We build custom AI chatbots connected to your business knowledge, CRM, APIs and workflows — for customer support, sales, lead qualification and automation. A controlled business system with human oversight, not a black box.
Most businesses still answer the same questions over and over — slowly, inconsistently, and only during working hours. Here is what that costs you.
The same pricing, status and how-to questions consume your team's day, over and over.
Customers ask at night and on weekends — and wait until morning for a reply.
Every hour of delay is a chance for a customer to go to a faster competitor.
Without qualification, your sales team chases tire-kickers while real buyers wait.
Answers live in different people's heads, documents and systems — no single source of truth.
Every lead gets the same slow, manual screening — or none at all.
Rule-based bots break on the first unexpected question and frustrate the customer.
Your website, CRM and support tools do not talk to each other — so neither can your service.
A rule-based bot follows a script. An AI chatbot understands your business — and acts on it.
Fixed decision trees, limited vocabulary
Knowledge-grounded, connected, action-capable
Every build is scoped to your goals. Most businesses start with one type and expand as they see value.
Answers product, billing and how-to questions from your knowledge base, 24/7.
Guides prospects through your offerings, answers objections and books meetings.
Asks structured questions, scores intent and pushes only qualified leads to your CRM.
A searchable, conversational layer over your documents, policies and internal wiki.
Helps customers discover products, compare options, track orders and resolve issues.
Goes beyond answering — plans multi-step tasks, uses tools and completes work end to end.
We connect your chatbot to the sources your business already trusts — so answers reflect your real content, products and policies.
Retrieval-grounded answers mean the chatbot responds based on your content — and can point to where the answer came from.
Through a tool layer, the chatbot routes requests to your real systems — checking, creating and updating records with the permissions you define.
Asks a question or requests an action in natural language
Understands intent, picks the right tool, applies your rules
order API → returns live status and tracking linkcalendar API → creates the event and confirmsCRM → explains options → logs the intent for salesinventory API → answers with live stock and alternativesThe chatbot asks the right questions in a natural conversation, then hands your sales team leads that are ready to act on.
Opens the conversation and identifies what the visitor is looking for.
Need, budget, timeline, company size — woven into a natural dialogue.
Applies your qualification rules to score each lead's readiness.
Name, email, phone and context — captured without a wall of forms.
Pushes the qualified lead to your CRM with the full conversation context.
Alerts the right person so high-intent leads get a fast response.
A clear resolve-or-handoff architecture keeps customers served and your team focused on what actually needs a human.
On any connected channel, at any hour
Retrieves knowledge, checks systems, takes permitted actions
Answer delivered, action completed, logged for analytics
Human agent receives the full conversation context
The same knowledge-grounded assistant can serve your team — finding policies, answering onboarding questions and cutting down on "where is that document?"
Permission-aware retrieval where implemented — employees see only the content they are allowed to access.
The same knowledge, the same guardrails, the same integrations — delivered wherever your customers already are.
Embedded chat widget on your site — the most common starting point.
Meet customers where India already chats — support, sales and updates.
In-app assistant for your customers or your employees.
Respond to DMs and comments on the platforms you use.
Conversational voice for calls — pairs naturally with our AI voice agents.
Drafted and triaged responses for inbox-heavy workflows.
We only advertise channels that are actually supported in your build — you choose what makes sense for your customers.
Your chatbot is not locked to a single model. An orchestration layer routes each request to the option that best fits quality, cost, privacy and language — so you can change models without rebuilding.
Routing, guardrails, memory and tool access — one control plane over every model option below.
Leading commercial models for broad, high-quality conversation.
Self-hosted options where data control and cost matter most.
Kirikaa's proprietary foundation for Indian business contexts and languages.
Lightweight models for high-volume, simple interactions.
Fine-tuned options for specialized vocabulary and workflows.
Different models for different intents — the best of each.
Grounded retrieval from your knowledge
Actions through your systems
Context across the conversation
Scope, tone and safety rules
An AI agent doesn't just respond — it pursues a goal. It understands, plans, uses tools, observes results and keeps going until the task is done or a human is needed.
States a goal in plain language
Parses intent, constraints and context
Breaks the goal into steps
Calls the right system or API
Reads the result back
Decides the next move
Executes with your permissions
Delivers the outcome — or escalates
Agents operate with guardrails and human checkpoints — we define what it may do on its own and what always needs approval. See our AI Automation & Agents service for deeper workflow automation.
