Customer service chatbots
On your website, WhatsApp or app, answering from your real knowledge base, capturing leads and booking appointments, 24 hours a day.
Not demos, and not chatbots that hand you to a person on the second question. We build AI agents and assistants that answer customers, process data and run workflows inside the systems you already use.
Built by a Zoho Premium Partner that has been integrating business systems and automating workflows since 2013.
Not demos, and not chatbots that hand you to a person on the second question. We build AI agents and assistants that answer customers, process data and run workflows inside the systems you already use.
Built by a Zoho Premium Partner that has been integrating business systems and automating workflows since 2013.
Zoho CRMLead created, 40 usersChatbot or AI Agent?
Both talk to people. Only one finishes the job. Switch between them to see the same customer request handled two ways.
Customer-facing or internal assistants that hold a real conversation, answer accurately from your own knowledge and hand off cleanly when a person is genuinely needed.
Software that carries out multi-step tasks on its own: it pulls data, makes decisions within the rules you set, updates your systems and takes action, rather than only answering questions.
Both are only as good as their connection to your business: your CRM, your data, your workflows. That’s where our integration background matters.
Found order SO-1042 in Zoho Inventoryread
Delivery date updated to FridaywriteIllustrative example. Every action an agent takes is logged, and anything outside its rules goes to a person.
Inside an AI Agent
An agent runs a loop: it reads the request, plans the steps, acts in your systems and checks the result before it replies. Six parts make that reliable, and we design every one of them.
The reasoning engine. We pick the model per task, for accuracy, speed and cost.
Answers come from your own policies, price lists and manuals, with sources.
The agent can read and write in your systems, through APIs and MCP.
It remembers the customer, the conversation and earlier tickets.
Hard limits on what it may say and do, checked on every step.
Edge cases and high-value decisions go to your team, with full context.
price-list.pdfwarranty-policy.docxAnswer grounded in 2 sourcesRetrieval-Augmented Generation (RAG)
A generic chatbot guesses. Ours look things up first. We load your price lists, policies, product sheets and past tickets into a private knowledge base, and the assistant answers from those sources, showing where each answer came from.
Yes. The Pro plan includes a 2-year warranty1, and it can be extended to 3 years for an annual fee2.
What We Build
AI agents that work like your best team member, built around your workflow rather than a template. As an AI chatbot development company and automation partner, we build these six most often.
On your website, WhatsApp or app, answering from your real knowledge base, capturing leads and booking appointments, 24 hours a day.
Agents that ask the right questions, score the lead, create it in your CRM and hand hot prospects to a salesperson straight away.
Help your team find information, draft replies and policies, and cut manual work, using your own documents and data.
Agents that read invoices, forms and emails, extract the data, check it and route it into the right system.
Voice agents that answer calls, book appointments and qualify enquiries, then log every call and summary in your CRM.




Agents built to your specific process and connected to Zoho CRM, Books, Desk and Creator, rather than dropped in from a template.
Omnichannel
Build the brain once and use it everywhere. The same agent, with the same knowledge and rules, answers on your website, WhatsApp, Instagram and phone lines, and every conversation lands in one place in your CRM.
For WhatsApp we work with official Business API providers, so templates, opt-ins and message limits are handled properly from day one.
Zoho SalesIQLive chat with bot and human handoffSafe by Design
The difference between a demo and an agent you can trust with customers is control. You see every step it takes, and it knows when to stop and ask a person.
09:41:02 user: "Refund my last order, it arrived damaged"
09:41:02 think: refund request, need order and photo evidence
09:41:03 tool: zoho_books.get_invoice(INV-2291)
09:41:03 result: AED 1,250, paid 02 Nov
09:41:04 guardrail: refunds above AED 500 need approval
09:41:04 tool: zoho_desk.create_ticket(priority=high)
09:41:05 handoff: sent to finance team with summary
09:41:05 reply: "I’ve raised this with our finance team..."
09:41:06 logged: run #4812, 6 steps, 4.1 s
Rules the agent cannot cross, such as refund amounts, discounts or topics it must not discuss.
Each agent gets only the data and actions it needs, with permissions set per app.
Approvals for anything with financial or customer impact, and a clean handoff to your team.
Every question, tool call and reply is logged, so you can review exactly what happened and why.
We run the agent against real cases from your business and fix failures before it goes live.
Business-grade AI providers that don’t train on your data, and personal data handled with care.
Model-Agnostic
We’re not tied to one model or platform. We pick the right tool for each job, and can switch models later without rebuilding your agent.
Our first choice for careful reasoning, long documents and agents that need to follow rules closely.
For conversation, content and multimodal tasks such as reading images and voice.
Where its speed and real-time knowledge fit the use case.
To orchestrate agent workflows and connect everything together, without per-task pricing.

