AskMe is a SaaS platform that lets you create AI agents that respond to customers on Slack, Teams, Google Chat, Discord, Telegram, GitHub, Linear, and WhatsApp — from a visual dashboard, live in minutes.

How much does it cost?

We offer two plans — Starter and Pro — both 50% off during the beta. Your beta price is locked in for life, even after launch. For larger organizations, our Enterprise plan includes dedicated support and SLA.

Do I need technical skills?

AskMe is built for business teams. If you can write an email, you can build an AI agent. Our visual editor guides you through every step.

How is my data handled?

All data is encrypted at rest and in transit. We never use your customer data to train our models. You own your data and can export it at any time.

When does the beta start?

The beta is live now. Sign up to get instant access and start building your first AI agent today.

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

Traditional chatbots follow rigid, pre-scripted rules and can only handle questions they were explicitly programmed for. AskMe builds true AI agents — autonomous assistants powered by large language models that understand context, reason through problems, and deliver natural, human-like conversations without requiring you to map out every possible scenario.

What exactly is an AI agent, and why would I need more than one?

An AI agent is an autonomous assistant trained on your data that holds natural conversations on your messaging channels. You might want multiple agents for different purposes — customer support on WhatsApp, IT help on Slack, sales qualification on Telegram. Each has its own personality, knowledge base, and channels.

What happens when I reach my message limit?

Your agents pause until the next billing cycle. You'll receive a notification before hitting the limit so you can upgrade if needed. Built-in spam detection protects your quota from abuse.

What if someone spams my AI agent?

AskMe includes built-in rate limiting and spam detection on every channel. Automated abuse is blocked before it reaches your agent, protecting your message quota.

How do I train my AI agent with my own data?

Simply upload your content — documents, FAQs, website URLs, or PDFs — through our visual editor. The agent uses Retrieval-Augmented Generation (RAG) to ground every response in your verified data, so it answers based on your actual content rather than making things up. You can update the knowledge base at any time and changes take effect immediately.

What happens when the AI agent can't answer a question?

When your AI agent encounters a question it can't confidently answer, it doesn't guess or hallucinate. Instead, it gracefully acknowledges its limitation and can be configured to escalate — for example, by collecting contact details for follow-up, redirecting to a resource, or handing off to a human team member on the same channel.

Can I customize the AI agent's personality and tone of voice?

Yes. AskMe lets you fully define your agent's personality, tone, and communication style through the visual editor. Set it to be formal or casual, warm or efficient, technical or plain-spoken — whatever matches your brand voice. You can also define guidelines for how the agent introduces itself and what boundaries it should respect.

Which messaging platforms does AskMe support?

AskMe supports 8 messaging platforms out of the box: WhatsApp, Slack, Discord, Telegram, Microsoft Teams, Google Chat, GitHub, and Linear. Build your AI agent once, then deploy it across any combination of these channels from a single dashboard.

Can I deploy one AI agent on multiple channels at the same time?

Absolutely. AskMe follows a build-once, deploy-everywhere approach. Create a single AI agent with one knowledge base and one set of behavior rules, then activate it on as many channels as you need — all simultaneously. Updates to the agent's knowledge or behavior are reflected instantly across every connected channel.

How long does it take to set up an AI agent?

Most users have their first AI agent live and responding to messages within minutes. Our visual editor guides you through each step: name your agent, upload your knowledge base, choose your channels, and deploy. The visual editor handles the rest.

Is AskMe GDPR compliant?

Yes. All data is encrypted at rest and in transit. We never use your data or your customers' conversations to train AI models. You retain full ownership and can request deletion at any time. Our infrastructure is designed to meet the requirements of the GDPR and the EU AI Act.

What use cases can I build with AskMe?

Common use cases include customer support automation, internal team assistants (HR, IT help desk), community management on Discord or Telegram, sales and lead qualification on WhatsApp, developer tooling with GitHub issue triage, and project management support via Linear. You can build any conversational agent that benefits from your custom knowledge base.

Does AskMe support multiple languages?

Yes. AskMe's AI agents can understand and respond in over 100 languages — including English, Italian, Spanish, French, German, Portuguese, Arabic, Chinese, Japanese, and many more. The agent automatically detects the language of incoming messages and responds in the same language, with no additional configuration required.

Slack AI Bot for Customer Service: Setup Guide

Slack has evolved from a team chat tool into the operational hub for millions of businesses. Customer-facing Slack channels, shared support channels, and internal help desks all live inside Slack. A Slack AI bot for customer service brings intelligent, automated support directly into these workflows, answering questions, resolving issues, and escalating when needed, all without leaving the Slack environment.

Why Use a Slack AI Bot for Customer Service?

