ChatBotKit

Build, schedule and supervise AI agents that keep working after hours

Intermediate API
Screenshot of ChatBotKit, Build, schedule and supervise AI agents that keep working after hours

What is ChatBotKit?

ChatBotKit is an AI chat bot tool that builds schedule and supervise AI agents that keep working after hours. Managed platform for building AI agents that work on schedules and triggers, connect to tools like Slack, CRM and helpdesk, deploy across web, WhatsApp, Telegram and Discord, and run under policies, approvals and full run history.

ChatBotKit is a managed platform for building AI agents that do operational work rather than only answering questions. Agents are assembled in a visual designer from plain language instructions, then given memory, knowledge (brand guides, documents, datasets) and abilities drawn from connected systems such as Slack, a CRM, a helpdesk or email. The pitch is that the same agent can wake on a schedule, react to a trigger from one of those tools, and be deployed to several channels at once, without the team owning servers, queues or on-call rotations. The product is organized around four entry points on one platform: AI agents for support, sales and operations work, website widgets, messaging agents for Slack, Discord, WhatsApp and Telegram, and a broader customization layer where knowledge and connections are configured. Ready-made blueprints, called solutions, cover scenarios such as an operations manager that chases follow-ups on weekday mornings, a Zendesk support agent that escalates to teammates on its own, and a WhatsApp commerce concierge split into restricted and privileged agents. Each blueprint can be deployed as-is or reshaped. In practice the build is the customer's job and the runtime is ChatBotKit's. You describe the job, pick a model, attach abilities and schedules, then monitor runs. A control layer adds policies for what agents may do without human sign-off (payments and sensitive actions can require approval), privilege separation between agents, content filtering, data governance and a shared history of every conversation and run. The company reports a developer base of 100K and over 500M agent messages processed, with case studies from search, education, retail and charity deployments. It suits operations, support and revenue teams that want scheduled and event-driven automation with built-in oversight, and developers who would rather configure agents than run the infrastructure behind them. Teams that only need a simple FAQ widget will find more than they need here; teams wanting a thin developer API rather than a managed platform are pointed to the underlying cbk.ai agent platform.

How do you use ChatBotKit?

  1. 1Choose a starting point
    Decide whether you need a full agent, a website widget or a messaging agent. Each entry point has its own template and designer view.
  2. 2Pick a ready-made solution or blueprint
    Browse the solutions library and open one that resembles your job, such as the operations manager or Zendesk support agent, to see how knowledge and abilities are wired.
  3. 3Design the agent
    Describe the job in plain language in the visual designer, attach memory and knowledge sources, and connect the tools the agent should use.
  4. 4Add schedules and triggers
    Set the agent to wake on a schedule or react to events in connected tools, then select the channels it should be available on.
  5. 5Review policies and approvals
    Decide which actions require a human approval and separate privileged agents from restricted ones before going live.
  6. 6Watch runs and refine
    Use the run history to inspect conversations and scheduled runs, then adjust instructions, knowledge or policies based on what you see.

Pros and cons

Pros

  • Agents can be scheduled, triggered by events in your tools and deployed to several channels from one buildAI
  • Ready-made blueprints (Zendesk support, WhatsApp commerce, operations manager) give a working starting point instead of a blank pageAI
  • Control layer includes approval gates for sensitive actions, privilege separation, content filtering and data governanceAI
  • Full observability with every conversation and run recorded in one historyAI
  • Managed runtime removes the need to run servers, queues or on-call staff for agent workloadsAI

Cons

  • Agent quality still depends on how well you write instructions and curate knowledge; blueprint templates only get you startedAI
  • Policies and privilege separation add setup work before anything sensitive can be automatedAI
  • Messaging coverage is concentrated on Slack, Discord, WhatsApp and Telegram, so other channels may need custom workAI
  • Largest case study gains are vendor-reported and cover a handful of customers, so independent benchmarks are thinAI
  • Simple FAQ widget use cases are over-served by a full agent platformAI

How much does ChatBotKit cost?

Support

A contact page and documentation-style product pages exist, but the homepage does not describe support channels, SLAs or response times.

Learn more

Integrations

Built-in connections to the systems teams already use, including Slack, CRM, helpdesk and email, with agents deployable to website widgets, Slack, Discord, WhatsApp, Telegram and your own apps.

Learn more

Features

Visual agent designer with plain language instructions, memory, knowledge sources and selectable AI models. Agents run on the managed platform with schedules, event triggers, multi-channel deployment and scaling. Controls include approval gates for sensitive actions, privilege-separated agents, content filtering, data governance, reusable blueprints and a complete history of conversations and runs.

Learn more

Frequently asked questions about ChatBotKit

  • Does ChatBotKit have an API?
    Yes, ChatBotKit offers an API.
  • How do you use ChatBotKit?
    The walkthrough on this page covers 6 steps: 1. Choose a starting point 2. Pick a ready-made solution or blueprint 3. Design the agent 4. Add schedules and triggers 5. Review policies and approvals 6. Watch runs and refine.
  • What platforms does ChatBotKit support?
    ChatBotKit is available on Web App.
  • What does ChatBotKit integrate with?
    Built-in connections to the systems teams already use, including Slack, CRM, helpdesk and email, with agents deployable to website widgets, Slack, Discord, WhatsApp, Telegram and your own apps.
  • What are the limitations of ChatBotKit?
    Agent quality still depends on how well you write instructions and curate knowledge; blueprint templates only get you started. Policies and privilege separation add setup work before anything sensitive can be automated. Messaging coverage is concentrated on Slack, Discord, WhatsApp and Telegram, so other channels may need custom work.

Status

StatusActive
Views0
Outbound clicks0
Added10/21/2026

Platforms

Web App

Pricing

Freemium