For organizations that know what they want AI to do and need it built in a way their security, risk, and audit teams will approve.
Most AI builds bolt governance on at the end, if at all. Automate 48 builds it in: the same controls the assessments look for are part of the design from the first commit.
Recent builds include an email triage agent that runs on-premises with draft-before-send human approval, and the comply platform itself, which runs on Cloudflare with tenant-scoped data access, secrets in encrypted storage, and classification-tagged logging of every model call.
Requirements, risk tier, data flows, and control design approved by your stakeholders.
Iterative build with security controls implemented alongside functionality.
Functional testing, adversarial testing of AI-specific risks, and control evidence.
Controlled rollout, monitoring, documentation, and team training.
Platform choice follows your approved-provider list and data requirements. Recent work uses Anthropic Claude, Python, Google Apps Script, and Cloudflare.
You do. Code, configuration, and documentation are delivered to your repositories.