... External auditors are increasing their assessments on how AI has been applied in the preparation of financial statements. CFOs should get ahead of this by demonstrating oversight of AI-managed controls, guardrails for automated decision making, and the maintenance of accuracy and explainability. Insights ...
Analyst(s): Renata Viana | David Condon
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... Access Insights Already a Gartner client? Third-party LLMs and AI agents intercept customer interactions, disrupting traditional data-driven strategies and risking a “data drought.” Support leaders must develop the infrastructure, trust frameworks and incentives necessary to engage with customers through ...
... Divisional CIOs, Technology Infrastructure Research Board, Data and Analytics Research Board, and Strategic Sourcing Research Board members on the impact of AI provider’s executives’ profile on supplier sourcing and that of government policies on organizational complexity. Overview Summary of Results Survey ...
... depend on is ready. Enterprise application leaders must harden execution, governance, and accountability across CRM automation before scaling agentic AI. Insights at a Glance Analysis Gartner Recommended Reading Gartner Insights Abstract ...
Analyst(s): Mike Levisay | Adam Briggs | Arthur Villa | Ilona Hansen
... AR’s relationship with sales is underdeveloped, limiting its ability to track true business value. By utilizing agentic AI to deliver insights directly into sales workflows, AR can transform this critical partnership and accurately track the outcome-based metrics that matter most, such as impact on revenue ...
... Access Insights Already a Gartner client? Marketing spend on demand generation targeting existing customers can be a money pit. AI-powered listening offers a goldmine of insights that increases targeting efficiency to lift conversion rates for customer cross-sell or upsell opportunities. Insights at ...
... Bank CIOs cannot scale AI on top of unmanaged data estates. Scaling requires governed, reusable data products that are consumable by both humans and machines. Sustaining data products requires CIOs to translate spend into P&L language to protect funding and earn ongoing support to scale. Insights at ...
... Despite the mandate to move quickly to realize AI value, I&O is struggling to meet ROI expectations. By comparing the feasibility of AI use cases against the deployment stages of the enabling technology, heads of I&O can determine which AI use cases are the best candidates to prioritize scaling. Insights ...
... management AI initiatives fail due to weak foundational capabilities, not poor use case selection. To scale successfully, supply chain leaders must execute four steps — assess maturity, codify decision intelligence, establish AI-ready data, and orchestrate cross-system integration — before expanding AI. Insights ...