09 — Technology
Chatbots that answer from your own content — on your website, WhatsApp and internal tools.
- Typical timeline
- 4 – 10 weeks
- Team
- AI engineer, full-stack engineer, PM
Custom AI chatbots and assistants built on large language models, grounded in your documents and data, with a handover to a person when the bot should not answer.
AI chatbot development in Pakistan
BeginTech builds custom AI chatbots for businesses — customer support bots on your website, WhatsApp chatbots, lead qualification assistants and internal knowledge assistants for your team.
Unlike scripted, rule-based bots, these chatbots understand free-text questions and answer from your own content. We connect them to your systems where needed, add a clean handover to a human, and give you analytics on what customers are actually asking.
Scoped in discovery and adjusted at each cycle boundary. Nothing here is fixed before we understand the problem.
Customer support chatbots
Website and in-app assistants that answer from your help centre, policies and product data, and pass the conversation to your team when they should.
WhatsApp & messaging bots
Assistants on WhatsApp Business and the other channels your customers already use, connected to orders, bookings or your CRM.
Knowledge-base assistants
Search-and-answer over internal documents, SOPs and wikis for your own staff, with access that respects who is asking.
Evaluation & guardrails
Test sets built from real questions, rules for what the bot must not answer, and conversation analytics so quality is measured before and after launch.
What you receive
- Use-case and conversation design
- Chatbot grounded in your content
- Website widget or messaging channel integration
- Human handover and escalation flow
- Evaluation set and conversation analytics
- Guide for updating the knowledge base
Typical stack
Engagement shape
- Typical timeline
- 4 – 10 weeks
- Team
- AI engineer, full-stack engineer, PM
Indicative only. Final scope and cost are agreed after discovery, and we will tell you if your budget does not match the ambition.
It is grounded in the content you provide and instructed to say it does not know rather than guess. We test it against real customer questions before launch and keep monitoring conversations afterwards.
Current language models handle Urdu and Roman Urdu reasonably well. We test against real messages in the languages your customers use before committing to it.
Yes — order status, bookings, CRM or ticketing, through their APIs. Anything that changes data gets a confirmation step or a human check.
The content the bot should answer from (FAQs, policies, product data, documents), real customer questions if you have them, and one person on your side who owns the answers.
Often combined with
Tell us what you are building. We will help turn the idea into a digital product people remember — starting with an honest conversation about whether we are the right studio for it.