Chatbots & Automation
AI-powered conversations that handle support, sales, and service
Beyond Rule-Based Chatbots
First-generation chatbots followed rigid decision trees: if the customer says X, respond with Y. They handled simple FAQs but failed at anything that required understanding context, nuance, or intent. Customers hated them because they felt like navigating a phone tree — rigid, slow, and impersonal.
Bird's AI chatbots use large language models trained on your specific business data — products, policies, customer history, and past support conversations. They understand natural language, maintain conversation context across multiple exchanges, and handle the unexpected questions and edge cases that rule-based bots can't.
The result: 85% automated resolution rate for customer service inquiries. Not 85% deflection (where the bot gives an unhelpful answer and the customer gives up). 85% genuine resolution — the customer's issue is actually solved.
Customer Service Automation
The AI chatbot handles the full spectrum of customer service interactions: order status inquiries, return initiation, account changes, billing questions, product information, and troubleshooting. It accesses your backend systems in real time — checking order status, processing returns, updating account details — and takes action, not just providing information.
When the bot encounters an issue it can't resolve — complex complaints, edge cases, emotionally charged situations — it escalates to a human agent with full conversation context. The agent sees the entire bot conversation, the customer's profile, and the bot's recommended resolution, enabling them to pick up seamlessly without asking the customer to repeat anything.
The bot learns from agent resolutions. When an agent handles an escalated issue, the resolution becomes training data for the bot, gradually expanding the range of issues it can handle autonomously.
Natural Language Understanding. LLM-powered intent recognition that understands customer requests in natural language, including typos and colloquialisms.
Backend Integration. Real-time access to order management, CRM, billing, and inventory systems to take action — not just answer questions.
Smart Escalation. Seamless handoff to human agents with full conversation context, customer profile, and suggested resolution.
Sales & Lead Qualification
AI chatbots on your website and WhatsApp channel can qualify leads, answer product questions, and guide prospects through the purchase journey — 24/7, in any language.
The sales bot engages website visitors based on their behavior: a visitor who's viewed the pricing page three times gets a proactive 'Can I help you find the right plan?' A visitor browsing a specific product category gets personalized recommendations. A visitor from a target account gets routed to the sales team with full context.
Lead qualification happens conversationally. The bot asks qualifying questions naturally, scores leads based on responses and behavioral data, and routes high-value leads to sales reps with a summary of the conversation and the prospect's needs. This replaces static lead forms that capture information but lose context.
Proactive Engagement. Behavior-triggered conversations that engage high-intent visitors before they leave.
Conversational Lead Scoring. AI qualifies leads through natural conversation and routes hot leads to sales with full context.
Product Recommendation Engine. AI suggests products based on the prospect's stated needs, browsing behavior, and similar customer profiles.
Workflow Automation
Beyond conversational AI, Bird's automation engine handles backend workflows that previously required manual intervention. Trigger-based actions fire when customers perform specific actions or meet specific conditions.
Examples: when a customer's subscription is about to expire, automatically send a renewal reminder with a one-click renewal link. When a support ticket has been open for 48 hours without resolution, escalate to a supervisor and notify the customer. When a new lead matches your ideal customer profile, create a CRM record, assign to a sales rep, and trigger a personalized welcome sequence.
The automation builder is visual and no-code — marketers and support managers can create complex multi-step workflows without engineering support. For advanced use cases, the API supports custom logic and integration with any internal system.
Visual Flow Builder. Drag-and-drop automation builder for multi-step workflows — no code required.
Event-Driven Triggers. Trigger actions based on customer behavior, time-based rules, or data changes in connected systems.
Cross-Channel Orchestration. Coordinate automated actions across email, SMS, WhatsApp, and internal systems in a single workflow.
E-commerce platform
“Our AI chatbot resolves 87% of customer inquiries without human intervention. The remaining 13% get seamless handoff to agents who have full context. Support costs dropped 60%.”
Consumer electronics brand
“The WhatsApp chatbot handles product questions, processes returns, and even closes sales. It's like having 100 extra team members who never sleep.”
Frequently asked questions
Bird's chatbots use large language models trained on your specific business data — products, policies, customer history, and past support conversations. They understand natural language, maintain conversation context across multiple exchanges, and handle unexpected questions that rule-based bots can't. The result is 85% genuine resolution, not just deflection.
Most businesses deploy their first chatbot within 1 to 2 weeks. Bird's no-code flow builder lets you create conversational flows visually, and the AI can be trained on your knowledge base and product catalog through a simple import. Advanced integrations with backend systems (CRM, order management, billing) typically add another 1 to 2 weeks.
Bird's smart escalation passes the full conversation context, customer profile, and suggested resolution to a human agent. The agent picks up seamlessly without asking the customer to repeat anything. Over time, the bot learns from agent resolutions — when an agent handles an escalated issue, the resolution becomes training data for the bot, gradually expanding its autonomous capabilities.
Yes. Sales bots engage website visitors based on behavior (pricing page views, product browsing), ask qualifying questions conversationally, and route high-value leads to sales reps with full context. This replaces static lead forms and captures 3x more qualified leads by engaging prospects at the moment of highest intent.
No. Bird's visual flow builder is designed for marketers and support managers to create multi-step workflows without code. Drag-and-drop triggers, conditions, and actions let you build complex automations in minutes. For advanced use cases, the API supports custom logic and integration with any internal system — but most teams never need it.