Security
Security practices for AI workflow deployments
Apples treats customer data, API access, and automated actions as production responsibilities from day one.
Apples is applying to the OpenAI Partner Network and Anthropic partner ecosystem. We are not currently representing ourselves as an approved OpenAI or Anthropic partner.
Operating principles
Least-privilege access for connected accounts and APIs.
Human approval for outbound email, SMS, social, and payment-impacting actions.
Clear AI disclosure for AI voice or chat experiences where applicable.
No public exposure of customer credentials, private files, or raw infrastructure details.
Logs and audit trails for automated decisions, failed runs, and manual approvals.
Data minimization: connect only the systems needed for the approved workflow.
AI safety boundaries
We design workflows with approval gates for high-impact actions. AI systems can summarize, draft, extract, classify, and recommend. They should not silently send sensitive outbound messages, alter financial records, or change customer commitments without agreed controls.
Governance artifacts
Artifacts Apples prepares for partner reviews, customer scoping, and production handoff.
Scope of work with workflow owner, allowed actions, blocked actions, and launch criteria.
Customer intake worksheet covering systems, data sources, users, risks, and desired business result.
Security one-pager for data handling, access control, review gates, and support boundaries.
Implementation methodology for audit, prototype, production build, training, and support.
Run log covering automation runs, failures, manual approvals, and follow-up fixes.
Case-study approval process before using customer names, metrics, or screenshots publicly.
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