If your team or customers already live in Slack, adding an AI bot there is a natural extension of your support workflow:

Zero friction — Users ask questions in the same tool they already use for work. No context switching, no new apps to learn
Instant answers — Common questions get resolved in seconds, not hours. The AI agent responds immediately while human agents focus on complex issues
Shared channels — B2B companies can deploy AI bots in Slack Connect channels shared with clients, providing automated support at the point of collaboration
Internal support — IT, HR, and operations teams can automate answers to repetitive internal questions, freeing specialists for higher-value work
Full conversation history — All interactions are logged in Slack, providing transparency and a searchable record of support interactions

How Slack AI Bots Work

A Slack AI bot operates as a Slack app installed in your workspace. When mentioned in a channel or messaged directly, the bot processes the message using natural language understanding, searches your knowledge base for relevant information, and generates an accurate, contextual response.

Modern Slack AI bots powered by platforms like AskMe Studio go far beyond keyword matching. They understand the intent behind questions, handle follow-up queries in threaded conversations, and maintain context across multiple exchanges.

Setting Up Your Slack AI Bot: Complete Guide

Step 1: Define Your Use Case

Before building, clarify what your Slack AI bot will handle. Common use cases include:

Answering customer questions in shared Slack channels
Providing internal IT and HR support for employees
Onboarding new team members with answers to common questions
Triaging incoming support requests and routing them appropriately
Providing instant access to product documentation and knowledge base articles

Step 2: Prepare Your Knowledge Base

Gather all the information your bot will need to answer questions accurately:

For customer-facing bots — Product documentation, FAQs, pricing details, API references, troubleshooting guides
For internal bots — HR policies, IT procedures, onboarding checklists, company guidelines, benefits information

The quality of your knowledge base directly determines the quality of your bot's responses. Invest time in making it comprehensive and accurate.

Step 3: Create and Configure Your AI Agent

Using a platform like AskMe Studio, create your AI agent and configure its behavior:

Create a new agent and upload your knowledge base documents
Set the agent's personality and tone to match your company culture
Configure response guidelines and boundaries
Set up escalation rules for queries the AI cannot handle
Enable the Slack integration and authorize the connection to your workspace

Step 4: Install and Configure the Slack App

Connect your AI agent to your Slack workspace:

Authorize the Slack integration through your AI platform
Select which channels the bot should monitor and respond in
Configure whether the bot responds to direct mentions, DMs, or both
Set up thread-based responses for clean conversation management

Step 5: Test in a Private Channel

Before deploying to production channels, test thoroughly in a private channel:

Ask questions covering your most common support topics
Test multi-turn conversations to verify context retention
Try questions outside the knowledge base to see how the bot handles uncertainty
Verify escalation flows work correctly
Check response formatting looks clean in Slack

Step 6: Deploy and Monitor

Roll out to your target channels and monitor closely during the first few weeks. Track metrics like response accuracy, resolution rate, and user feedback. Continuously update your knowledge base to address gaps you discover.

Best Practices for Slack AI Customer Service Bots

Use threads — Configure your bot to respond in threads to keep channels clean and organized
Set clear expectations — Pin a message in channels explaining what the bot can help with and how to reach a human
Respond to mentions only — In busy channels, configure the bot to respond only when directly mentioned to avoid noise
Enable feedback — Let users react with thumbs up or down to bot responses so you can track satisfaction and identify improvement areas
Maintain your knowledge base — Schedule regular reviews to keep content current. Outdated answers erode trust quickly

Internal vs. External Slack Support Bots

Internal Support Bots

Internal Slack bots serve your own employees. They handle questions about company policies, IT procedures, benefits, and other operational topics. These bots are deployed in internal channels and accessible to all team members.

Internal bots are excellent starting points because the stakes are lower and feedback is immediate. Your own team can quickly tell you when the bot gives an incorrect or unhelpful answer, allowing rapid iteration.

External Customer-Facing Bots

External Slack bots operate in Slack Connect channels shared with customers or partners. They provide the same AI-powered support but to external users. These require more careful configuration and testing, as they directly impact customer relationships.

Companies deploying Slack AI bots for customer service report a 65% reduction in average response time and a 40% decrease in support ticket volume within the first month.

Scaling Across Platforms

One of the biggest advantages of building your Slack AI bot on a multi-platform tool like AskMe Studio is that the same AI agent, with the same knowledge base and configuration, can be deployed across other platforms too. Your Slack bot can also serve customers on WhatsApp, Discord, Microsoft Teams, Telegram, Google Chat, GitHub, and Linear.

This means you build once and deploy everywhere, maintaining consistent quality across all your communication channels.

Get Started Today

Setting up a Slack AI bot for customer service is simpler than you think. AskMe Studio handles the heavy lifting, from natural language understanding to Slack integration, so you can focus on curating your knowledge base and delivering excellent support.

Whether you are automating internal support for your team or deploying customer-facing support in shared channels, a Slack AI bot can transform how you deliver service.