An AI agent is a digital teammate that reads company context, follows guardrails, uses approved tools, and hands work to people when judgment is required.

How does WisebotAI work?

Teams create agents, connect channels and tools, ground responses in approved knowledge, and use visual workflows for repeatable business processes.

Can WisebotAI integrate with existing tools?

WisebotAI connects with common business systems and supports custom API or MCP-based integrations for company-specific workflows.

The enterprise agent layerThe enterprise agent layer for your company

Build AI agents, workflows, and generations for every team.From first question to finished work.

Create agents and workflows with AI, manage them from one workspace, and generate PDFs, decks, code, and more through serverless sandboxes — on GPT, Claude, or open models like Qwen.

Free to start
No credit card required

See how it works

Enterprise-ready from day one

Encrypted in transit and at restBusiness-grade encryption with access controls and vendor review.
Your data stays yoursYou choose the models; your content never trains third-party foundation models.
Humans stay in the loopRoute high-risk decisions to people with full context and approval records.

Security-first controls•Encrypted in transit and at rest•Security & controls•Privacy policy

Why we built WisebotAI

Company AI should run like infrastructure
not scattered prompts and disconnected bots.

Most companies still run AI in silos: one bot per team, duplicated prompts, and zero shared memory. The next generation runs on shared company context—across channels, tools, and workflows.

WisebotAI is that enterprise agent layer: AI drafts agents and workflows, you manage them from one workspace, and serverless sandboxes turn prompts into PDFs, decks, and code—with GPT, Claude, and an expanding open-model path on GPU.

Let agents handle repeatable work. Keep humans on decisions that need judgment, accountability, and trust.

How it works

From first agent to live workflow in one guided path

Go from a blank workspace to a production agent in five steps: create with AI, ground it in trusted knowledge, connect channels and tools, route edge cases to people, and generate auditable artifacts—with usage analytics built in.

Start free Book a demo

Create the agent with AI
Describe the job in plain language and AI drafts the agent—prompts, tools, and workflow steps you refine before publish.
Ground it in company knowledge
Add docs, web pages, policies, and FAQs so answers cite the source your team trusts.
Connect channels and tools
Publish to chat, email, WhatsApp, Slack, or voice, then connect CRM and back-office systems.
Route work with control
Use visual workflows for approvals, handoffs, and business actions that need an audit trail.
Generate and manage output
Ship PDFs, slide decks, and code from the playground. Track usage by source and control who can run each agent.

Everything an agent needs to do real work

Answer customers, search your knowledge, train agents, run workflows, track results, and talk over voice or live avatar video — the same agents, shared by support, sales, and ops.

Agent Active

Summarize our enterprise plan for a prospect in EMEA.

Thinking...

Here is a concise summary with policy citations and next steps for the prospect...

8 citationspolicy safe

Models per agent, routed by profile

GPT-5.4 and Claude Sonnet per agent, with profile routing for planner, vision, code, and artifact steps—and an expanding path to Gemini and fine-tunes on serverless GPU.

Every channel, one thread

Every channel, same thread

Prospects and customers move between web, email, and messaging without repeating themselves—sales and support see one timeline. Add voice when your team is ready.

Knowledge to answer. Tools to act.

Connect your docs and apps, then let agents search, decide, and do the work — in a secure environment we built for real production tasks.

Knowledge

Upload files, crawl sites, connect sources. Agents search your Knowledge before they answer.

Tools

Turn on Tools — search, bookings, integrations, and your own APIs. One agent, many actions.

Built-in environment

A secure build environment runs code, browses the web, and produces sites, PDFs, and decks — without you provisioning servers.

Customer asks in chat → agent searches Knowledge
Agent uses Tools (CRM, calendar, integration)
Agent produces a live preview of a site or document

Integrations and connectors

SalesforceHubSpotZendeskJiraIntercomServiceNowLinearAsanaGitLabMicrosoft 365Google WorkspaceSnowflakeBigQueryPostgresNotionYour stack

Run code from workflows — Python, Node, or shell
Browse and automate — open pages, run steps, capture results
Ship outputs — websites, PDFs, presentations, exports

Create · Manage · Generate

AI-powered creation, management, and generation on one stack

Build agents and workflows with AI, operate them from a single workspace, and route inference through managed APIs, serverless sandboxes, and—where you need it—open models on GPU.

Create with AI

Describe agents and workflows in plain language. AI drafts prompts, tool wiring, and workflow graphs you can edit before publish.

Manage in one workspace

Playground testing, per-agent model picks, knowledge scopes, member access, analytics, and usage attribution—one operating layer for every team.

