Agentic AI demands organizational redesign, not just layering
A growing gap is becoming evident between aspirations and practical implementation as companies integrate AI agents. According to a Celonis report, while 85% of businesses plan to adopt agentic practices within the next three years, 76% report that their current infrastructure is inadequate for this transition. Prasun Shah, the global CTO at PwC UK Consulting, cautions against simply adding AI agents to existing frameworks, deeming it ineffective. Ema, in collaboration with HFS Research, has proposed agentic business transformation (ABT), which is built on three foundational elements: technology stack, workforce, and success metrics. McKinsey forecasts that by 2030, 75% of jobs will need redesign or upskilling. Ema CEO Surojit Chatterjee highlights a significant customer who achieved a threefold ROI from agentic AI by shifting to outcome-based metrics. Leaders can bridge this divide by reevaluating their operational models and workflows.
Key facts
- 85% of organizations want to be agentic within three years.
- 76% say their current operations and infrastructure cannot support agentic AI.
- Prasun Shah is global CTO for workforce consulting and chief AI officer at PwC UK Consulting.
- Ema coined the term agentic business transformation (ABT) with HFS Research.
- ABT has three pillars: technology stack, workforce, and success metrics.
- McKinsey predicts 75% of jobs will need redesign by 2030.
- One Ema customer tripled ROI from agentic AI by switching to outcome-based metrics.
- The content was produced by Insights, the custom content arm of MIT Technology Review.
Entities
Institutions
- PwC UK Consulting
- Ema
- HFS Research
- McKinsey
- MIT Technology Review
- Celonis