What I take on
Production AI that costs too much. Data and systems that aren't ready for it. Or one expensive process still run by hand. Whichever it is, I measure before I build, decide honestly between full automation and keeping a human in the loop, and include the training, docs, and handoff that let your team run it without me.
Not sure where to start?
Schedule a CallIncluded in every engagement
- A measured baseline before any build
- Training and documentation for your team
- A defined handoff scoped to your readiness
AI Workflow Optimization
AI is already in production. Costs are climbing, performance is uneven, or one frontier model is doing every job. I audit the workflow, run evals task by task, and hand back a system that costs less and holds up better. You keep the eval suite.
AI & Automation Readiness
You want to automate, but data is scattered, systems don't talk, or AI shipped with no harness. You need clean accessible data, addressable systems, guardrails around anything stochastic, and a data path security can stand behind.
Operational Automation
An expensive process in back office, ops, or analyst work that people keep saying should be automated. I map it with the people who run it, measure what it costs today, and decide what should be fully automated, what needs a human in the loop, and what shouldn't be built at all. When we do build, it's with guardrails, and with a data path that can run at the edge when records can't leave your environment.