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This report explores how organizations are harnessing AI to accelerate efficiency and innovation while contending with the very real challenges of data security, privacy, and governance. Drawing on fresh survey findings, it outlines a pragmatic path to capture AI’s upside without eroding trust.
  • Adoption & impact: AI use is rapidly expanding across functions, with most organizations reporting meaningful operational gains and strong momentum toward product and process innovation.
  • Risk & readiness: Data exposure leads the risk list, elevating the need for cross‑functional governance, layered security controls, and routine AI risk/privacy assessments.

AI Adoption is broad, and it's already delivering

93.8% of organizations are using or will deploy AI within six months, and 83.8% already report moderate to significant operational gains. Efficiency leads the realized benefits, with innovation and better decisioin-making close behind as AI moves from pilots to multi-project rollouts. This section spotlights where value is materializing fastest and how leaders convert early wins into durable outcomes.

How has AI impacted your business operations so far? Negative Impact: 8.2% No signifiant impact: 12.9% Moderately improved: 38.7% significantly improved: 40.2%

Build guardrails before you scale

As usage expands, respondents named data exposure the top risk and flagged privacy, legacy integration, and skills gaps as major blockers. We outline a pragmatic governance model: risk‑based data controls, explicit consent and usage policies, and routine privacy/AI impact assessments, that protects sensitive data without slowing teams. You’ll see how cross‑functional ownership and layered controls reduce risk while keeping AI programs on track.

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