Telara - 2026 Pricing, Features, Reviews & Alternatives

Telara is an enterprise AI operating layer platform designed to enable organizations to govern, secure, and manage AI tool usage across the workforce while maintaining centralized control over data access, permissions, and policy enforcement. It serves as a mediation layer between knowledge workers utilizing AI clients and agents and the enterprise systems they engage, providing security and platform teams with comprehensive oversight capabilities. Telara is tailored to enterprise organizations operating under SOC two, HIPAA, and GDPR frameworks that require delegated AI authority models and end to end auditability for operational compliance.

Telara operates via a three layer control plane architecture that enforces security, sovereignty, and longevity principles across AI mediated interactions. The platform resolves AI actions within tenant scoped boundaries and evaluates each mediated tool call against context, scope, credentials, and policy before execution. Identity aware access controls follow individual users and connected clients through support for SAML and OIDC protocols for single sign on alongside role based access control mechanisms. Approval gate functionality designates actions that require human authorization before execution to establish a governed action path for AI operations. Tenant isolation ensures that company context, credentials, and operational records remain separated across organizational boundaries to prevent cross contamination of sensitive data. Comprehensive decision records capture policy evaluations, approvals, outcomes, and attribution details to create an enterprise operating record of AI work. Permissions resolve at tenant, team, user, and client levels before each action is evaluated against established policies and use scoped, delegated authority credentials in place of universal agent credentials to limit exposure.

Integration with AI clients and agents uses the Model Context Protocol to route work through the governance layer of the platform. The platform includes API reference documentation to support custom integrations with existing enterprise systems and AI tooling infrastructures. Deployment options accommodate a variety of data residency and boundary requirements and include consultation to confirm supported deployment models based on organizational environment and compliance needs. Organizations can configure the systems and AI tools that route work through Telara to define the scope of governed AI operations within their technology ecosystem.