All Case Studies
What you can check before your chatbot goes live
Each point below is something you can test yourself: where every answer came from, how the chat moves to a human, and the lead record it leaves in your CRM.
Answers come from your pages
Retrieval, not memory The bot searches your own website pages, product data and policy documents first, then writes its reply from what it found. It keeps the source page with each answer, so your team can see where a reply came from and correct the page if it is wrong.
It says I don't know
No guessing If the answer is not in your content, the bot says it does not know and offers a person instead. We set a confidence rule for this and test it on questions we know are not covered, before any customer sees the bot.
A human takes over
Clean hand-over Angry customers, refunds, custom quotes and anything about money go to a named person on your team. The full chat history travels with the hand-over, so the customer never repeats the question to the person who picks it up.
Leads land in your CRM
Qualified, not raw The bot asks the questions your sales team would ask, such as budget, city and need, then creates the lead in your CRM. Our own CRM already sends leads and won deals back to Meta, Google and ChatGPT ads as server-side events.
Built on our AI work
Our own systems We built a Model Context Protocol server that lets ChatGPT draft, publish and schedule pages in our Strapi CMS behind a content check, live since October 2026. The same habit of sources, checks and logs goes into every chatbot we build.
Honest about our record
No borrowed case studies We have not yet published a client chatbot case study. So we show you the related systems we built and run, and we prove each bot on your own customer questions before launch, with the accuracy score given to you in writing.
HOW WE WORK
Watch how Dcrayon works with you, from first call to sign-off
A short film on how we work with clients, from the first review call to the senior person who approves every release.
What is AI Chatbot Development?
AI chatbot development is building a chat assistant that answers customer questions from a business's own content, collects lead details and hands complex chats to a human.
Step 1: A bot that reads first
Definition A modern chatbot uses a large language model to write replies, but it should not answer from the model's general memory. It first retrieves the right passages from your site, catalogue and policies, then answers only from them. This method is called retrieval-augmented generation.
Step 2: Not a menu of buttons
Differentiation Older chatbots follow a fixed tree of buttons and stall on any question outside it. An AI chatbot understands questions typed in the customer's own words, in more than one language, but still works inside rules you set, such as never offering a discount it was not given.
Step 3: Scored on real questions
Measurement We measure a chatbot by answer accuracy on a test set of real customer questions, the share of chats resolved without staff, hand-over speed and qualified leads created. Each failed chat is reviewed weekly and becomes a content or rule fix.
What we build and hand over with your chatbot
Six parts, each one tested before the bot speaks to a customer.
You get a working chatbot on the channels you choose, a knowledge source your team can update, a test report and a review routine. You own the content, the bot's instructions and the data it collects.
Website, WhatsApp and Telegram
One knowledge source behind a chat window on your site, the WhatsApp Business Platform and a Telegram bot.
We already run Telegram publishing from our own CMS, so that bot API is familiar ground.
Knowledge base from your content
We collect your product pages, FAQs, shipping and return policies, split them into searchable passages and keep them in sync, so the bot never quotes an old price after you update a page.
E-commerce product and order help
The bot answers stock, size, ingredient and delivery questions from your catalogue, looks up order status by number and explains returns.
We built AI voice and photo search on the Natually catalogue.
Lead capture into your CRM
The bot asks your qualifying questions, checks the phone number format and creates a lead with the source channel and chat transcript attached, so sales can call back with context.
Human hand-over rules
You decide which topics go to people: refunds, complaints, bulk orders, legal or medical questions.
The bot passes the chat during working hours and takes a callback request outside them.
Test set and accuracy report
Before launch we run the bot against real questions from your inbox and call notes, grade each reply as correct, partly correct or wrong, and share the full report with you.
How a chatbot project moves at Dcrayon
Three linked steps: a free review of your chat needs, a written plan tied to one number, and the in-house tools we use to build and check the bot.
Growth Intelligence (AI Chatbot Development review)
The free 150-point review reads your current chat, email and call questions, checks your site content for gaps a bot would trip on, and lists the questions a bot can safely answer.
Dcrayon Growth Engine (AI Chatbot Development plan)
A written 90-day plan tied to one number you name, such as chats resolved without staff or qualified leads per week, with channels, hand-over rules and the test set agreed up front.
Dcrayon AI (AI Chatbot Development toolkit)
Our in-house tools build the retrieval index, run the test questions and flag weak answers. A senior person reads every flagged reply and signs off each change before it goes live.
How Dcrayon builds and launches a chatbot
Four steps, with a written check at the end of each, so you know what the bot will say.
Step 1: Collect questions
We gather real customer questions from your inbox, WhatsApp chats, call notes and reviews, group them by topic, and mark which ones the bot should answer and which ones belong to a person.
Step 2: Build the source
We turn your pages, catalogue and policies into a searchable index, write the bot's rules and tone, and connect your CRM and order system through their APIs where you give us access.
Step 3: Test and fix
The bot answers the full test set. We grade every reply, fix the content or rule behind each wrong one, and run the set again. You see the accuracy score before you approve launch.
Step 4: Launch and review
After launch we read the failed and handed-over chats every week, add missing answers to your content, and send a plain monthly recap of accuracy, hand-overs and leads created.
