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A recent Deloitte survey of CFOs and IT leaders indicates growing optimism about AI’s potential to improve productivity and drive business growth, particularly in finance and operations. At the same time, the survey reflects rising awareness that governance, policy, and risk management must evolve alongside the increased adoption of AI.

Source: Artificial Intelligence News (Deloitte survey)

What to know:

• CFOs and IT leaders report increased confidence in AI’s ability to enhance productivity and operational efficiency.
• Finance, operations, and core business functions are seen as primary beneficiaries of AI-enabled automation and decision support.
• Leaders acknowledge that AI adoption is accelerating faster than formal governance frameworks in many organizations.
• CIOs are increasingly tasked with balancing efficiency gains against emerging risks related to control, oversight, and compliance.
• Governance and policy discussions are becoming central as AI moves from experimentation to scaled enterprise use.

Why it matters:
As organizations pursue AI-driven productivity gains, the Deloitte survey highlights a parallel rise in governance expectations. Without clear policies, oversight, and risk controls, productivity improvements can introduce operational and compliance challenges, making structured AI governance and monitoring critical as adoption scales.

Google has announced that Gmail is entering the “Gemini era,” embedding generative AI features such as AI Overviews of email threads, Help me write, suggested replies, and proofreading directly into the inbox. The update is designed to reduce email overload and improve productivity by enabling proactive summarization and AI-assisted content creation within everyday communication workflows.

Source: Google (The Keyword)

What to know:

• Gemini now automatically processes entire email threads to generate AI Overviews that summarise conversations and highlight key points for users.
• Writing assistance features, such as Help me write and suggested replies, influence outbound emails by generating or refining content directly within Gmail.
• Because Gemini is embedded into a core productivity tool, AI usage can scale rapidly across teams without explicit opt-in or awareness.
• AI Overviews are labelled as potentially inaccurate, acknowledging the risk of missing context or generating incorrect interpretations.
• Uniform availability of these features may conflict with internal data-handling policies, especially for teams managing sensitive or regulated information.

Why it matters:
As generative AI becomes embedded into core productivity tools like email, organizations face increased risk around data exposure, decision accuracy, and policy enforcement. Without clear governance, visibility, and monitoring, AI-driven productivity gains can quickly introduce compliance gaps and security blind spots, making GenAI observability and risk controls essential for responsible enterprise adoption.