Let every employee in your company build genuinely usable business apps with AI — no coding, no waiting on IT.
ClawPro is an enterprise-grade AI agent governance platform. CloudBase provides complete cloud app development and hosting infrastructure. Together, they give every employee app development and deployment capability.
See the result first
A complete CRM system — dashboard, customer management, opportunity management, task management, live feed, public boards and a multi-role permission system. All of it.
This isn't a demo prototype — it's a system ready for production use. And the person who built it doesn't need to be a developer at your company.
CRM system demo: https://qiye-9gnn3we02d989776-1308771514.tcloudbaseapp.com/crm/
| Account | Role | Data permission |
|---|---|---|
| wangzong | Admin | All data + system settings |
| liming | Manager | All data |
| sunwei | Sales | Own data only |
Log in with any test account (password is abcd1234 for all).
What does this have to do with your company?
Every company has a pile of "small system" needs that IT never gets around to:
- Sales wants a customer follow-up ledger — stop using Excel
- Operations wants an event registration system — outsourcing takes too long every time
- HR wants a training check-in tool — IT's schedule is two months out
- The QC department has a mature process but still uses paper forms
- The boss wants a weekly report dashboard — the information is too scattered to read
The common thread: not big, not small, useful if done, tolerable if not — and IT never gets to it.
Now there's a new answer: let employees talk to AI to build it.
How does it work? Five steps to a company-wide development flow
Step 0: Activate ClawPro — the enterprise admin activates it on the ClawPro platform, creates the company space, configures the LLM and invites members. Every employee gets their own OpenClaw AI assistant entry point.
Step 1: The admin assigns a CloudBase environment to employees' OpenClaw — in ClawPro's "cloud development management" page, the admin creates the company's Tencent Cloud CloudBase environment and binds it to the OpenClaw each employee uses. Once configured, the employee's AI assistant gains cloud development and deployment capability.
Step 2: The employee expresses needs to OpenClaw — just chat with your AI assistant in natural language, through WeCom, Feishu, DingTalk, QQ or a web dialog:
👤 Employee (sales lead Lao Wang): "I need to plan and create a CRM app, and deploy it to the cloud development environment."
OpenClaw's built-in LLMs (DeepSeek V3, Hunyuan Turbo, etc.) deeply understand the employee's intent and proactively confirm key details. The employee doesn't need to write requirement docs, draw prototypes, or understand any technical concept.
Step 3: OpenClaw completes development and deployment automatically — the AI engine drives CloudBase skills to complete the full flow from design to deployment:
✅ Cloud database collections created: customers, opportunities, follow_ups, users, public_board ✅ Cloud functions deployed: user auth, customer CRUD, opportunity flow, follow-up records, board data ✅ Multi-role permissions configured: Admin / Manager / Sales three-level data isolation ✅ Front end deployed to static hosting
The employee just waits a few minutes. AI completed work that traditionally took a dev team weeks.
Step 4: The employee accepts the app and iterates through conversation — launch isn't the finish line, it's a new start:
- Scenario A, acceptance feedback: "I want to see how many customers need follow-up today, right on the dashboard." → adds a "Follow up today" card
- Scenario B, new need: "I want to see each salesperson's performance ranking and the opportunity conversion funnel." → adds a data analysis page
- Scenario C, feature expansion: "Remind sales every morning which customers to follow up today, sent to WeCom." → adds an automatic reminder
The app is no longer a one-shot deal. Employees can drive iteration with a sentence at any time.
Step 5: Collaboration drives continuous evolution — a user spots a missing feature and files a collaboration request → the admin reviews and approves → the employee's AI assistant implements it immediately. The whole loop can complete in minutes, while the admin keeps control over app changes.
What else can it do? Four real scenarios
01 Paper process, digitized in a day: quality inspector Lao Zhang's decade of paper work orders become a mobile app with one sentence — inspection photos, issue assignment, rectification checkboxes, all in.
02 Business self-service, no waiting on IT: marketing's Xiao Li wants an event registration page that used to take two months to schedule — now it's requested in the morning, live in the afternoon.
03 Veteran experience becomes reusable assets: top salesperson Sister Chen dictates an SOP once, and OpenClaw turns it into a training system with scripts, cases and decision trees.
04 Customer response, evolving horizontally: after-sales' best replies get saved as recommended answers with one click for colleagues to reuse; poor replies get improved team-wide in sync.
In closing
The app workbench from ClawPro x CloudBase lets every employee use AI agents to develop and share apps, serving the business itself and delivering results reliably — not a one-time experiment, but a working method you can rely on every day.
The enterprise lobster is on the table, CloudBase's serverless engine is ready — is your AI agent ready to work?
