Custom AI Agent Development for Your Business
An AI agent is not just a chatbot that answers questions. It uses your company knowledge, works with your tools, completes tasks and hands work to your team when it is not sure.
- Works with your documents, product information and business rules
- Integrates with CRM, WhatsApp, email and internal systems
- Hands over to a human below a confidence threshold
Let’s review your process
Tell us briefly what you do today. We will point out what can be automated and how — free of charge.
Is your team answering the same questions over and over?
Customers get no answer outside business hours
Support spends the day answering the same questions
Sales loses time on unqualified inquiries
Knowledge is scattered and finding the right answer takes time
Simple chatbots misunderstand customers and drop them
Requests are logged in the CRM incompletely or not at all
We design narrow, measurable and controlled agents
Successful agents are not “do-everything assistants” but systems that do one task well. We start by defining the task, its limits and the success metric.
Task definition
We decide which decisions the agent makes, what it can access and where it must stop and ask a human.
Knowledge base
We prepare your FAQs, product information, pricing rules and process documents for safe use.
Tool integration
We connect the agent so it can create CRM records, book appointments or look up information.
Guardrails and handoff
Response rules, confidence thresholds and handoff flows keep risky situations under control.
What you gain with an AI agent
24/7 first response
Customers get a first answer and direction regardless of business hours.
Time for your team
Repetitive questions stay with the agent; your team focuses on complex, sales-relevant work.
Cleaner data
The agent passes the information it collects to the CRM in a structured way.
Consistent answers
Everyone answers from the same up-to-date source.
Where AI agents are used
Customer support agent
Answer FAQs, create tickets, prioritize and hand over to an agent when needed.
Sales qualification agent
Ask about need, budget and timing, then log the qualified lead in the CRM.
Appointment agent
Offer available slots, book appointments and send reminders.
Policy / order status agent
Answer status questions based on the customer’s own record.
Internal knowledge assistant
Let employees search company documents in natural language.
Reporting agent
Let managers query data in natural language and get summaries.
What our agents include
- Knowledge base grounded in your company data (RAG)
- WhatsApp, website and email channels
- CRM and internal system integrations
- Conversation history and context handling
- Human-in-the-loop handoff
- Response rules and confidence thresholds
- Conversation logs and quality monitoring
- Multilingual responses
Technologies we use
We pick the model based on cost, speed, language support and data privacy needs.
How an AI agent is built
- 01
Discovery and task selection
We pick the most repetitive, measurable task and define success criteria.
- 02
Knowledge and rules
We organize documents, FAQs and business rules for the agent and identify gaps.
- 03
Build and integrate
We connect the agent to channels and systems and define its tools.
- 04
Test with real scenarios
We test with past conversations and hard examples and measure failure cases.
- 05
Go-live and monitoring
We roll out gradually and improve based on conversation quality and handoff rate.
Similar work we have delivered
Acentem Takip
Insurance Agencies · Divsoft Product
Customer, policy, quote, renewal and collection processes were brought together on one platform. Critical work such as renewals and overdue payments became automatic work lists, and customer communication moved to a single recorded channel.
Read the case studyİzy Dentiste
Dental Clinic & Health Tourism
The most common questions about treatments, timing, support services and contact options are gathered into a clearer pre-contact experience.
Read the case studyOften combined with AI agents
Frequently asked questions
What is the difference between an AI agent and a chatbot?
A classic chatbot follows pre-written scripts. An AI agent understands the request, answers from your company knowledge, takes actions with tools (e.g. creating a CRM record) and hands over to a person when unsure.
How long does AI agent development take?
A simple support agent takes 2–4 weeks; agents working with several systems can take 8–12 weeks.
How do you reduce the risk of wrong answers?
The agent works only with approved sources, under response rules and confidence thresholds. Critical actions require approval and unclear cases go to a human.
Which languages can it handle?
The models we use answer in many languages including Turkish, English, German, Russian and Arabic. We define language rules for multilingual audiences.
Let’s start your first AI agent with the right task
In the free analysis we identify the best task for an agent, the knowledge it needs and how it will be measured.