AI agents for businesses

AI agents for chat, calls, booking, and internal systems.

We set up agents that answer customers, handle basic conversations, check CRM, ERP, spreadsheets, and documents, book meetings, open tasks, and write the result back into the system. Every action has a rule, permission, human handoff, and trace.

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Operational agents

Conversations, knowledge, and internal systems

pilot ready
Illustration of AI agents connected to messages, voice, and business systems

Channels

Web chat WhatsApp Viber Instagram Email Voice Phone

Systems

CRM ERP Knowledge base Spreadsheets Tasks Reports MCP

Focused offers

Choose the first agent type

If you already know where the biggest problem is, start from a dedicated page. Each one covers a single entry scenario, objections, integrations, and the first pilot.

Website and message chatbot

For common questions, request qualification, WhatsApp/Viber flows, and handoff to sales or support.

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Voice AI agent for calls

For basic calls, request intake, transcript, summary, and human handoff.

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AI sales agent

For sales requests, qualification questions, appointment suggestions, CRM summaries, and next steps while interest is fresh.

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Internal AI agent

For CRM, ERP, documents, statuses, tasks, and internal workflows the team checks manually today.

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AI agents are not only a sales chat

They can be public-facing agents for customers, internal agents for employees, or voice agents for calls. What matters is access to the right knowledge, approved tools, and clear operating rules.

Internal agents for teams and systems

They work inside the company: search documents, check CRM/ERP, draft answers, open tasks, and help people use business data faster.

CRM/ERP Knowledge base Tasks Reports MCP tools

Customer-facing agents

They answer visitors, buyers, and applicants in the channels where questions already arrive, collect details, and move people to the next action.

Website WhatsApp Viber Instagram Email

Voice and phone agents

They can cover browser voice or phone calls with transcripts, rules, permissions, and human handoff when needed.

Browser voice Phone calls Transcript Handoff

Text example

How an agent offers a slot and prepares the request

The example is from a sales conversation: the client asks for a consultation, the agent offers appointment slots, collects context, and leaves the team a clean request to confirm.

Outcome: the team receives the selected slot, contact, location, and conversation context without manually copying details from messages.

Demo conversation

Agent ready

Client

Hi, I am interested in installing a heat pump for a house of around 140 m². Can I schedule a call?

AI agent

Of course. I can offer a consultation slot. Which works better for you: Tuesday at 11:00 or Wednesday at 16:30? Please also send the city and contact phone.

Rule: ask for location, contact, and selected slot before sending to sales

Client

Wednesday at 16:30 works. The house is in Pancevo, phone is 060 123 4567.

AI agent

I noted the request for Wednesday at 16:30: heat pump consultation, 140 m² house, Pancevo, contact phone. The team gets the summary and confirms the slot.

Action: the agent sends the summary and proposed slot, while a person confirms availability

Static example

When knowledge, systems, and conversations stay disconnected

The first agents are not always sales agents. They are often most valuable where a team searches across tools, copies information, and repeats the same steps.

Teams search for data by hand

People check CRM, ERP, spreadsheets, orders, tickets, and documents just to answer a simple question.

The same requests repeat

Customers and employees keep asking for statuses, rules, timelines, terms, documents, reports, and the next step.

Tools are disconnected from work

The conversation, task, and data live in different places, so the team manually moves information between systems.

There is no clear trace of what agents did

Without conversation logs, tool calls, approvals, and human handoffs, it is hard to put AI into production.

What agents can do inside the company

Search approved documents, procedures, catalogs, previous tickets, and internal knowledge bases
Check the status of an order, ticket, case, appointment, invoice, or internal request
Create or update a record in a CRM, support platform, spreadsheet, ERP, or internal tool
Prepare a response, summary, task, report, or recommendation for an employee
Answer customers through web, WhatsApp, Viber, Instagram, email, voice, or phone

Channels and systems agents can connect

We do not claim every integration is prebuilt. The point is that agents have a clear entry point, an approved tool, and a verifiable result in the system you already use.

