AI implementation for teams that need more than a demo.

I help product, operations, and technology teams identify practical LLM/RAG use cases, build evaluated pilots, and prepare AI workflows for secure, measurable deployment.

Move from AI curiosity to decision-quality pilots.

The focus is early implementation: workflow discovery, technical requirements, RAG/LLM pilot design, evaluation, governance, and pilot-to-production planning.

  • Internal knowledge assistants and document workflows
  • Requirements, Jira, research, and support automation
  • RAG over internal sources with quality and cost checks
  • Evaluation plans, rollout notes, and production-readiness reviews

Focused offers

Primary offer

AI Workflow Diagnostic

A 1-2 week engagement that maps the workflow, scores AI use cases, reviews source readiness, and produces a concrete pilot plan.

RAG / LLM Pilot Sprint

A focused prototype with corpus prep, prompt design, evals, source-grounded answers, and a production-gap report.

Evaluation & Readiness Review

A review of an existing AI demo for groundedness, failure modes, security, cost, latency, and rollout readiness.

Relevant project evidence

Tell me about the workflow.

Share enough context to decide whether a diagnostic, pilot sprint, or readiness review is the right next step.