QSS Technosoft builds AI chatbots and voice bots for your website, apps, WhatsApp, phone lines and internal teams. As a conversational AI company with 16+ years of engineering behind it, we ground every answer in your own content, connect the bot to the systems that hold orders, bookings and tickets, and pass the conversation to a person the moment it should.
TRUSTED PARTNERS
An AI chatbot for business is easy to launch and easy to get wrong. A bot that guesses, loops or traps people in a menu costs more trust than it saves. We build chatbots the way we build any production system: grounded, integrated, tested and owned by engineers who stay accountable after launch.
From FAQ Bot to Production Conversational AI
WHERE CHATBOT PROJECTS GET STUCK
Most chatbots disappoint for the same few reasons: they make up answers, they can't look anything up, they won't let people reach a human, and nobody measures what happens in the conversations. Conversational AI for customer service only pays off when all four are fixed. Here is where we see teams get stuck, and how we get them unstuck.
Problem
How we solve it
Retrieval-augmented generation over your approved content, answers linked to their source, and a clear "I don't know, let me connect you" when the answer isn't there.
Answers your team can check and stand behind.
Problem
How we solve it
Integrations with your CRM, order system, help desk, calendar and payment tools, so the bot can check status, book, update and open tickets.
Requests resolved inside the chat.
Problem
How we solve it
Handover rules based on confidence, sentiment, topic and customer request, with the full conversation and a summary passed to the agent.
No one repeats themselves to a person.
Problem
How we solve it
One conversation engine and one knowledge base behind web, mobile, WhatsApp, Messenger, SMS, Slack, Teams and voice.
The same answer wherever customers ask.
Problem
How we solve it
Legacy chatbot modernization: we keep the flows that work, add language understanding and retrieval, and migrate history and analytics.
Fewer dead ends without starting over.
Problem
How we solve it
Conversation analytics for containment, resolution, handover reasons, unanswered questions and satisfaction, reviewed every week.
A clear list of what to fix next.
OUR SERVICES
Eight services, one team, from the first conversation design to a bot your team can run. For copilots, document AI and fine-tuned models, see our generative AI development services.
SERVICE
Our AI chatbot development services start with your goals and your data, not a template. With custom chatbot development services, each bot is shaped around the questions your customers and staff actually ask, then deployed on AWS, Azure or Google Cloud.
SERVICE
We decide what the bot should handle, what it should never handle and when it hands over, before anything is built.
SERVICE
Chatbots that answer from your policies, manuals, help center and product data, with a source for every answer.
SERVICE
The connections that turn a chatbot from an FAQ page into a service desk: look up, book, update and create.
SERVICE
One bot, one knowledge base and one analytics view across every channel your customers and staff use.
SERVICE
Voice bots that understand natural speech on the phone or at a kiosk, replacing press-1 menus with a conversation.
SERVICE
Upgrades for rule-based or first-generation bots that frustrate users, without losing what already works.
SERVICE
The ongoing work that keeps a chatbot accurate, safe and improving after launch.
CHATBOT CONVERSATION VIEWER
Pick a bot to see a typical question, the answer it gives, where the answer came from, whether a person stepped in, the systems it connects to and the guardrail that keeps it safe.
Chatbot conversation · Illustrative example
Do you offer a plan for a team of 40, and can I see a demo?
Yes. The Business plan covers teams of 10 to 100 and includes onboarding. I can book a 20-minute demo; does Wednesday or Thursday afternoon work better?
Chatbot conversation · Illustrative example
My order came yesterday and one item is missing.
Sorry about that. I can see order 4471 was packed in two boxes and the second is arriving tomorrow. If it doesn't arrive, reply here and I'll open a replacement request.
Chatbot conversation · Illustrative example
I need to move my appointment with Dr. Lee to next week.
I can help. Dr. Lee has openings on Tuesday at 9:30 and Thursday at 2:00. Which would you like? I'll send a confirmation by text.