Message channels

Website chat, WhatsApp, Instagram/Meta, Viber, email, browser voice, and phone calls.

Web chat WhatsApp Instagram/Meta Viber Email Browser voice Phone calls

Internal systems and data

CRM, ERP, knowledge bases, spreadsheets, calendars, and systems where statuses, requests, appointments, and business data live.

CRM/ERP Knowledge bases Google Sheets/Airtable Calendars Internal API

Operations and support

E-commerce, ticketing, knowledge bases, ERPs, or internal APIs for checking and creating requests.

WooCommerce/Shopify Zendesk/Freshdesk Notion/Drive ERP/API MCP tools

How agents work without a black box

The flow is intentionally visible: a request enters, agents detect intent, check knowledge or data, use an approved tool, write the result, hand off when needed, and log everything.

01

Understands intent

Separates a customer question, internal request, status check, task, booking, complaint, or handoff request.

02

Checks sources

Answers from approved knowledge, catalog data, policies, previous tickets, or business records.

03

Uses a tool

Calls only connected and approved tools: CRM, ERP, calendar, ticket, order status, spreadsheet, or internal API.

04

Requests confirmation

Risky changes, sensitive topics, and uncertain answers go through human approval or direct handoff.

05

Leaves a trace

The conversation, summary, tool call, result, and handoff reason remain available to the team.

Types of agents we build

Internal operations agents

Help the team find data, check status, open a task, prepare a response, or update a record without manual copying.

Customer and support agents

Answer routine questions in chat, email, or calls, check statuses, and hand off when the answer is uncertain.

Sales and booking agents

Catch the request while it is fresh, ask qualification questions, book the next step, and send the team a clean summary.

How we start with the first pilot

01

Pick one channel and one task

For example: internal knowledge agents, CRM/ERP status checks, support, booking, or lead qualification.

02

Define sources and permissions

We separate answers, status checks, automatic steps, and steps that require human confirmation.

03

Build the first guarded scenario

Agents answer from approved sources, use only allowed tools, and record what they did.

04

Test real requests

We test conversations, handoffs, accuracy, and usefulness before expanding to more channels or processes.

Guardrails that make agents usable

Citations by default

Users can see the source behind important answers instead of trusting a black-box response.

Permissions for knowledge and actions

Sensitive knowledge and business actions can be limited by team, role, client, or task type.

No silent risky steps

Agents can draft and recommend, but important changes first ask for confirmation from the right person.

Teams we support

Trade, distribution, and commercial teams Manufacturing, procurement, and internal operations teams Logistics, transport, and dispatch customer teams Administration and knowledge teams in professional services

Questions clients usually ask

Can an AI agent work in Serbian?

Yes. It can work in Serbian and English, and we tune the tone, vocabulary, and response rules to your business.

What happens if the agent is wrong or unsure?

For unclear or risky cases, the agent does not need to invent an answer. It can ask for more detail, mark uncertainty, or hand the conversation to a person.

Can it use CRM, ERP, or internal documents?

Yes, when the technical conditions exist. We first define what it may read, what it may prepare, and what requires human confirmation.

Does the agent only answer, or can it take action?

It can use approved tools: create a lead, open a task, check a status, suggest a meeting slot, or prepare a report. Important actions can require confirmation.

How long does the first pilot take?

We usually start with one channel and one task. That kind of pilot can be defined and tested much faster than a large system with several processes at once.

Is this a replacement for support or sales people?

It does not have to be. Most first pilots remove repetitive requests, collect details, and prepare a clean summary while a person handles more complex conversations.

Want agents that work inside internal systems, not only in chat?

Send us one process, three common requests, and the tools you use today. We will suggest the first scenarios that can be tested without a large rollout risk.

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Ready to automate and ship real AI value?

Tell us about your workflow and goals. We respond within 1 business day with clear next steps.

Based in Serbia, working worldwide.

Prefer email? Write to [email protected]

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