AI adoption at Amenify - Principles for Enterprise Readiness

Written By Danish Chopra

Principles for enterprise readiness and responsibility as an AI-first business:

1.Trust beats intelligence
Customers, partners, and regulators care less about whether a system is “smart” or AI-driven and more about whether it is safe, predictable, and accountable.

2. Enterprise-grade by default
Any AI system used in production must meet enterprise standards and align with SOC2 requirements and Amenify IT Security Policy Document V1.2 including:

    • Governance, and observability

    • Data access boundaries

    • Role based access control

    • Audit logging

    • Secrets and key management

    • Vulnerability and dependency management

    • Defined blast radius

    • High availability (no single point of failure)

    • Human override, and kill-switch

      A single uncontrolled AI incident can materially damage the business, partner trust and company reputation.

3. Automate work, not ownership

Use AI to replace tasks, not accountability. Clear human ownership must be explicitly defined for every AI-assisted decision or outcome.

4. Problem first, agent second

AI adoption must start with clearly defined business problems. Problems should be decomposed into loosely coupled sub-problems, and AI agents should be applied only where they:

  • Adhere to the principles in this document, and

  • Deliver measurable, outcome-driven impact

5. Design for failure, not just success

AI systems must be validated against edge cases, misuse, and abuse scenarios - not just happy paths. Human-in-the-loop oversight is required for:

  • Phased roll out

  • Scaling

  • Continuous learning and improvement

  • Regular auditing

  • Rapid shutdown or rollback in the event of failure

Note on AI tools and Open source usage in production

All AI tools - including open source tools - are subject to:

  • License review

  • Security and risk review

  • Dependency and vulnerability scanning

For Personal Usage of AI tools

No exposure to credentials associated with company products (e.g., GSuite, Slack, Admin Portals, etc.)

  • No exposure to Trevor data

  • No credit cards linkage

  • Example of something that is permitted

    • Leveraging Gemini Veo + Nano Banana Pro to make a video used for marketing

  • Example of something that is NOT permitted

    • Leveraging Clawd Bot to help you answer your Amenify Emails and set up a calendar meeting on your behalf

This ensures full visibility for SOC 2 audits, vendor security questionnaires, and partner compliance reviews. Teams must engage with the Engineering team before building or deploying any AI-based solution at Amenify.

Danish Chopra
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Leveling Up Amenify as an Enterprise