AI Solutions

Apply AI where it improves real work.

AI is useful when it is tied to a specific workflow, product experience, decision, or operational bottleneck. I help teams design and build practical AI systems that fit the way the business actually runs.

Where AI can help

Good AI work starts with a clear task, useful data, and a process that can tolerate automation responsibly.

AI-based products

Recommendation engines, smart defaults, personalization, in-product assistants, and decision support built into portals, platforms, or internal systems.

Custom AI tools

Focused tools for document processing, intake, extraction, classification, summarization, research, analysis, and support workflows.

Agentic processes

Agents that help run repeatable operations such as triage, routing, document review, follow-up, coding workflows, and handoffs.

Built around the workflow, not the demo.

AI systems need the same engineering discipline as any other production software: clear boundaries, reliable data handling, human review where needed, observability, and maintainable integration with the tools around them.

  • Document intake and extraction
  • Internal copilots and knowledge tools
  • AI-assisted workflow automation
  • Structured routing and classification
  • Product AI and decision support
  • Agentic coding and operations workflows

Start with the use case.

A short conversation can usually separate useful AI opportunities from expensive distractions.

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