Advisory · San Francisco
AI Deployment Consultant in San Francisco
For Bay Area teams with no shortage of model capability and a shortage of deployed workflows. The constraint is rarely the model — it is ownership, evaluation and the last mile into operations.
Selected Outcomes
6 → 2 weeks
Pilot-to-production
$2.1M
Cost avoidance on one mandate
8 weeks
Sprint length
Results are drawn from anonymised client engagements. Names are withheld under confidentiality.
Evaluation before expansion
Teams ship capability faster than they can measure it. The first two weeks of any engagement build the evaluation harness: what good looks like, who adjudicates, and what threshold releases the workflow to production.
Operator, not observer
Work happens inside your tooling and rituals — standups, incident reviews, release gates — so the deployment habit survives after the engagement ends.
Fit
Best fit is a company with product-market fit, an AI-native ambition, and a leadership team willing to name one workflow as the beachhead.
Questions
Working with me in San Francisco
Do you write code?
The engagement is hands-on but not a staffing substitute: architecture, evaluation design, prompts and workflow specification, with your engineers building.
How quickly can we start?
A limited number of sprints run each quarter. The first step is a 30-minute outcome brief to confirm the beachhead workflow.
Enquire — San Francisco
Tell me the workflow you want in production. If the fit is right, we start with a 30-minute outcome brief.