AI agents and assistants for business — working with your data.

We build AI assistants and agents that use your company's documents and work with your systems. Their tasks are tailored to your organisation's processes. We deploy AI on your premises or in a private cloud, with agreed access and oversight rules.

Business process improvement
Documents and dataYour company knowledge
AI agentWorking with selected sources
Response or taskSupport for everyday work

Start with a task your team repeats every day

Answers based on company documents

An assistant helps people find information in procedures, manuals and documentation. We design the solution to respect user permissions and make answer sources traceable.

Support for handling requests

AI helps summarise a case's history, suggest a category and draft a response. In Mint Service Desk, AI can support the person handling a ticket using its contents and the available knowledge.

Search by meaning

Employees ask questions in their own words, and the system helps find relevant information. In an Apache Solr environment, we can combine keyword search with semantic search.

Solutions shaped around your process

We design how AI works with your existing tools. We define which information an agent may retrieve, which actions it may take and when a human decision is required. Integrations and the agent's level of autonomy are agreed separately for each project.

Do these situations sound familiar?

Explore use cases ↗

These stories feature fictional companies and people to illustrate potential uses of IP Partner solutions. Portraits were generated with AI.

Marta

Sales Director at an industrial equipment supplier

Illustrative use case · AI agents and assistants

Every new quote began with finding an old one

A customer asked whether our pump would work in their installation.

More time for customer conversations, and better preparation for them.

Read Marta's story
Andrzej

machinery service manager

Illustrative use case · AI agents and assistants

Our most experienced colleague could finally switch off his phone

When Paweł took time off, everyone still called him.

A more independent team, with knowledge available even when its author is away.

Read Andrzej's story
Ewa

customer service manager at a logistics company

Illustrative use case · AI agents and assistants

The customer said: “At last, someone has read the whole case”

The most difficult complaints had a long history.

Continuity of service that customers notice, even when their contact changes.

Read Ewa's story

Define what AI can access and what it can do

We start with data, permissions and operational boundaries. We choose local models, ways to share knowledge and rules for recording operations. Before launch, we check data flows and what maintaining the environment will require.

Your own infrastructure lets you manage where data is processed and who can access it. We assess answer quality, performance and oversight using scenarios from your organisation.

Test AI in one process first. Then decide whether to expand

  1. Choose the task and data on which to test the solution.
  2. Agree the expected quality, response time and access rules.
  3. Run a pilot and compare the results with your current way of working.
  4. Present findings, requirements and a proposed scope for production deployment.

What will you receive after the pilot?

You will receive a summary of the results, an assessment of answer quality and speed, and an explanation of the solution's limitations. We will also present technical requirements and a deployment proposal, so you can decide on the next steps.

What does an AI deployment include?

We define the scope after the pilot. We agree knowledge sources, system integrations, user permissions, action approval rules and acceptance criteria. The proposal also sets out maintenance responsibilities and the costs of subsequent stages.

IP Partner delivers the solution for your business. We use ONPREMA.ai, a solution developed by ITSM Software S.A.

Your questions answered

Can AI run in our own environment?

Yes. Our offering covers on-premises infrastructure and private clouds. We match hardware requirements and maintenance arrangements to the model, data and workload.

Will the agent carry out tasks independently?

We agree the level of autonomy for each process. It may include preparing suggestions, acting after approval or carrying out selected actions automatically. We verify the available integrations and safeguards before deployment.

How much does deployment cost?

The price depends on the use case, data, integrations and infrastructure. Our proposal sets out the costs of the pilot, deployment and maintenance.

Which task could AI help with?

Choose a process where your team spends a lot of time finding information, analysing it or answering recurring questions. Let's work out where to start.

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Contact: office@ippartner.pl