Generate finished work

Agents produce PDFs, slide decks, code, images, and structured outputs in sandboxed runtimes—with traces and artifacts your team can audit.

Model & compute layer

Managed LLMs

Live

GPT-5.4 and Claude Sonnet per agent, with profile routing for planner, vision, code, research, and artifact-writing steps.

GPT-5.4-mini
Claude Sonnet 4.6
Profile routing

Serverless sandboxes

Live

E2B-backed execution for code, browser crawl, desktop sessions, PDF/deck generation, MCP tools, and workflow nodes—no servers to babysit.

E2B code & desktop
MCP in sandbox
Workflow actions

Open models on GPU

Expanding

Modal serverless GPU workers for fine-tunes and private weights—same agent router and policies, your residency boundaries.

Modal API
Serverless GPU
Fine-tunes

Agent playground & shared linksWorkflow LLM + E2B nodesUsage & cost by source

How each function ships

UI + SDK

Frontline teams ship in the UI,
engineering meets them in code.

Support, sales, and operations configure channels, knowledge, and tone where business users already work. Platform and product engineering version agents, tools, and guardrails in TypeScript or Python and deploy through the same APIs the dashboard uses—one source of truth for every function.

Support and CX tune agents, escalation paths, and channel maps
Sales and success reuse the same knowledge and handoff threads
Ops publishes playbooks and guardrails every agent must follow
Engineers deploy updates via API or CI without forked prompts

Explore documentation

release-ops-agent.ts

import { WisebotAI, Tools } from '@wisebotai/sdk';

const client = new WisebotAI({

apiKey: process.env.WISEBOTAI_API_KEY,

baseUrl: process.env.WISEBOTAI_BASE_URL,

});

// Upload + attach by filename — no file ids

await client.knowledge.upload({

file: policyPdf,

filename: 'refund-policy.pdf',

});

await client.agents.create({

name: 'Release-Ops-Agent',

model: 'gpt-5.4-mini',

tools: [

Tools.KnowledgeBase({ label: "refund-policy.pdf" }),
Tools.Connector({ provider: "github" }), // MCP get_commit_history

]

});

Omnichannel

Meet customers on every channel they use

One conversation timeline across web, messaging, email, voice, and live avatar video. Customers stop repeating themselves, and your team sees the same grounded answers on every surface you publish.

See channels in Features Channels architecture in docs →

Automations

AI-powered workflows your team can read

Describe what you need and AI builds the workflow—then edit any step in plain language on a drag-and-drop canvas. Triggers, AI steps, your tools, optional code, and handoffs stay visible instead of hiding in a black box. Go deeper in the workflows overview or examples.

Build with AI

Describe it · AI drafts the graph

Plain-language edits

Change a step, AI updates it

Starts & timers

Webhooks, API calls, scheduled runs

Business systems

REST + app connectors (Slack, Notion, …)

Code & web data

Optional code steps · site crawl

Smart branches

If / else paths, manager routing

workflows / intake_triage_published

v24 saved

PUBLISHED

Live run

Route A92%

1Trigger
Webhook start
POST …/workflows/trigger
2Classify
Classify + KB
LLM · manager
Branches
Route A
Route B
3Execute
Act
MCP · HTTP · E2B

10:42:05Run completed · output + log

Webhook start

POST …/workflows/trigger

Classify + KB

LLM · manager

Act

MCP · HTTP · E2B

10:42:05Run completed · output + log

Beyond the chatbot

How WisebotAI turns chats into finished work

A basic chatbot stops at an answer. WisebotAI keeps going — it acts in your systems and logs the proof.

One operating loop

Question — Answer — Action — Proof

Explore the product flow

Disclaimer. Illustrative product flow. Features and limits depend on your plan and setup. Legal terms: Terms, Privacy.

Six jobs teams hire WisebotAI for

Common adoption paths across support, sales, operations, engineering, and leadership.

Support lead

B2B SaaS team

Unify web, email, and messaging into one thread so agents answer from the same policy and hand off with full context.

Revenue operations

Pipeline-heavy sales org

Qualify inbound conversations, draft CRM notes, and route enterprise prospects before sales loses momentum.

Operations manager

Workflow-heavy services team

Turn repeat approvals, intake triage, and exception paths into readable workflows with a review trail.

Founder

Early-stage company

Start with one agent and grow into more channels without stitching together separate chat, knowledge, and automation tools.

Engineering team

Internal tooling group

Connect APIs and MCP tools while keeping model choice, citations, and handoff logic visible to the business.

Leadership

Multi-team organization

Track agent performance, conversation volume, and where humans still need to step in—from one shared view.

