“A prototype works, but nobody trusts it in production.”
AI SYSTEMS
AI that belongs in the operation.
AI creates value when it can safely act inside a real operation. I build the surrounding system: context, retrieval, tools, permissions, human review, evaluation, interfaces, and the infrastructure that keeps it observable.WHEN TO CALL
The pressure usually sounds like this.
“Knowledge is fragmented across systems and people.”
“A repetitive operation needs judgment—not just automation.”
WHAT THIS WORK ENABLES
Turn a promising prototype into a production workflow
Connect models to internal knowledge and live systems
Automate repeatable work while preserving human judgment
CAPABILITIES
LLM and multimodal model integrationAgentic workflows and tool useRAG, search, context, and memoryPrompt and workflow engineeringEvaluation, observability, and guardrailsHuman-in-the-loop operator experiencesAI-enabled product featuresData and API integration
RELEVANT PROOF
Experience behind the capability.
AI-assisted call-quality operations
Architecture spanning recording ingestion, transcription, campaign-specific evaluation, evidence, human review, and auditability.
Models are one component
The value comes from the context, permissions, integrations, evaluation, and operator experience built around them.
BRING THE HARD PROBLEM
Put that project back on the roadmap.
Tell me what needs to work, where you’re stuck, and what the system has to fit.
Talk to Mitch