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By adhering to this policy, we demonstrate our readiness to collaborate with clients on AI-powered projects while upholding the highest standards of ethical and responsible AI use. Together, we can harness the power of AI to achieve shared success.

This Policy is governed by Tekai's CTO and CIO (referred as Tekai Management Team)

2. Scope and Applicability

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  • GitHub Copilot
  • OpenAI’s GPT, including GPT 3.5, GPT 4, GPT 4o, GPT o1
  • Claude 3.5 (Sonnet, Haiku, Opus)
  • Deepseek V3, R1 variants (Only use the versions that are hosted by non-Chinese servers)
  • Gemini 1.0 and Gemini 2.0 variants
  • Llama 3.1, Llama 3.2, Llama 3.3 variants
  • OpenRouter aggregatorOpenRouter Framework, using the above mentioned AI tools

Additional tools may be approved on a case-by-case basis, subject to evaluation by the Tekai Management team. At the current time of writing, this includes Tekai's founders, and Tekai's COO.

4.2 Criteria for Approval

To be included in the list of approved tools, each AI platform must meet the following criteria:

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Exceptions may be made for specific projects or clients, but only with prior approval from the AI Governance CommitteeTekai Management team.

4.4 Monitoring and Updates

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  • AI Fundamentals: An introduction to AI concepts, tools, and their applications in software development and offshoring.
  • Ethical AI Use: Training on ethical considerations, such as avoiding bias, ensuring transparency, and protecting data privacy.
  • Tool-Specific Training: Hands-on sessions for approved AI tools (e.g., GitHub Copilot, OpenAI’s ChatGPTmentioned in section 4) to maximize their potential while minimizing risks.
  • Compliance Training: Education on relevant regulations, such as GDPR and the EU AI Act, and how they apply to AI use at Tekai.

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10. Alignment with Client Policies

10.1 Commitment to Client AI Policies

Tekai is dedicated to adhering to the AI policies and guidelines set forth by our clients. This includes:

  • Thorough Reviews: Carefully reviewing and understanding each client’s AI policies, including prohibited uses, data handling requirements, and accountability measures.
  • Compliance Assurance: Ensuring that our AI practices, tools, and workflows fully comply with the stated policies of our clients, including frameworks

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  • like McKinsey’s Client Service Policy, which emphasizes avoiding unintended consequences and protecting vulnerable populations.
  • Non-Negotiable Standards: Abstaining from any AI-related work that conflicts with a client’s policies, even if the work is unpaid or falls outside regulatory requirements.

10.2 Collaboration and Integration

Tekai actively collaborates with clients to integrate AI into their projects in a way that aligns with their specific needs and policies. This includes:

  • Early Alignment: Engaging with clients at the outset of projects to discuss and align on AI-related objectives, constraints, and compliance requirements.
  • Custom Solutions: Tailoring our AI strategies and tools to meet the unique needs and policy frameworks of each client.
  • Transparent Communication: Maintaining open and ongoing dialogue with clients about AI usage, risks, and outcomes to ensure mutual understanding and trust

10.3 Monitoring and Reporting

To ensure sustained alignment with client policies, Tekai implements robust monitoring and reporting mechanisms:

  • Regular Reviews: Conduct periodic reviews of AI workflows to confirm ongoing compliance with client policies.
  • Incident Reporting: Promptly informing clients of any deviations or concerns related to AI usage and collaboratively addressing them.
  • Feedback Loops: Actively seeking client feedback on AI integration and using it to refine our processes.

10.4 Supporting Client Compliance

Tekai supports clients in meeting their own compliance obligations by:

  • Policy Alignment Tools: Providing documentation and tools to help clients understand how our AI practices align with their policies.
  • Risk Mitigation: Proactively identifying and addressing potential risks that could impact a client’s compliance with external regulations or internal standards.
  • Training and Resources: Offering guidance and resources to clients on best practices for AI integration and policy enforcement.

11. References