Multi-software coordinate workflow

Email → Excel → DingTalk → Archive, one command connect

Jump around 5 software back and forth

Manual move data, keep switch software, one step wrong whole chain break

Morning get customer email, open mailbox read content, switch to Excel fill data, switch to DingTalk notify colleague, then switch to project tool update status, finally switch to cloud storage archive file. One thing, open 5 software, click 20+ times mouse, copy-paste 8 times.

Worse, these step all rely on human brain remember. One day forget notify finance, or Excel fill wrong one row, downstream all problem. Boss ask "that customer order where at", you flip through 5 software 10 minute piece together complete situation.

You not working, you human router.

OpenClaw like assistant know all software, help you connect process

Other AI only work in one software —— help write document, edit table that all. OpenClaw different, it can operate multi software same time, auto run entire workflow complete.

You only need describe what you want do: "receive invoice email extract amount, write to Excel, notify finance". OpenClaw understand after, auto monitor mailbox, extract data, fill table, send notif.

This not simple "connect two API", buttruly understand business logic. Like know invoice amount over 10k gotta approve, know supplier name go which column, know notif message should include what key info.

You describe process, OpenClaw execute process. This is biggest difference from pure chat AI.

4 workflow Prompt, connect your daily

This is OpenClaw core ability —— one command, multi software coordinate complete.

Monitor mailbox, receive invoice extract amount and supplier, write to Excel, send DingTalk to finance Golden instruction

Please build auto workflow for me:

Trigger:
- Monitor my mailbox, only care email subject contain "invoice" or "invoice"

Process step:
1. Extract invoice info from email attachment: invoice number, date, supplier name, amount (with/without tax)
2. Open shared Excel "2026 invoice ledger.xlsx"
3. In "this month" sheet add new row, fill info in right column
4. Send DingTalk to finance group:
   "Receive new invoice: [supplier] / amount ¥[amount] / already fill ledger row [row#]"

Note:
- If invoice amount over 10000, add tag in message "⚠️ Large amount invoice, please prioritize"
- If attachment not invoice (recognize fail), notify me manual check

This Prompt show OpenClaw core ability: email → data extract → Excel → notif, four step one shot finish. Before every day 30 min manual move data, now fully auto.

Every morning 8am auto summary yesterday sales data, generate daily report send to WeChat group Golden instruction

Every day 8:00 AM auto run workflow:

1. Export yesterday data from sales system (or read latest one day from specify Excel)
2. Summary these metrics:
   - Total sales
   - Order count
   - Average order value
   - Change compare (last week same day, last day compare)
   - Top 3 product sales
3. Generate simple daily report copy, format:
   📊 [date] sales daily report
   Total sales: ¥XX / Orders: XX / Average value: ¥XX
   Compare yesterday [↑/↓]X% / Last week same day [↑/↓]X%
   TOP3: product A xx units, product B xx units, product C xx units
4. Send to WeChat/Enterprise WeChat sales group

Operation and sales team most love workflow. Before every morning someone spend 20 min pull data, calculate growth, send group. Now 8am on time auto send, weekend also not miss.

Sync requirement doc in Notion to Jira, create correspond Task Advanced tricks

When Notion "requirement pool" database new entry mark as "confirmed":

1. Read requirement title, description, priority, owner
2. In Jira project [project key] create new Story
   - Title: [requirement title]
   - Description: sync from Notion, attach original link
   - Priority: map from Notion priority (P0→Highest, P1→High, P2→Medium)
   - Assignee: map to Jira account
3. Create success after, update Notion original "Jira link" field
4. In dev group send notif: "New requirement synced to Jira: [title], priority [P level], please @owner attention"

Product manager write requirement in Notion, dev follow task in Jira, sync in between all manual? This Prompt help connect two system, no more "this requirement Jira not create Task" awkward.

Monitor GitHub repo PR, after merge auto trigger deploy and send Slack notif Advanced tricks

Monitor GitHub repo [owner/repo] main branch:

When PR merge to main:
1. Get PR info: title, author, change file list, related Issue number
2. Trigger deploy process (call CI/CD webhook or run deploy script)
3. Wait deploy finish, record deploy status (success/fail)
4. Send Slack notif to #deployments:
   🚀 Deploy notif
   PR: [title] by @[author]
   Status: ✅ Deploy success / ❌ Deploy fail
   Change: [file count] file
   Related Issue: #[number]
5. If deploy fail, extra @ related dev and attach error log summary

DevOps team must-have workflow. PR merge → auto deploy → Slack notif, whole chain no need human manual. Deploy problem auto alert, way more reliable than human watch.

Workflow config example

One typical invoice process workflow, see how every step connect.

Invoice process auto workflow

# Multi-software coordinate workflow config
# ================================

Workflow name: Auto invoice process
Trigger: Mailbox monitor (check every 5 min)

Step 1: Email monitor
  - Data source: Enterprise mailbox IMAP
  - Filter: Subject contain "invoice" or attachment is PDF
  - Output: Email content + attachment file

Step 2: Invoice recognize
  - Input: PDF attachment
  - Action: OCR recognize → extract invoice number, amount, supplier
  - Model: GPT-4o (strong image recognize)

Step 3: Data fill
  - Target: Shared Excel / Google Sheets
  - Action: Add new row, fill recognize result
  - Check: Amount format, date format auto normalize

Step 4: Notif distribute
  - Channel: DingTalk group bot
  - Content: Invoice summary + Excel row number
  - Condition: Amount > 10000 extra tag

Exception handle:
  - Recognize fail → manual, send message to admin
  - Excel write fail → retry 3 times, still fail then alert

Workflow auto: OpenClaw vs Coze / Dify

OpenClaw

Describe process natural language can run, no need drag-connect line, no need learn new tool
Truly understand business logic, not robot if-else flow
Exception can self-judge process, not break whole flow just because format wrong
Anytime can chat tweak process, no need rebuild
Support almost all mainstream software and platform

Coze / Dify

Visual drag-drop build workflow, have some learn cost
Process logic hardcode, encounter special situation cannot process
Add new software need find plugin or self code, ecosystem limited
Change small logic might need re-drag half day line
Suit for fixed, simple repeat task

Real scenario: operation team daily work auto

5 person operation team, repeat data move and notif work take 40% time daily

Morning check data, make daily report, send group; customer feedback come multi channel gotta summary; activity data need export from backend, organize, make chart, report. Every thing not hard, add together one day gone.

OpenClaw solution

Auto 3 most repeat process using OpenClaw: daily report auto generate (morning 8am on time send group), customer feedback auto summary (multi channel → one table), activity data auto make chart. Team use time save for plan new activity and improve ad place, monthly KPI complete rate from 85% jump to 110%.

Pure manual mode

Every day two person spend half day on "move data". Boss ask "how activity do yesterday", ops still export from backend page by page. Wait report out optimal adjustment window already pass.

🔗

Multi-software coordinate is biggest OpenClaw difference from pure chat AI. Chat AI only help write copy, answer question; OpenClaw help run entire workflow complete. From data collect to process to notif to archive, one command connect, this truly efficiency tool.

Build workflow suggestion

💡 Start auto simplest process first. Like "receive email → send notif" two step flow, smooth then add more step. Jangan start with 10 step complex process, debug annoying.

🎯 Every workflow leave one "exception notif" fallback. Like recognize fail notify you, write fail notify you. Auto not mean no care, key is problem happen you know first time.

⚠️ Involve amount, order, customer data workflow, before go live must test run with test data few time. Auto wrong worse than manual wrong, because it wrong forever and quiet.

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