Process taxonomy
Separate transactional work, orchestration, and judgment so AI is applied with the right expectations and controls.
Menu
About Victor “Vic” Akosile
The work needs a leader who can translate, build, and operationalize.
Vic helps nontechnical leaders turn AI ambition into governed products, adoption, and measurable operating change—drawing on enterprise transformation leadership, university teaching, and hands-on building.
$5.7MTracked value across an enterprise People AI portfolio
6×Adoption level, from 15% to 90%
50+ productsShipped within the People AI portfolio
Selected figures from Vic’s professional experience record; not independently audited for this site. See context and limitations →
The point of view
Agents are process infrastructure—not digital employees.
Organizations need leaders who can connect real work to responsible technology decisions: understand users, redesign workflows, direct an AI-assisted build, and communicate credibly with technical partners.
Vic is an AI transformation and people strategy executive who built an eight-person People AI function, shaped a $2.4 million transformation roadmap, and led a portfolio of more than 50 products and 12+ live agents. His professional record reports adoption increasing from 15% to 90% and an operating model spanning 89 workflows across 20 People functions.
He has taught human capital management at Columbia University, guest lectured at Wharton, developed AI learning through 30+ university partners, and advised leaders across technology, healthcare, financial services, the public sector, and other complex enterprises.
Built Into Work turns that operating experience into a practical path: see the work clearly, build enough to develop judgment, and create the conditions for responsible adoption.
Read Vic’s writing on LinkedIn ↗Frameworks built in practice
A way to choose the work, build the capability, and measure what changes.
Four levels of enablement
Move from content to community, consortium, and champions so learning becomes organizational capability.
AI maturity and ROI
Connect technical progress to adoption, operating change, risk, and measurable value—not demo activity.
Three commitments
The standards behind the work.
Begin with work
Start with customers, decisions, workflows, and evidence—not whichever model or tool was announced last week.
Build to learn
Leaders need enough firsthand experience to recognize what is possible, what is fragile, and what responsible operation requires.
Keep accountability human
Agents can execute roles and handoffs. People still own the decision, the consequence, and the conditions under which the system operates.
Bring a new perspective to the conversation.
Invite Vic to speak, explore executive advisory, or read the professional experience behind the ideas.