A chatbot without a handoff is a trap. Ours is designed to recognize its limits and bring a human in — with the full context already gathered.
We track what matters so you can see exactly how the chatbot is performing — and so we know what to improve next.
Your data, your customers, your brand — the chatbot is designed with controls from day one. We discuss your specific requirements during discovery.
Only the data the chatbot needs is used, and we discuss retention and handling with you.
Scoped permissions for what the AI can read, write and trigger in each system.
Data protected in transit and at rest across the conversation pipeline.
What was asked, what was retrieved, what was done — reviewable after the fact.
Defined scope, tone and safety rules — the AI stays inside the lines you set.
Triggers, approvals and handoffs keep humans in control where it matters.
Cloud, private cloud or on-premise — matched to your infrastructure and policies.
Clear ownership of knowledge, prompts and permissions — documented and reviewable.
The pattern is the same everywhere: repetitive questions, scattered knowledge and systems that don't talk. The details change by industry.
Shoppers expect instant answers about products, stock and orders. A chatbot connected to your catalog and order system answers them — and keeps selling while you sleep.
Buyers and renters ask the same questions about every property — and timing is everything. A chatbot qualifies interest, answers property questions and books site visits.
Institutions get hundreds of admissions questions a day. A chatbot answers course, fee and eligibility questions and captures serious prospects for your counselors.
Clinics and hospitals can use chatbots for appointment scheduling, FAQs and pre-visit information — reducing phone load and no-shows.
Chatbots in healthcare handle administrative and informational tasks only — they do not provide medical advice or diagnosis. Clinical workflows require appropriate professional review.
Financial institutions can automate routine inquiries — account status, branch info, product details — while keeping sensitive actions firmly under human and policy control.
Financial chatbots operate under strict guardrails and do not provide investment advice or execute sensitive transactions without the controls your compliance framework requires.
From dealer inquiries to internal knowledge, chatbots connect people to the right information and systems across plants, teams and processes.
A representative architecture showing how knowledge, tools and handoff come together in one system.
Conversational search over your live catalog — filters, comparisons and recommendations in plain language.
Live order status, delivery updates, returns and exchanges — handled through your order system.
Wholesale, bulk or custom inquiries captured, qualified and pushed to your CRM with context.
Complex or sensitive cases transfer to your support team with the full conversation attached.
The chatbot sits on top of your existing stack — reading and acting through secure, scoped integrations.
Leads, contacts, deal context
Status, updates, returns
Appointments, slots, reminders
Availability, scheduling
Status, invoices, refunds info
Live stock, variants, lead times
Scoped, read-safe queries
Products, docs, knowledge
Your custom systems and services
Alerts, confirmations, follow-ups
A structured process that keeps the business — not just the technology — at the center.
Understand your customers, questions, systems and goals.
Scope the use case, channels, guardrails and success metrics.
Collect, clean and structure your business knowledge sources.
Design flows, tone, qualification logic and handoff rules.
Connect CRM, orders, bookings and the systems it must act on.
Assemble the model, retrieval, tools and guardrail layers.
Realistic question testing, edge cases and handoff verification.
Launch, monitor, refine knowledge and guardrails continuously.
Reference architectures we have designed and refined — the starting points for most of our chatbot builds.
Catalog-aware product discovery, live order tracking and returns handling.
Listing Q&A, buyer qualification and site-visit booking into the team calendar.
Course, fee and eligibility answers with prospect capture for counselors.
Scheduling, reminders and clinic FAQs — administrative tasks only, no medical advice.
Routine inquiries and document guidance with strict, controlled handoffs.
SOPs, procedures and maintenance docs — conversational search for plant teams.
Product Q&A, billing help and feature guidance grounded in your docs.
These are reference architectures — conceptual patterns we design and refine for each client. We do not display client names or project details without permission.
Four ways to work with us — from a focused pilot to a full enterprise assistant. All priced as custom quotes based on your scope.
One channel, one use case — prove the value fast.
The full system for a growing business.
Customer-facing support and sales in one assistant.
Customer + internal assistants at scale.
We have spent a decade building digital products — and we build AI the same way: as reliable business systems, not demos.
We start with your goals, customers and systems — the model is a detail, not the product.
Retrieval from your own content means answers that reflect your business — with sources you can check.
CRM, orders, bookings, calendars and APIs — the chatbot acts on your actual systems.
