AI employees.Repeat work.Hire AIemployeesthat work 24/7

24/7AI employees at work

Train AI employees on your business, connect approved tools, and deploy them across web, phone, Slack, and WhatsApp.

Start with one workflow. Scale what works.

PromptHey Aivah, book the showing
Lead capturedSaturday showing bookedCalendar MCP

Aivah at work

One employee. One connected operating loop.

Conversations, approved knowledge, tool actions, and handoffs stay connected across every customer touchpoint.
01 · New inquiryQualified in ArabicWebsite to sales handoff
02 · Customer callSummary savedVoice to shared context
03 · Support requestAnswer groundedApproved knowledge used
04 · Next actionFollow-up preparedCRM and calendar connected
Approved knowledge Permissioned tools Shared memory Human handoff

AI employee roster

Choose the first role you want Aivah to own.

Preview the job, channels, and outcome. Start with one role, train it on approved knowledge, then expand when the workflow proves itself.
AI Support Employee personaAvailable 24/7
Featured roleSupport

AI Support Employee

Answers customer questions from help docs, product content, policies, videos, and support material before tickets pile up.

OutcomeGive every customer an instant first response.
Help CenterSlackWhatsApp
Explore this role
01KnowledgeTrained on your documents, websites, videos, slides, images, audio, and raw text.
02RoleBuilt for a job: sales, support, onboarding, training, phone, content, or operations.
03PresenceAvailable through chat, voice, avatar, public links, iframes, phone, Slack, and WhatsApp.
04ToolsConnected through MCP and custom servers so it can work with authorized systems.
05MemoryStores and surfaces useful customer context when memory is enabled.
06ManagementTracked through conversations, leads, calls, transcripts, quizzes, usage, and insights.

How Aivah works

Your next employee will not need a desk.

Choose the role, train it on approved knowledge, and deploy it where your customers and team already work.
01

Choose a role

Define one repeat workflow and its handoff rules.

02

Train and connect

Add approved knowledge, channels, and tools.

03

Deploy and measure

Launch, review performance, and improve.

See how Aivah works

Inside the platform

The real workspace behind every Aivah employee.

Choose the model, character, voice, knowledge, and approved tools in one operating workspace, then review what happens after launch.
AI workspaceModels, agents, characters, voice, and files
Aivah workspace with the supported model picker open
Live charactersRealtime visual conversations
Aivah realtime live character conversation
Connected toolsApproved MCP integrations
Aivah MCP tool connection catalogue

Capabilities in practice

What customers experience

Branded presence01

Looks like someone your customers can know

Create branded AI employees, 3D avatars, and live characters that feel consistent wherever your customers meet them.

3D avatarsLive charactersWeb
Every channel02

Bring them with you on every call

Aivah can answer, call back, qualify, summarize, and hand off through web, phone, Slack, WhatsApp, and embedded chat.

VoiceWhatsAppPhone
Memory + action03

Sends the right follow-up because it remembers

Memory, scheduled tasks, and approved tool actions can stay connected after the conversation ends.

CRMCalendarMCP tools
Web chatVoiceTelephony3D avatarsLive charactersSlackWhatsAppMCP toolsCustom MCP servers

Aivah Coding

One brief. A working product you can inspect.

Design the interface, review the live application, open the code, connect the backend, and publish from the same Aivah workspace.Explore Aivah Coding
Product briefBuild a multilingual customer portal with onboarding, account health, and AI support.Design · Preview · Code · Backend
aivah codingCurrent product workspace
Live product screens
Current Aivah Code design workspace with prompt, Figma import, model selector, sandboxes, and projects
01 / Start with an ideaDescribe the product you want to create.Start with a prompt, attach visual references or a Figma frame, and select the model for the build.
  • Prompt
  • Figma
  • Grok 4.5

One workspace, multiple models

Choose the right intelligence without rebuilding the work.

Use supported leading models inside Aivah instead of managing each experience in isolation. Your employee setup, knowledge, tools, memory, channels, and review stay connected in one operating context.
Separate model toolsMore accounts. Repeated setup. Fragmented context.
Inside AivahFlexible choice. Shared context. One workspace.
Model workspaceChoose per task
OpenAI
Anthropic
Gemini
Grok
Cerebras
Aivah
Shared Aivah contextOne workspace for the complete employee.
Employees Tools Memory Review

Workflows in practice

See Aivah move real work forward.

Explore illustrative scenarios where an AI employee responds, takes action, and keeps the next step moving.
Illustrative scenarioReal estate

Booked at midnight.

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.

Try the live demoExplore use cases

For enterprise buyers

Prove one workflow before you scale the AI workforce.

Aivah should enter a business through a controlled pilot: approved knowledge, clear tool access, measurable outcomes, and a handoff path your team can trust.
24/7

Recover missed demand

Answer, qualify, and capture intent after hours, during campaign spikes, and across high-volume website or phone traffic.

Less manual triage

Reduce repeat team work

Move common sales, support, onboarding, and training questions into managed AI employees trained on approved source material.

Instant first response

Shorten time to response

Give customers a useful first answer immediately, then route context to the right human, tool, or next step.

Operational visibility

Make AI measurable

Review conversations, leads, calls, transcripts, quiz results, usage, and workflow performance instead of guessing what happened.

Trust path

Answer security, rollout, and procurement questions early.

Enterprise teams need to know what data is used, what systems are connected, who handles exceptions, and how performance is reviewed.

Security review ready
Data boundariesStart from approved knowledge sources, define what each AI employee can answer, and keep rollout scope clear.
Permissioned toolsConnect tools intentionally with OAuth, API keys, bearer tokens, custom headers, or scoped MCP servers.
Human handoffDesign the moments where Aivah should collect context, summarize, and route the conversation to your team.
Monitoring and logsUse conversations, leads, calls, transcriptions, usage, and agent-level insights to review quality and performance.
Security reviewUse the enterprise conversation to review data handling, retention, access, procurement, and compliance expectations.
Pilot-first rolloutLaunch one contained workflow first, prove the operating model, then expand into more roles and channels.

Latest from Aivah

Practical thinking for teams putting AI to work.

Read all articles

FAQ

Before you hire your first AI employee.

Aivah starts with one repeat workflow, then expands into channels, tools, memory, and measurable operations.
01What is Aivah?

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.

02Is Aivah just a chatbot?

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.

03Can enterprise teams start with a controlled pilot?

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.

04How should security and procurement be reviewed?

Use the enterprise conversation to review data handling, retention expectations, access needs, tool boundaries, escalation rules, and any procurement or compliance requirements before launch.

05Can we limit what tools an AI employee can use?

Yes. Aivah employees can be scoped around selected knowledge, channels, MCP tools, custom servers, authentication methods, and workflow boundaries.

Pilot brief Ready
AI employee roleCustomer intake coordinator
3 tools connected
WorkflowQualify and route
ChannelsWeb and WhatsApp
HandoffSales team
MeasureQualified leads
Knowledge, channels, and handoffs defined

Plan your first AI employee pilot

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.