Deploy autonomous AI workers that handle customer service, sales, operations, and back-office tasks 24/7. Scales with your business.
Transform your business operations with AI employees that work around the clock
Cut customer service costs by 70% and back-office expenses by 60%. AI employees handle unlimited conversations simultaneously without overtime or benefits.
Handle 10x more customers without hiring. Deploy new AI employees in minutes, not months. Scale up during peak seasons and scale down when needed.
Never miss a lead. AI sales agents qualify prospects 24/7, schedule meetings automatically, and nurture leads through personalized follow-ups across all channels.
Instant responses in 100+ languages. Consistent service quality. Context-aware conversations that remember customer history and preferences.
No coding required. Visual workflow builder makes it easy. Connect your existing tools (CDP,CRM, email, WhatsApp) and go live in days.
Real-time dashboards. Make data-driven decisions with AI-powered analytics.
From setup to deployment in three simple steps
Link your CRM, customer database, knowledge base, and communication channels (CRM, CDP, WhatsApp, Email, SMS, Web Chat). Our platform automatically converts them into AI-ready formats. No technical expertise needed.
Use our visual drag-and-drop builder to create workflows. Choose from pre-built templates for sales, support, HR, or operations. Customize responses, and set business rules without writing code.
Launch your AI employees across all channels with one click. Monitor performance in real-time, track KPIs, and continuously improve with AI-powered suggestions. Your team can take over anytime.
Pre-trained for your industry, customized for your business. See real examples below.
Qualifies leads 24/7, schedules demos automatically, follows up with prospects, and updates your CRM in real-time across WhatsApp, Email, and SMS.
Handles unlimited queries simultaneously in 100+ languages. Resolves common issues instantly, escalates complex cases to humans with full context.
Tracks shipments, processes returns and refunds, sends proactive updates, and answers order questions 24/7 reducing support tickets by 80%.
Books appointments automatically, sends reminders, handles rescheduling, checks availability across calendars, and syncs with your scheduling software.
Answers billing questions, processes payments, sends invoices, handles subscription changes, and provides instant payment confirmation.
Answers employee questions about policies, leave, benefits, and payroll. Automates onboarding workflows and document collection.
Engages property inquiries, qualifies by budget and preferences, schedules site visits, sends brochures, and updates CRM with insights.
Segments audiences, personalizes content, optimizes send times, tracks engagement, and automatically adjusts campaigns based on performance.
Extracts data from invoices, receipts, and forms. Validates information, routes for approval, and syncs with your accounting software automatically.
Monitors transactions in real-time, flags suspicious patterns, verifies identities, freezes accounts when needed, and generates compliance reports.
Analyzes usage patterns, recommends optimal plans, processes upgrades, handles SIM activations, and resolves billing queries instantly.
Collects documents, verifies income and credit, calculates risk scores, checks fraud indicators, and routes applications for approval automatically.
A/B tests creatives, analyzes funnels, adjusts bidding in real-time, segments audiences dynamically, and recommends budget allocation.
Predicts churn risk, triggers personalized retention offers, manages win-back campaigns, analyzes sentiment, and measures lifetime value.
Optimizes delivery routes, assigns drivers dynamically, sends ETAs, monitors fuel consumption, and generates performance reports.
Takes reservations via phone/WhatsApp/web, manages tables, sends confirmations, handles special requests, and collects feedback.
Analyzes contracts, flags risky terms, compares against templates, extracts key dates, and generates review summaries for legal teams.
Monitors production data, detects anomalies, predicts equipment failures, triggers maintenance alerts, and generates compliance certificates.
Researches destinations, compares prices, creates itineraries, books tickets through APIs, sends travel docs, and provides real-time alerts.
Analyzes risk tolerance, recommends portfolios, monitors markets, rebalances automatically, sends tax alerts, and generates performance reports.
Validates claim documents, checks coverage, detects fraud, calculates settlements, coordinates with adjusters, and updates customers.
Generates platform-specific content, optimizes posting times, A/B tests captions, monitors engagement, responds to comments, and creates reports.
Analyzes viewer patterns, generates SEO titles, creates thumbnail variations, suggests optimal length, and identifies viral content patterns.
Customer: "Where is my order #12345?"
AI Agent: "Hi! I've located your order #12345. It's currently in transit and will arrive tomorrow by 5 PM. Here's your tracking link: [link]. Would you like me to send updates via SMS?"
💡 Behind the scenes: Agent connected to Shopify API, pulled order status, generated tracking link, offered proactive communication.
Lead via WhatsApp: "I'm interested in your CRM software for 50 users"
AI Agent: "Great! For 50 users, our Enterprise plan at $2,500/month would be perfect. It includes API access, priority support, and custom integrations. I can schedule a demo with our solutions architect. Are you available Tuesday at 2 PM or Thursday at 11 AM?"
