Reactivate Legacy OA with AI
Many enterprises' OA systems carry over a decade of approval templates, workflow configurations, and historical data. Replacement costs are prohibitive, but capabilities can't keep up with efficiency demands. FIM Agent doesn't replace OA — it adds an intelligent middleware layer on top, giving old systems AI assistance and cross-system integration capabilities.
OA functionality is rigid, every adjustment requires the vendor
Want to add an approval workflow or modify a form field? You need to contact the OA vendor to submit requirements, schedule development, test, and deploy. A simple workflow adjustment can take weeks or even months, with additional costs.
After OA approval passes, subsequent actions still rely on manual work
An equipment procurement approval passes in OA, but next steps require manually creating a purchase order in ERP, freezing budget in the financial system, and notifying the admin department via WeCom to prepare for inspection. OA is the process endpoint, but business doesn't end there.
Information retrieval in OA is inefficient
Finding an approval record from two years ago requires remembering the approximate document number or time range, then navigating through OA's multi-level directories. OA lacks intelligent search — much historical data is in a 'stored but unfindable' state.
Scenario A
Natural Language OA Queries (Copilot)
Users ask Agent in Feishu or DingTalk: 'Find all equipment procurement approvals from last quarter' or 'Who gave final approval on the contract with XX Company last year?' Agent queries OA data through connectors and returns structured results.
Scenario B
Auto-Trigger Downstream Actions After Approval (Hub)
When an OA approval node passes: Agent detects status change → auto-executes subsequent actions based on approval type: procurement approval → creates purchase order in ERP; reimbursement approval → generates payment voucher in financial system; seal approval → notifies admin department. Each write operation can be configured to require human confirmation.
Scenario C
Intelligent Classification & Reminders
Agent periodically scans pending approval lists, classifies backlogged items by priority, and pushes reminder messages to approvers.
OA capabilities expand dramatically without modification
No need to contact OA vendors for custom development. FIM Agent layers on top of existing OA as middleware — OA handles approval workflows, Agent handles upstream/downstream integration and intelligent assistance.
Approval is no longer the process endpoint
Post-approval actions — creating documents, generating vouchers, notifying stakeholders — are auto-completed by Agent. OA approval results truly drive business execution.
A decade of historical data becomes accessible again
Through natural language queries, historical approval records, documents, and workflow data accumulated in OA become accessible again. No more memorizing numbers or browsing directories.