AI chatbots and agents that work for your customers and team

We design AI assistants from first principles. You see the conversations, the decisions and the handovers before we build, then we connect the assistant to your data and systems so it does real work.

Chatbots and agents: what is the difference?

An AI chatbot answers questions. Trained on your website, product information and policies, it gives customers accurate answers at any hour, in their own words and language, and hands over to a person when it should.

An AI agent goes further: it takes actions. It can check an order, book an appointment, qualify a lead and add it to your CRM, create a support ticket, or prepare a quote, by connecting to the systems you already use. Many projects start with a chatbot and add agent abilities once it has proved itself.

What businesses use them for

Customer support that answers common questions instantly and passes complex ones to your team with the full conversation attached. Sales assistants that qualify enquiries on your website or WhatsApp and book meetings. Internal knowledge assistants that let staff search policies, product specs and documents in plain language. Operations agents that handle repetitive tasks such as data entry, reporting and follow-ups.

How we build them

We start by mapping the assistant: the questions it will handle, the tone it uses, the actions it may take, and exactly when it hands over to a human. You approve that design before development begins.

Then we build on the leading AI models, such as Claude, GPT and Gemini, choosing the one that fits your task, budget and data requirements. The assistant is grounded in your own content through retrieval, so it answers from your facts rather than guessing, and it connects to tools like your CRM, booking system, eCommerce platform or helpdesk through secure integrations.

Safe, accurate and measurable

Every assistant ships with guardrails: limits on what it can say and do, protection against misuse, clear disclosure that customers are talking to AI, and a human handover. Personal data is handled according to your privacy policy and the law that applies to you.

After launch we review conversations, measure resolution rate, response time, leads captured and customer satisfaction, and keep improving the assistant every month.

AI chatbots for Sri Lankan businesses

In Sri Lanka, customers expect answers on WhatsApp and Facebook Messenger as much as on the website, often in Sinhala, Tamil or a mix of languages. We build AI chatbots that work on those channels, understand local phrasing and connect to the systems Sri Lankan businesses use, from our team in Colombo.

What you get

AI chatbot strategy and conversation design
Website, WhatsApp and Messenger chatbots
AI agents connected to CRM, booking and helpdesk tools
Internal knowledge assistants on your documents
Guardrails, privacy and human handover
Monitoring, analytics and monthly improvement

Questions we hear often

What is the difference between an AI chatbot and an AI agent?

A chatbot answers questions from your content. An agent can also take actions in your systems, such as booking appointments, updating your CRM or creating support tickets.

Will the chatbot make things up?

We ground every assistant in your own approved content and limit what it can answer, so it responds from your facts. When it is not sure, it says so and hands over to a person.

Can it work on WhatsApp?

Yes. We build assistants for WhatsApp Business, Facebook Messenger, Instagram and your website, sharing one knowledge base so answers are consistent everywhere.

Which AI models do you use?

We work with the leading models, including Claude, GPT and Gemini, and choose the one that fits your task, languages, budget and data requirements.

Is our data safe?

We use business-grade AI services that do not train on your data, keep access to the minimum the assistant needs, and handle personal data according to your privacy policy and local law.

How long does it take to launch a chatbot?

A focused customer support or lead capture chatbot can usually launch in four to eight weeks. Agents with several system integrations take longer, and we agree the scope first.