Not sure which service fits? Talk to a senior AI expert for a tailored solution.
AHK.AI engineers ship production-grade Telegram AI chatbots for DMs, groups, and channels—with RAG knowledge bases, integrations, moderation, and human handoff
Telegram is built for high-signal conversations—DMs, communities, and channels. But when messages spike, response time drops, users churn, and leads go cold. AHK.AI builds Telegram bots that reply instantly, answer FAQs from your knowledge base, qualify leads, and route edge cases to humans. We combine Telegram’s Bot API with AI + RAG guardrails so the bot stays accurate, on-brand, and measurable—without overwhelming your team.
Our consultant manages every step to ensure success:
Discovery: define goals and KPIs (lead capture, deflection rate, time-to-first-response)
Design: conversation flows, commands, buttons, tone/voice rules
Knowledge setup: curate content + build RAG retrieval
Build: Telegram Bot API logic + AI orchestration + integrations
Testing: group behavior, anti-spam rules, accuracy and escalation checks
Launch: pilot rollout + monitoring + weekly iteration based on logs
It typically refers to a Telegram bot that chats with users in DMs, groups, or channels—answering questions, guiding workflows, and optionally using AI to generate responses.
A Telegram AI chatbot combines the Telegram Bot API with an AI model (like GPT-4 or Claude). We also add guardrails and RAG so answers stay grounded in your approved content.
Yes. We build behaviors for DMs, groups, and channels, including commands, buttons, moderation rules, and routing to admins or support agents.
Yes. We implement RAG so the bot retrieves relevant context from your knowledge sources before responding—improving accuracy and reducing hallucinations.
We add rate limits, keyword filters, moderation rules, and escalation triggers. Enterprise builds can include advanced abuse detection workflows.
Yes. Common integrations include HubSpot/Salesforce/Zendesk/Freshdesk, Google Sheets, Notion, Slack, and custom APIs.
A basic Telegram bot can launch in 5–10 days. AI + RAG builds typically take 2–3 weeks depending on knowledge base readiness and integrations.
Yes. We can deploy the bot backend and optional AI components on your infrastructure for stronger data control, depending on your compliance requirements.
It’s commonly used as a shorthand search phrase for Telegram chat bots. Functionally it maps to Telegram bots that chat with users on Telegram.
Ongoing costs depend on usage: hosting, optional AI model usage, and third-party tools. We estimate monthly ranges during discovery and optimize for cost per resolved conversation.
Our Telegram group got noisy as it grew. The bot now handles repeated questions, flags suspicious links, and routes real issues to admins. The rules are configurable, and the rate limits stopped spam bursts from derailing chat. We still review edge cases, but the day-to-day load is much lighter.
Project: Telegram group bot with moderation rules, FAQ flows, and admin routing
We needed a Telegram bot that could answer product setup questions without making up features. AHK.AI implemented a RAG knowledge base from our docs and release notes, plus a confidence threshold that escalates uncertain cases. The answers are noticeably more consistent and the escalation summaries save time.
Project: Telegram AI chatbot using RAG on product documentation + escalation workflow
Most questions are about shipping, returns, and sizing. The bot now answers those instantly and sends complicated cases to support. We did one extra iteration to adjust tone and add a couple missing policy pages—after that it became very stable. The analytics view helped us find what customers ask most.
Project: Telegram support bot with policy-based RAG and handoff to agents
We use Telegram for dispatch groups. The bot prompts drivers for shipment ID, location, and status, then posts a clean formatted update for the team. It reduced back-and-forth messages and made handoffs easier. The only manual part is rare exception cases, which is expected.
Project: Telegram operations bot for structured updates + routing to dispatch
We needed careful behavior around compliance topics. The bot references approved policy text and refuses out-of-scope questions. Initially it refused too often, but after tuning the knowledge base and rules, it became a reliable first line. Logs were helpful for internal review.
Project: Telegram support bot with compliance guardrails + audit-friendly logging
The bot asks for scope, timeline, and budget, then routes qualified leads to the right person. We connected it to HubSpot so deals start with the right context. The handoff summary is the best part—less time reading long chat histories.
Project: Telegram lead qualification bot + HubSpot integration + handoff summaries
We run a Telegram channel and get the same questions after every post. The bot answers common FAQs and points people to the right links. We also added a feedback collector that sends entries to Notion. Setup was smooth—just needed to refine a few canned responses for our tone.
Project: Telegram channel concierge bot + Notion feedback integration
We indexed internal runbooks and API docs. The bot answers ‘how do I…’ questions with references and escalates when it’s unsure. It’s not perfect, but it handles the common questions that used to ping engineers all day.
Project: Telegram developer support bot using RAG on runbooks + API docs
During enrollment, families message nonstop. The Telegram bot answers schedules, tuition ranges, and onboarding steps consistently, and sends special cases to staff. We also used the analytics to update our FAQ page based on real questions.
Project: Telegram onboarding + admissions FAQ bot with routing and analytics
We had bursts of messages after announcements. The bot stayed responsive, handled basic questions, and routed the rest to a queue for our team. Reliability was our main concern and the implementation has been stable so far.
Project: Telegram bot with queueing, rate limits, and team escalation workflow