Support lead

B2B SaaS team

Unify web, email, and messaging into one thread so agents answer from the same policy and hand off with full context.

Revenue operations

Pipeline-heavy sales org

Qualify inbound conversations, draft CRM notes, and route enterprise prospects before sales loses momentum.

Operations manager

Workflow-heavy services team

Turn repeat approvals, intake triage, and exception paths into readable workflows with a review trail.

Founder

Early-stage company

Start with one agent and grow into more channels without stitching together separate chat, knowledge, and automation tools.

Engineering team

Internal tooling group

Connect APIs and MCP tools while keeping model choice, citations, and handoff logic visible to the business.

Leadership

Multi-team organization

Track agent performance, conversation volume, and where humans still need to step in—from one shared view.

Support lead

B2B SaaS team

Unify web, email, and messaging into one thread so agents answer from the same policy and hand off with full context.

Revenue operations

Pipeline-heavy sales org

Qualify inbound conversations, draft CRM notes, and route enterprise prospects before sales loses momentum.

Operations manager

Workflow-heavy services team

Turn repeat approvals, intake triage, and exception paths into readable workflows with a review trail.

Founder

Early-stage company

Start with one agent and grow into more channels without stitching together separate chat, knowledge, and automation tools.

Engineering team

Internal tooling group

Connect APIs and MCP tools while keeping model choice, citations, and handoff logic visible to the business.

Leadership

Multi-team organization

Track agent performance, conversation volume, and where humans still need to step in—from one shared view.

Support lead

B2B SaaS team

Unify web, email, and messaging into one thread so agents answer from the same policy and hand off with full context.

Revenue operations

Pipeline-heavy sales org

Qualify inbound conversations, draft CRM notes, and route enterprise prospects before sales loses momentum.

Operations manager

Workflow-heavy services team

Turn repeat approvals, intake triage, and exception paths into readable workflows with a review trail.

Founder

Early-stage company

Start with one agent and grow into more channels without stitching together separate chat, knowledge, and automation tools.

Engineering team

Internal tooling group

Connect APIs and MCP tools while keeping model choice, citations, and handoff logic visible to the business.

Leadership

Multi-team organization

Track agent performance, conversation volume, and where humans still need to step in—from one shared view.

Support lead

B2B SaaS team

Unify web, email, and messaging into one thread so agents answer from the same policy and hand off with full context.

Revenue operations

Pipeline-heavy sales org

Qualify inbound conversations, draft CRM notes, and route enterprise prospects before sales loses momentum.

Operations manager

Workflow-heavy services team

Turn repeat approvals, intake triage, and exception paths into readable workflows with a review trail.

Founder

Early-stage company

Start with one agent and grow into more channels without stitching together separate chat, knowledge, and automation tools.

Engineering team

Internal tooling group

Connect APIs and MCP tools while keeping model choice, citations, and handoff logic visible to the business.

Leadership

Multi-team organization

Track agent performance, conversation volume, and where humans still need to step in—from one shared view.

ROI calculator

See what you'd save
in year one

Estimate your annual savings if agents handle 60% of repetitive tier-one tickets — numbers you can take straight to finance.

Monthly Tickets5,000

50050k+

Cost per Ticket$8

$1$50+

Estimated annual savings (your assumptions)

$273,600

That's 57% of your support budget

Start free Book a demo

*Calculations based on 60% automation rate and industry standard AI processing costs.

Controls your security team can actually verify

Guardrails, approvals, and access rules ship with the product — not a slide deck.

Guardrails

Block topics and set response limits — policy is enforced, not just written in a prompt.

Approvals

Sensitive actions pause until your team approves.

IP access

Allow or block access by IP for widgets and API.

Review trail

Approval history and activity traces for every sensitive action.

Security & controls documentation →·See controls on a demo →

WisebotAI

Pricing that scales with your conversations

Start free with 50 AI replies and 10 knowledge documents—no credit card required.

Pricing is based on conversation volume, seats, active channels, and model usage. Exact billing and entitlements are managed in dashboard Billing.

