WhatsApp AI Agent — Automate Replies with AI
Build a WhatsApp AI agent that understands customer questions and responds intelligently. Knowledge base setup, human handoff, and goal-driven conversations.
Published March 29, 2026
A WhatsApp AI agent goes beyond scripted chatbots. Instead of matching keywords to pre-written responses, it understands the meaning behind messages and generates contextual replies using your business knowledge base. When it cannot help, it hands off to a human agent.
How WhatsApp AI Agents Work
Traditional chatbots use keyword matching: if the message contains "pricing", send the pricing response. AI agents use language models to understand intent:
- "How much does this cost?" → understands pricing intent
- "Is this expensive?" → understands pricing intent
- "What are your rates?" → understands pricing intent
- "Can I afford this on a student budget?" → understands pricing intent + budget constraint
The AI agent gives a relevant answer to all four, personalized to the context. A keyword bot only catches the first one (if "cost" is a keyword).
Setting Up a WhatsApp AI Agent in SociaHive
Step 1: Build Your Knowledge Base
Go to AI Settings > Knowledge Base and add your business information:
- Manual entries: Type your FAQ, pricing, services, policies
- URL scraping: Paste your website URL and SociaHive scrapes the content automatically
- Re-scrape: When your website updates, re-scrape to keep the knowledge base current
The AI uses this knowledge base to answer questions. The more complete it is, the better the AI performs.
Step 2: Configure AI Replies
Enable AI Replies for your WhatsApp channel:
- Tone: Choose professional, casual, friendly, or formal
- Language: Set the default reply language
- Confidence threshold: Set how confident the AI must be before responding (lower = more responses, higher = fewer but more accurate)
- Handoff trigger: Define when to hand off to a human (e.g., if the AI confidence is below 60%)
Step 3: Set AI Goals
AI Goals drive conversations toward specific outcomes:
| Goal Type | What It Does |
|---|---|
| Send link | Guides conversation toward sharing a specific URL |
| Collect email | Naturally asks for and captures email address |
| Collect phone | Gets phone number for follow-up |
| Qualify lead | Asks qualifying questions and scores the lead |
| Book appointment | Guides to booking a time slot |
| Ask follow | Encourages the user to follow on Instagram |
The AI agent pursues the goal naturally within the conversation, not as a forced script.
Step 4: Configure Human Handoff
Not every conversation should be handled by AI. Configure handoff rules:
- AI confidence below threshold → hand off
- Customer explicitly asks for human → hand off
- Sensitive topics (complaints, refunds) → hand off
- High-value leads (based on qualifying questions) → hand off to sales
When handoff triggers, the conversation appears in the AI Inbox for your team to pick up.
AI Agent vs Chatbot Flow — When to Use Each
| Scenario | Use AI Agent | Use Chatbot Flow |
|---|---|---|
| FAQ with unpredictable phrasing | Yes | No |
| Structured data collection | No | Yes |
| Free-form customer support | Yes | No |
| Step-by-step booking process | No | Yes |
| Product recommendations | Yes | No |
| Lead qualification | Both work | Both work |
Cost
AI replies cost 5 AI credits per interaction. AI goals cost 5 credits per interaction. AI intent classification costs 1 credit.
| Plan | Monthly AI Credits | AI Conversations/Month |
|---|---|---|
| Starter ($29) | 500 | ~100 |
| Scale ($99) | 3,000 | ~600 |
| Agency ($199) | 10,000 | ~2,000 |
Additional credits: $15 for 2,000 credits.
Frequently Asked Questions
Can AI fully replace human agents on WhatsApp?
For FAQ and routine inquiries (60-80% of messages), yes. For complex issues, complaints, and high-value sales conversations, human agents are still better. The best setup uses AI for first response and handoff for everything else.
How accurate is the AI agent?
Accuracy depends on your knowledge base quality. With a comprehensive knowledge base, SociaHive's AI agent resolves 70-85% of customer inquiries without human intervention. Edge cases and ambiguous questions are handed off.
Does the AI agent work in multiple languages?
Yes. The underlying language model supports 50+ languages. The AI detects the customer's language and responds accordingly. You can also set a default language.
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