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.

How to Reduce Customer Support Costs by 60% with AI Agents

Customer support is one of the largest operational expenses for most businesses. Between agent salaries, training, tools, and infrastructure, the cost per support interaction adds up quickly. In 2026, companies are using AI agents to reduce customer support costs by 60% or more while simultaneously improving response times and customer satisfaction. Here is how.

Understanding Customer Support Costs

Before optimizing, you need to understand where your money goes. The typical cost structure for customer support includes:

Personnel — Salaries, benefits, and training for support agents, typically 60-70% of total support costs
Technology — Help desk software, CRM, communication tools, and infrastructure, typically 15-20%
Management — Supervisors, quality assurance, workforce management, and reporting, typically 10-15%
Training — Initial training for new hires and ongoing education for existing agents, typically 5-10%

The average cost per customer support interaction ranges from $5 to $12 for live chat and $8 to $20 for phone support. An AI agent handles the same interaction for pennies.

How AI Agents Reduce Costs

AI agents do not just replace human effort. They fundamentally change the economics of customer support through several mechanisms:

Automated Resolution of Routine Queries

The biggest cost reduction comes from handling routine queries automatically. Industry data consistently shows that 60-80% of customer support queries are routine questions with well-documented answers: order status, return policies, pricing, feature questions, and basic troubleshooting.

When an AI agent resolves these queries, the cost per interaction drops from dollars to cents. If your team handles 1,000 support interactions per day and 70% are automated, that is 700 interactions that cost virtually nothing compared to what they cost with human agents.

Elimination of Wait Time Costs

Human support teams incur significant costs from idle time during low-volume periods and overtime during peak periods. AI agents scale instantly in both directions, handling traffic spikes without overtime and idling at zero cost during quiet periods.

Reduced Training Investment

Training a new support agent takes weeks and costs thousands of dollars. An AI agent learns from your knowledge base instantly. When policies change or new products launch, you update the knowledge base once instead of retraining an entire team.

24/7 Coverage Without Night Shifts

Providing round-the-clock support with human agents requires night shifts, which come with premium pay and higher turnover. AI agents provide 24/7 coverage at no additional cost, eliminating the need for overnight staffing.

Lower Agent Attrition

Support agent turnover is notoriously high, driven partly by the monotony of answering repetitive questions. When AI handles the routine work, human agents focus on complex, engaging interactions. This improves job satisfaction and reduces costly turnover.

Calculating Your ROI

Here is a simple framework for estimating your potential savings:

Count your monthly support interactions — Include all channels: email, chat, phone, messaging apps
Calculate your cost per interaction — Total monthly support costs divided by total interactions
Estimate your automation rate — Conservatively, 60-70% of routine queries can be automated. Review your ticket categories to refine this estimate
Calculate savings — Automated interactions multiplied by your cost per interaction, minus the AI platform cost

For a company handling 5,000 support interactions per month at $8 per interaction, automating 65% would save roughly $26,000 per month, or over $312,000 annually. Even after accounting for the AI platform subscription, the net savings are substantial.

Implementation Strategy for Maximum Cost Reduction

Phase 1: Audit and Categorize (Week 1)

Review your last 90 days of support tickets. Categorize them by topic and identify which categories have well-documented answers. These are your automation candidates. Typically, you will find that a small number of topic categories account for the majority of volume.

Phase 2: Build and Deploy (Week 2)

Using a no-code platform like AskMe Studio, create your AI agent and populate its knowledge base with answers to your highest-volume query categories. Deploy on your primary support channel.

Phase 3: Optimize (Weeks 3-4)

Monitor AI agent performance closely. Identify queries that are not being resolved satisfactorily and fill knowledge base gaps. Track your automation rate and cost per interaction to quantify savings.

Phase 4: Expand (Month 2+)

Deploy your AI agent across additional channels: WhatsApp, Slack, Discord, Microsoft Teams, Telegram, Google Chat, GitHub, and Linear. Each new channel increases your automation coverage and compounds your savings without requiring additional AI training.

Real Cost Reduction Examples

E-commerce company — Reduced support costs by 58% by automating order status, return policy, and shipping queries across WhatsApp and live chat
SaaS startup — Cut support spending by 65% by deploying an AI agent trained on product documentation in Slack and Discord community channels
Enterprise IT department — Reduced internal IT support costs by 52% by automating routine requests through a Microsoft Teams AI agent
Financial services firm — Achieved 55% cost reduction by automating account inquiries and policy questions via WhatsApp and Telegram

Common Pitfalls to Avoid

Automating Too Much Too Soon

Resist the temptation to automate everything on day one. Start with your clearest, most well-documented query categories and expand as you validate quality. A poor AI experience is more expensive than no AI experience because it damages customer trust.

Neglecting the Knowledge Base

Your AI agent's effectiveness is directly proportional to the quality of its knowledge base. Invest time in creating comprehensive, accurate, and up-to-date content. This is the highest-leverage activity for maximizing automation rates.

Ignoring the Human Element

Cost reduction should not come at the expense of customer experience. Always provide clear escalation paths to human agents for complex, sensitive, or emotional interactions. The goal is to automate what can be automated well, not to eliminate human support entirely.

Failing to Measure

Without clear metrics, you cannot demonstrate ROI or identify improvement opportunities. Track cost per interaction, automation rate, resolution rate, customer satisfaction, and human agent utilization from day one.

The Compounding Effect

Cost savings from AI agents compound over time. As your knowledge base grows, your automation rate increases. As you add more channels, each one benefits from the existing knowledge base. As your business scales, your support costs grow linearly with platform fees rather than exponentially with headcount.

This is the fundamental shift: AI agents decouple support quality from support headcount, allowing you to serve more customers better at lower cost.

Start Saving Today

Every day without AI support automation is a day of unnecessary cost. AskMe Studio lets you build and deploy AI support agents in minutes, with no coding, no infrastructure, and no long implementation timelines.

Calculate your potential savings, build your first AI agent, and start reducing your support costs today. The ROI speaks for itself.