Accountability needs to keep pace with the growing authority of AI
Gartner's 2027 strategic predictions describe governance moving from policy documents to controls embedded directly in AI systems and workflows. Gartner expects insurers to drive that shift by 2030, and it expects 80% of Global 500 companies to contractually name their CIO or chief AI officer as the "Evidence Custodian" for AI accountability.
Our research points to the same need. In the Infor™ Enterprise AI Adoption Impact Index, 54% of leaders said they are comfortable with agents fully executing critical processes, yet only 10% have a Chief AI Officer. Responsibility for AI is shared across the CEO (23%), the CIO or CTO (22%), and AI committees (15%), while another 15% say no single owner is clear. One in three leaders also named data security, sovereignty, or compliance as their biggest barrier to advancing AI.
Infor builds governance into every agent action
Trust is the foundation of an agentic enterprise, and it is the focus of the Governed pillar of Infor Industry AI™. Infor Governance, Risk & Compliance is part of the core of the Infor Industry Cloud Platform, so every agent action runs through it:
- The AI use case registry captures the owner, data classification, and risk category of every AI initiative before it reaches production, which aligns with Gartner's recommendation to monitor business-created apps and agents through automated registries.
- Each agent receives its own identity and operates under the same guardrails as an employee.
- Zero standing privilege gives an agent access for the task in front of it and removes that access when the task is complete.
- Approval workflows, explainable logic, and immutable logs make every action traceable.
Customers are seeing up to a 90% reduction in auditing costs tied to access management. Miller Industries, for example, reduced access-testing audit costs by 90% and now completes 100% of its user access reviews with Infor GRC. You can learn more in our executive brief on governing enterprise AI at scale.
A few questions can help you assess your own environment. Can you list every AI agent in production and its owner? Can you show an auditor what each agent did and why? Does every agent lose access when its task is complete? Clear answers to all three indicate that governance is working across your AI.
Governance protects your budget and surfaces issues early
Gartner predicts that 60% of Global 500 companies will embed AI FinOps controls at inference by 2028, with cost per task and token efficiency as core requirements. Infor agents call business-level process APIs, which means they complete work in fewer steps and use fewer tokens, and the industry context from Infor IQ is designed to reduce the guesswork behind errors and rework.
Visibility helps as well. At State Electric Supply, process mining revealed within days that 40% of purchase order lines were bypassing the correct workflow. Frontier Co-op uses Infor GRC to bring finance, auditing, and IT together on one platform, which reduced the time spent on provisioning and IT support by 10%.
What to do next
- Read what our research found in Businesses are giving AI more authority.
- Explore Infor GRC and its AI governance capabilities.
- Join us tomorrow for Day 4, where we look at how people and AI agents work best together.