Liferay: Accelerated AI Agent Adoption Demands Robust Governance and Measurable Outcomes
Liferay — 2026 — AI & Technology
The Liferay 2026 Agentic AI Adoption and Governance Report finds enterprises are rapidly deploying AI agents but lagging on governance and measurement, creating operational and reputational risk. While 54% of organizations report agents in production or active piloting and verticals like technology (72%), healthcare (66%) and transportation/logistics (64%) lead adoption, only 24% have a company-wide AI usage policy and just 25% consistently measure AI impact with defined KPIs. The report recommends establishing formal policies, robust data governance, human-in-the-loop protocols, and measurable KPIs alongside employee training to convert technical deployments into sustained business value and to mitigate privacy, security and compliance exposures.
Key Statistics
- 54% of companies are running AI agents in production environments or actively piloting them
- 24% of companies have a formal, company-wide AI usage policy in place
- 25% of companies consistently measure the impact of their AI agents using defined KPIs
- 72% adoption of AI agents among technology companies, 66% in healthcare, and 64% in transportation/logistics
- 30% of organizations cite security or privacy concerns as a leading barrier to realizing AI agent value
Key Takeaways
- Establish an enterprise-wide AI usage policy within 90 days to define ethical, privacy, and operational guardrails before scaling agent deployments
- Define clear, measurable KPIs tied to business outcomes (e.g., FCR, CSAT, conversion rates) to quantify ROI and guide optimization
- Implement robust data governance and role-based access controls to secure data used for agent training and operation and to ensure regulatory compliance
- Embed human-in-the-loop workflows and explicit autonomy thresholds for high-risk or high-value actions to reduce error and legal exposure
- Invest in comprehensive employee training and change management to increase trust, improve agent utility, and close adoption capability gaps
Cite as: Liferay. (2026). Liferay: Accelerated AI Agent Adoption Demands Robust Governance and Measurable Outcomes. Retrieved from https://research.agilebrandguide.com/research/liferay-accelerated-ai-agent-adoption-demands-robust-governance-and-measurable-outcomes