Chatbot conversation · Illustrative example
Why was my card declined at the gas station?
For your security, the transaction was paused because it looked unusual. If it was you, tap "Confirm it was me" and the card will work again right away.
Chatbot conversation · Illustrative example
I need waterproof hiking boots under $150, size 9.
Here are three in stock in size 9, all rated waterproof and under $150. The second pair is the most reviewed for wide feet. Want me to add one to your cart?
Chatbot conversation · Illustrative example
How many vacation days do I have left, and how do I reset my VPN password?
You have 9 days left this year. For the VPN, I've sent a reset link to your work email; it expires in 15 minutes.
Chatbot conversation · Illustrative example
Hi, is my service visit still on for tomorrow?
Yes, your technician arrives tomorrow between 10 and 12. Reply 1 to keep it, 2 to reschedule or 3 to talk to our team.
Chatbot conversation · Illustrative example
I want to check the balance on my utility bill.
Thanks, I've verified your account. Your balance is $86.40, due on the 15th. Would you like to pay now or set up a reminder?
Chatbot conversation · Illustrative example
Does our product support single sign-on with Azure AD?
Yes. It supports SAML 2.0 and OpenID Connect with Microsoft Entra ID (formerly Azure AD). The setup guide and security sheet are linked below.
Illustrative examples of chatbot conversations. Sources, integrations and guardrails are designed for each bot.
WHY QSS
Plenty of firms can set up a chatbot widget. Fewer can ground it in your content, connect it to your systems, design the handover and keep improving it after launch. We are an engineering firm of 250+ that does all four.
Every bot is designed around your conversations, data and systems, so it answers the way your best agent would.
Learn moreRetrieval, citations, confidence thresholds and refusal when the answer is not in your content are part of every build.
Learn moreOpenAI, Anthropic, Google, Meta and open-weight models, plus established bot platforms where they fit. We pick what suits the job and keep you free to switch.
Learn more16+ years of connecting enterprise systems, including regulated ones, means your bot works inside your CRM, help desk and booking tools, not beside them.
Learn moreWe track how many conversations are resolved, how many reach a person and why, and what each resolution costs.
Learn moreCode, prompts, conversation flows, knowledge pipelines and analytics are yours, protected by NDAs and clear IP terms. CMMI Level 3, ISO 27001 and ISO 9001 processes, with 4.9/5 on Clutch.
Learn moreARCHITECTURE
The chat window is the smallest part. A production chatbot is seven layers, and we engineer every one of them.
Most bad chatbot answers are content and retrieval problems, not model problems. We spend more time on your knowledge than on the prompt.
BUILD CHOICES
A chatbot holds a conversation: it answers, guides, collects details, books and hands over. An AI agent goes further and completes multi-step work on its own across several systems. Most businesses need a chatbot first; we move to agents only when the work calls for it.
SUCCESS STORIES
The engineers behind these projects build our chatbots. Story 1 is a conversational data assistant; the others are generative AI systems. Each links to the full case study.
A German enterprise struggled with slow, expert-dependent analytics. We built a GenAI analytics platform with conversational queries and automated analysis across CSV and PDF data.
Tech used
LangChain · Llama 2 · GPT-4
Results
An AI solution that lets law firms analyze legal documents, map statutes and collaborate on investigations, securely and at scale.
Tech used
AI document analysis · Statute extraction · Case mapping · Secure AI infrastructure
Results
A US technology services firm needed to modernize sprawling legacy codebases without disrupting operations. We built an AI-native platform combining code analysis, LLM-powered BRD generation and collaborative review on AWS.
Tech used
LangChain · Llama 2 · React · AWS
Results
INDUSTRIES
What a bot may say, what it must verify and when it must hand over differ by industry. We design for the regulations and systems you actually work with.
HEALTHCARE & LIFE SCIENCES
Our healthcare chatbot development covers appointment booking, reminders, intake forms, billing questions and patient education, built with HIPAA controls and clear rules that send clinical questions to staff.