To build the apps, portals and interfaces around your AI.




To embed AI directly into the Zoho apps we already implement, including Zoho’s MCP server.
The value isn’t the model. It’s knowing how to wire these into a working business solution, which is what we’ve done for Zoho clients since 2013. See our AI automation services for workflows that run without a chat window.
How We Work
Five steps, built around your goals rather than a vendor’s tools. You see the agent working on your own cases before it talks to a single customer. Timelines are typical for a first agent and depend on scope.
We map the conversations and tasks worth handing to an agent, and the ones that aren’t.
Week 1We design the agent’s knowledge, tools, rules and handoff points, and choose the model.
Week 1 to 2We build the agent and connect it to your CRM, data and channels.
Week 2 to 4We run it against real cases from your business and tune it until the answers hold up.
Before launchWe launch, monitor the logs and keep improving it as your business changes.
OngoingWhy Linz
The market is full of new AI agencies. Anyone can wire up a chatbot demo. Making AI work inside a real business is an integration problem, and integration is what we’ve done since 2013.
An AI agent that isn’t connected to your CRM, your data and your workflows is a toy. One that reads from your systems, acts in them and fits your process is a genuine productivity gain. You can see the kind of work we do in our case studies, delivered by our teams in Chennai and Dubai.


Linz Technologies is a Zoho Premium Partner, the highest tier in Zoho’s partner programme.
“AI agents are the same discipline we’ve practised for years: building software into the way a business actually runs. Only the tools are new.”
Abraham Kingslin, Managing Director, Linz TechnologiesFAQ
A chatbot mainly answers questions. An AI agent can also take action: it looks things up in your systems, follows your rules, updates records and completes multi-step tasks. Many projects combine both, a conversational front end with an agent behind it.
Whichever fits the task. We often use Claude for careful reasoning and rule-following, ChatGPT for conversation and multimodal work, and Grok where it suits the use case. Because we design the agent separately from the model, you can switch later without rebuilding.
Yes. We use retrieval-augmented generation (RAG): your documents go into a private knowledge base, and the assistant answers from them with source references. If the answer isn’t there, it says so and offers a person.
Yes. We connect WhatsApp through official Business API providers so every conversation becomes a lead or contact in Zoho CRM, with the chat history attached and follow-ups assigned to the right person.
With guardrails: hard rules it cannot cross, limited permissions, approval steps for anything with financial or customer impact, and a full log of every step. We also test it against real cases from your business before launch.
We use business-grade AI providers that don’t train their models on your data, give each agent only the access it needs, and keep personal data handling in line with your policies.
A focused first agent, such as a website or WhatsApp assistant on your own knowledge base, typically takes a few weeks. Agents that act across several systems take longer. We scope it with you and give a clear plan first.
It depends on the channels, the systems it connects to and how much it needs to do. We scope it in a consultation and give you a clear written quote, either fixed price or time and materials. AI model usage is billed separately by the provider, and we estimate it upfront.
Yes. Many workflows don’t need a conversation at all. See our AI automation services, built on n8n, Claude and Zoho.
Book a Consultation
Tell us which conversations and tasks eat your team’s time. We’ll show you what an agent can genuinely take over, what it shouldn’t, and how it connects to the systems you already run. Prefer email? Use our contact page.
Dubai: No 305A, 3rd Floor, Al Barsha Business Centre, Al Barsha 1
Chennai: 2nd Floor, 5/790, Kavimani St, Mogappair West, Chennai 600037
This page is reviewed by Abraham Kingslin, Managing Director, Linz Technologies.
Tell us about the conversations or tasks you’d like an agent to take over. We reply within one business day.