Case study · AI & automation

A helpdesk that works like a well-coordinated team

The multi-agent AI system analyzes notifications, cooperates with company systems and automates service. People get involved where their decision is really needed.

Integration with the current helpdesk Human control Full decision audit
AI helpdesk office · live 8 online agents
INBOX
DONE
Classifierreads the ticket
classifier
Data agentinvokes the tool
context
Status agentanalyzes
status
Reply agentwrites the answer
response
Quality controlverifies
quality
Escalation agentmonitors
escalation
Agent of historyreads the conversation
history
Tool agentperforms an action
tools
TOOL CALLget_context()✓ data ready
ESCALATIONConsultation required
01 · Ticket arrives02 · Classification03 · Data and response04 · Control
24/7automatic analysis of new reports
5+specialized agent roles
1consistent process from message to response

Graphically

It's not a chatbot. This is a digital office of specialists.

In a regular office, the reception desk recognizes the topic, the analyst collects information, the specialist solves the case, and difficult decisions go to the leader. The multi-agent system reproduces the same cooperation model.

Reception

Classification agent

He reads the report, recognizes the intention and refers the case to the appropriate specialist.

Analyst

Data agent

Downloads the necessary context from company systems and checks its validity.

Specialist

Solving agent

Selects next steps, uses tools and prepares a solution.

Quality control

Escalation agent

Recognizes uncertainty and transfers unusual matters to a human.

Service flow

From message to action in a few controlled steps

  1. 01

    A report is received

    The system receives a message from an already used service channel.

  2. 02

    AI understands the matter

    Recognizes intent, important data, and level of confidence.

  3. 03

    Agents cooperate

    The case is passed between specialists who use the right tools.

  4. 04

    Response or escalation

    The ready answer goes to the helpdesk, and exceptions go to the human.

Agents and tools

Each agent has their own set of tools

It is not one model that knows everything. A case is handed to a specialized agent, which uses specific tools wired into the client’s systems — from reading data to real actions, such as issuing a refund or retrying fulfillment.

Routing agent

Recognizes the ticket’s intent and routes it to the right specialist.

Status

Status agent

  • Read case
  • Conversation history
  • Draft reply
Fulfillment

Fulfillment agent

  • Read case
  • Retry fulfillment
  • Confirmation
Returns

Returns agent

  • Verification of conditions
  • Refund
  • Confirmation
Control

Escalation agent

  • Confidence check
  • Hand off to a human
Client systems

Tools connect via adapters - replacing the system does not change the agent process.

Status check Refund Retry fulfillment Escalation to human

marks a tool that performs a real action in the client’s systems. Every such action passes a confidence threshold, and when in doubt it goes to a human.

What makes the solution stand out?

Automation you can trust

The system was designed to operate in a real operating environment: with current data, exceptions, failures and responsibility for decisions.

Man still has the last word

AI takes over repetition. The team maintains control over unusual and sensitive matters.

A process instead of a single prompt

Each request goes through a predictable graph of decisions, roles and security.

Data-driven answers

Agents can safely use up-to-date information in the organization's systems.

Human-in-the-loop

Confidence levels, test mode and escalations keep the human right where he is needed.

Agnostic integrations

Adapters allow you to change helpdesk, data sources and models without rebuilding the process.

Automatic 24/7 service

Repetitive issues can be resolved from start to finish without waiting in line.

Full decision trace

The dashboard shows agents' next steps, tools used, time and reason for escalation.

Technology stack

The best model for a specific role

Architecture does not tie a process to a single model. Individual roles can use families OpenAI GPT and Anthropic Claude, selected for quality, speed and cost.

  • LangGraph coordinates the cooperation of agents
  • Python implements the AI ​​and tools layer
  • .NET integrates business systems and processes
  • Event queues ensure reliability
Helpdesk
AI Brainagent graph
OpenAI GPTAnthropic Claude
Company data
Service team

Your process, your digital team

Do you have a queue of cases that is growing faster than your team?

We will design agents, integrations and control principles tailored to the way your organization operates.

Let's talk about the project