Delivered under non-disclosure. Names, architecture and metrics stay with the client — references on request.
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Intelligent chatbots powered by GPT-4o and Claude that understand natural language, answer complex questions, and automate customer conversations — on any channel.
Answers questions from your knowledge base, handles returns, checks order status, and escalates complex cases to human agents.
Engages website visitors, asks qualifying questions, scores leads, and routes hot prospects to your sales team in real time.
Company wiki, HR policy, or IT helpdesk bot — employees ask questions in natural language and get accurate answers from your docs.
Guides new users or customers through setup steps, answers questions, and collects information in a conversational flow.
One bot deployed across your website, Telegram, WhatsApp, and Slack — same knowledge base, consistent answers everywhere.
Phone-based IVR replacement — natural voice conversation powered by speech-to-text, GPT reasoning, and text-to-speech output.
RAG (Retrieval Augmented Generation) on your own documents
Conversation memory — context across the full session
Human handoff: escalation to live agent with full chat history
Admin panel to upload docs and update knowledge base
Analytics: conversations, resolution rate, escalation rate
Deployed on your infrastructure — your data stays with you
Multi-language support (auto-detect or explicit toggle)
Fallback handling for out-of-scope questions
Real deployments, measurable impact.
A telecom operator with 200K subscribers was receiving 3,000 support tickets per week. 65% were routine questions (balance, plan details, how-to) that didn't require a human agent.
Built a GPT-4o-powered chatbot on their website and Telegram connected to live account data — checks balance, plans, and speeds in real time. Escalation to human with full session history.
40% reduction in support tickets in the first 60 days. Customer wait time: from 14 minutes to under 30 seconds. 92% of users resolved without reaching a human agent.
HR team at a 500-person holding received 80+ repetitive questions per week: vacation rules, benefits, expense reimbursement process, remote work policy.
Deployed an internal Slack bot connected to the company's HR knowledge base via RAG. Employees ask in natural language, bot searches and answers from official HR documents.
95% of HR questions resolved without HR staff involvement. HR team reclaimed 12 hours per week. New employee onboarding time cut from 3 days to 4 hours.
A B2B SaaS company was losing 35% of new trial users in the first 7 days because the product setup was complex and support had a 6-hour response time.
In-app onboarding bot that guides users through initial setup steps, answers feature questions from product documentation, and proactively checks in at key friction points.
Trial-to-paid conversion improved 22%. Churn in first 30 days reduced 28%. Support load on the success team down 45% — same team now handles 3× more accounts.
2–3 weeks
3–5 weeks
5–10 weeks
We review your existing docs, FAQs, and support tickets to define the knowledge base scope and answer quality targets.
2–3 daysA working chatbot on your real data — you test it and give feedback before we build the production version.
3–5 daysFull bot with admin panel, analytics, and integrations. Tested against your real support scenarios.
1–4 weeksGoes live with monitoring. We review conversation logs weekly for the first month and tune responses.
OngoingNo two briefs are alike — the requirements never are — so we design for yours instead of assembling from templates. Your names, architecture and numbers stay yours: an NDA is our default, not an exception. Send us yours before the first technical call and we will sign it.
Delivered under non-disclosure. Names, architecture and metrics stay with the client — references on request.
A chatbot answers questions from a knowledge base and follows scripted flows. An AI agent is autonomous — it can take actions (search the web, update a CRM, send emails) and complete multi-step tasks without human input. Most support and FAQ use cases are best served by a well-built chatbot.
A basic FAQ chatbot starts at $1,000 (2–3 weeks). A smart multi-channel chatbot with CRM integration starts at $3,000 (3–5 weeks). An enterprise knowledge-base or voice bot starts at $8,000 (5–10 weeks).
Yes. We use RAG (Retrieval Augmented Generation) — the chatbot searches your uploaded documents to answer questions. It will not make up facts or use general internet knowledge unless you explicitly allow it.
When the chatbot can't resolve a query (or when the user asks for a human), it flags the conversation and notifies your support team via email, Telegram, or Slack. The agent receives the full conversation history and can reply through the native channel.
Yes. We build a RAG pipeline over your knowledge base (PDFs, Google Docs, Notion, Confluence, help center). The chatbot retrieves the most relevant sections before generating each answer — this is more reliable than fine-tuning for most use cases.
Send us your knowledge base or describe your support use case — we'll prototype within a week.