
AI Assessment for IT Operations
Identified, scored, and prioritized AI use cases across IT operations, from CMDB accuracy to dependency mapping, and landed on one MVP candidate with a roadmap.
View case study ↗A sample across strategy, agentic systems, and production delivery in regulated, high-stakes environments. Client names are generalized.

Identified, scored, and prioritized AI use cases across IT operations, from CMDB accuracy to dependency mapping, and landed on one MVP candidate with a roadmap.
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Owned the governance workstream of a micro-segmentation program, connecting legacy networks with modern segmentation through a risk-based enforcement and routing model.
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Supported the rollout of an AI assistance solution with a structured requirements and evaluation logic, keeping governance and stakeholder clarity at the center.
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Designed and built an AI agent end to end: Azure Functions backend, real-time occupancy data, and Entra ID, delivered as a reusable Copilot Studio use case inside Teams.
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Scoped and designed a computer-vision solution to automate billing in a shipyard, from needs analysis to solution design in a pre-sales setting.
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