Company-Specific AI Assistant Development

A company-specific AI assistant works only with the information you approve, unlike a general-purpose chat tool: your product catalogue, service terms, pricing policy and internal procedures. Together we define what the assistant does, where it stops and when it hands the conversation to an employee.

Why a company-specific AI assistant?

General AI tools answer from broad knowledge, but they do not know your current campaign, your delivery terms or which request belongs to which team. Once wrong or outdated information reaches a customer, it is hard to correct. An assistant built for you closes that gap: it bases its answers on the agreed sources, says so instead of guessing when something is not covered, and routes the request to the right person.

What shapes the assistant?

• Its task: which questions it answers, which details it collects and which topics it stays out of.
• Knowledge sources: website content, product documents, FAQs, price lists and procedures, each with someone responsible for keeping it current.
• Tone and language: how your brand speaks, in Turkish, English and other languages where needed.
• Handover rules: when the conversation is passed on, to which team and with what summary.
• Connections: which CRM, booking, order or support system receives information.

How we build it

First we choose the priority problem the assistant will solve. Rather than an assistant that tries to do everything at once, we recommend a start that does one job well. We then gather the knowledge sources and prepare a test set made of real questions. The assistant goes live once it has been tested against these scenarios and your team has approved its answers. After launch we review unanswered questions and update the sources and rules.

Which channels does it work on?

The same knowledge base can serve several channels: a website chat window, WhatsApp and other messaging channels, the phone, or an internal knowledge assistant for your employees. The channels are chosen by where your customers and team reach you.

Who is it for?

Businesses with a wide range of products or services, that receive the same questions on several channels, or whose sales and support teams spend much of their time giving information, benefit most from a company-specific AI assistant. Manufacturers with dealer networks, clinics and service businesses that work by appointment, online shops and companies selling technical products are typical examples.

AI provider and costs

We choose the language model behind the assistant together, based on your data requirements, language performance and expected usage. Because the provider's usage fee depends on the number and length of conversations, it is shown as a separate line in the proposal. The scope and timeline of the setup are agreed after the needs assessment.

How do we measure success?

Before setup we write down together what you expect the assistant to change. The indicators depend on the project; we usually look at:

• The share of questions answered from the knowledge sources
• How many conversations are handed to staff, and why
• Unanswered or misunderstood questions
• The number of enquiries and appointment requests collected
• Feedback users leave at the end of a conversation

These indicators are not a promised result but a compass that shows where the assistant needs improving. In the first weeks, unanswered questions usually point to missing or scattered sources; as that content is completed, the assistant's scope can grow.

Compared with a ready-made chatbot tool

For a simple information need a ready-made tool may be enough, and we will say so in the needs assessment.