance team — we give them controls and records to work with.
Adopt AI with confidence