Learn More
BANKING & FINANCIAL SERVICES
Assistants for balances, card controls, payment questions and loan applications, with identity checks before account details and every conversation logged.
Learn More
INSURANCE
Bots that answer coverage questions, collect claim details and photos, give claim status and route complex cases to an adjuster.
Learn More
RETAIL & ECOMMERCE
Product discovery, sizing help, order tracking, returns and exchanges on your website, app and WhatsApp, connected to your catalog and order system.
Learn More
EDUCATION & ELEARNING
Admissions and enrollment questions, course and fee information, learner support and campus help desk bots, in several languages.
Learn More
TRANSPORTATION & LOGISTICS
Tracking, delivery changes, booking and rebooking, driver support and dispatcher help, over chat, SMS, WhatsApp and voice.
Learn More
SALES & CRM
Website and messaging bots that answer product questions, qualify leads, book demos and write every detail back to your CRM.
Learn MoreListing questions, viewing bookings and tenant help desks.
Booking changes, trip questions and traveler support.
Public sector: citizen service and records-request assistants with human review.
In-product support and onboarding bots.
RESPONSIBLE AI
A chatbot speaks for your brand thousands of times a day. These eight controls keep its answers accurate, its data safe and a person within reach.
Answers drawn from approved, versioned content, with the source shown to the user or the agent.
Confidence thresholds, answer checks against sources and an honest "I don't know" with a route to a person.
Handover on request, low confidence, negative sentiment or sensitive topics, with the conversation and a summary passed along.
Topics the bot will not discuss, such as medical, legal or financial advice, answered with a safe redirect.
PII detection and masking, data minimization, retention you set and model providers that do not train on your data.
Input screening, separated instructions and limited tool access, tested against the OWASP Top 10 for LLM applications.
Users told they are talking to an AI, with opt-in for messaging channels and a clear way to reach a human.
Conversations, sources and actions logged to your policy, with weekly reviews of failed and escalated chats.
A defined chatbot taken to production with a fixed price, timeline, milestones, documentation and a post-launch warranty period.
A named team of conversation designers, AI engineers and integration engineers working as an extension of yours.
Full-time, part-time or project-based chatbot developers with skills in LLMs, RAG, voice and messaging platforms, ramped in weeks.
We build and run your chatbot, then transfer the team, platform and analytics to you.
OUR TECHNOLOGY STACK
Model-agnostic and platform-agnostic. We recommend what fits the bot, including tools we don't sell.
The model is rarely the big line item. Content preparation, integrations, channels and testing drive most of the AI chatbot development cost, so we scope them up front and forecast running costs before you commit.
An FAQ or AI chatbot for website visitors, grounded in your content, on one channel with handover by email or ticket
3–6 weeks
$10,000–$25,000Typical investment
An AI customer service chatbot with RAG, two to four integrations, live-agent handover, analytics and guardrails
8–14 weeks
$35,000–$90,000Typical investment
Web, app, WhatsApp and voice on one platform, several languages, deep integrations and enterprise governance
4–8 months, phased
$100,000–$250,000+Typical investment
Model usage, hosting, messaging and telephony fees are billed separately and depend on volume; we forecast them during the pilot. Ongoing support typically runs 15–20% of the build cost a year. You leave the first call with a range specific to your bot.
A 30-minute call with an engineer from an AI chatbot development company that builds and runs what it designs. Bring your top customer questions or a chatbot that isn't working, and leave with a first read on the right type of bot, the systems it should connect to and a cost range.
Straight answers about AI chatbots and conversational AI: types, cost, timelines, integrations, safety and support.
Everything from first workshop to ongoing support: conversation design, knowledge preparation and RAG, model selection, integrations with your CRM, help desk and booking systems, channels from web to WhatsApp and voice, guardrails, human handover, testing, launch and analytics. Our AI chatbot development services end with a bot your team owns, or one we keep improving for you.
