... approach standardizes AI assurance, reduces variability and enables earlier issue identification, supporting responsible AI adoption and risk management. Audit AI FAQs What is audit AI? Audit AI refers to the processes, frameworks and assurance activities used by internal audit to evaluate AI-related risks, ...
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... Software engineering is the first major domain of knowledge work to experience AI-enabled cognitive offloading at scale. Software engineering leaders must prevent agentic AI adoption from eroding the skills required to build, understand, evaluate and evolve complex software. Insights at a Glance Strategic ...
... Access Insights Already a Gartner client? This journey guide supports D&A leaders with the implementation program for the transition from an AI-cautious to an AI-opportunistic enterprise, at a speed that suits the organization’s readiness, risk appetite, and cultural readiness. Strategic Planning Assumptions ...
Analyst(s): Alan D. Duncan | Soyeb Barot | Nate Novosel
... AI is a forcing function for product marketing transformation, requiring a significant focus on change management. Leaders must proactively manage changes to structure, roles, skills, and culture to ensure successful AI adoption, show value from implementation, and optimize team performance. Insights ...
... AI adoption in high-criticality markets stalls on liability, not accuracy. Vendors win contracts by shifting from manual review to a three-layer accountability stack: AI output, deterministic evaluation, and human risk ownership. This architecture scales trust, reduces risk, and accelerates deployments ...
... year for organizations as they incorporate AI and agents into their work. Software engineers must adopt techniques and approaches that originated in risk-tolerant startups and adapt them for use in risk-averse enterprise environments. Overview Software and AI Engineering Trends Setting Priorities Gartner ...
Analyst(s): Paige Kirk | Danny Brian | Peter Hyde | Roy Triesscheijn | Erin Khoo | Sushant Singhal | Bill Holz | Johnny Walters | Matt Brasier
... As AI agents increasingly act and communicate autonomously, heads of I&O need a governance framework for communication accountability, oversight and auditability. Without one, organizations may struggle to investigate incidents, respond to compliance challenges and defend AI-agent communications. Insights ...
... Treating AI solely as a technology investment — without identifying, measuring, and mitigating the new talent risks it introduces — will stall adoption and jeopardize strategic outcomes. CHROs can use this presentation template to facilitate a productive board conversation about risk AI management and ...
... client? Overlapping AI governance responsibilities between D&A leaders responsible for AI and CISOs create friction and delay deployments. Treating AI risk only as a cybersecurity issue reinforces this misalignment. These leaders must anticipate future threats and own enterprise AI direction, while CISOs ...