Every major technology wave I have lived through followed the same arc: a period of noise and speculation, then a moment when the underlying capability became undeniable, and finally the hard work of making it real inside organizations that were not designed for it. I have watched that arc repeat across enterprise integration, the web, virtualization, cloud, and mobile — and I recognize exactly where we are now with AI. The signal is real. The gap between what the technology can do and what most organizations are prepared to absorb is enormous. That gap is where I work.
Since 2023 I have been positioning at that threshold — not as an evangelist, but as the person who helps leadership teams translate ambition into architecture and adoption into something durable. The questions I am helping organizations answer are not about the models themselves. They are about governance, trust, workflow redesign, and how you bring people with you when the ground is shifting. I have been here before. The context is new. The discipline is the same.
2023-09 — Present
Acting as a senior architect and strategic enablement lead for artificial intelligence, with primary responsibility for structuring the adoption of generative AI across the organization, within a highly regulated institutional and financial context.
- Design and delivery of generative AI training programs for non-technical, technical, and expert audiences
- Facilitation of hands-on workshops focused on effective prompt formulation applied to real business use cases
- Authoring of internal documentation governing responsible AI usage
- Creation and maintenance of a structured prompt library to standardize usage and reduce operational risk
- Direct support to development teams in integrating AI-assisted development into existing software development lifecycles
- Continuous technology monitoring of AI platforms with a focus on maturity and applicability to the financial sector
- Design and execution of proof-of-concept initiatives demonstrating measurable business value
- Definition of metrics to assess AI adoption impact and continuous improvement of practices
Agile / ScrumAnthropic ClaudeAzure OpenAIClaude CodeGitHub CopilotMicrosoft Copilot for M365OpenAI (ChatGPT-4o to 5.3-Codex)DALL-EDevOpsGoogle GeminiMarkdownMicrosoft 365PowerShellSharePoint Online