Clients are informed about where and how AI is applied during project delivery.
At Sequoia, we are committed to adopting Artificial Intelligence (AI) responsibly, securely, and transparently across all client engagements. Our goal is to ensure that AI enhances engineering quality, improves efficiency, and supports innovation- while maintaining the highest standards of privacy, compliance, and ethical use.
Sequoia follows leading global standards for responsible AI. Our work is guided by the following principles:
Clients are informed about where and how AI is applied during project delivery.
Client data is always protected and never shared with unsafe or unapproved AI systems.
AI outputs are monitored for potential bias and used only in ethical, non-discriminatory contexts.
AI-assisted outputs undergo strict validation to ensure accuracy and consistency.
AI assists, but decisions and deliverables are always reviewed and finalized by qualified engineers.
Sequoia takes full responsibility for all work generated with AI assistance.
Sequoia uses AI to enhance engineering processes- not to replace human judgment. AI helps improve speed, clarity, and quality across the development lifecycle.
Sequoia has established a structured governance model to ensure safe and responsible use of AI:
AI usage is reviewed and approved by the Sequoia AI Committee.
Only vetted, secure, enterprise-grade AI platforms are allowed.
All AI-assisted outputs require human verification.
AI usage is continuously monitored for risk, accuracy, and compliance.
Project teams follow a standardized approval process before adopting new AI tools.
This governance framework ensures consistent, ethical AI adoption across all client engagements.
Sequoia follows strict privacy and security measures when applying AI:
Client data is never shared with public or unapproved AI systems.
Data anonymization and masking are used whenever applicable.
All AI operations occur in secure, controlled environments.
Zero-retention policies ensure no data is stored unless approved by the client.
Compliance with HIPAA, GDPR, SOC2, ISO 27001 and relevant industry standards.
All data is encrypted in transit and at rest.
Protecting client confidentiality is central to how we implement AI.
Sequoia maintains full transparency in how AI supports engineering work. Clients are informed where AI is used, how AI contributes to efficiency and quality, and how outputs are reviewed and validated before delivery. All AI-related workflows are aligned with mutually agreed requirements and compliance expectations.
Sequoia implements robust risk mitigation techniques to ensure safe AI assistance. These include prompt-injection safeguards, controlled AI-access environments, monitoring for output quality, bias detection, and mandatory human validation. These measures ensure that AI strengthens project outcomes without introducing risk.
AI usage is tailored to each client's industry, compliance obligations, and operational requirements. Sequoia supports multiple deployment modes- including private AI models, restricted data pathways, and custom governance workflows- to align with client-specific security and regulatory expectations. Our flexible approach ensures seamless integration with your organization's processes.
Sequoia uses only secure, enterprise-grade tools that meet strict governance and compliance
requirements.
Approved platforms include:
OpenAI Enterprise
Microsoft Azure AI
AWS Bedrock
Private/on-premises AI environments
No public or consumer-grade AI tools are used in client projects.
Sequoia is committed to using AI responsibly, ethically, and transparently in all client engagements. Our approach ensures that AI enhances engineering excellence, improves delivery outcomes, and protects client trust at every step. Through strong governance, secure platforms, and a human-in-the-loop model, we deliver AI-assisted solutions that are safe, reliable, and aligned with your business and compliance requirements.