The right choice when
- The same questions arrive every day and the answers already exist.
- People want an answer outside office hours, on a channel they already use.
- A team is there to take over the conversations the bot should not handle.
Chatbot and bot development
Chatbots that know their limits. And hand over to a person in time.
Assistants for customers or staff on your website, in your app or on a messaging channel. They answer from content you approve, complete simple tasks through your systems and pass the conversation on when they should.
- Message
A customer or colleague asks in their own words.
- Grounded reply
The bot answers from approved content or looks up the record.
- Handoff
Anything unclear or sensitive goes to a person, with the conversation attached.
The bot says it is a bot.
01 / Is this the one
Is a chatbot what you need?
A bot helps when the questions repeat and the answers exist. It frustrates people when it stands between them and someone who could help.
Look elsewhere when
- Volume is low. A clear help page and a contact form may serve people better.
- The work is multi-step and happens with no conversation. That is an agent.
- Most questions need judgement or sensitive advice. Keep a person in front.
02 / What the work covers
A bot with a defined job and a way out.
What the bot refuses to do matters as much as what it does. Both are written down before design starts.
- 01
Conversation scope
What the bot answers, what it does, what it refuses and when it hands over.
- 02
Knowledge and lookups
Approved content for answers, and connections to the systems behind account or order questions.
- 03
Channels and handoff
One conversation core for website, app or messaging, with a transfer to your team and the history attached.
- 04
Review after launch
Transcripts and unanswered questions reviewed with you, so the content and the rules improve.
03 / Limits and risks
What a chatbot cannot promise.
Some answers will be wrong
Approved content lowers the rate. It does not reach zero. Legal, medical or financial questions need a person.
No resolution rate in advance
How many conversations a bot can close depends on your questions and content. We measure it in a pilot.
Channels set their own rules
Messaging platforms have approval steps, limits and fees. These affect timelines and costs and are outside our control.
04 / Built and operated by NSDBytes
FocusPulse: a product we deliver through chat.
Our own AI product. India market news as short briefings on Telegram and Web Chat, each story linked to the listed company, commodity, index or currency it concerns. It shows a team that runs a chat-delivered product every day, on Telegram and Web Chat.
- 500+
- articles read a day
- 30+
- business and markets publishers
- 4
- public MCP directories
Public MCP serverFree beta
https://
Add this address to Claude, Cursor or any MCP client.
- Tool
search_stories· One read-only tool- Covers
- India and US stories from the last 48 hours
- Access
- No account or key
Listed in
What this does not show
A client project. FocusPulse sends briefings, it is not a support bot, and we have no published chatbot case study.
05 / What to do next
Price it, compare it or talk it through.
The first step is a free scoping call. Bring the questions your team answers most often and the channels they arrive on. A written estimate follows.
A little clarity
Before a chatbot build begins.
What is the difference between a traditional rule-based chatbot and an AI-powered chatbot?
A rule-based bot follows fixed scripts and fails when a message does not match one. A bot built on a language model understands varied wording and can answer from your content. Many good bots use both: fixed flows for tasks such as payments, and a model for open questions.
How do you prevent an AI chatbot from making up false promises or “hallucinating” during customer interactions?
We limit the bot to content you approve, tell it to say when it does not know, check replies before they are sent and hand over to a person for anything sensitive. This lowers the risk. It does not remove it, so the bot should not make binding commitments.
Can our custom chatbot communicate across multiple social media and workplace channels simultaneously?
Yes, where the channel allows it. The conversation logic lives in one place and each channel is a connection to it. Every platform has its own approval process, limits and costs, so we confirm those for the channels you want before the build starts.
Has NSDBytes built chatbots for clients?
We have no published client case study for a chatbot, and we would rather say so. What we can show is FocusPulse, our own product, which delivers its briefings through Telegram and Web Chat. We suggest a pilot on a narrow set of questions so you can judge the result yourself.
How much does a chatbot cost to build?
It depends on how many channels and systems the bot connects to and how much content it must cover. First releases at NSDBytes start from $5,000. The project cost estimator gives a range for an AI build, and a fixed quote follows a free scoping call. Hosting and AI model usage are billed by their providers and are separate.
Start wherever you are
Bring the questions your team answers every day.
We’ll help you decide which ones a bot should take, which need a person and what a first version involves.