AI product management · Industry brief

A Gartner survey of 750 C-level executives (June 2026) reveals that AI adoption is shifting from experimentation to enterprise execution, with 40% of organizations having embedded AI into select business processes and 38% actively piloting initiatives. However, scaling remains constrained by three primary barriers: AI governance and risk management, data quality and integration, and workforce readiness. Executives report growing confidence in managing security and compliance risks (concerns declined from 79% in 2024 to 22% in 2026), with attention now shifting toward demonstrating ROI and business value. Additionally, 44% of executives are exploring agentic AI capabilities, signaling preparation for the next adoption phase, while organizations report AI is reshaping work through process automation and role transformation rather than substantial workforce reduction.

More than 90% of enterprises are adopting AI agent solutions, but fewer than 25% have reached production deployment, with governance, data integration and system fragmentation identified as key barriers. The market reached US$ 6.65 billion in 2025 and is projected to grow at 36.9% CAGR to US$ 142.35 billion by 2035, driven by adoption across IT operations, customer service, and finance. Governance and security have become critical adoption differentiators, with enterprises prioritizing controlled deployments and compliance frameworks as AI agents gain autonomy in business-critical processes. Recent developments show major platform vendors including Microsoft, Amazon, Google Cloud, Salesforce and ServiceNow expanding enterprise AI agent capabilities through partnerships and integrated solutions, while governance-focused initiatives like DXC Technology's Zero Trust platform for AI agent access control and Leah's agentic workflows with built-in compliance controls reflect the market's focus on regulated enterprise deployment. Industry sources cited include DataM Intelligence market analysis, with specific partnership announcements from Oracle, PwC, Google Cloud, Accenture, and Adobe spanning June through August 2026.

Pegasystems launched Customer Engagement Studio on August 18, 2026, embedding AI governance directly into campaign design for Pega Infinity 26 clients at no additional cost. The platform enables natural-language campaign creation with built-in approval workflows, audit history, and compliance monitoring, addressing what EY data shows is a widespread gap: only one-third of companies have responsible controls for AI despite three-quarters having AI integrated across their organizations. Pega simultaneously partnered with Gryphon to add omnichannel compliance coverage for TCPA, TRS, DNC, and FDCPA requirements, recovering over-suppressed audiences and quantifying financial exposure. The combined architecture positions Pega as offering end-to-end responsible AI spanning decision quality, fairness, and compliant outreach delivery—capabilities competitors including Adobe and Salesforce do not yet offer natively. (Source: Futurum Group analyst report, Keith Kirkpatrick, August 21, 2026)

Nearly half (49%) of UK finance leaders acknowledge gaps in their AI governance strategy, creating conditions for shadow AI adoption as employees bypass official processes when approved tools are difficult to access or policies lack clarity. Research shows 27% of UK employees have purchased AI tools for work without approval in the past year, and 23% of finance leaders admit having little to no AI governance measures in place, despite 93% of CFOs expecting increased AI investment. Effective AI governance, when developed alongside adoption rather than as an afterthought, prevents fragmented implementation and compliance risks while enabling safe experimentation and innovation—addressing shadow AI as a symptom of misaligned processes rather than restricting employee use of AI tools.