The Lanai Edge / Free role templateJob description
A job description for the executive accountable for making AI investments improve how a company works.
Turn individual AI productivity into measurable company performance.
Own the enterprise AI operating system: where to invest, which workflows to redesign, how to enable teams, and how to prove whether changes improved business outcomes.
Success is not more seats, prompts or tokens. It is greater operating leverage.
01
Create a cross-vendor view of AI tools, agents, licenses, usage and costs. Identify duplicate spend, underused capabilities and expensive workflow choices. Partner with Finance on the budget, renewal decisions, unit economics and investment priorities.
02
Identify successful AI practices and power users. Establish training, champions, approved workflows and human review standards. Move teams from isolated experiments to repeatable work.
03
Map where employees and agents perform work in Engineering, GTM, Finance, Support and other teams. Prioritize high-value bottlenecks and standardize proven practices into reusable skills, agents and automations.
04
Baseline adoption, modeled AI effort, workflow cost, quality and throughput. Measure before and after interventions: revenue per employee, engineering cycle time, close time, ticket resolution or cost per completed task. Report decisions and results quarterly.
An operator who has led cross-functional change, understands unit economics, can influence the CFO and engineering leadership, and knows how to distinguish AI activity from measured business results.
Strong technical fluency is useful; business judgment and execution are essential.
Govern AI carefully and keep humans accountable for approvals and high-stakes decisions.
AI Work Hours and other modeled activity measures are signals about work performed, not verified hours saved or realized ROI.