Free

Trying one public-facing assistant

$0/mo

per month, billed annually

Perfect for individual users

1 AI agent
50 AI replies/mo
10 knowledge documents (agent memory)
5 build & automate actions/mo
Up to 8 agent actions per reply
Per-file limit: up to 2 MB · PDF, images, plain text
Basic Analytics
1 Active Channel
Community Support
1 seat included

Start free

Basic

Small teams proving one workflow

$29/mo

per month, billed annually

For solopreneurs and early startups

3 AI agents · 5 LLM providers
1,000 AI replies/mo
100 knowledge documents (agent memory)
100 build & automate actions/mo
100 premium AI credits/mo
Up to 10 agent actions per reply
Per-file limit: up to 10 MB · all formats incl. Word, Excel, PowerPoint
Up to 2 Active Channels
Remove-branding add-on available (+$29/mo)
Email Support
3 seats included

Get Basic

Startup

Growing teams running multiple channels

$49/mo

per month, billed annually

Ideal for professionals and small teams

10 AI agents · 8 LLM providers
1,750 AI replies/mo
500 knowledge documents (agent memory)
175 build & automate actions/mo
500 premium AI credits/mo
150 build credits/mo
Up to 12 agent actions per reply
Per-file limit: up to 25 MB · all formats incl. Word, Excel, PowerPoint
Up to 4 Active Channels
Remove-branding add-on available (+$29/mo)
Integrations and connectors
Priority Support
5 seats included
First 100 Startup customers: 100 bonus build credits

Choose Startup

Enterprise

Companies that need enterprise support and controls

$207/mo

per month, billed annually

Best for large teams and organizations

25 AI agents · 12 LLM providers
7,500 AI replies/mo (fair use beyond)
Unlimited knowledge documents (agent memory)
750 build & automate actions/mo
2,500 premium AI credits/mo
500 build credits/mo
Up to 12 agent actions per reply
Per-file limit: up to 50 MB · all formats incl. Word, Excel, PowerPoint
Controls & safety — see #controls-safety
Remove “Powered by WisebotAI” branding
All Available Channels
Per-agent model selection
OAuth sign-in (Google, GitHub); SAML on request
Dedicated Success Manager
15 seats included

Book a demo

Corporate

Regulated or private deployment needs

Custom

For global corporations with specific needs

Unlimited AI agents · any LLM provider
Serverless GPU inference · Fireworks, Together AI, Groq, Cerebras, SambaNova
Fine-tune your own models · OpenAI, Fireworks, Together AI fine-tunes (BYOM)
Custom tool calling & function definitions per agent
Live evaluation, A/B model testing & prompt tuning
Private deployment (on request)
Custom channel connectors
Full White Labeling
Custom knowledge base & per-file limits
Enterprise security program (SSO, DPA, audit — on request)
24/7 Phone Support
On-premise options (on request)

Book a demo

No credit card to start · Free: 50 replies + 10 docs · Cancel anytime

Questions, answered plainly

Agents, workflows, security, and pricing — the questions buyers actually ask before rolling this out.

Build AI agents, workflows, and generations for every team.From first question to finished work.

Company AI should run like infrastructurenot scattered prompts and disconnected bots.

From first agent to live workflow in one guided path

Create the agent with AI

Ground it in company knowledge

Connect channels and tools

Route work with control

Generate and manage output

Everything an agent needs to do real work

Models per agent, routed by profile

Every channel, same thread

Knowledge to answer. Tools to act.

Knowledge

Tools

Built-in environment

AI-powered creation, management, and generation on one stack

Create with AI

Manage in one workspace

Generate finished work

Managed LLMs

Serverless sandboxes

Open models on GPU

Frontline teams ship in the UI,engineering meets them in code.

Meet customers on every channel they use

AI-powered workflows your team can read

How WisebotAI turns chats into finished work

Six jobs teams hire WisebotAI for

See what you'd save in year one

Controls your security team can actually verify

Guardrails

Approvals

IP access

Review trail

Pricing that scales with your conversations

Free

Basic

Startup

Enterprise

Corporate

Questions, answered plainly

Put your first agent to work today.

Company AI should run like infrastructurenot scattered prompts and disconnected bots.

From first agent to live workflow in one guided path

Create the agent with AI

Ground it in company knowledge

Connect channels and tools

Route work with control

Generate and manage output

Everything an agent needs to do real work

Models per agent, routed by profile

Every channel, same thread

Knowledge to answer. Tools to act.

Knowledge

Tools

Built-in environment

AI-powered creation, management, and generation on one stack

Create with AI

Manage in one workspace

Generate finished work

Managed LLMs

Serverless sandboxes

Open models on GPU

Frontline teams ship in the UI,engineering meets them in code.

Meet customers on every channel they use

AI-powered workflows your team can read

How WisebotAI turns chats into finished work

Six jobs teams hire WisebotAI for

Controls your security team can actually verify

Guardrails

Approvals

IP access

Review trail

Company AI should run like infrastructure
not scattered prompts and disconnected bots.

Frontline teams ship in the UI,
engineering meets them in code.

See what you'd save
in year one

Company AI should run like infrastructure
not scattered prompts and disconnected bots.

Frontline teams ship in the UI,
engineering meets them in code.