Teammates.ai

What exactly are AI teammates?

AI Teammates are autonomous digital colleagues that own entire business functions. Raya handles customer service across phone, email, chat, and social. Adam manages sales outreach and lead qualification. Sara conducts live video interviews and scores candidates. Each operates 24/7 in 50+ languages, makes independent decisions, and completes workflows end-to-end without constant supervision.

What is the difference between an AI teammate and a chatbot?

Chatbots answer scripted FAQs. AI teammates own workflows. Raya doesn't just respond to questions — she processes refunds, looks up orders, and escalates with full context. Adam doesn't just reply to leads — he makes voice calls, books meetings, and updates your CRM. Sara doesn't just schedule interviews — she conducts them, scores candidates, and ranks your applicant pool. Each is a network of specialized agents working together autonomously.

How do AI teammates differ from ChatGPT and LLMs?

ChatGPT waits for prompts and gives answers. AI teammates take initiative and complete work. They integrate with your CRM, helpdesk, and calendar — then act inside those systems autonomously. They remember context across conversations, follow your business rules, and continuously improve from feedback. ChatGPT assists; AI teammates deliver outcomes.

How does an AI customer service agent automate support?

Raya resolves customer issues across phone, email, chat, WhatsApp, and social media in 50+ languages. She's not a FAQ bot — she processes refunds, updates orders, looks up account details, and only escalates issues that genuinely need human judgment. Your team gets full context when they pick up, so customers never repeat themselves.

What tasks can an AI sales agent automate?

Adam handles inbound and outbound sales, 24/7. He responds to website leads within seconds, makes outbound calls to cold prospects, qualifies leads through conversation, books meetings on your team's calendar, and updates your CRM automatically. Think of an SDR who works every timezone, never misses a follow-up, and hands your closers only qualified opportunities.

How does an AI interviewer screen candidates?

Sara conducts live video interviews with natural voice conversation with every candidate in 50+ languages. She asks role-specific questions, follows up based on answers, and scores each response against your custom rubric. Results include ranked candidate lists, per-question breakdowns, and hire/no-hire recommendations. Your recruiters review structured reports instead of sitting through first-round screens.

How long does it take to deploy AI teammates?

Under 10 minutes for basic setup. OAuth connects your tools instantly, our models are pre-trained, and core workflows activate immediately. Most teams are handling real customer interactions, sales calls, or candidate interviews within an hour of signing up. Advanced customization happens over your first week as you refine escalation rules, add playbooks, and train on your specific use cases.

How much do AI teammates cost vs human employees?

Credit-based pricing starts at $25/month for 50 credits on the Pro plan. Credits are shared across all three teammates: 10 credits = 1 Sara interview = 100 Raya responses = 30 Adam voice minutes. Free plan includes 10 credits/month. Scale plan ($100/month) includes 200 credits. Enterprise gets custom volume. No per-seat fees, no setup costs.