Nice to meet you
Hello, I'm Alex
AI Delivery Manager
Google Project Management · AWS & Azure Certified · Industrial & Financial Sectors
Applying AI to Workflow Design & Decision Support
I translate ambiguous business needs into operational AI tools that stick.
I design AI-enabled workflows that turn messy, ambiguous problems into structured, repeatable processes. Many teams experiment with AI but struggle to turn it into workflows that teams actually use. My work is practical — built and tested in live environments, not just theorised.
I'm looking to work with delivery teams and ops-focused organisations that are moving from AI curiosity to practical implementation. Connect with me on LinkedIn
My Profile
Role:
Applied AI & Workflow Implementation (AI Delivery Manager)
Experience:
Delivered in regulated industrial and financial environments, working across technical and operational teams to structure delivery, align stakeholders, and maintain execution under constraint and ambiguity
Recent work focuses on applying AI and LLM-based workflows to practical problems, including decision support, case evaluation, and rapid prototyping in live contexts
Strengths (Delivery Focus):
Turn ambiguous problems into structured, executable workflows
Maintain delivery control under pressure across stakeholders
Drive adoption of tools and workflows in live operations
Apply AI to improve decision-making and operational consistency
Build practical systems (Python/Django) to support workflow visibility
Decision Approach:
Utility over novelty: prioritise what works in practice
Clarity over complexity: structure before scaling
Execution over theory: deliver in live contexts, not just prototypes
Core Capabilities
AI Use Case & Workflow Design:
Translating business challenges into structured, testable AI-enabled workflows aligned to operational impact
Operational Adoption & Workflow Embedding:
Solutions embedded into day-to-day operations — not left as prototypes
Stakeholder Alignment & Delivery Execution:
Maintaining delivery momentum across technical and operational teams
AI Prototyping & Implementation:
Rapid validation and deployment of AI workflows in real use cases
Technical Foundation
Python, Django, REST APIs, JavaScript, AWS/Azure fundamentals
AI for Operational Decision Support
I use structured prompting and workflow design to turn LLMs into practical tools for real-world problem solving and delivery support
AI Delivery Decisions: What to Use When
➠ Agentic Workflows vs Linear Automation vs Human-in-the-Loop
How to balance autonomy, control, and reliability when designing AI-enabled workflows
➠ RAG vs Fine-Tuning
Choosing between retrieval-based systems and model adaptation for real-world use cases
See My Work
Examples include:
Structured decision-support prompt frameworks using LLMs including 5 Whys, Red Team Brief, First Principlescls