MIT Technology Review examines redesigning organizations for agentic AI

MIT Technology Review examines redesigning organizations for agentic AI

MIT Technology Review published this sponsored Insights article on May 26, 2026. It argues that organizations risk falling short of their ambitions for AI agents when they add them to human-designed operations instead of redesigning how work is organized. Prasun Shah of PwC UK Consulting compares this to “adding sticky tapes to parts of an operating model that is breaking.” Ema calls a broader redesign agentic business transformation (ABT): changing an organization’s technology stack, workforce, and measures of success. The article’s central idea is that AI agents may create value by coordinating work across applications, not merely by acting as another tool in existing processes. That would require reconsidering workflows and who makes decisions. In mixed human-and-agent teams, Shah says managers will face questions of trust, explainability, psychological safety, and status. The article also argues that measuring activity, such as interactions handled, can obscure whether customers benefit; it describes one Ema customer whose measured return on investment tripled after changing its metrics. It closes by urging leaders to begin internal discussion of systems-level change, while acknowledging that these questions are complex and still being worked through. How accountability should work when an AI agent makes a mistake, or when people and agents disagree, remains unresolved.

Publication: 4d39e9b6-8956-2283-70b2-8f07a7b04f72

attribution — uncertain: Shah and Chatterjee are quoted accurately, and the reading notes this is sponsored Insights content. It never says the sponsor is Ema, yet Ema is the source of the ABT framework and the ROI anecdote. The title also credits MIT Technology Review as the examiner, which can read as editorial work. Smallest repair: state that the piece was produced in partnership with Ema, the enterprise agentic AI platform quoted in it, and attribute the title to the sponsored article.

In partnership withEma

summary — uncertain: The argument, the three ABT pillars, the shift from output to outcome metrics, the manager concerns and the closing call are faithful. However, Ema appears without identification. A general reader cannot tell that it is the vendor that coined ABT and sponsors the piece, and that context matters for weighing its framework and customer anecdote. Smallest repair: describe Ema as the enterprise agentic AI platform that coined the term with HFS Research and sponsored the article. The question follows from Shah's own list.

Enterprise agentic AI platform Ema describes this change as agentic business transformation (ABT), a term it coined last year in partnership with HFS Research

date — pass: May 26, 2026 matches the UTC calendar day of originalPublished (2026-05-26T14:54:10Z). The modification about 23 minutes later is not flagged as a substantive edit, and the claims rely on the main article body. The later Deep Dive sidebar items are not used. McKinsey's 2030 projection is not presented as an outcome. This is a publisher page, so no archive disclosure is needed.

support — pass: Each claim matches its excerpt. The ROI tripling is reported as one Ema customer's measured result, not as a general effect. The accountability question and the acknowledgement of unresolved complexity are source-stated. The limitations correctly say that projected benefits are not established.

These are complex lines of inquiry that experts continue to grapple with.

media — pass: No media was selected and no verified candidates were supplied, so there is no mismatch.