AI Chatbots · GPT-4o · Claude · RAG · CRM Integrations · WhatsApp

AI Chatbot Development Services
for Support, Sales & Beyond

We build custom AI chatbots that understand natural language, integrate with your existing tools, and resolve real customer queries — not just answer FAQs from a fixed list.

200+
Chatbots Deployed
94%
Avg Response Accuracy
20+
Industries Served
5+
Years AI Experience
What We Build

Eight Types of AI Chatbots We Develop

Every chatbot we build is purpose-designed for its use case — not a generic bot with your logo on it.

01
Customer Support Chatbots

24/7 first-line support that resolves common issues, handles tickets, processes returns, and escalates to human agents — with full context — when it hits its limit.

02
Sales & Lead Generation Chatbots

Qualify inbound leads 24/7, answer product questions, personalise responses based on user behaviour, and book demos directly into your sales team's calendar.

03
eCommerce Chatbots

Product discovery, order tracking, returns initiation, cart recovery, and personalised recommendations — reducing support load while increasing conversion on your store.

04
Internal IT & HR Helpdesk Bots

Employee-facing bots for IT troubleshooting, HR policy lookups, onboarding guides, leave requests, and expense queries — reducing internal support tickets by up to 60%.

05
Appointment Booking Chatbots

Conversational scheduling for consultations, demos, clinic appointments, and service calls — with real-time calendar availability checks and confirmation notifications.

06
RAG Knowledge Base Chatbots

Answer questions from your documentation, PDFs, product manuals, and policies using Retrieval-Augmented Generation — always accurate, always cited, always up to date.

07
WhatsApp & Messaging Chatbots

Native chatbots for WhatsApp Business, Facebook Messenger, Telegram, Slack, and Microsoft Teams — meeting your customers on the platforms they already use every day.

08
Voice Chatbots

Voice-enabled conversation for IVR replacement, phone-based customer support, and appointment management — integrated with Twilio, Vonage, or your existing telephony infrastructure.

Channels & Platforms We Deploy To

Website WidgetWhatsApp BusinessFacebook MessengerSlackMicrosoft TeamsTelegramSMS / MMSiOS & Android AppsREST API
Choosing the Right Solution

AI Chatbot vs AI Agent — Which Do You Need?

Both are built on LLMs, but they solve different problems. Use this to pick the right starting point.

Choose an AI Chatbot when…
  • You need 24/7 first-line customer support
  • Users ask predictable, recurring questions
  • Goal is deflecting tickets or qualifying leads
  • Faster time-to-value is a priority
  • Budget is fixed and scope is well-defined
Choose an AI Agent when…
  • Tasks require multi-step autonomous decision-making
  • The bot needs to take actions across multiple systems
  • Workflows are complex and vary case by case
  • You need research, analysis, or content creation
  • The end goal changes dynamically mid-task

Not sure which is right for your project?

Tell us what you need — we’ll recommend
How We Work

Our AI Chatbot Development Process

From intent mapping to continuous improvement — a process built around shipping chatbots that actually contain queries, not just respond to them.

01
Discovery & Intent Mapping

Define the chatbot's goals, map the most common user intents, identify integrations required, and agree on escalation triggers and success metrics before any development begins.

02
Conversation Design

Design conversation flows, fallback handling, tone of voice, and persona. We design for real user behaviour — including the unexpected inputs that break rule-based bots.

03
Development & Integration

Build the chatbot on your chosen LLM, connect to your CRM, helpdesk, knowledge base, calendar, or database. Implement RAG pipelines where knowledge accuracy matters.

04
Training & Testing

Test across hundreds of real user scenarios, measure accuracy and hallucination rate, refine prompts and retrieval, and validate human handoff triggers before going live.

05
Deployment

Deploy to your website, app, or messaging platform with monitoring, logging, and cost controls live from day one. We handle both widget integration and API-based deployments.

06
Continuous Improvement

Post-launch review of unresolved queries, user drop-off points, and misidentified intents. Regular updates keep accuracy high as your product, policies, and users evolve.

Why 1Solutions

Chatbots That Contain Queries, Not Just Answer Them

We have shipped chatbots across 20+ industries. Here is what separates a 94% containment rate from a bot your users learn to ignore.

LLM-Powered, Not Rule-Based

Our chatbots understand natural language variations, context across a conversation, and implicit intent — not just exact keyword matches. They handle how real users actually type.

Deep CRM & Helpdesk Integration

Salesforce, HubSpot, Zendesk, Freshdesk, Intercom, and custom APIs — chatbots that read and write to your existing systems rather than operating in isolation.

Human Handoff Done Right

Smooth escalation to live agents with full conversation context transferred — no repeating themselves. We configure escalation triggers based on sentiment, complexity, and user request.

