Services / SVC-03
AI & Automation
We were building conversational AI before it was fashionable: our principal led the AI engineering team at a digital-assistant startup from early days through acquisition, and built one of the industry's early objective measures of chatbot quality. We bring that discipline — measurement, grounding, guardrails — to AI adoption that has to actually work.
What we do
Conversational AI & digital assistants
Design and delivery of assistants that answer from your knowledge, hand off gracefully, and improve measurably over time.
Retrieval-grounded systems
RAG architectures where a curated knowledge source drives the assistant — so it answers from facts you control and declines what it doesn't know, instead of inventing.
Workflow automation
AI-assisted automation of the repetitive middle of your operations — document handling, triage, drafting — with humans kept on the decisions that matter.
Model evaluation & quality
Objective quality measurement for AI systems: test sets, scoring, and regression discipline, so 'the bot got better' is a number, not a feeling.
Governed AI for regulated environments
AI adoption inside quality systems — usage policies, validation approaches, and audit trails that let regulated organizations say yes to AI defensibly.
Build vs. buy advisory
Honest assessment of when to use a vendor, when to build, and when to wait — from people with no software to sell you.
Proof, not promises
Case study: A grounded AI assistant →