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.

AI Customer Support Automation: Cut Response Times by 90%

Customer expectations have never been higher. In 2026, people expect instant responses, 24/7 availability, and personalized support across every channel they use. Traditional support models, with their queues, hold times, and limited hours, simply cannot keep up. AI customer support automation is how forward-thinking businesses are closing this gap, cutting response times by up to 90% while improving customer satisfaction.

The Problem with Traditional Customer Support

Before diving into solutions, it is worth understanding why traditional support is struggling:

Slow response times — The average first response time for email support is 12 hours. For live chat, customers often wait 5-10 minutes during peak hours
Limited availability — Most support teams operate during business hours, leaving global customers without help evenings, weekends, and holidays
Scaling challenges — Adding human agents is expensive and slow. Hiring, training, and onboarding a new support agent takes weeks or months
Inconsistent quality — Different agents give different answers. Knowledge gaps, varying experience levels, and human fatigue lead to inconsistent customer experiences
Channel fragmentation — Customers reach out on WhatsApp, Slack, email, social media, and more. Managing all these channels with human agents is operationally complex

What Is AI Customer Support Automation?

AI customer support automation uses intelligent AI agents to handle customer inquiries across messaging platforms automatically. These agents understand natural language, access your knowledge base, and provide accurate, contextual responses in real time, without human intervention for routine queries.

Unlike basic chatbots with scripted responses, modern AI support agents powered by large language models can understand complex questions, handle follow-up queries, and know when to escalate to a human agent for sensitive or complex issues.

How AI Cuts Response Times by 90%

The math is straightforward. When an AI agent handles a customer inquiry, the response is generated in seconds, not minutes or hours. Here is how the numbers break down:

Average human agent first response time: 4-12 hours (email), 5-10 minutes (chat). Average AI agent response time: under 3 seconds. That is a 90-99% reduction in response times.

But speed is only part of the equation. AI support automation also delivers:

24/7 availability — AI agents never sleep, take breaks, or call in sick. Customers get instant support any time, any day
Unlimited concurrency — A single AI agent can handle hundreds of conversations simultaneously, eliminating wait times entirely
Consistent quality — Every customer gets the same high-quality, accurate response based on your approved knowledge base
Instant scalability — Handle traffic spikes from product launches, sales events, or viral moments without scrambling to staff up

Implementing AI Support Automation: A Practical Guide

Rolling out AI customer support does not have to be a massive undertaking. With platforms like AskMe Studio, you can get started in a single afternoon. Here is the recommended approach:

Phase 1: Start with Your FAQ

Identify the top 20-30 questions your support team handles most frequently. These typically account for 60-80% of all incoming queries. Upload the answers to your AI agent's knowledge base. This alone can dramatically reduce your support team's workload.

Phase 2: Expand the Knowledge Base

Add product documentation, troubleshooting guides, policy documents, and how-to articles. The more comprehensive your knowledge base, the more queries your AI agent can handle independently.

Phase 3: Configure Escalation Rules

Not every query should be handled by AI. Set up clear escalation paths for billing disputes, account security issues, complaints, and any other scenarios that require human judgment. A well-configured escalation system ensures customers always get to a human when they need one.

Phase 4: Deploy Across Channels

Deploy your AI agent across all the messaging platforms your customers use. AskMe Studio makes this particularly straightforward, supporting WhatsApp, Slack, Discord, Microsoft Teams, Google Chat, Telegram, GitHub, and Linear from a single configuration.

Phase 5: Monitor and Optimize

Track key metrics like resolution rate, customer satisfaction, escalation rate, and response accuracy. Use these insights to continuously improve your knowledge base and agent configuration.

Real Results from AI Support Automation

The business impact of AI customer support automation is well documented across industries:

E-commerce — Online retailers report 70-85% automated resolution rates for order status, return policies, and product questions
SaaS — Software companies see 60-75% of technical support queries resolved automatically, with faster escalation for complex issues
Financial services — Banks and fintech companies automate 50-65% of routine inquiries about accounts, transactions, and policies
Healthcare — Medical practices handle appointment scheduling, insurance questions, and general inquiries with 55-70% automation rates

Common Concerns About AI Support Automation

Will AI Replace Human Support Agents?

No. AI support automation is designed to handle routine, repetitive queries so human agents can focus on complex, high-value interactions that require empathy, judgment, and creativity. The best support teams use AI and humans together, each doing what they do best.

What About Customer Satisfaction?

Studies consistently show that customers prefer fast, accurate responses over waiting for a human agent for simple queries. When AI agents are well-trained and properly configured with clear escalation paths, customer satisfaction scores typically increase, not decrease.

Is It Difficult to Set Up?

With modern no-code platforms like AskMe Studio, setup is remarkably straightforward. Most businesses can have their first AI agent live and handling customer queries within a single day, without any technical expertise.

Getting Started Today

AI customer support automation is not a futuristic concept. It is a proven strategy that businesses of all sizes are using right now to deliver better customer experiences at lower costs. The technology is mature, the tools are accessible, and the ROI is clear.

Whether you are handling 50 support queries a day or 50,000, AI automation can help you respond faster, resolve more issues without human intervention, and free your team to focus on the interactions that matter most.

AskMe Studio lets you build and deploy AI support agents across eight messaging platforms in minutes. Start reducing your response times today.