Multi-Language Support

Chatbots that detect and respond in 50+ languages out of the box — without separate training per language. Ideal for global products and multilingual customer bases.

Compliance & Data Security

GDPR-compliant by design. PII redaction in logs, data residency controls, and audit trails. Healthcare, finance, and legal clients get sector-specific compliance architecture from the start.

Measurable Outcomes

We track containment rate, CSAT, resolution time, and ticket deflection — not just conversation volume. Every chatbot we build is tied to a business metric, not just a deployment count.

Industry Applications

AI Chatbots Built for Your Industry

Domain context is what separates a chatbot that works from one that frustrates users. We bring it for eCommerce, SaaS, healthcare, and finance.

eCommerce
  • Order tracking & returns chatbots
  • Product recommendation bots
  • Cart recovery conversations
  • Post-purchase support automation
SaaS & Tech
  • In-app onboarding assistants
  • Feature discovery & help bots
  • Support ticket deflection
  • Trial conversion chat flows
Healthcare
  • Patient FAQ & symptom triage
  • Appointment booking bots
  • Insurance & billing queries
  • Post-visit follow-up automation
Finance & Legal
  • Account & product FAQ bots
  • Loan eligibility pre-qualification
  • Document upload guidance
  • Client intake chatbots
Common Questions

AI Chatbot Development FAQs

The questions we get asked most before a chatbot project starts.

A rule-based chatbot follows decision trees and keyword triggers — it only understands inputs it was explicitly programmed to handle, and fails on anything outside that list. An AI chatbot powered by an LLM (GPT-4o, Claude, Gemini) understands natural language in all its variations, interprets context across a conversation, handles unexpected phrasing, and generates relevant responses it was never specifically trained for. AI chatbots have dramatically higher containment rates for real-world user queries.
A focused single-channel chatbot (website widget or WhatsApp) with one or two integrations typically takes 3 to 6 weeks from scoping to live deployment. Multi-channel chatbots with RAG knowledge bases and CRM integrations typically take 6 to 10 weeks. We deliver a working prototype in the first two weeks so you can see and validate the core experience before full build-out.
Yes. CRM and helpdesk integration is one of the most common — and highest-value — parts of a chatbot build. We integrate with Salesforce, HubSpot, Zoho, Zendesk, Freshdesk, Intercom, ServiceNow, and custom internal systems via API. The chatbot can read customer records, create tickets, update fields, and trigger workflows in your existing tools without any manual handoff.
Human handoff is triggered by configurable conditions: the user explicitly asks for a human, sentiment analysis detects frustration, the chatbot confidence score falls below a threshold, or specific topic types are flagged (complaints, escalations, complex requests). When handoff triggers, the full conversation transcript is transferred to your live agent tool — Zendesk, Intercom, Freshchat, or any other — so the user never has to repeat themselves.
Modern LLMs support 50+ languages natively without separate training per language. The chatbot detects the language the user is writing in and responds accordingly. For business-critical languages (your primary markets), we validate accuracy specifically during testing. Multilingual support is included by default — not an add-on — for all chatbots we build.
A focused single-purpose chatbot (support FAQ, lead qualification, appointment booking) built on an existing LLM typically starts from $5,000 to $12,000 USD depending on integration complexity. Multi-channel deployments with RAG knowledge bases, CRM integrations, and custom conversation flows range from $15,000 to $40,000+. Voice chatbots and enterprise-grade deployments are scoped individually. We provide a detailed estimate after a free discovery call.
Accuracy depends on the quality of your knowledge base and the specificity of user queries. For well-documented domains (product FAQs, policy documents, technical guides), RAG-powered chatbots consistently achieve 90–95%+ accuracy on in-scope questions. For out-of-scope questions, the chatbot is designed to acknowledge its limits and offer human handoff rather than hallucinate an answer. We measure and report accuracy during the testing phase before launch.
Yes. We build chatbots for WhatsApp Business API, Facebook Messenger, Telegram, Slack, Microsoft Teams, and SMS — in addition to website widgets and in-app deployments. WhatsApp is particularly high-value for businesses with customers in India, Southeast Asia, Latin America, and the Middle East, where it is the primary communication channel. We handle the WhatsApp Business API setup and verification process as part of the engagement.
Let’s Build Together

Start Your AI Chatbot Project

Tell us your use case, the channel you want to deploy on, and the systems to integrate — we’ll come back with a scope and estimate within 48 hours.

We respond within two business days. No spam, ever.

Ready to Build?

Build an AI Chatbot That Your Users Actually Use

From a simple FAQ bot to a full multi-channel support automation — we scope, build, and ship chatbots that resolve queries, not just respond to them.