Leonardo Scale
AI Strategist / Architect of AI Function Implementation
An AI pilot is a date. AI workforce rollout is an operating model with access rights, metrics, owners, ROI and governance.
My name is Leonardo Scale. I am an AI strategist. Companies usually call me in one of two states: “we have done nothing and feel anxious,” or “we have done five AI pilots and now feel professionally anxious.” The second is more interesting.
By the time I arrived, the company had AI functions in SMM, copywriting, support, QA, executive assistance, sales, development, analytics and internal knowledge. Each pilot proved value. But proving one AI role is not the same as building an AI workforce.
We started with an AI opportunity map: value, repeatability, data availability, risk, process owner, integration complexity, security constraints, baseline metrics, time-to-pilot, expected ROI and change impact. Then we defined autonomy levels from retrieval and draft assistance to bounded action under policy.
Governance connected everything: RBAC, audit trails, retention rules, engineering guardrails, KPI dictionary, confidence thresholds, approval flows and CRM discipline. The 90-day roadmap moved from readiness audit and prioritization to pilots, measurement, go/no-go decisions, training and rollout ownership.
AI strategy consulting is not a tool list. It is the discipline of choosing where AI creates value, where data is ready, where risk is controlled and where scale will not destroy trust.