Our AI chatbot development services are priced in three tiers. A pilot chatbot grounded in your content typically costs $10,000–$25,000, a production AI customer service chatbot with integrations and live-agent handover $35,000–$90,000, and an enterprise omnichannel or voice chatbot $100,000–$250,000 or more. Model usage, hosting, messaging and telephony fees are extra, and support usually runs 15–20% of the build cost a year. Content, integrations and channels drive chatbot development cost more than the model does.
A guided flow bot takes 2 to 4 weeks, a RAG chatbot pilot 3 to 6 weeks, a production chatbot with integrations 8 to 14 weeks, and an enterprise omnichannel or voice program 4 to 8 months in phases. The main variables are how ready your content is and how many systems the bot connects to.
"Chatbot" is the broad term for any software that chats with users, including simple rule-based bots that follow fixed menus. Conversational AI is the technology that lets a bot understand natural language, keep context and respond like a person: language models, retrieval, speech and dialog management. A modern AI chatbot is a chatbot built on conversational AI.
Guided flow bots, AI chatbots grounded in your content, integrated assistants that book and update records, voice bots that replace phone menus, WhatsApp and messaging bots, internal HR and IT help desk bots, and industry bots for healthcare, finance, insurance, retail, education and transportation.
An AI chatbot holds a conversation: it answers questions, guides people, collects details, makes simple lookups or bookings and hands over to a person. An AI agent takes a goal and completes multi-step work on its own across several systems, with approvals for high-impact actions. Many businesses start with a chatbot and add agents later; see our AI agent development page for that work.
By grounding answers in your approved content with RAG, showing the source, setting confidence thresholds, checking answers against the source, and letting the bot say "I don't know" and hand over. We test against a set of real questions before launch and after every change.
Yes. We connect chatbots to Salesforce, HubSpot, Zendesk, Freshdesk, order and booking systems, payment gateways, databases and custom APIs, including legacy systems without a modern API.
The bot hands over when the user asks, when its confidence is low, when sentiment turns negative or when the topic is sensitive. The agent receives the full conversation, a short summary and any details already collected, in your live chat or help desk tool, so the customer never starts again.
With containment and resolution rates, answer accuracy on a test set, handover rate and reasons, time to resolution, customer satisfaction and unanswered questions. We review failed and escalated conversations every week and turn them into fixes.
Yes. The bot detects the user's language and answers in it, using models that handle many languages and content translated or written for each market where accuracy matters.
Encryption in transit and at rest, role-based access, PII masking, data retention you control, secure APIs and model providers that do not train on your data. For regulated data we build to HIPAA and GDPR controls, and our processes are certified to ISO 27001 and CMMI Level 3.
Industries with high volumes of repeat questions and bookings, where conversational AI for customer service pays back fastest: healthcare, banking and finance, insurance, retail and e-commerce, education, transportation and any sales team handling inbound leads.
Yes. You can hire chatbot developers full-time, part-time or for a single project, or work with a dedicated AI team that includes conversation design, AI and integration engineers.
Language models from OpenAI, Anthropic, Google, Meta and open-weight providers, bot platforms such as Dialogflow, Rasa and Microsoft's bot tools, LangChain and LlamaIndex for retrieval, vector databases such as Pinecone and Milvus, and cloud AI on Azure, AWS and Google Cloud. We choose per project and design so you can switch later.
Yes. That is the point of custom chatbot development: your flows, your tone of voice, your content and your systems, with domain terms and edge cases built into testing.
Often, if you have a steady volume of repeat questions or bookings. A focused pilot on your top questions shows the value in weeks, and you scale only when the numbers support it.
Ask to see how they prevent wrong answers, how the handover to a person works, which systems they have integrated, how they measure results after launch and who owns the code and content. A good chatbot development company will show you a test set and analytics, not just a demo.
