Netofficials delivers AI chatbot development services for founders, product owners and support leads who want a chatbot that answers real customer or staff questions inside their existing systems. One cross-functional India-based team works from a written discovery scope, with a named delivery lead. Send a short brief to start.
We define the job your chatbot must do, such as answering customer questions, supporting staff or handing a conversation to a person. We also pin down the content it may draw on and the questions it should decline. You get a written scope before any build starts, so the bot's limits are agreed in advance rather than discovered after launch.
We design the conversation flows, the handover to your team and the connections to the systems the chatbot depends on, such as your help desk, CRM or knowledge base. A technical architect is accountable for system design and technology selection, so the bot works inside your existing tools instead of sitting beside them.
One cross-functional team builds the chatbot and tests it against acceptance criteria you approve. You review progress at the end of every sprint, with a named delivery lead owning day-to-day communication. At release, you receive the documentation and deployment access to run it without us.
We write down the job your chatbot must do, the people it serves, the knowledge sources and systems it must use, and the point where it hands a conversation to a person. You review what is in the first release and what waits.
You receiveYou agree the written discovery scope
We map the conversation flows, tone, fallback and handover rules, and the architecture connecting the bot to your content and systems. You review example conversations and the technical approach with our architect.
You receiveYou approve the conversation design before the build starts
We build the chatbot, connect your knowledge sources and integrations, and set up the channels you chose, in Agile sprints. Our delivery lead keeps you updated, and you try working builds in a staging environment as they take shape.
You receiveYou review the working bot at the end of every sprint
Our QA engineers test the bot against the acceptance criteria you agreed, checking answers on real questions, edge cases, handover to people and each integration. You see the results and the open issues before release.
You receiveYou accept the chatbot against the agreed criteria
We deploy the chatbot to the channels you chose and plan how its answers will be improved from real conversations. You check that documentation and deployment access are complete.
You receiveYou confirm the handover before sign-off
Send a short brief on the questions your chatbot should answer and the systems it must connect to, and we reply with questions, a proposed scope and the team to build it.
Your chatbot's job drives the estimate more than any other factor: answering customer questions, supporting staff or handing conversations to a person. We pin down that job and the channels it runs on, such as your website, a mobile app or messaging, in the written discovery scope, so you see what is in the first release before delivery begins.
A chatbot is only as useful as the content and systems it can draw on. We review your help articles, documents, CRM or ticketing tools and any APIs involved, then note what needs cleaning up or connecting. You find out early what adds effort, instead of discovering it mid-build.
Acceptance criteria define what a good answer looks like, when the bot should hand over to a person and what it must never say. Our QA team tests against those criteria, and you review progress at the end of every sprint. At release, you receive documentation and deployment access. If a chatbot is not the right answer, we will say so after scoping.
Fixed-price delivery of a chatbot with one defined job, such as answering customer questions or handing conversations to your team. It suits you when the use case and channels are clear enough to scope.
A dedicated India-based development team that keeps extending your chatbot across new channels, knowledge sources and connected systems. It suits you when the roadmap runs well beyond a first release.
Individual engineers who join your in-house team to add chatbot, integration or QA skills. It suits you when you already have a product owner and a working process.
Netofficials confirms your chatbot stack in the written discovery scope, before any build starts. We choose the language model, retrieval approach, channel connectors and hosting around your knowledge sources, the systems the chatbot must reach and the team that will maintain it after release. Our technical architect is accountable for those technology choices, so you see the reasoning in writing and avoid rework from a stack that doesn't fit.
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Node.js
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PostgreSQLFour things drive the cost and timeline of an AI chatbot: the job it must do, the knowledge sources it draws on, the systems it connects to, and the channels it runs on, such as your website, an app or an internal tool. Handing conversations to a person adds scope. We do not quote prices before we understand these factors. We set them out in a written discovery scope, then agree the estimate, milestones and commercial terms with you before the build begins. Fixed-price project delivery is available once the scope is clear.
You do. Netofficials confirms IP assignment in the contract before the build starts, so ownership is settled before any chatbot code is written. When the chatbot is released, we hand over the documentation and deployment access your team needs to run and extend it. Source code and IP are not left in a grey area at the end of the project.
Start by sending a short brief that covers the question or process you want the chatbot to handle and the systems involved. A named delivery lead replies, and we agree the communication window and update cadence before work begins. We then write the discovery scope together. If a simpler search tool, a workflow change or a different approach would serve you better, we will recommend it after scoping.
Tell us the job you want the chatbot to do, the questions it must answer and the systems it needs to reach. We come back with a written discovery scope, a named delivery lead and a recommendation on the engagement model that fits. If a chatbot is not the right answer for your problem, we will say so after scoping.
