Chatbot Development

AI Chatbots That Actually Work.

Gensoft builds custom AI chatbots grounded in your business data — for customer support, lead generation, internal knowledge management, and process automation. Powered by GPT-4 and Claude. No hallucinations. Real answers. Measurable ROI.

100+Chatbots Deployed
85%Avg. Resolution Rate
60%Avg. Support Cost Reduction
11+Years in Conversational AI
Free Chatbot Consultation
Let's Scope Your Chatbot

Get a use-case assessment and cost estimate within 24 hours

Chatbot solutions trusted by leading businesses

Amazon
Google
Microsoft
Shopify
Slack
Netflix
What We Build

Our Chatbot Development Services

Purpose-built conversational AI for every business function — not generic templates, but custom bots trained on your data, tone, and workflows.

Customer Support Chatbots

24/7 AI support agents that resolve common queries, look up order status, handle returns, escalate to human agents when needed, and learn from every conversation — reducing support ticket volume by 50–70%.

RAG Zendesk API Handoff Logic
Lead Generation & Sales Bots

Conversational lead qualification bots that ask the right questions, score prospects, book demo calls, and push qualified leads to your CRM — running 24/7 without a sales rep on call.

CRM Integration Calendly HubSpot
Internal Knowledge Bots

Enterprise knowledge assistants that answer HR policy questions, IT helpdesk queries, compliance questions, and onboarding guidance — grounded in your internal documents via RAG, never hallucinating.

SharePoint Confluence Vector Search
eCommerce Shopping Assistants

Product recommendation bots, sizing advisors, and purchase guides that understand natural language — helping shoppers find the right product faster and increasing average order value.

Shopify API Product Search Cart Integration
Multi-Channel Chatbots

Deploy the same AI brain across web chat, WhatsApp Business, Messenger, Teams, Slack, and SMS — maintaining conversation context and consistent personality across every channel.

WhatsApp Business Teams Slack
Agentic Process Automation

Beyond Q&A — AI agents that take actions: creating tickets, updating records, sending emails, running queries, and completing multi-step workflows in response to natural language requests.

LangGraph Tool Use API Actions
Technology

Our Chatbot Technology Stack

We build on the latest LLM infrastructure — choosing the right foundation model, retrieval architecture, and deployment channel for your specific chatbot use case.

Foundation Models
GPT-4o Claude 4 Gemini Pro Llama 3 Mistral
RAG & Knowledge
LangChain LlamaIndex Pinecone Weaviate pgvector
Channels & Integrations
WhatsApp Business API Twilio Teams Bot Framework Slack Bolt
Backend & APIs
FastAPI Node.js WebSockets Streaming SSE
Agent Frameworks
LangGraph CrewAI AutoGen Semantic Kernel
Analytics & Optimization
LangSmith Helicone Braintrust Custom Dashboards
Industries

Chatbots Across Every Industry

Every industry has repetitive queries, bottlenecked support teams, and customers who want instant answers. Chatbots solve all three.

eCommerce & Retail
Healthcare & Clinics
Banking & Insurance
Education & EdTech
Travel & Hospitality
Real Estate
SaaS & Enterprise
Logistics & Delivery
How We Work

Our Chatbot Development Process

From use-case definition to go-live — a structured process that ships chatbots in 4–8 weeks and keeps improving them afterward.

01
Use-Case Definition

We define which questions the bot will handle, which it will escalate, what tone it should take, and how success will be measured — before any technical work begins.

02
Knowledge Base Setup

We ingest your FAQs, product docs, policies, and knowledge base — chunking, embedding, and indexing into a vector store so the bot retrieves accurate answers, not hallucinations.

03
Bot Build & Prompt Engineering

We engineer the conversation flow, system prompts, guardrails, and fallback logic — tuning the bot's personality, boundaries, and escalation triggers until it behaves exactly as specified.

04
Integration & Testing

We connect the bot to your website, CRM, helpdesk, and messaging channels — then run hundreds of test conversations to validate accuracy, fallback behavior, and edge-case handling.

05
Soft Launch & Monitoring

We launch to a subset of traffic first — monitoring resolution rates, escalation rates, and user satisfaction before full rollout, catching any issues before they affect your full user base.

06
Continuous Improvement

We review conversation logs, identify failure patterns, expand the knowledge base, and improve response quality on a monthly basis — so your chatbot keeps getting smarter over time.

FAQ

Chatbot Development FAQs

Common questions about chatbot costs, build time, and how to ensure they don't hallucinate.

Ask Us Anything

Hallucination prevention is built into the architecture. We use Retrieval-Augmented Generation (RAG) — the bot retrieves relevant facts from your knowledge base before generating a response, grounding its answers in your actual content. We also use strict system prompts that instruct the model to say "I don't know" rather than guess, and we configure output guardrails that prevent responses outside defined topics. In testing, we benchmark hallucination rates against agreed thresholds before go-live.

A focused customer support or FAQ chatbot typically takes 4–6 weeks from kickoff to go-live — including knowledge base setup, integration, and testing. A more complex chatbot with CRM integrations, multi-step flows, multi-channel deployment, and custom UI typically takes 8–12 weeks. Agentic bots that take actions across systems are scoped separately based on complexity.

Yes — human handoff is a core part of every chatbot we build. We configure escalation triggers based on topic (e.g., complaints, billing disputes), sentiment (detected frustration), or explicit user request. Handoffs integrate with your existing helpdesk tools (Zendesk, Intercom, Freshdesk, HubSpot) and pass the full conversation transcript so the agent has complete context without asking the user to repeat themselves.

It depends on your primary channel and use case. Website widget is best for lead generation and customer support. WhatsApp Business works well for markets where WhatsApp is dominant (MENA, LATAM, Southeast Asia). Microsoft Teams is the right choice for internal enterprise bots. We often deploy the same underlying model to multiple channels simultaneously — so you get consistent quality everywhere your customers already are.

Yes, when configured correctly. We use Azure OpenAI Service or AWS Bedrock for enterprise deployments — where your data is not used for model training and is kept within your cloud region under your data agreements. For highly sensitive use cases, we deploy open-source models (Llama 3, Mistral) on your own infrastructure with no external API calls. All integrations are covered by NDA and data processing agreements.
Let's Build Your Chatbot

Your Chatbot Can Be Live in 4 Weeks.

Tell us your use case — support, sales, internal knowledge, or automation — and we'll send you a scoped proposal with timeline, technology, and cost within 24 hours.

Chatbot Development