The problem
AI capability is not the blocker. Enterprise risk is
Enterprises are ready to use autonomous AI to improve customer services, reduce cost, and accelerate service delivery. The barrier is that once AI moves from answering questions to taking actions, without real accountability, agentic AI cannot be safely deployed in regulated industries.
Common blockers
Without real governance, Agentic AI cannot be adopted by regulated industries.
What Icebreaker does
Icebreaker clears the path for autonomous AI in production
Runtime governance
Every AI action is evaluated before execution.
Enterprise policy enforcement
Existing authorisation and compliance controls are enforced.
Full auditability
Every AI decision and action is traceable.
Move Beyond Automotion to Autonomous Intelligence
1
Deploy autonomous AI in real operations
Move beyond chatbots and assistants to AI that can safely execute actions across onboarding, servicing, fraud response, and claims.
2
Reduce risk without limiting innovation
Runtime governance ensures every AI action is authorised, traceable, and aligned with enterprise policy.
3
Preserve your existing architecture
No refactoring of core applications, APIs, gateways, or identity platforms.
4
Prove accountability
Generate governance evidence for internal risk, audit, and regulators.
Icebreaker is designed to be introduced alongside your existing stack. Your core services, customer journeys, and APIs continue to operate unchanged.
No requirement to:
Modify applications or APIs
Replace your Identity Provider
Replace your gateway, service mesh, or core integration layer
Rewrite business workflows
Re platform your IAM strategy
Runtime governance for agentic AI in five steps
01 Register purpose
Define what the AI system is allowed to do in business terms, with constraints and permitted action categories.
02 Establish a governed session
Each run operates inside a session scope tied to purpose, identity, and policy context.
03 Approve Intents
The agent’s planned intents is evaluated against the approved purpose and constraints before execution.
04 Enforce before action
Requested actions are authorised or denied in real time.
05 Record evidence
All decisions generate an auditable trail suitable for security, compliance, and operational teams.
Full transparency through a white box approach
Every AI initiated action is visible, traceable, and auditable. Icebreaker provides clear accountability for how AI operates in production environments without restricting the intelligence or creativity of the AI.
The market problem
Many products attempt to govern agentic AI by mapping intent to a fixed set of explicit permissions in advance. That approach breaks down in production because autonomous systems need flexibility to reach outcomes, and you cannot predict every action pathway ahead of time.
The result is typically one of two failure modes:
-
Over permissioning to keep workflows moving, which increases risk
-
Under permissioning that creates constant denials, escalations, and operational drag
Either way, teams inherit a permissions maintenance burden that grows faster than adoption.
How Icebreaker solves it
Icebreaker governs autonomy without forcing you to pre enumerate every possible action.
Outcome governed, not path constrained
You define the business purpose and constraints. The AI can take different paths as long as it remains within approved boundaries.
Real time decisions, not static permission lists
Actions are evaluated at runtime using session scope, policy context, and risk signals, then enforced before execution.
Built to avoid a permissions nightmare
Icebreaker reduces brittle intent to permission mappings that constantly change as workflows and systems evolve.
Security, risk, and compliance
Designed for regulated environments
Runtime controls
Decisions are made before actions execute.
Auditability by default
Every decision is recorded with context and rationale.
Separation of duties
Clear boundaries between governance components
Aligns to existing IAM strategy
Icebreaker integrates with your existing enterprise identity and authorisation controls
Exclusive Insights
Most organisations can experiment with AI assistants, but struggle to safely deploy autonomous AI in production.
Icebreaker provides runtime governance that evaluates every AI initiated action before execution, ensuring it aligns with enterprise policies and approved business purposes.Icebreaker is a runtime governance platform for autonomous and agentic AI.
It evaluates and enforces enterprise policies before AI systems execute actions in production environments.No. Icebreaker is not a large language model.
It is a governance layer that sits between AI agents and enterprise systems. Icebreaker ensures every AI-initiated action is authorised, auditable, and aligned with enterprise policy before it executes.Agentic AI refers to AI systems that can take actions autonomously rather than simply answering questions.
Icebreaker governs these actions so AI agents operate safely within enterprise policies and approved business purposes.Runtime governance means enforcing rules at the moment an AI system attempts to take action.
Icebreaker evaluates every AI initiated action before execution to ensure it complies with enterprise policies and authorisation controls.Icebreaker provides full transparency into AI initiated actions.
Every decision and action is visible, traceable, and auditable, allowing organisations to maintain clear accountability for how AI operates in production.No.
Icebreaker does not limit how AI models generate insights or responses. It evaluates the actions AI systems attempt to take and ensures they comply with deterministic enterprise policies before execution.
Yes.
Icebreaker integrates with existing enterprise identity, authorisation, and policy systems. This allows organisations to apply the same governance standards to AI actions as they do to human users and applications.No.
Icebreaker operates as a governance layer between AI agents and enterprise systems. Existing applications and APIs can remain unchanged while Icebreaker evaluates and governs AI initiated actions.No.
Icebreaker is not tied to any specific identity platform. It can integrate with existing identity and authorisation systems such as Ping Identity, Keycloak, or other enterprise policy frameworks.Icebreaker focuses on runtime governance and enforcement for autonomous actions in production.
Rather than governing AI models themselves, Icebreaker governs what AI systems are allowed to do in enterprise environments.Icebreaker sits between AI agents and enterprise systems.
It evaluates and governs AI initiated actions before they interact with applications, APIs, or sensitive data.Yes.
Icebreaker is model agnostic and can govern actions from multiple AI models and agent frameworks. This allows organisations to adopt AI safely while maintaining consistent governance.Most AI governance tools focus on filtering prompts or monitoring outputs.
Icebreaker governs the actions AI agents take in enterprise systems, ensuring every action is authorised and aligned with enterprise policy before execution.Yes.
Icebreaker is designed for organisations operating in regulated environments such as banking, insurance, healthcare, and telecommunications. It provides the transparency, control, and accountability required for safe AI adoption.When AI moves from answering questions to taking actions, the risks increase significantly.
Runtime governance ensures that AI actions are evaluated and authorised before they execute, protecting customers, revenue, and compliance obligations.