The same questions arrive all day
Your team answers opening hours, delivery areas, fees, documents required and order status questions repeatedly on chat, WhatsApp and phone.
RDS Innovations designs and builds chatbots and AI agents that hold useful conversations with customers and staff. Each assistant has a defined job, approved knowledge, clear limits on what it can do, and a simple path to a human when a question is outside its scope.
A chatbot is the conversation layer: the chat window on your website, the WhatsApp number customers message, or an assistant inside your staff portal. What happens behind that window varies a lot. Some bots follow fixed menus and rules. Others use a language model to understand free-text questions and answer from your own help articles, price lists or policies.
An AI agent goes a step further. Besides answering, it can use tools you give it, such as checking an order status, looking up an appointment slot or creating a support ticket through your system's API. Each tool has its own permissions, and the agent only performs actions you have explicitly allowed. Sensitive actions, like issuing a refund, can require a person to confirm.
Good assistants are designed around conversations, not just technology. We plan the questions people actually ask, what the assistant should say when it is unsure, when it should hand over to a person, and how that person sees the full conversation history. Every conversation is logged so your team can review answers, spot gaps in your content and improve the assistant over time.
Your team answers opening hours, delivery areas, fees, documents required and order status questions repeatedly on chat, WhatsApp and phone.
Visitors message in the evening or on weekends. By the time someone replies the next day, the lead has contacted another business.
Internal know-how sits in people's heads and scattered documents. Onboarding is slow and experienced staff are interrupted constantly.
An existing menu-based bot loops through options, cannot understand typed questions and gives no way to reach a person, which hurts trust.
Conversations happen across personal phones and inboxes, so management cannot see common questions, complaints or missed sales opportunities.
Scope is agreed in writing for every project. These are the building blocks we typically plan with you.
Mapped intents (what users are trying to do), sample dialogues, greeting and fallback messages, tone of voice, and rules for when to escalate.
A chat interface for your website or web app that matches your branding, works on mobile, and can capture name and contact details for leads.
An assistant connected to the WhatsApp Business API through an approved provider, with message templates for follow-ups and support for media where needed.
Connection to your FAQs, help articles, product data or policies so answers come from approved content, with a process for updating it.
Secure connections to selected APIs, such as order lookup or ticket creation, with per-tool permissions, input checks and confirmation steps for sensitive actions.
Routing of conversations to a staff member or helpdesk when the assistant is unsure, the user asks for a person, or a topic is flagged, with the full history passed along.
A searchable log of conversations with ratings, unanswered questions and handoff reasons, so your team can review quality and fill content gaps.
Representative examples of the work, described generically. They are not client case studies.
Patients ask about doctors, timings and fees on WhatsApp, check available slots and request a booking. Medical questions are not answered and are routed to staff.
Website visitors ask about projects, configurations and site visit timings. The assistant collects requirements and budget, then passes a qualified lead to the sales team.
Online shoppers enter an order number to get the current status. Return requests are logged against the order and confirmed by a support agent.
Employees ask how to apply for leave, claim expenses or reset access. The assistant answers from current policies and opens a ticket when action is needed.
Prospective students ask about courses, eligibility, batch timings and fees. The assistant shares brochures and books a counseling call.
Decisions stay visible, important workflows are validated early, and delivery is shaped around the agreed scope.
Study existing chats, emails and call notes to find the most common questions, the language people use and where conversations go wrong.
Agree what the assistant answers, what it must never answer, which actions it may take and the exact rules for handing over to a person.
Organize the approved knowledge, set up channel access such as WhatsApp, and build the API tools the assistant is allowed to use.
Run a test set of normal, tricky and off-topic questions, check answers and actions, and adjust instructions and guardrails before launch.
Go live on one channel first, review conversation logs weekly, update content for unanswered questions and expand scope gradually.
Not every business needs an AI agent. The right choice depends on how varied the questions are and whether the assistant needs to act in your systems.
Best for: A small set of predictable questions and simple menus, such as timings, locations and lead capture.
Uses buttons, menus and keyword rules. It is predictable, inexpensive to run and has no model usage cost, but it cannot understand free-text questions well and becomes hard to manage as options grow.
Best for: Varied questions that can be answered from your FAQs, policies, product details or help articles.
Uses a language model to understand questions in natural language and answer from retrieved passages of your approved content. It handles wording variety much better, needs content upkeep and testing, and adds model usage costs.
Best for: Conversations that should end in an action, such as checking an order, booking a slot or raising a ticket.
Combines a grounded assistant with permission-controlled access to your systems' APIs. It can complete tasks end to end, but needs careful permission design, confirmation steps, audit logs and more testing than a question-answering bot.
A website or WhatsApp assistant that answers from approved content typically takes a few weeks, depending on how ready the content is. Agents that perform actions in other systems take longer and are usually released in stages, one tool at a time.
A well-designed assistant is instructed to answer only from your approved content and to say when it does not know. This reduces invented answers but cannot remove them completely, so we test with tricky questions, log every conversation and route sensitive topics to people.
Yes. Human handoff is part of the design. Users can ask for a person at any point, and the assistant also escalates when it is unsure or a topic is flagged. Your staff receive the full conversation so customers do not have to repeat themselves.
Yes. The knowledge and logic can be shared while each channel gets its own interface and rules. WhatsApp has its own requirements, such as approved templates for messages sent after a conversation window closes.
Only what you allow. Each action, such as reading an order status or creating a ticket, is a separate tool with its own permission. Actions that change money or records can require confirmation from the user or a staff member, and every action is logged.
Running costs usually include model API usage, WhatsApp or messaging provider charges, and hosting. These are billed by the providers and depend on conversation volume. We estimate them upfront and set up usage tracking.
Many current language models handle Hindi and other Indian languages, and Hinglish to a reasonable degree, but quality varies by language and topic. We test each language you need with real sample questions before committing to it.
Tell us what you are trying to build, fix or improve. We will reply with questions, a suggested approach and a realistic estimate.