Get my free AI chatbot review and test plan
Send us your site and a sample of customer questions. We reply with the review, the risks and a fixed quote.
+187%
Median sales lift, first year
Other Artificial Intelligence services
Chatbots are one part of our AI work. See how we approach automation, consulting, AI agents and generative AI features for your product.
What a well-tested chatbot changes for you
Fewer repeat questions for your team, faster replies for customers and leads that arrive with context.
Client reviews from brands that work with Dcrayon
Reviews from brands we have worked with since 2016, rated 4.8 from 127 reviews on Google.
“On time delivery, supportive team. [Dcrayon's] on-time delivery was commendable.”
“The process was smooth and professional. The project achieved strong measurable results, including a 35% increase in website traffic after launching the Shopify website.”
“They ensure all campaigns go live as scheduled without delays. Since [Dcrayon] took over our digital marketing, we consistently achieved our sales targets, especially during festive sales.”
“Dcrayon made everything right. We commissioned a website design + development build from scratch. it shipped on schedule with responsive adjustments through the review cycles and met the Google feature compatibility we needed.”
“Their attention to detail and compliance-focused approach helps build a stronger and more sustainable business. Initially they ask for documentation many sellers find difficult to provide. that is exactly what sets them apart. They now also offer USA seller account management. Loved the service. Bestseller in 3 category.”
“Dcrayon took our Amazon account from steady but flat to explosive growth: 180 percent more revenue, from Rs 1.82 crore to Rs 5.10 crore.”
Keratine Professional
Salon-grade Hair Care on Amazon
WHY DCRAYON
Why owners choose Dcrayon to build their chatbot
Proof from systems we built and run
The closest proof is in work we run every day: the AI voice and photo search in the Natually shopping app and the checks inside our Dcrayon AI tools. A good first step is the free 150-point review.
Page owner: Rahul Yadav, founder of Dcrayon. Last updated 10 November 2026.
Senior person signs off
A senior person on your account reads the test results and approves every change to the bot's content and rules. AI drafts and checks; a person decides.
Your data stays yours
You own the knowledge base, the bot's instructions, the chat logs and the leads. If you leave, we hand over everything in a format your next team can use.
One team for every connection
The same team builds in Python, Node.js, Laravel and Next.js, so the bot can talk to your store, CRM and order system without a third agency in the middle.
Lead data we already handle
Our CRM already sends leads and won deals to Meta, Google and ChatGPT ads as server-side conversion events, so chatbot leads can feed the same ad reports.
What we will not do
We will not let a bot quote prices, discounts, or medical and legal advice that you have not written down, and we will not launch a bot that fails its test set.
No long lock-in
Only the first 90-day cycle is fixed. After that the chatbot work runs month to month, and every agreement gives you the right to leave.
Get a free chatbot review and a written plan for your top questions
Dcrayon has worked with 485+ brands. In the free 150-point review we read your customer questions and your content, then write a 90-day plan tied to one number you choose.
We list the questions a bot can answer from your current content
We flag gaps in pages and policies before any build starts
You get the hand-over rules and channels in writing
The chatbot price is fixed once the review is complete
Question & Answer
Frequently asked questions
Straight answers on chatbot cost, accuracy, channels and what happens when the bot does not know.
An AI chatbot is a chat assistant that answers customer questions from your own website, catalogue and policies, and passes harder chats to your staff. It suits businesses that get the same questions every day, such as online stores, schools, service firms and B2B sellers. If most of your chats need a person's judgement, a bot will help less, and we will tell you that in the review.
Every chatbot build is priced with a fixed quote once the free review is done, and before we start any work. The price depends on the number of channels, how much content the bot must learn, and whether it connects to your CRM or order system. Third-party usage fees, such as the AI model provider or WhatsApp messaging charges, are listed separately in the quote so you can see them.
It depends on how complete your content is and how many chats you get, so we do not promise a date. A bot only goes live after it passes its test set, and most of the gain comes from the weekly review of failed chats in the months after launch. Your monthly recap shows the share of chats resolved without staff, so you can judge the trend yourself.
We need three things: access to your content, a sample of real customer questions, and one person who can approve answers. Content means product data, FAQs, policies and price lists. Questions can come from emails, WhatsApp chats, call notes or reviews. For order status or lead capture, we also need API access to your store system or CRM.
The main difference is testing: we score the bot on your real customer questions before launch and review failed chats every week after it. We also build the retrieval index from your own content, set rules for what the bot must never say, and connect the hand-over and CRM to your team. You get the accuracy report in writing.
No. The first 90-day cycle is the only fixed period; after it the work runs month to month, and you can end it under any of our agreements. If you leave, we hand over the knowledge base, the bot's instructions, the chat logs and the integration notes, so your own staff or another team can keep the bot running.
We use retrieval with a refusal rule: the bot may only answer from passages it found in your content, and if no passage is close enough to the question, it says it does not know and offers a person. We test this on questions we know are not covered, log every reply with its source passage, and review low-confidence answers each week.
Ask a question about your chatbot idea
Tell us your channels and the questions customers ask most. A senior person replies.
Start with the questions your customers ask
Send us your website and a handful of real customer questions. We will show you which ones a bot can answer today and which content needs fixing first.
The review is free, the quote is fixed before any work starts, and a senior person stays on your account.