AI Governance Platform Pricing & Plans

An AI governance platform is infrastructure software that enforces policies, security controls, and compliance requirements across enterprise AI systems in real time. Unlike static policy documents or post-deployment reviews, a governance platform like Trussed AI sits in the execution path of AI interactions—authorizing requests, logging decisions, and enforcing guardrails before models, agents, or tools take action. It provides centralized visibility and control over AI usage, costs, risks, and compliance across development and production environments, ensuring that governance travels with AI systems regardless of which model, tool, or workflow is being used.

Trussed AI's pricing scales with your AI consumption, measured by the volume of requests, API calls, and interactions flowing through the control plane. All plans include the core platform with audit logging, dashboards, and reporting. As your AI usage grows—whether through more applications, agents, or users—your costs scale proportionally, ensuring you're not over-provisioned during initial deployment or under-resourced during expansion. Governance and guardrail capabilities are configured to your specific needs, and you can start with a proof of concept to validate the platform's value before committing to enterprise-wide deployment.

Self-managed deployment means Trussed AI's control plane is deployed in your own cloud environment or data center, giving you full platform access and configuration control through the Trussed controller web interface. You maintain operational responsibility for infrastructure, updates, and availability. Managed deployment means Trussed operates a dedicated instance in your cloud account or a dedicated environment on your behalf—handling deployment, maintenance, updates, and monitoring while you retain data residency and access control. Managed deployments reduce operational overhead for teams that prefer to focus on governance strategy rather than platform operations.

Yes. Trussed AI integrates as a drop-in proxy with zero changes to your application code. It sits in the flow of AI interactions across models, applications, agents, and developer tools, providing real-time visibility and enforcement without disrupting existing systems. The platform supports public APIs and includes SDKs for Python, TypeScript, Go, and REST API for custom integrations. It works with major cloud providers including AWS and Google Cloud, and the Integration Partner Program extends compatibility with best-in-breed tools across your AI stack.

Trussed AI's advisory service delivers operational governance workflows in as little as four weeks. The implementation timeline includes defining how AI is used across your organization, aligning with policies and regulatory requirements, designing risk and approval workflows, and deploying the platform with integrations configured for your environment. The platform's proxy architecture enables rapid integration without code changes, and proof of concept engagements allow you to validate governance controls and measure impact before full rollout. Most enterprises see a 50% reduction in manual governance workload within the first deployment phase.

Trussed AI is compliant with SOC 2 Type II, HIPAA, GDPR, FERPA, NIST AI RMF, and ISO 27001. The platform generates continuous audit evidence as a byproduct of every governed interaction, maintaining complete audit trails with policy evaluation results, model versions, timestamps, and data lineage. This evidence is structured for internal audit, regulatory examination, and compliance reporting—supporting organizations in insurance, healthcare, financial services, and other regulated industries. Regulatory mapping and continuous monitoring capabilities help you stay aligned with evolving AI regulations.

Yes. Trussed AI's Agentic Governance solution evaluates policy before every tool call, data access, and workflow trigger—enforcing boundaries on agent actions in real time. Every tool call and API request is authorized against policy before execution, governance applies across agent-to-agent communication and shared memory, and policy enforcement travels with the agent regardless of which model, tool, or environment it operates in. This ensures that as agents scale and interact with internal systems, external APIs, and other agents, governance remains an active control layer in the execution path.

Trussed AI's Cost Governance solution tracks spend in real time across teams, models, and applications, providing granular visibility into where AI dollars are going by business unit, project, and provider. You can set budget thresholds that trigger alerts or hard stops before costs overrun, attribute costs to specific workflows to evaluate ROI at the use-case level, and optimize model selection by routing requests to the most cost-effective model that meets your quality requirements. This transforms cost governance from a monthly reconciliation exercise into continuous, enforceable control with real-time attribution.