💡 Behind the scenes: Qualified lead size, calculated pricing, checked calendar availability, sent meeting invite to sales rep.
Patient (SMS): "Need to see Dr. Sharma for checkup"
AI Agent: "I can help! Dr. Sharma has availability on Dec 10 at 10 AM or Dec 12 at 3 PM. Which works better? I'll send you a reminder 24 hours before and check if your insurance (Blue Cross) is active."
💡 Behind the scenes: Checked doctor's calendar in EMR, verified insurance eligibility, scheduled appointment, set reminder workflow.
System Alert: Unusual transaction detected: $5,000 purchase in Dubai (customer location: Mumbai)
AI Agent Action: Instantly sends SMS: "Did you authorize a $5,000 purchase at Dubai Mall? Reply YES or NO"
Customer: "NO"
AI Agent: "Your card has been frozen. We're issuing a new one (arrives in 3 days). Would you like to file a dispute now?"
💡 Behind the scenes: Real-time transaction monitoring, location anomaly detection, instant card freeze, dispute workflow initiation.
Lead (Web Chat): "Can you give me a quote for your Enterprise plan?"
AI Agent: "I see you're Sarah from Acme Corp! Based on your previous interaction last week about 200 users, I've prepared a custom quote: $12,000/year with priority support. I've also noticed your contract with our competitor expires in March. Would you like to schedule a call with our VP of Sales next Tuesday?"
💡 MCP Integration: Connected to Salesforce via MCP server - pulled contact history, company size, previous quotes, competitor intel from opportunity records, checked executive calendar availability.
Customer: "I can't access the API docs, getting 404 error"
AI Agent: "I see this is a known issue! Our engineering team is working on it (Slack: #incidents). Current ETA is 2 hours. Meanwhile, here's the cached version: [link]. I've also notified the on-call engineer about your specific use case."
💡 MCP Integration: Connected to Slack via MCP server - searched #incidents channel, found related thread, pulled ETA from engineers, posted customer issue to alert channel.
Manager (Email): "What were our top 5 products by revenue last month?"
AI Agent: "Here are your November top sellers:
1. Premium Widget - $245K (↑15%)
2. Enterprise Suite - $189K (↓5%)
3. Basic Plan - $156K (↑22%)
4. Add-on Pack - $98K (↑8%)
5. Training Services - $76K (↑31%)
Notable: Training Services showing strong growth. Full breakdown sent to your email."
💡 MCP Integration: Connected to Google Sheets via MCP server - queried sales data, calculated month-over-month changes, sorted by revenue, generated formatted report.
New Employee: "Where can I find the employee handbook?"
AI Agent: "Welcome to the team! I've shared the Employee Handbook with you: [Drive link]. I've also added you to the 'New Hires 2024' folder which includes: IT Setup Guide, Benefits Overview, Office Policies, and Org Chart. Your onboarding checklist is in there too - 5 items to complete by Friday."
💡 MCP Integration: Connected to Google Drive via MCP server - searched for handbook, granted file permissions, added user to shared folder, retrieved onboarding checklist status.
Customer (Email): "Following up on my refund request from last week"
AI Agent (Auto-reply): "Hi! I found your refund request from Dec 1st for order #98765 ($299). Good news - your refund was processed yesterday and should appear in your account within 3-5 business days. I've also found 2 previous emails from you about shipping - all resolved. Is there anything else I can help with?"
💡 MCP Integration: Connected to Gmail via MCP server - searched email history with customer, found refund thread, checked refund status in payment system, identified related conversations.
Developer (Slack): "Did the payment-service deployment complete?"
AI Agent: "Yes! payment-service v2.4.1 deployed to production 15 mins ago. Status: ✅ All checks passed. Performance: API latency down 20ms. I've created the release notes and posted to #engineering. FYI: There are 3 open PRs waiting for review in the same repo."
💡 MCP Integration: Connected to GitHub via MCP server - checked deployment status, retrieved commit logs, generated release notes, found open pull requests, cross-posted to Slack.
Customer: "The mobile app crashes when I try to export reports"
AI Agent: "Thanks for reporting! I've checked and this is a known issue (JIRA-4521) affecting iOS users on version 3.2. Our team is targeting a fix in tomorrow's release (v3.2.1). I've added your case to the ticket and you'll get an email when it's resolved. Meanwhile, you can export via web dashboard."
💡 MCP Integration: Connected to Jira via MCP server - searched for similar bug reports, found existing ticket, added customer comment, retrieved fix timeline, suggested workaround.
