Corporate data governance
I understand the importance of clear data ownership, appropriate access, consistent definitions and reliable information in a corporate environment. Governance provides the accountability around how data is collected, shared and used.
My experience with Azure, AWS, Identity Management and connected business systems informs that perspective. In customer success, it means considering who should see customer and financial information, how it moves between platforms and who is responsible for its quality.
I see governance as a shared responsibility: customer success needs to work within the organisation’s policies and involve data owners, security, privacy and technical teams in decisions that affect customer information.
Artificial intelligence in the corporate environment
My hands-on application development with ChatGPT/Codex, Zed, LM Studio and Antigravity gives me a practical perspective on AI. In a corporate setting, I consider that technology alongside business purpose, information sensitivity and operational accountability.
The questions extend beyond what a tool can produce: which tools are approved, what data they may use, how outputs are reviewed and who remains responsible for a decision. Human review, appropriate access and clear boundaries matter when AI supports customer-facing work.
For customer success, my focus is on purposeful use: evaluating where AI can assist preparation, analysis or routine work, while protecting confidential information and maintaining the quality of customer communication.