Chatbot development is the design and implementation of a conversational interface that can understand or route user intent, return approved information, collect structured inputs and, where appropriate, connect the conversation to business systems or a human team.
Rudrriv provides chatbot development as a managed professional service. You share the business problem, users, channels, data and required actions; Rudrriv coordinates the appropriate professionals, technical decisions, development, testing and delivery. The goal is not to add a chat bubble for its own sake, but to build a controlled conversational workflow that is useful in production.
To scope the build accurately, provide the chatbot's objective, target users, preferred channels, the questions or workflows it should handle, approved knowledge sources, examples of real enquiries, required integrations, escalation rules, languages, brand tone, data restrictions and target launch date. For integrations, access to relevant API documentation, test credentials or a technical contact may also be required.
Rudrriv reviews goals, users, channels, knowledge, handoff rules, integrations and success criteria.
The assigned delivery team implements conversation logic, retrieval, integrations and the agreed channel experience.
Representative questions, fallbacks, routing and integration paths are reviewed against the approved scope.
Rudrriv supports deployment, final revisions and the agreed documentation or configuration handover.
For AI-enabled chatbots, response fluency is only one quality factor. A production-ready scope should also define what the bot is allowed to answer, where information comes from, what happens when evidence is missing, how users reach a person, which actions require authentication, what data may be stored, and how changes will be tested after launch. Rudrriv incorporates those decisions into the managed delivery rather than treating them as post-launch cleanup.
Choose by the capability you actually need: a focused website FAQ and lead bot, an AI knowledge bot with one business integration, or a broader multi-channel assistant with deeper retrieval and workflow coverage.
| Included | ₹19,999 Essential Website FAQ & Lead Bot For a focused website conversation flow with curated answers and lead capture. |
₹59,999 Professional Recommended AI Knowledge & Workflow Bot For businesses that need grounded AI answers, one integration and managed handoff. |
₹1,29,999 Advanced Integrated Multi-Channel Assistant For broader knowledge, multiple channels and connected business workflows. |
|---|---|---|---|
| Primary channel | Website | Website or WhatsApp | Up to 2 channels |
| Conversation approach | Curated FAQ + intent routing | AI + RAG + guardrails | Advanced RAG + workflow routing |
| Knowledge scope | Up to 30 approved FAQ / intent entries | Up to 10 approved documents or URLs | Up to 30 approved documents or URLs |
| Lead / data capture | ✓ | ✓ | ✓ |
| Human handoff | Email / defined route | ✓ | ✓ |
| Business integrations | — | 1 integration | Up to 2 integrations |
| Analytics / event tracking | Basic events | Conversation & handoff events | Workflow & escalation events |
| Languages | 1 | 1 | English + 1 additional language |
| QA & acceptance testing | Core flow test | Representative question set | Expanded evaluation set |
| Revision rounds | 2 | 3 | 4 |
| Standard delivery | 10 business days | 15 business days | 25 business days |
| Post-launch support | 7 days | 30 days | 60 days |
| Package price | ₹19,999 | ₹59,999 | ₹1,29,999 |
Package prices cover the defined Rudrriv implementation scope. Usage-based AI model charges, WhatsApp or messaging fees, hosting, vector databases, premium SaaS subscriptions and other third-party platform costs are separate unless a written quote explicitly includes them.
Use the solution patterns below to clarify the kind of conversation, knowledge and action your chatbot needs. They are scope examples rather than prebuilt templates.
Answer approved support questions, collect missing context and route exceptions to the appropriate human team instead of forcing every visitor through the same contact form.
The following feedback is presented from the supplied Chatbot Development client-review input.
For our Chatbot Development requirement, we needed someone who could make progress quickly without trading away maintainability. They delivered a custom conversational chatbot and kept the work aligned with the original business need. The quality showed most clearly in the way they handled conversation design, intent handling, knowledge retrieval, handoff logic, analytics, and channel integration. The handoff process was clear, with enough explanation for our team to understand what had changed and why. The final result was a chatbot that answered common questions clearly and routed more complex requests appropriately. The project ended in a much better state than it began, both technically and from an ownership perspective.
We needed outside support for Chatbot Development and chose this team because their proposed approach was concrete and easy to evaluate. Their job was to produce a custom conversational chatbot, and they handled both the visible work and the less obvious technical details behind it. We were particularly happy with the attention to conversation design, intent handling, knowledge retrieval, handoff logic, analytics, and channel integration. Their communication was practical and specific, which made technical decisions much easier for our non-technical stakeholders. What we received in the end was a chatbot that answered common questions clearly and routed more complex requests appropriately. We would use the same team again for related work because the delivery was dependable without being over-engineered.
We selected this Chatbot Development service because we needed specialist help on a project that had already become more complex than expected. We asked for a custom conversational chatbot, and the implementation was broken down in a way that made each stage easy to validate. The team made strong decisions around conversation design, intent handling, knowledge retrieval, handoff logic, analytics, and channel integration and explained the reasoning when we asked. We never had to chase for status; blockers and decisions were raised early enough for us to respond. The completed work gave us a chatbot that answered common questions clearly and routed more complex requests appropriately. We also appreciated that the team left clear recommendations for the next improvements instead of trying to expand the scope during delivery.
Tell us what the chatbot should help users do, where it will run, what information it should use and which systems it must connect to. Rudrriv will assess the scope and recommend the most suitable delivery approach.
