CloudClaw is a SaaS platform that lets you deploy your own OpenClaw AI assistant on Telegram in under 60 seconds. No SSH, no servers, no DevOps — just pick a model (Claude, GPT-4o, or Gemini), connect your Telegram bot, and go live.

OpenClaw is an open-source AI assistant framework that connects large language models like Claude, GPT-4, and Gemini to messaging platforms. CloudClaw hosts and deploys OpenClaw instances for you in isolated containers.

How fast can I deploy an AI agent with CloudClaw?

Under 60 seconds. Choose your AI model, connect your Telegram bot token, and CloudClaw handles the rest — container provisioning, networking, and configuration are fully automated.

Which AI models does CloudClaw support?

CloudClaw supports Anthropic Claude (including Claude 4 Sonnet and Opus), OpenAI GPT-4o, GPT-4 Turbo, and Google Gemini models. You bring your own API key and choose the model during deployment.

How much does CloudClaw cost?

CloudClaw offers two plans: Starter at $30/month for 1 active agent with active support, and Pro at $85/month for up to 5 active agents with priority support. You can upgrade or cancel anytime.

Do I need technical skills to use CloudClaw?

No. CloudClaw eliminates all the complexity of server setup, SSH, Docker configuration, and environment management. If you can copy-paste a Telegram bot token and an API key, you can deploy an AI agent.

beginner7 min read

How to Build a HR Assistant Bot on WhatsApp — Step-by-Step Guide

Automate employee onboarding, leave management, and policy inquiries directly on WhatsApp using CloudClaw and top-tier AI models.

An AI-powered HR assistant on WhatsApp can reduce routine employee inquiries by up to 70 percent, freeing your human resources team for strategic tasks. By leveraging the WhatsApp Business API and CloudClaw, you can deploy a secure, highly responsive bot that answers policy questions and handles leave requests in seconds. Best of all, you can build and launch this internal tool without managing servers or writing complex deployment code.

What You'll Learn

Setting up a WhatsApp Business API account for internal use
Structuring your HR knowledge base for accurate AI retrieval
Connecting your bot to CloudClaw in under 60 seconds
Designing interactive WhatsApp features for leave management

Prerequisites

A verified Meta Business Manager account
Your company employee handbook and policy documents in PDF or TXT format
A free CloudClaw account

Step-by-Step Guide

Set up the WhatsApp Business API

Create a Meta app and generate a permanent access token for the WhatsApp Business API. You will need a dedicated phone number that is not currently registered with a standard WhatsApp consumer account.

Use a phone number specifically dedicated to internal employee support to avoid mixing customer data with internal employee queries.

Do not use your personal WhatsApp number, as migrating it to the Business API will permanently delete your personal chat history.

Compile your HR knowledge base

Gather your employee handbook, benefits documentation, and holiday schedules into clean, text-based formats. The AI needs this structured data to accurately answer specific questions about PTO accrual or healthcare benefits.

Create a single master PDF or a structured folder of text files to easily upload into your AI knowledge base.

Connect WhatsApp to CloudClaw

Log into your CloudClaw dashboard, click Create Agent, and select WhatsApp as your deployment channel. Paste your Meta access token, phone number ID, and Business Account ID directly into the platform.

CloudClaw handles all the webhook verifications automatically, saving you from having to set up and maintain external endpoint servers.

Select your AI model via OpenRouter

Choose an AI model that excels at document analysis and reading comprehension. CloudClaw gives you access to over 300 models, allowing you to pick the perfect balance of cost and intelligence for internal HR queries.

Upload documents and configure the system prompt

Upload your compiled HR documents directly into CloudClaw to enable Retrieval-Augmented Generation. Write a strict system prompt instructing the bot to only answer based on the provided documents and to direct sensitive complaints to a human HR representative.

Include a strict rule in your prompt like: If the answer is not in the knowledge base, state that you do not know and provide the HR email address.

Failing to restrict the AI to the provided documents can result in hallucinations about company benefits or legal policies.

