WorkThe story, in brief

7 projects top of mind for IT leaders today

CIOs are remaking IT itself — abandoning 40 years of enterprise playbooks to ship hundreds of small agents and apps instead of a handful of big systems.

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People, judgement and the changing nature of work.AI illustration by KeyNews
The KeyNews take

Why it matters

AI adoption has moved from pilot to operational priority across enterprises, forcing IT leaders to rebuild processes, governance, and team structures around agentic work. This is no longer about bolting AI onto legacy systems — it's about transforming how IT operates and how workers interact with autonomous systems.

The key facts

16 to know
  1. 39% of CIOs cite 'accelerating AI-driven innovation' as top business initiative (CIO.com 2026 State of the CIO Study)

  2. 63% of CIOs list 'improving processes' as goal when operationalizing AI (Gartner research)

  3. AI adoption barriers: employees lack incentive, fear AI, require training and change management

  4. Conneen (Finance of America) building dedicated IT platform for agent deployments to avoid fragmented AI services

  5. Dewey's 45-day sprint stood up new infrastructure for 'small agents and apps' — portfolio shift from 'large, expensive slow-moving' to 'small, cheap fast-moving'

  6. DaVita deploying ambient listening agents, risk-identification models, and AI-augmented EMR; implemented Glean enterprise search platform

  7. BILL prioritizing 'AI-native' culture with dashboards measuring employee AI tool usage and skill progression

  8. Schneider Electric focusing on data transformation and rethinking IT career paths to attract talent for agentic era

  9. 39% of CIOs cite accelerating AI-driven innovation as top business initiative (CIO.com 2026 State of the CIO Study)

  10. 63% of CIOs list improving processes as goal when operationalizing AI (Gartner)

  11. DaVita deploying ambient listening and risk-identification agents in clinical workflows

  12. Finance of America CIO building dedicated IT platform for agent deployments to ensure alignment and prevent fragmented AI services

  13. BILL measuring not just whether employees use AI tools, but HOW they use them—shift from adoption metrics to skill metrics

  14. Boston-area CIO redesigning IT department to handle 'hundreds of small things' (agents/apps) rather than 'large, expensive slow-moving' legacy systems; 45-day sprint proof-of-concept with Claude prototypes

  15. AI adoption faces change-management resistance; CIOs using dashboards, training, and champion groups to drive uptake

  16. Esri using AI in contract review (standard vs. heavy-touch human review) and sales account orchestration

Go to the source

CIOcio.com

Publisher excerpt: As CIO of DaVita, Madhu Narasimhan drives IT priorities that align with the business mission. For the healthcare company, that means providing kidney dialysis and other services for patients with chronic kidney failure and renal disease. “We’re being super intentional on how we bring in technology.…
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