Custom AI chatbots we build
Support chatbots
Resolve the repetitive 60–80% of tickets — refunds issued, orders updated, questions answered in seconds — so your team only sees the conversations that need a human.
Voicebots & IVR
Every call answered in under 1.2 seconds, routed intelligently, and completed over the phone — instead of customers hanging up on an IVR maze.
WhatsApp automation
Orders confirmed, appointments booked, and questions answered in the app your customers already open every day — read in minutes, not buried in an inbox.
RAG copilots
Answers pulled from your knowledge base with a citation behind every one — hours of searching and asking around turned into seconds.
Lead-qualification bots
Every inbound lead engaged in seconds, qualified against your criteria, and booked into your CRM — before a competitor even replies.
Enterprise AI chatbots
Role-based access, an audit log behind every answer, and PII handled to your policy — for teams where the chatbot has to pass a security review before it talks to a single customer.
AI chatbot case study: 67% fewer support inquiries
How our AI chatbot development process works
Days 1–5: a demo on your data
We connect a sample of your docs, tickets or call logs and show you a working chatbot answering real questions — before you commit to a full production build.
Weeks 2–8: proof of concept
The chatbot runs against real conversations. You get accuracy and containment numbers, an integration plan, and a budget for production.
Production, then every week after
Two-week sprints connect your CRM, helpdesk and channels. After launch we review failed conversations weekly and fix them, so containment keeps climbing.
Why teams choose us as their AI chatbot development company
- Support costs down — the repetitive majority of conversations resolved without an agent, like the 67% drop we shipped for Odycy.
- More revenue captured — every lead answered in seconds and every appointment booked 24/7, including the ones that arrive at 2am.
- Response times cut from hours to under 1.2 seconds, on every channel your customers use.
- Full ownership — code, prompts, models, and documentation are yours. No per-seat subscription, no vendor lock-in.
- Numbers you can show the board — monitoring, a /status page, and the KPI line we agreed on at kickoff moving in the right direction.
Industries we've shipped in
Engagements that fit the stage you're in
Discovery call
A clear read on whether a chatbot would pay back in your workflow, which channels to start with, and what it would cost.
Ideal for:
- A live business with real support, booking, or lead volume
- Non-technical founders or executives who need tech validation
- Teams comparing chatbot vendors and budgets before committing
Chatbot PoC
A working chatbot on your data and your channels — live demo within the first 5 days, validated against real conversations.
Ideal for:
- You want AI answering customers but need proof on your data first
- An off-the-shelf or no-code bot failed on your real workflow
- You need containment and accuracy numbers to greenlight the build
Deliverables:
- Working chatbot on your data
- Live demo within 5 days
- Accuracy and containment numbers
- Integration and architecture plan
- MVP scope and budget you can take anywhere
Frequently asked questions
AI chatbot development services cover everything needed to put a custom chatbot into production: scoping the use case, connecting the bot to your knowledge base and tools, building the conversation logic on a large language model, testing it against real conversations, launching it on your channels (web, WhatsApp, voice), and monitoring it afterwards. Unlike a no-code builder, the result is a system grounded in your data that takes actions in your systems, and you own the code.
Custom AI chatbot development starts with a proof of concept on your own data: $15k–35k over 4–8 weeks. A full production build is quoted per scope after that, once the numbers prove it works. We break down exactly where the money goes in our guide, How Much Does It Cost to Build an AI Agent in 2026.
No-code tools follow decision trees and deflect; they break the moment a customer goes off-script. Our chatbot development services deliver custom systems grounded in your data (RAG), integrated with your CRM and helpdesk, that take real actions — booking, refunding, escalating — and you own all the IP instead of renting a per-seat subscription. Our comparison, AI Agent vs Chatbot, covers when each makes sense.
We don't retrain a model on your data — we connect it. Your docs, help center, policies and past tickets are indexed into a retrieval layer (RAG), and the chatbot pulls the relevant passages for every question and cites them. When your content changes, the index updates, so answers stay current without a new training run. We then test it on a set of real customer questions before it goes live.
Yes — that's the point. We integrate with the stack you already run: Salesforce, HubSpot, Zendesk, Intercom, the WhatsApp Business API, your calendar, and your internal APIs. The bot reads from and writes to your systems of record, so nothing lands in a silo.
The ones that pay back fastest are customer-support deflection, appointment booking, lead qualification, WhatsApp and voice automation, and internal knowledge copilots. We ranked nine of them with real examples, honest costs, and ROI in Top 9 AI Agent Use Cases for Business in 2026.
You see a working demo on your own data within the first 5 days. A validated proof of concept takes 4–8 weeks, and most production rollouts follow within a few two-week sprints, depending on channels and integrations.
Let's scope your chatbot
Book a 30-minute call. We'll map your channels and data, and tell you honestly whether a chatbot moves your numbers.