Triggers, approvals and handoffs keep people in control exactly where it matters.
Access control, encryption, audit logs and guardrails — designed in from day one.
One brain across website, WhatsApp, app, social and voice — where your customers are.
Conversations, resolution, lead quality and handoffs — tracked and reported plainly.
Launch is the start. We refine knowledge, guardrails and integrations as usage grows.
Straight answers about how AI chatbots work, what they can do, and what to expect from a build with us.
An AI chatbot is a conversational system that understands natural language, retrieves information from your business knowledge, and responds to customers — 24/7 across channels like your website, WhatsApp, or mobile app.
Rule-based bots follow fixed decision trees and break when a customer asks something unexpected. AI chatbots understand intent, retrieve relevant knowledge, and handle a much wider range of questions — while still following the guardrails you define.
They can answer questions from your business knowledge, qualify leads, capture details, check order or booking status, take actions through your systems, and hand off to a human when needed.
We connect it to your knowledge sources — website, documents, help center, product catalog, CRM — through a retrieval pipeline. The chatbot answers based on your content, not generic training data.
Yes. Through APIs and integrations, the chatbot can read from and write to systems like your CRM, order management, booking, calendar, and payment platforms — so it can act, not just talk.
Yes. It can ask structured questions, score intent, capture contact details, push qualified leads to your CRM, and alert your team — so your sales people spend time on leads that matter.
It recognizes its limits. Based on the triggers you define — low confidence, sensitive topics, customer request — it hands the conversation to a human with full context, instead of guessing.
Common channels include your website, WhatsApp, mobile app, social platforms, and voice. We only advertise channels that are actually supported in your build — you choose what makes sense for your customers.
Yes. Modern language models handle multiple languages, and we can tune the chatbot for the languages your customers actually use, including Indian languages where relevant.
We use an orchestration layer that can route to different model options — global foundation models, open models, or domain-specific foundations like BharatLM — depending on your requirements for quality, cost, privacy, and language.
BharatLM is Kirikaa's proprietary model foundation for domain-specific AI, built to understand Indian business contexts and languages. It can power your chatbot where a domain-specific foundation is the right fit.
We build with data privacy in mind: access controls, encryption, audit logging, and guardrails on what the AI can see and say. We discuss your specific data requirements during discovery.
Retrieval can be permission-aware where implemented — for example, an internal assistant can be scoped so employees only see content they are allowed to access. We design this per your policies.
Yes. Internal assistants help employees find policies, answer onboarding questions, get IT support, and summarize documents — with access scoped to what each person should see.
A focused pilot can be live in weeks; a full business chatbot with integrations typically takes longer. We scope this honestly during discovery based on your knowledge sources and integrations.
Your business goals, your knowledge sources (website, documents, FAQs), and access to the systems you want connected. We handle the rest — architecture, conversation design, integration, and testing.
We work on custom quotes. Pricing depends on scope, channels, knowledge sources, integrations, and deployment. Share your goals and we will send a tailored proposal.
No. Real-world performance depends on your content, questions, and systems. We build a measurable system, set baselines, and improve continuously — rather than promising a fixed number.
Yes. Through the tool layer, the chatbot can check order status, create bookings, update CRM records, and trigger workflows — with clear rules about what it can do on its own and what needs approval.
We track conversations, resolution, response time, lead quality, handoff rate, and customer feedback — and turn those insights into ongoing improvements to knowledge, conversations, and integrations.
No. It is designed as a controlled business system with human oversight. It handles the repetitive volume so your team can focus on complex, high-value conversations.
Yes. Beyond answering, an AI agent can understand a goal, plan steps, use tools, observe results, and act — for example, researching, comparing, and booking — with guardrails and human checkpoints.
Launch is the starting point. We monitor conversations, refine knowledge and guardrails, add integrations, and improve the system based on real usage.
Yes. We can start with a focused pilot — one channel, one use case — and scale as you see value. We will be honest about what a given scope can and cannot achieve.
Chatbots handle text conversations across channels like website and WhatsApp. AI voice agents handle phone calls. Many businesses use both — text for support and sales, voice for calls and appointments.
Yes. We integrate through APIs and connectors with CRMs, order systems, booking platforms, calendars, payment gateways, databases, and internal tools. If a system has an API, we can usually connect it.
Tell us about your business and what you want the chatbot to handle. We will come back with a tailored proposal — no pressure, no obligation.
Prefer email? Write to [email protected]