AI Usage Policy
We exclusively deploy AI for high-volume, low-complexity tasks—areas where human agents can fully curate, audit, and replicate results but lack the speed and scale of automation.

AI Validation Process
Every AI input (training data) and output (generated content) undergoes human-led audits for accuracy and completeness, with guardrails applied before, during, and after processing. Additional human reviewers and secondary LLMs provide cross-checks and refinements as needed.

AI Training Principles
Training data is strictly limited to public domain sources, non-proprietary information, or our own IP, prioritizing scalability, accountability, and precision.
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Data Sensitivity Controls
All materials fed to AI are whitelabeled to anonymize them—no client, individual, or third-party sensitive/proprietary data is ever exposed.
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Data Security Practices
Client data is rarely hosted on our network unless explicitly required and agreed; our hosting, conferencing, and email use industry-leading providers with 2FA, encryption, and best-in-class security. We are fully versed in Sarbanes-Oxley (UK/US), ITIL, GDPR (including right to be forgotten), corporate compliance, and audit standards.