
Skywork Super Agents lets enterprises design, evaluate, and deploy autonomous agents for support, ops, and analytics. Compose tools, data sources, and policies into governed workflows. Route tasks to the best model and skill with cost and latency targets. A/B sandboxes prove reliability before rollout. With observability, guardrails, and RBAC, teams scale assistants that act safely and deliver measurable outcomes across channels.
Model behaviors on a canvas for steps, tools, and approvals. Policies constrain actions, data scope, and tone, while typed inputs and outputs prevent schema drift. Rate limits, retries, and timeouts regulate costs and SLAs. With boundaries defined up front, agents execute repeatable procedures instead of improvising, which gives owners confidence and simplifies handoffs between bot actions and human review when stakes are high.
Attach skills for search, RAG, forms, payments, and ticketing with scoped credentials. Route by task to the optimal model using accuracy, latency, and budget thresholds. Function calling and JSON schemas keep outputs structured for downstream systems. This modular design lets teams improve a single step or provider without rewriting flows and limits blast radius when dependencies or model versions change unexpectedly in production.
Create datasets from transcripts, logs, and edge cases. Run evaluations to compare prompts, tools, or models using task success metrics and rubrics. Replay real sessions safely in sandboxes with synthetic data. These feedback loops expose failure modes before customers see them. By making reliability measurable, launches move from intuition to evidence, and teams learn which constraints, prompts, or tools actually raise completion rates.
Trace each run across steps with prompts, tool calls, and tokens. Redactions protect secrets in logs. Rules enforce refusals, consent checks, and content safety. Alerts flag drift, cost spikes, or repeated failures. With visibility and controls in one view, owners fix brittle branches quickly and prevent regressions from reaching production, which keeps trust high while coverage expands to new workflows, users, and regions.
Expose agents through APIs, chat widgets, IVR, or internal apps. Environments separate staging and production with version history and approvals. RBAC and audit logs specify who can edit, ship, or pause an agent. Connectors reach CRMs, help desks, data warehouses, and billing with least-privilege keys. This operational layer turns proofs of concept into durable services that scale with teams, budgets, and regulations.


Best for enterprise product, support, and operations groups modernizing workflows with AI but needing evidence and control. With routing, evals, guardrails, and governed deployments, Skywork Super Agents helps teams iterate safely, expand coverage, and prove ROI to stakeholders, turning pilots into dependable assistants that handle tickets, updates, and research across departments and regions.
Skywork Super Agents replaces fragile scripts, opaque prompts, and ad hoc agent behavior with a governed platform. Teams design flows visually, attach only the tools agents need, and measure outcomes with evals. Because routing and controls are centralized, upgrades do not require rewrites. The result is safer automation, clearer accountability, and faster delivery of value across channels without sacrificing compliance.
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