Security & data
Know how your data and systems will be handled before we build.
The right controls depend on the workflow, data, providers, and risks involved. These are the principles we use to make those choices explicit in every engagement.
Start with the minimum access
We identify the systems and data a project actually needs before requesting access. Access, environments, and responsibilities are documented for the engagement rather than assumed.
Make AI providers visible
A project plan should identify which AI and infrastructure providers are involved, what information reaches them, and which configuration choices are available. We do not treat every model or workflow as interchangeable.
Keep people at consequential checkpoints
Automations are designed with review and escalation appropriate to the risk of the task. Examples on this site include human confirmation for extracted documents, estimates, and sensitive workflow decisions.
Design for handoff
Ownership, administrator access, documentation, exports, source code, hosting, support, and offboarding are agreed in the project scope. Our goal is a system your team can operate—not a black box that only we can access.
Be specific about retention
Project-specific retention and deletion requirements depend on the systems involved and the client’s obligations. We document the applicable approach during discovery instead of making one generic promise for every engagement.
Test before relying on automation
Pilots, realistic test data, acceptance criteria, and monitored rollout help establish whether a workflow is accurate and dependable enough for its intended use.
Questions are welcome before access is granted.
Ask us about a proposed architecture, provider, hosting region, data flow, ownership term, or handoff plan. We will answer based on the actual engagement rather than a generic assurance.
Discuss your requirements →