Agent Studio for Production AI Agents | Polestar Analytics
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    AgentStudiofor Governed Enterprise Agents That Act

    Agents that act, safely. A visual multi-agent builder with prebuilt agents, governed tools, guardrails, approvals and a full audit trail

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    AgentStudio for Governed Enterprise Agents That Act
    SEE IT IN ACTION
    Everyone has agents. Few are allowed to act.

    Enterprise agent programmes rarely stall on the model. Agent Studio is built for the action boundary: the tools an agent may call, the limits it must respect, the human who approves, and the record of what it did.

    Inside measured
    • Up to40%
      Lower decision latency
    • 10x
      Operational efficiency
    • 50+
      Ready-to-deploy agents
    Three steps from the first prototype to governed production

    No blank prompt. No bespoke integration written per tool. No safety left to instructions in the prompt

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    Enterprise Agent Features Built to Act, Safely
    Start from a proven agent, not an empty canvas
    • Prebuilt agents for inventory planning, pricing actions, sales optimisation and demand forecasting
    • Each adapted to your data, systems and decision rules, with an approval point built in
    • Agents, tools, guardrails and approval steps are nodes on the canvas, tested before promotion
    • Every change is an immutable version; promotion passes an approval gate, and rollback is one step
    AgentStudio dashboard
    Reasoning is cheap. Reach is the engineering
    • Each tool defined once, owned, scoped and reused by every agent
    • MCP servers with auto-discovered, schema-typed tools, shared across agents rather than rebuilt
    • Credentials come from the secrets vault, never in a prompt
    • Database, file, queue, terminal and legacy-service paths wrapped as registered tools, no modern API needed
    AgentStudio dashboard
    Orchestration and hand-off patterns, ready to reuse
    • A supervisor reads intent and routes each task to the right specialist agent
    • Sequential pipelines hand a typed artefact from one agent to the next
    • Specialists work in parallel; results are merged and reconciled
    • The agent stops, packages its context and hands to a person or an external agent
    AgentStudio dashboard
    Guardrails that are enforced, not requested
    • The agent can propose anything, but only what passes policy reaches a system
    • Within limits, the action proceeds; outside the band, it goes to a human approver
    • Destructive actions always pause for a human
    • Who asked, which agent ran, what it touched, who approved it: every run can be reconstructed
    AgentStudio dashboard
    Talk to Our AgentStudio Experts
    Autonomy widens on evidence

    Most enterprises sit at level 1 or 2. Level 3 is the first rung where the business feels a difference, and it is unlocked by controls, not by a better model.

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    Häufig gestellte Fragen

    Yes. The system that holds the decision is often the oldest in the estate. Agent Studio reaches it through governed interface adapters: database, file, queue, terminal and legacy-service paths wrapped as registered tools, under the same guardrails, approvals and trace.

    No. Agent Studio registers tools and MCP servers once and shares them across agents, so your engineers keep the frameworks they know while tools, guardrails and approvals are applied consistently.

    Guardrails are enforced outside the prompt. The agent can propose anything, but only what passes policy reaches a system. Within limits the action proceeds; outside the band it goes to a human approver, and destructive actions always pause for a human.

    Start from a prebuilt agent for inventory planning, pricing, sales optimisation or demand forecasting, adapted to your data, systems and decision rules. Every change is an immutable version, and promotion passes an approval gate.

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