Watch multiple AI agents collaborate to solve complex business problems
Scenario: Fortune 500 company inquires about enterprise software
Agent 1 - Lead Qualifier: "Hi! I see you're from Microsoft. What's your team size?" → Collects: 500 users, $250K budget, needs by Q1
Agent 2 - Research Agent: Pulls company data from Salesforce + LinkedIn → Finds: Previous engagement in 2023, competitor contracts expiring, decision maker: Sarah Chen (VP Ops)
Agent 3 - Pricing Agent: Calculates custom quote: $180K/year (20% discount for enterprise), includes premium support, API access, dedicated account manager
Agent 4 - Calendar Agent: Checks Sarah Chen's availability via Google Calendar MCP → Books demo: Thursday 2 PM PST, sends calendar invite with Zoom link
Agent 5 - CRM Coordinator: Creates opportunity in Salesforce, assigns to Account Executive John Smith, triggers email sequence, sets follow-up reminders
⚡ Time to complete: 45 seconds | MCP Servers used: Salesforce, LinkedIn, Google Calendar, Gmail | Result: Qualified lead, custom pricing, booked demo, CRM updated
Scenario: Premium customer reports service outage affecting production
Agent 1 - Triage Agent: Customer: "Our checkout is down, losing $10K/min!" → Detects: Severity = Critical, Customer Tier = Enterprise, SLA = 15min response
Agent 2 - Technical Diagnostic: Checks system status via APIs → Finds: Payment gateway timeout (external), affects 12 customers, incident #INC-9876 already open
Agent 3 - Communication Agent: Sends instant SMS to customer + email with incident details + posts to status page → Searches Slack #incidents via MCP → Finds engineers already working, ETA 10 minutes
Agent 4 - Escalation Coordinator: Creates P1 ticket in Jira, pages on-call engineer, notifies account manager, schedules post-incident review, sends proactive update every 5 minutes
⚡ Response time: 22 seconds | MCP Servers used: Slack, Jira, PagerDuty, Status Page API | Result: Customer informed, engineers alerted, ticket created, proactive updates sent
Scenario: CFO asks: "What's our CAC vs LTV by channel for Q4?"
Agent 1 - Data Collector: Queries Google Sheets (marketing spend), Salesforce (revenue by channel), Stripe (actual payments) → Pulls Q4 data: Organic, Paid Ads, Referral, Events
Agent 2 - Analytics Agent: Calculates metrics:
• Organic: CAC $120, LTV $3,200 (Ratio 26.7:1) ✅
• Paid Ads: CAC $450, LTV $2,800 (Ratio 6.2:1) ⚠️
• Referral: CAC $80, LTV $4,100 (Ratio 51.3:1) ✅✅
• Events: CAC $890, LTV $5,200 (Ratio 5.8:1) ⚠️
Agent 3 - Report Generator: Creates visual dashboard with charts, sends PDF to CFO's email, posts summary to #finance Slack channel, saves to Google Drive with permissions
⚡ Processing time: 3.5 minutes | MCP Servers used: Google Sheets, Salesforce, Stripe, Gmail, Slack, Drive | Result: Comprehensive analysis, actionable insights, executive-ready report
Scenario: Production line detects defect spike in Widget Assembly
Agent 1 - Sensor Monitor: IoT sensors detect 15% defect rate (normal: 2%) on Line 3, Batch #A4457
Agent 2 - Root Cause Analyzer: Queries production database → Finds: New supplier material started 2 hours ago (Supplier: TechParts Inc, Material: Steel Grade 304L)
Agent 3 - Inventory Agent: Checks stock via ERP MCP → Isolates: 5,000 units of suspect material in warehouse, holds shipment, flags for inspection
Agent 4 - Alert Coordinator: Sends SMS to QA Manager + Production Supervisor, posts to #production Slack, creates incident in Jira with photos and data
Agent 5 - Supplier Agent: Auto-generates email to TechParts Inc with defect report, requests material certification, initiates RMA process
Agent 6 - Documentation Agent: Logs incident in quality system, generates non-conformance report (NCR), updates ISO audit trail, schedules corrective action meeting
⚡ Detection to action: 38 seconds | MCP Servers used: IoT Platform, ERP (SAP), Slack, Jira, Gmail | Result: Defect isolated, shipment held, supplier notified, full documentation trail
Works with Model Context Protocol and leading agentic frameworks. Deployed on your infrastructure with full control.
Built on MCP standard. Works with Claude, GPT-4, Gemini, Llama, or any MCP-native model.
Platform automatically converts REST APIs, GraphQL, databases to MCP servers with testing and deployment.
Multiple AI agents collaborate, share context, and delegate tasks seamlessly across your organization.
Integrates with Salesforce, HubSpot, Zendesk, WhatsApp, Gmail, Slack, and 1000+ apps.
Auto-scaling, load balancing, high availability. Deploy on AWS, GCP, Azure, or on-premises.
Monitor agent performance, token usage, API costs, error rates. Custom dashboards and alerts.
Drag-and-drop interface for complex workflows. Decision trees, parallel execution, conditional logic.
Join hundreds of businesses reducing costs and scaling operations with AI employees