Media & analyst briefing
Research and perspective for the enterprise AI conversation.
Smart Workforce AI publishes bylined analysis on AI delivery, operating models, governance, workforce capability, and the practical decisions that sit between strategy and implementation.
About the work
A practitioner-informed point of view.
Smart Workforce AI focuses on the work of making enterprise AI useful: establishing direction, designing the operating model, creating defensible delivery artifacts, and bringing the right specialist capability into the room at the right time.
Our published research is written for editors, producers, conference teams, clients, and professionals looking for a grounded perspective on AI-driven business transformation. We welcome requests that relate to the published themes below.
Published research
Recent bylined work.
The 72-Hour AI Client Ramp-Up
Devendra Kumar on establishing a credible delivery path in a new client situation.
July 2026From AI Tools to Operating Models
Victoria Sheverda on ownership, evaluation, and governance after the pilot.
July 2026The Fractional AI Workforce
Devendra Kumar on experienced specialist capability and accountable client delivery.
Research leads
The voices behind the work.
Devendra Kumar
Co-Founder & Principal Analyst
Leads work on AI delivery systems, client ramp-up, and workforce transformation, with a focus on clear decisions, credible artifacts, and practical delivery paths.
Victoria Sheverda
Co-Founder & Research Director
Leads research on AI governance, enterprise operating models, and the accountability structures that make new technology usable in consequential work.
Topics
Areas of perspective.
Editorial approach
Named authors. Published dates. Clear sourcing.
Our research describes its basis, distinguishes observation from recommendation, and is not influenced by vendor placement fees. For analyst and media relations, contact analysts@smartworkforce.ai.