AI Chatbot Development for Business
Your customers don't want to wait. They don't want to repeat themselves. And they definitely don't want to navigate a phone tree at 11 PM. An AI chatbot handles the conversations your team shouldn't have to — accurately, instantly, and at any hour.
At Ksentra, we build custom AI chatbots that go beyond scripted responses. Our bots understand context, pull live data from your systems, and know when to escalate to a human. We don't sell a platform — we build a solution that fits your business, your data, and your customers.
What We Build
Hybrid AI Chatbots
The most reliable architecture for businesses where accuracy matters. Deterministic rules handle critical paths — pricing, compliance, personal data — while an LLM handles open-ended conversation naturally. Your customers get precise answers and a natural experience in the same conversation.
LLM-Powered Customer Support Bots
For companies with broad FAQ coverage needs. These bots understand arbitrary questions, maintain conversation context, and resolve 60–80% of inquiries without human involvement. We configure guardrails to prevent hallucination and off-topic responses.
Lead Qualification Chatbots
Bots that don't just answer questions — they ask the right ones. Qualify incoming leads based on your criteria, route them to the right team, and capture structured data directly into your CRM.
Internal Operations Bots
Not every chatbot is customer-facing. We build bots that help your team access internal knowledge bases, automate routine lookups, and streamline onboarding — reducing the time new employees spend searching for information.
How We Work
1. Discovery (1 week) We analyze your support data, map conversation patterns, and define what the bot should handle vs what stays with humans. You get a clear architecture recommendation — not a sales pitch for the most expensive option.
2. MVP Development (4–8 weeks) We build a working bot with core conversation flows, system integrations, and quality guardrails. You test it with real users before we go further.
3. Iteration & Launch (2–4 weeks) Based on real user feedback, we refine conversation logic, expand coverage, and optimize response quality. The bot goes live when it's ready — not when the sprint ends.
4. Ongoing Support Bots degrade without maintenance. We offer support packages that include conversation monitoring, model updates, and expansion of conversation flows as your product evolves.
Our Technology Stack
We're not tied to a single vendor. We choose the right tools for each project:
- LLM providers: GPT-4o, Claude, YandexGPT, GigaChat, open-source models (Llama, Mistral)
- Frameworks: Django, FastAPI, LangChain, custom orchestration
- Integrations: Any CRM, ERP, helpdesk, or database via API
- Deployment: Your infrastructure, private cloud, or managed hosting — your data stays where you need it
What It Costs
We don't believe in hiding pricing. Here are realistic ranges based on our project experience:
| Project Type | Investment | Timeline |
|---|---|---|
| Simple FAQ bot with standard integrations | $3,000–$8,000 | 4–6 weeks |
| Hybrid bot with custom logic and CRM integration | $8,000–$20,000 | 6–10 weeks |
| Enterprise-grade multi-channel bot | $20,000+ | 10–16 weeks |
Annual maintenance: 20–30% of the build cost. This covers monitoring, model updates, and conversation flow expansion.
Every project starts with a free consultation where we scope the work and give you a fixed estimate — no surprises.
Why Ksentra
- Hybrid architecture expertise. We've built bots that combine deterministic logic with LLMs for industries where getting the answer wrong isn't an option.
- Full-stack delivery. We handle architecture, development, integration, testing, and deployment. You don't need to coordinate multiple vendors.
- No vendor lock-in. We build on open standards. You own the code, the data, and the infrastructure.
- Transparent pricing. Fixed-price projects with clear scope. Maintenance costs defined upfront.
- Real case studies. We don't talk in hypotheticals. See how our solutions perform in real projects.
Frequently Asked Questions
Do I need a custom chatbot, or will a SaaS platform work?
It depends on your volume, complexity, and integration needs. We wrote a detailed build vs buy comparison to help you decide. Short version: if you have fewer than 500 conversations per month and standard questions, a platform is probably fine. Beyond that, custom development often pays for itself within a year.
Can the chatbot integrate with my existing CRM?
Yes. We build native integrations with any system that has an API — Salesforce, HubSpot, Bitrix24, custom databases, ERPs. If your system has an API, we can connect to it.
What happens if the bot doesn't know the answer?
A well-built chatbot acknowledges its limitations. Depending on the scenario, it either escalates to a human agent, asks a clarifying question, or offers the closest relevant answer with a confidence qualifier. We configure these fallback paths during development.
How do you prevent the bot from giving wrong answers?
Three layers: system prompts that define the bot's role and boundaries, retrieval-augmented generation (RAG) that grounds responses in your actual data, and deterministic routing for questions where LLM generation isn't acceptable. We test extensively with real user scenarios before launch.
What if my requirements change after launch?
That's expected. Our support packages include ongoing conversation flow updates, model retraining, and integration adjustments. The architecture we build is designed to evolve with your business — not lock you into decisions made on day one.