Agentic AI · Production Control

Control what gets
into production.

Agentic systems introduce production behavior that can change without corresponding code changes. Solsta exists to control that moment.

> Know exactly which behavior is allowed to run
> Block or reverse behavioral changes during incidents
> Restore prior behavior even when execution is probabilistic
> Establish clear ownership across teams and workflows
Overview

AI agents combine models, prompts, and tools into a composite system with a behavioral capability surface that is rarely declared in a single, reviewable artifact. As these systems move into regulated, customer-facing, and business-critical environments, the absence of a canonical mechanism for declaring, reviewing, and binding agent capability at deployment boundaries creates material governance, compliance, and operational risk.

Solsta's production control boundary treats behavior as a first-class production artifact — requiring explicit declaration, approval, and versioned release paths before any behavioral change reaches production.

Solsta establishes a hard production boundary around agent behavior. Behavior is treated as a first-class production artifact — managed with the same rigor as code, configuration, and infrastructure.
The Problem

The new production admission problem

Traditional production systems assume a stable invariant: teams can say exactly what is running and reliably return to a prior known state. Agentic systems break this assumption.

Behavior emerges from
> Models, prompts, tools, and policies
> Learned state and external context
> Components that evolve independently and continuously
New behavior can enter production
> Without a traditional release event
> Without a code change
> Without a deploy
Why Existing Tools Fail

None of these systems governs production admission for behavior

CI/CD

Controls static artifacts like code and configuration, assuming they fully define runtime behavior. Behavior can change without a corresponding artifact change.

Observability & Evaluation

Explains outcomes after execution, but cannot reverse behavior once it has interacted with live state. Post-hoc insight is not pre-admission control.

Runtime Guardrails

Constrains execution paths, but does not establish ownership over what behavior is allowed to run. Guardrails act after admission — not before.

The Solution

Solsta's Production Control Boundary

Solsta establishes a hard production boundary around agent behavior. Behavior is treated as a first-class production artifact — declared, reviewed, versioned, and bound before deployment.

Solsta Control Plane

Governance Layer

Your Agent Runtime

Execution Layer

What This Enables

Production rollback becomes an operation, not an investigation

Before any behavioral version is allowed to run, Solsta enforces:

> Explicit eligibility and promotion into production
> Authorization and approval requirements
> Versioned release paths across environments
> A durable record of what behavior was admitted, when, and why
Determinism is enforced at release time, not during execution. Governance discipline applied at the promotion boundary — not retrofitted at runtime.
Architecture

Not Agent Orchestration

Solsta does not generate, execute, or orchestrate agents. It does not replace agent frameworks, model providers, or runtime platforms. It does not intercept execution or expand the runtime surface area.

Not agent frameworks
Not model providers
Not runtime platforms
Not execution interception

Solsta operates at a distinct layer

The production boundary where behavior is admitted.

Proven Under Pressure

Hardened in live production systems

Production Heritage

This control model was hardened in live service AAA game development, where stateful, non-replayable production systems operate under high financial and operational pressure — and is already deployed as production infrastructure.

Once behavior interacts with live state, ownership and rollback depend on behavior-level control, not code reversion.
Early Access

Request early access

If you have (or are planning to have) multiple agents in production, we want to hear from you. We're onboarding a limited group of early adopters.

Teams currently running agents in production or staging are onboarded first.

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