AI that's safe by design

Every AI decision that impacts your business can be routed through human approval workflows. Configure which actions require sign-off based on risk level, value threshold, or confidence score.

• Multi-level approval chains for high-stakes decisions
• Configurable confidence thresholds — AI only acts autonomously above your chosen level
• Real-time notifications for pending approvals
• Escalation paths when AI confidence is below threshold

Your data never leaves your infrastructure. We offer full on-premise deployment, UK-based private cloud options, and air-gapped environments for the most sensitive workloads.

• On-premise deployment within your data centre
• UK-only private cloud with data residency guarantees
• Air-gapped options for classified workloads
• No data sent to third-party LLM providers without explicit consent

Every action taken by an AI agent is logged with full context — what was decided, why, what data was used, and what alternatives were considered. Full traceability for compliance and governance.

• Immutable audit logs for every AI decision
• Decision explainability — see the reasoning behind each action
• Compliance-ready reporting for FCA, ICO, and sector regulators
• Retention policies aligned with your data governance framework

Set the bar for autonomous AI action. Below your threshold, agents pause and escalate. Above it, they proceed with full logging. You control how much autonomy each agent has.

• Per-task and per-agent threshold configuration
• Dynamic thresholds that adjust based on task criticality
• Gradual autonomy increase as trust builds over time
• Override capabilities for administrators

Control who can configure, deploy, and interact with AI agents. Our RBAC system integrates with your existing identity provider and supports granular permissions.

• Integration with Active Directory, Okta, and Azure AD
• Granular permissions per agent, workflow, and data source
• Separation of duties between AI configuration and approval
• Audit trail for all access and configuration changes

Built-in bias detection and fairness monitoring across all AI outputs. Regular audits ensure your automation treats all stakeholders equitably.

• Automated bias detection across protected characteristics
• Fairness metrics tracked and reported continuously
• Regular model audits with independent third-party review options
• Transparent model cards documenting training data and limitations