Policy on the use of
Artificial Intelligence
CORE PRINCIPLES
Our Six Pillars of Responsible AI
Fairness
Transparency
Accountability
Privacy & Security
Human-Centered Design
Sustainability
GOVERNANCE
AI Governance Framework
Our governance model aligns with ISO/IEC 42001:2024 standards and incorporates best practices from the
NIST AI Risk Management Framework. We maintain a structured, auditable process for every AI engagement.
AI Ethics Committee
A cross-functional committee that reviews all AI initiatives above a defined risk threshold. Includes representation from legal, compliance, engineering, and business functions.
Impact Assessments
Mandatory algorithmic impact assessments conducted before any AI system enters development. Assessments evaluate fairness, privacy, security, and societal implications.
Continuous Monitoring
All deployed AI systems undergo ongoing monitoring for drift, bias emergence, and performance degradation. Automated alerting triggers human review when thresholds are exceeded.
Third-Party Audits
Annual independent audits of our AI systems and governance processes. Audit findings are reviewed by the AI Ethics Committee and addressed with defined remediation timelines.
Acceptable Use of AI
Acceptable Use of AI
Developing customized AI solutions for enterprise clients within regulated industries, following our full Discovery–Prioritization–Implementation–Management methodology with governance embedded at each stage.
Internal Productivity
Leveraging AI tools to enhance internal engineering, analysis, and communication workflows, with appropriate human review and oversight.
Research and Innovation
Conducting responsible AI research, contributing to open-source communities, and publishing findings that advance the field of enterprise AI.
Training and Education
Using AI to create educational content, training materials, and enablement resources for clients and internal teams.
Prohibited Use of AI
Discriminatory Profiling
Using AI to profile individuals or groups based on race, ethnicity, religion, gender, sexual orientation, age, disability status, or other protected characteristics for discriminatory purposes.
Mass Surveillance
Deceptive Manipulation
Autonomous Weapons
Contributing to the development of AI systems designed for autonomous lethal force, weapons targeting, or military applications not subject to meaningful human control.
Unlicensed Data Exploitation
High-Risk Without Safeguards
Built on Transparency and Accountability
Documented Processes
Every AI engagement produces auditable documentation including model cards, data lineage records, and impact assessments.
Stakeholder Engagement
We engage clients, end-users, and subject matter experts throughout the AI lifecycle to ensure diverse perspectives shape our solutions.
Remediation Protocols
Established procedures for addressing identified issues, including model rollback, bias correction,and incident response within defined SLA timeframes.
Continuous Learning
Our AI Ethics Committee, engineering teams, and leadership participate in ongoing education on emerging AI ethics standards, regulations, and best practices.
