Over the past six months, executives at leading technology firms have observed significant shifts in how artificial intelligence (AI) is integrated into business operations and strategic planning. These insights, shared by members of an industry intelligence council, highlight evolving approaches to AI deployment, risk management, and innovation across sectors.

At Sage, executive vice president Gretchen O’Hara emphasized that effective AI applications are those tailored to fit existing business workflows rather than requiring companies to overhaul their structures. She noted that Sage is advancing its own AI capabilities while collaborating with partners through its Sage AI Developer Solutions. This approach aims to accelerate the introduction of industry-specific AI tools that align closely with customer processes.

Meanwhile, Paul Carr, chief executive officer of Welo Global, pointed to rapid progress in agentic AI capabilities—systems operating with increasing autonomy. Carr observed that although human oversight remains standard practice, the expansion of fully autonomous workflows necessitates a reevaluation of governance and risk frameworks. Firms must prepare for scenarios where AI-driven processes function without direct human input, raising new challenges for enterprise-level management and oversight.

John Larson, president and chief AI officer at Babel Street, highlighted a growing security concern linked to AI-generated synthetic identities. These fabricated identities have become the fastest-growing form of fraud worldwide, capable of bypassing standard onboarding, financial controls, and trust-based workflows. Larson stressed that combating this threat requires continuous identity verification that goes beyond traditional database checks, positioning AI both as a source of risk and a tool for defense in cybersecurity strategies.

Josh Epstein, president and chief business officer of software company Coder, shared that internal AI development is yielding tangible returns on investment. Over recent quarters, Coder replaced millions of dollars’ worth of external software by building proprietary AI solutions. Epstein said this success has led to a more dynamic, prototype-driven product development cycle, with an emphasis on practical outcomes rather than opinions. He cautioned, however, that while AI can perform tasks, it cannot replace human judgment and critical thinking.

Together, these perspectives reflect a broad consensus that AI’s value lies in its integration with real-world business needs, careful oversight as autonomy increases, and vigilant management of risks associated with new types of fraud. At the same time, these leaders recognize the necessity of balancing technological innovation with human insight to maximize AI’s potential in enterprise settings.