Add interactive WhatsApp features

Configure your bot to use WhatsApp interactive buttons for common workflows like Request Leave, View Payslip, or Onboarding FAQs. This reduces friction for employees and keeps conversations highly structured.

Test and deploy to employees

Send a test message from your personal WhatsApp to the new HR bot number to verify response accuracy and latency. Once verified, distribute the phone number or a wa.me link to your team via internal email or your company intranet.

Generate a QR code linking to the bot and add it to your new hire welcome packets for instant onboarding support.

Recommended Model

Claude 3.5 Sonnet

Claude 3.5 Sonnet excels at nuanced reading comprehension and maintaining a professional, empathetic tone, which is critical for HR communications. It accurately retrieves complex details from large employee handbooks without hallucinating company policies.

Alternatives

Gemini 1.5 Pro — Offers a massive 2 million token context window, perfect if your company has thousands of pages of compliance and training manuals, though it can be slightly slower than Claude.

GPT-4o — Extremely fast and highly capable of reasoning through complex leave calculations, but can be more expensive per token for high-volume internal utility bots.

Best Practices

Implement a human handoff protocol

Always provide an option for employees to escalate their query to a human HR manager, especially for sensitive topics like workplace grievances, harassment reports, or payroll discrepancies.

Use interactive lists and buttons

Leverage WhatsApp Business API interactive messages to give employees clickable options for common requests like Check PTO Balance or Submit Expense, which reduces typing errors and speeds up resolution.

Update documents immediately upon policy changes

Whenever a company policy changes, immediately upload the new document to your CloudClaw knowledge base and delete the old one to prevent the bot from dispensing outdated or legally inaccurate information.

Maintain a professional and empathetic tone

Instruct the AI via the system prompt to use a supportive, neutral, and professional tone at all times, as employees may be asking about medical leave, bereavement, or stressful personal situations.

Common Mistakes to Avoid

Allowing the bot to answer non-HR questions

Add strict instructions in the system prompt explicitly forbidding the bot from answering questions unrelated to company policy, onboarding, or internal HR matters.

Overwhelming users with long text walls

Instruct the AI to keep responses under 3 sentences and use bullet points, as WhatsApp is primarily a mobile interface and long paragraphs are difficult to read.

Neglecting data privacy

Ensure your system prompt instructs the bot never to ask for or repeat sensitive Personally Identifiable Information like Social Security numbers or banking details in the chat.

Failing to test edge cases

Run mock conversations testing complex scenarios, such as an employee asking about maternity leave combined with unpaid time off, to ensure the RAG system pulls from all relevant documents accurately.

Frequently Asked Questions

Is employee data secure when using an AI bot on WhatsApp?+

WhatsApp messages are protected by end-to-end encryption, ensuring secure transit between the employee and the business API. When using CloudClaw, your knowledge base is isolated, and you can select enterprise models via OpenRouter that explicitly do not train on your API data.

Can the bot integrate with our existing HRIS like Gusto or Workday?+

Yes, you can configure the bot to trigger webhooks or API calls to your HR Information System. This allows the bot to securely fetch personalized, real-time data like an employee's exact PTO balance or next payday.

How much does it cost to run an HR bot on WhatsApp?+

Costs include Meta's per-conversation pricing, your chosen AI model's token usage, and your CloudClaw subscription. For a company of 100 employees, this typically averages under 50 dollars per month, saving thousands of dollars in administrative hours.

Do I need a developer to set up the WhatsApp Business API?+

No developer is required if you use a deployment platform like CloudClaw. You simply generate the keys in your Meta Business Manager, paste them into the dashboard, and the platform automatically handles the complex webhook infrastructure.

What happens if the AI does not know the answer to a policy question?+

If configured correctly with Retrieval-Augmented Generation, the AI will recognize when the information is missing from its uploaded knowledge base. It will politely inform the employee that it does not have the answer and provide the direct contact details for the HR department.

Automate Your HR Workflows in Minutes

Deploy an intelligent HR assistant on WhatsApp with CloudClaw. No servers, no DevOps, just seamless employee support.

Deploy Now — 60 Seconds