First conversation
We review your request, the tools in use and the information available.
AI agents for your company’s work
Call a contact, search for information, prepare a case. We start with a specific task, define which data and tools the agent can use, and when it must ask for human review.
Yempik designs and develops custom AI agents. A project defines the task, integrations with existing systems, and testing with the people who will use the software. Timelines and terms depend on the agreed work.
What tasks can it perform?
Responds and routes
It handles incoming email and requests, classifies them, and opens cases in your business system according to the agreed rules.
Talks on the phone
An AI front desk that answers, opens cases, and updates the operational CRM, like Lia for property managers.
Prepares operations
It can prepare a document, update data or forward a request using the tools specified for the project. Actions that require confirmation remain subject to review.
Transparent pricing, scoped for each project
Published rates are indicative. After clarifying the work and integrations, we define the scope and terms in writing. See all the pricing details.
From request to handover
Technical proposal
We put the work, estimated timeline, costs, and responsibilities in writing.
Initial version to test
We build an initial version to test the agreed functions and integrations before extending the project.
Ongoing support
We document how the system and integrations work, agree how to launch it, and define any support needed after handover.
How we handle the project
You talk to the people who build it
In the technical conversation, we review the request with the people who will design and develop the system.
Documented handover
Documentation and access are defined for each project along with the handover terms.
Terms set for each project
We put timelines, costs, and responsibilities in writing after clarifying the work.
Data and integrations
For each project, we define which data and tools are involved, access, and data-processing terms.
Projects and products developed by Yempik.
Lia: AI front desk and CRM for property managers
It answers the phone for residents, opens cases in the operational CRM, and organizes work with vendors. You always know what it handles on its own and what it passes to you.
Discover LiaEnergy call centre: a voice agent for callbacks
After an online enquiry the agent calls the contact back, explains products and prices from a defined source, handles objections and hands the conversation to an operator.
Read the caseWhat companies ask us before getting started
- Is Yempik an AI agent development agency for companies in Italy?
- Yempik designs and develops AI agents for specific business tasks. We review the process, define which data and tools are involved, and agree on the project work, timeline, and terms.
- How much does an AI agent cost for a small or midsize company in Italy?
- Indicative rates for some types of projects are listed on the pricing page. The final cost depends on the work, data, and integrations required; we define the scope and terms after reviewing the request.
- How long does it take to get an AI agent up and running?
- Timelines depend on the task, integrations, and testing required. After reviewing the request, we agree on the project stages and estimate them in writing.
- Do I own the AI agent’s code?
- Repository, documentation, access, and software rights are defined in writing for each project. Before work begins, we also agree on handover and future maintenance.
- How are data protection and retention defined?
- This depends on the project’s data and architecture. Before work begins, we define providers, access, processing, and retention terms; the related agreements are reviewed for each case.
- What’s the difference between an AI agent and a chatbot?
- A chatbot answers questions with predefined responses. An AI agent understands a request, decides what to do, and carries it out: it sorts email, opens cases in your management system, takes bookings. In short, a chatbot talks; an agent acts on your business processes.
- When does it NOT make sense to use an AI agent?
- When volumes are very low (a handful of requests a day), when the process changes every month and isn’t stable yet, or when the goal is just to “say you have AI.” In these cases Yempik advises against the investment: fix the process first, then automate it if it’s worth it.
- Do I need an in-house IT department to use an AI agent?
- An in-house IT department is not always necessary. It helps to have someone who knows the process and can take part in reviews; technical work and integrations are defined for each project.
- How can SMEs automate business processes with AI?
- SMEs can start with repetitive, measurable work such as document handling, customer support, data entry, or reporting. Yempik reviews the workflow and assesses the tools and integrations required before defining the project.
Tell us the process you want to automate.
We review the request and agree on the next step together.