OaklnFutureOakln 控制台

用一套现代化总控台,统一管理 Oakln 的智能运营系统。

FutureOakln 把智能体、工作流、审批、产品语义和业务工具收进同一层控制面, 让 AI 能力真正服务业务,而不是长成一堆散落的页面和脚本。

运行中智能体

7

待处理审批

2

语义可信度

89%

已登记工具

15

Approval Desk

Human review belongs at the edge of risk, not at every minor step.

The approval desk catches low-confidence semantic fields, unsupported content claims, and system writebacks. That gives the platform room to automate aggressively while still respecting business risk.

Queue

Pending approvals should always explain the risk, the evidence, and the unblock path.

pendingmedium riskShopline 语义接入

确认 5 个外套 SKU 的宽松版型分类

版型视觉预测低于置信阈值,但会影响下游搜索过滤。

Requester

Review Guardian

Due

2026-04-01 11:30

Blockers

需要商品运营根据图片进行确认
readyhigh riskShopline 语义接入

批准 Shopline metafield 批量写回

该批次会更新 24 件商品的公开语义元数据。

Requester

Ops Executor

Due

2026-04-01 12:00

Blockers

等待商品负责人签字
pendingmedium risk商品内容上架包

放行教练夹克上架包到渠道模板

素材包基本完成,但其中一条天气相关声明没有证据支持。

Requester

Document Crafter

Due

2026-04-01 13:00

Blockers

替换该声明或补充证明

Approval design

Write-edge gating

Any external mutation, publish action, or customer-visible claim should require an approval artifact or a narrow policy permit.

Low-confidence capture

When semantic enrichment or review scores drop below threshold, runs should pause instead of guessing harder.

Auditable decisions

Approvals should capture who decided, what evidence they saw, and what downstream system action they unlocked.