Tetrate launches tool to certify enterprise AI agents

Tetrate has launched a new software product, Tetrate Agent Router Enterprise, which it says brings structure and common standards to the way large organisations build and sign off AI agents for production use.

The San Francisco-based company, known for its work on Envoy and Envoy AI Gateway, is targeting businesses that have already deployed large numbers of AI agents into live environments but lack a clear framework for deciding when those systems are stable and safe enough for broader rollout.

Tetrate said many enterprises now run hundreds of agents directly against production data and systems from the outset. It said few of those agents are regarded internally as fully complete, despite handling consequential decisions and actions.

Leadership teams are asking for predictable behaviour, measurable outcomes and reliable automation instead of proof-of-concept demos, according to the company. It is positioning the new product as a way for technical and business teams to apply a shared definition of readiness.

The Agent Router Enterprise product sits on top of Envoy AI Gateway, which Tetrate co-created and maintains in the open-source ecosystem. Envoy AI Gateway handles AI-related traffic management. The new layer focuses on development patterns, governance processes and certification of agents.

The readiness gap

Tetrate describes a structural gap between how AI agents operate and how traditional software moves through development, testing and staging environments. It said agents often begin life directly in production, with less human oversight than conventional applications.

The company said the challenge is not deployment itself, but the degree of trust that organisations place in agents that adapt over time and work with sensitive data. It highlighted pressure on engineering managers whose teams build agents using different models, tools and informal standards.

Executives want evidence that agents behave consistently, operate safely and have a demonstrable impact on business outcomes, Tetrate said. It argued that the absence of shared criteria for completion results in duplicated work, slow release cycles and inconsistent behaviour across teams.

It also said many agents never cross the internal threshold from being "in use" to being recognised as production ready. That situation limits scale, particularly in regulated or complex operational environments.

Tetrate characterises the act of defining what "complete" looks like for an AI agent as a dividing line between successful and unsuccessful AI initiatives. It said AI agents are operationally different from deterministic applications, which typically progress through set development stages before exposure to live workloads.

David Wang, Head of Product at Tetrate, said businesses need that line in place.

"There's a big difference between an agent that runs and an agent the business can trust," said David Wang, head of product at Tetrate. "Enterprises need a clear, shared definition of readiness, one based on consistent behavior, safety constraints and measurable impact. Without that finish line, organizations can't scale AI responsibly."

Defining standards

Tetrate defines agent readiness as an organisation-wide set of standards that determine when an agent is stable, safe and effective enough for wider use. The company said the concept narrows the gap between an agent that merely runs and produces output and an agent that behaves predictably and is relied on for business value.

Agent Router Enterprise structures agent development. It introduces consistent patterns and shared services that apply across teams. Tetrate said this reduces fragmentation and rework and creates a more uniform development process.

The product includes a unified large language model gateway. This presents an approved catalogue of models and centralises access in place of multiple separate API keys. The gateway also manages model fallback when a model fails and implements controls over usage and cost.

It also includes an MCP Gateway. This gateway exposes a shared catalogue of tools with authenticated access and detailed filtering for which tools agents can use. Tetrate said this creates a controlled environment for tool invocation.

The system applies AI guardrails on top of those components. These guardrails enforce consistency of behaviour. They reduce hallucinated responses and constrain the handling of sensitive data. Tetrate said this combination allows new agents to incorporate common security and governance practices from the outset.

Measuring completion

Beyond development, Agent Router Enterprise introduces a formal certification path. Tetrate said this path allows teams to declare when agents are complete.

The platform conducts evaluations of agent behaviour. It produces dashboards that show behavioural metrics, guardrail scoring and changes in performance over time. Those outputs form a standard for what completion means in a given organisation.

Reliability dashboards display measures such as error rates and response stability. Impact dashboards focus on indicators that management teams associate with business value. Tetrate said leaders can use those dashboards to certify agents based on evidence rather than intuition.

The company said this process removes duplicated testing and reduces management overhead. It also said it makes the progression from pilot projects to completed agents more repeatable.

Ongoing oversight

Tetrate frames the launch in the context of a shift from long development cycles to shorter cycles with extended operational oversight. It said deterministic applications can often run for long periods without change, while probabilistic AI agents are prone to drift, behaviour changes and evolving context.

The company said continuous supervision of agents becomes essential once they are considered complete. Teams need regular monitoring and evaluation of outputs. They also need checks that behaviour remains aligned with business intent.

Agent Router Enterprise provides metrics for this post-completion phase. Tetrate said customers can continue to track accuracy, safety and adherence to constraints over the life of an agent deployment.

The company said Agent Router Enterprise is now generally available and sits alongside existing products such as Agent Operations Director and Agent Router Service in its portfolio for organisations that run AI agents across regulated industries and government environments.