Organizations deploying AI across the business are facing the same open questions:
AI governance cannot remain a document or a periodic assessment. It needs to become part of the way enterprise AI operates.
Visibility into AI models, applications, agents, and use cases.
Understand risk, impact, ownership, and required controls.
Define policies, responsibilities, and approval mechanisms.
Continuously observe AI and agents for exceptions and risk.
Enable intervention, escalation, and human oversight.
Maintain the record of how AI is used and governed.
Responsible AI requires more than principles organizations need mechanisms to operationalize them. HOLAN provides both the principles layer and the governance capability that enforces it.
An agent can interpret an objective, access information, interact with systems, collaborate with other agents, and take action. Governance has to extend across that entire path.
AI supports human analysis and decisions.
AI acts with human review and approval.
AI executes within policy, by risk and maturity.
AI agents should operate as accountable participants in the enterpriseÂ
not as unmanaged software components.
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Users express a business objective in natural language. HOLAN combines enterprise context (terminology, data, rules, systems, relationships) with multi-agent orchestration (multiple agents, data sources, applications, approvals, and governance checks) to resolve what the objective requires.
Continuous observability – usage, activity, exceptions, performance, and risk signals – provides the evidence to confirm AI is behaving as expected, and to flag where it isn’t.
HOLAN is designed to complement existing enterprise investments – not require replacing them.
Integrates With
Managed enterprise service.
Your preferred cloud or platform.
Logical isolation, shared platform.
Dedicated infrastructure where required.
IAM integration, tenant isolation, and infrastructure requirements will be validated as part of the HOLAN platform pilot.
Most AI platforms focus on generating content or executing tasks. Most governance platforms focus on policy and controls. HOLAN brings both together.
AI Governance
Responsible AI
Agent Governance
AI Operations
AI Workforce
AI Execution
Planning & exceptions
Risk-sensitive processes
Planning & exceptions
Planning & exceptions
Planning & exceptions
AI visibility and Responsible AI foundations.
Policy, risk management, oversight.
Extend governance to agentic workflows.
Coordinate AI around business objectives.
Governed AI-driven work across systems.
An enterprise AI workforce, one framework.
AI adoption is already happening. The question is whether your organization is ready to govern it.
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IBM Partner Engagement Manager Standard is the right solution
addressing the following business challenges
IBM Partner Engagement Manager Standard is the right solution
addressing the following business challenges
IBM Partner Engagement Manager Standard is the right solution
addressing the following business challenges
Select an element to maximize. Press ESC to cancel.