AI Consultant & Generative AI Project Leader

Connecting Generative AI
Workflows to Trusted Business
Outcomes

I design and build end-to-end AI automation systems that don't just work in demos; they deliver measurable results inside real operations.

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AI Workflows Built
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Industries Automated
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Outcome-Focused

The person behind the workflows

A bit about who I am and how I approach building AI systems.

I'm Stephen Sheehan, an AI consultant focused on making generative AI actually useful for businesses. I bridge the gap between cutting-edge AI capabilities and the practical realities of operations, compliance, and trust.

My work sits at the intersection of strategy and execution: I don't just recommend AI adoption, I design and implement the workflows that make it happen; reliably and at scale.

Every system I build is designed to be understandable by the people who use it, not just the people who built it.

Enterprise AI StrategyAligning AI initiatives with real business goals and risk tolerance
Workflow ArchitectureDesigning automation pipelines that scale and stay maintainable
Agile & Scrum DeliveryRunning AI projects with the discipline of software delivery
Operations & Systems ThinkingCRM, data integration, and cross-platform process design

AI workflows I've built

A curated selection of automation and AI systems; anonymized where needed to protect proprietary context.

Generative AI01
Intelligent Document Processing Pipeline
Designed an end-to-end AI workflow that ingests unstructured business documents, extracts key entities and data points, and routes outputs into downstream CRM and reporting systems; eliminating manual data entry across operations.
LLM ExtractionCRM IntegrationSQLAgile Delivery
Reduced manual processing time by ~70% across the target workflow
AI Operations 02
Automated Data Annotation & QA Pipeline
Architected an AI-driven workflow that automates ~65% of the foundational setup for complex data annotation and red-teaming projects. The system dynamically generates task instructions, reviewer guidelines, rigorous evaluation criteria (evals), project-specific linters, and quality control (QC) specs; enabling high-velocity task deliveries while maintaining strict model safety and quality standards at scale.
Agent Co-pilots LLM Evals QA Automation Workflow Design
Standardized quality control and drastically accelerated project launch timelines.
Strategy03
Generative AI Adoption Framework
Developed an internal framework for evaluating, prioritizing, and deploying AI workflow candidates across a business unit; including risk assessment, ROI modeling, and change management guidance for non-technical stakeholders.
AI StrategyJiraStakeholder ManagementROI Modeling
Provided a repeatable playbook adopted across 3 business functions

What I work with

The technologies, platforms, and methodologies I use to design and deliver AI systems.

AI & Automation
  • Generative AI (LLMs)
  • Prompt Engineering
  • AI Workflow Design
  • Process Automation
Data & Integration
  • SQL
  • Data Integration Platforms
  • CRM Systems
  • Google Suite (Scripts)
Project Management
  • Jira
  • Agile & Scrum
  • Stakeholder Management
  • ROI & Business Cases
Office & Productivity
  • Microsoft Office Suite
  • Google Workspace
  • Custom Formulas & Scripts
  • Executive Reporting

Let's build something together

Open to consulting engagements, full-time roles, and conversations about where AI can make a real difference.