Start freeTrain AI employees on your business, connect approved tools, and deploy them across web, phone, Slack, and WhatsApp.
Start with one workflow. Scale what works.
How Aivah works
Define one repeat workflow and its handoff rules.
Add approved knowledge, channels, and tools.
Launch, review performance, and improve.
Built for the moments teams miss
Aivah captures the question, contact details, language, and next step while the customer is still active.
Preferences, notes, call outcomes, and workflow history stay attached across every channel.
Summaries, tool actions, and escalation rules keep humans in control when the workflow needs them.
What is an AI employee?
Trained on your documents, websites, videos, slides, images, audio, and raw text.
Built for a job: sales, support, onboarding, training, phone, content, or operations.
Available through chat, voice, avatar, public links, iframes, phone, Slack, and WhatsApp.
Connected through MCP and custom servers so it can work with authorized systems.
Stores and surfaces useful customer context when memory is enabled.
Tracked through conversations, leads, calls, transcripts, quizzes, usage, and insights.
AI employee roster
Available 24/7Qualifies visitors, asks discovery questions, explains the offer, captures contact details, and prepares the next step.
Inside the platform
Not another chatbot
Aivah can speak, present, remember, capture leads, connect to tools, and support work across channels.
Aivah employees can become website embeds, voice assistants, phone agents, public links, Slack assistants, WhatsApp assistants, and presentation guides.
Agents are trained on your approved content and can connect to authorized tools through MCP and custom servers.
Workflows in practice
A buyer opens a listing at 11:47 pm. Aivah answers, qualifies budget and timing, captures contact details, and books a Saturday showing before the agent wakes up.
For enterprise buyers
Answer, qualify, and capture intent after hours, during campaign spikes, and across high-volume website or phone traffic.
Move common sales, support, onboarding, and training questions into managed AI employees trained on approved source material.
Give customers a useful first answer immediately, then route context to the right human, tool, or next step.
Review conversations, leads, calls, transcripts, quiz results, usage, and workflow performance instead of guessing what happened.
Enterprise teams need to know what data is used, what systems are connected, who handles exceptions, and how performance is reviewed.
Capabilities in practice
Create branded AI employees, 3D avatars, and live characters that feel consistent wherever your customers meet them.
Aivah can answer, call back, qualify, summarize, and hand off through web, phone, Slack, WhatsApp, and embedded chat.
Memory, scheduled tasks, and approved tool actions can stay connected after the conversation ends.
FAQ
Aivah is an AI Employee Platform that turns business content into role-based agents that can chat, speak, present, publish to the web, connect to tools, and work across channels.
No. Aivah includes chat, but it also supports realtime voice, avatars, image characters, public embeds, lead capture, phone agents, Slack, WhatsApp, MCP tools, productivity generation, analytics, memory, and tasks.
Yes. The strongest path is to choose one repeat workflow, approve the source material, define handoff rules, deploy to one or two channels, and measure results before expanding.
Use the enterprise conversation to review data handling, retention expectations, access needs, tool boundaries, escalation rules, and any procurement or compliance requirements before launch.
Yes. Aivah employees can be scoped around selected knowledge, channels, MCP tools, custom servers, authentication methods, and workflow boundaries.
Choose one repeat workflow, define the outcome, and launch with clear knowledge, permissions, and handoffs.
Or email aivah@opinionai.ai with the workflow, channel, and outcome you want to test.
