Insights
2026
Digital Workplace earns strategic weight only when it is managed as a portfolio of work products rather than a shelf of employee software. PMI defines a portfolio as programs, projects, and operations managed together to reach strategic objectives, with governance, prioritization, value measurement, roadmap work, and recurring review inside the same discipline. That standard shifts the conversation from software ownership to enterprise choices about which work deserves redesign, funding, review, reuse, or retirement.
Building the Digital Workplace Product Portfolio
2026
Enterprise AI Readiness Is a Workforce Strategy,
Not a Learning Initiative
Most organizations are still putting AI readiness in the wrong budget under the wrong owner. They purchase model access rights, establish tool policies, conduct training sessions, and measure completions. Such a process views AI as a problem of content. Yet facts suggest otherwise. Adoption of AI is possible only when a business translates use of models into altered work, designated skill requirements, new role definitions, manager responsibilities, and staffing considerations.
2026
Agentic AI is posing a more fundamental question to the enterprise than whether HR should use new technologies. The question now becomes how HR work should be designed given that execution will be distributed across human, agent, shared services, centers of excellence, and business partner capabilities. It’s not a technology question; it’s an operating question.
Future-State HR Operating Model Enabled by Agentic AI
2026
Workforce Transformation: The Next Enterprise Growth Function
The question of whether AI is important to the market, for the most part, is no longer a question. The more interesting question is how large organizations are adapting their work, their people, their management systems, and their business models fast enough to keep pace with the advancement of AI.
2026
AI is not only changing the way employees learn. It is also changing the way work is executed, the way decisions are governed, and the way enterprise competence is defined. This is why the next-generation enterprise doesn't need a more modern learning stack.
Capability at the Speed of Work
2026
AI-Enabled Learning Product Strategy
The most effective AI-based products for learning won’t succeed because they are able to produce more content more efficiently. They will succeed because they make the process of learning more effective. That means they will make more people start to learn, improve the identification of skill gaps, make the content more relevant, make the practice and assessment more effective, and improve retention of what has been learned over time.