Case-study patterns

Selected AI integration work.

These examples are written as patterns because the best AI work is specific to the business context: goal, data, people, tools, and the quality bar needed for production use.

Revenue Operations Team

From scattered requests to an AI-assisted intake and reporting system

Reduced manual handoffs and made leadership reporting repeatable.

Designed the workflow, connected operational data, and shipped a pragmatic assistant that produces reviewable summaries instead of loose chat output.

Founder-Led Services Company

AI automation roadmap for growth without adding headcount

Created a prioritized backlog tied to revenue impact and operational risk.

Audited repeated work, data readiness, customer touchpoints, and internal bottlenecks to identify where automation could actually move the business.

Software Product Team

Production path for agent tools inside an existing app

Moved AI functionality from prototype to maintainable product surface.

Built integration boundaries, structured prompts and tools, failure handling, and observability around real user workflows.

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