We connect business and technology

Turn manual data handoffs into a working workflow.

We help you find where AI will genuinely change how your business works. Then we build the solution, roll it out and train your team to use it.

Book a 20-minute callExplore the audit

Leverage Labs connects business tools into one workflow. Example integrations appear on both sides.

Allegro
Microsoft
Google
Asseco WAPRO
InPost
Przelewy24
Comarch ERP Optima
wFirma
Livespace
Fakturownia
Symfonia
enova365
LeverageLabs

  • Connect

    Data from the tools your team already uses.

  • Check

    Data completeness and exceptions before the next step.

  • Automate

    Repetitive tasks within the agreed process.

  • Report

    Work completed and matters that need a human decision.

Your business has the tools. Let’s connect the work.

Software and AI agents built on your data and owned by you.

We integrate with your existing systems. When no ready-made integration exists, we build a custom one.

Integration options

  • InsERT / Subiekt
  • Comarch ERP Optima
  • wFirma
  • enova365
  • Symfonia
  • Fakturownia
  • Base.com
  • Livespace
  • Allegro
  • HubSpot
  • Salesforce
  • Pipedrive
  • Shopify
  • Stripe
  • Google Workspace
  • Microsoft
  • Slack

Why AI

These figures show results from two experiments and reports from businesses using generative AI. They are not Leverage Labs results or a guarantee of your outcome. Whether automation makes sense for your business depends on analysing a specific workflow. Time-related results should not be added together.

−25.1%

25.1% less time on consulting tasks with AI

Harvard/BCG · 385 consultants in this part of the experiment · tasks within GPT-4’s capabilities · published in 2026

Harvard/BCG
65%

65% of generative-AI-using SMEs report better employee performance

OECD 2025 · survey in 7 countries, excluding Poland · self-reported results

OECD
40%

40% less writing time in a ChatGPT experiment

MIT / Science 2023 · 453 participants · short writing tasks

MIT / Science

What we do

Four service groups

Consulting

Audit and feasibility.

Learn more

Illustrative example

Audit of one process

  1. Excel · ERPDone

    Process description and sample data

    Gather material from the tools already in use.

  2. InterviewsDone

    How the team does the task

    Talk to the people working in the process.

  3. Process mapDone

    Decisions and exceptions

    Document steps, constraints and exceptions.

Input
Process description and sample data
Work completed
Interviews, process map, list of exceptions
Outcome
A process map, initial implementation scope and estimate.

AI and automation

AI agents in the tools you already use.

Learn more

Illustrative example

From email to order

  1. OutlookDone

    Order email arrives

    A message reaches the team inbox.

  2. AIDone

    Read the order items

    The agent identifies products and required data.

  3. Comarch ERPDone

    Check product codes

    Compare items against the product catalogue.

    Complete

    Comarch ERPDone

    Save the order

    The data goes into ERP.

    Missing data

    OutlookAlternative path

    Draft a question for the client

    A person reviews the message.

Input
An order email
Work completed
Read items, verify product codes, save in ERP
Outcome
An ERP order ready for a person to confirm.

Custom development

Software designed around your team’s tasks.

Learn more

Illustrative example

One view of settlements

We build and test on your data before anything reaches your team.

$ build driver-settlements✔ Import: Excel and fuel cards✔ Validation: matched / needs review✔ Tests on a sample of client data✔ Office dashboard ready→ Handover for deployment
Input
Excel sheets and fuel card data
Work completed
Import, validation, an office dashboard
Outcome
One view of settlements instead of several spreadsheets.

Training

AI practice using your team’s tasks.

Learn more

Illustrative example

AI in the team’s daily work

  1. WorkshopDone

    Work on the team’s process

    Practise using a task from everyday work.

  2. InstructionsDone

    Step-by-step guidance

    Document prompts and how to check the result.

  3. AI agentDone

    The team works independently

    Run the task and improve the workflow.

Input
The team’s process and daily tasks
Work completed
Workshop, instructions, practice with an agent
Outcome
The team operates and improves the workflow independently.

Your code and data stay with you. Minimum permissions for integrations.

First, an example. Then, a conversation about your workflow.

Explore projects we have worked on, from documents and reports to connecting business systems.

Let’s talk about your workflow.

What an agent does

An agent works through the steps of a task across connected business tools. Explore three illustrative workflows, from receiving a message or document to taking action in a system and a human decision.

From finding the problem to a team ready to work differently.

  1. Audit

    Outlook, Excel, WAPRO and KSeF source menu over a process map.

    We learn your workflow and agree a small initial scope.You receive a workflow map, risks and acceptance criteria.

  2. Plan

    Proposal sheet: scope, obscured estimate and timeline; a comment about agreeing scope before building.

    Before development, you receive the scope, estimate and work plan.We discuss changes before carrying them out.

  3. Implementation

    Outlook, WAPRO, Livespace and Fakturownia connected to a ready agent.

    We connect the solution to the systems you already use.We test successive versions, including errors and missing data.

  4. Training

    Training player and checklist: daily tasks, recognising errors and own decisions.

    We train your team and provide instructions.Ongoing support scope and costs are agreed separately.

Process audit

One process. A concrete implementation plan.

Let’s discuss your audit

Two meetings and a report within five working days: the current process cost, what to automate, an implementation quote and a schedule.

We map users, data sources, decisions, exceptions and constraints. We choose a small initial scope.

The audit has a fixed price, shared during a 20-minute call. The audit price is deducted from implementation.

Data and ownership

Before starting, we agree on an NDA, code ownership transfer and data processing terms. Code and data remain with the client. We agree on deployment in the client’s cloud, minimum permissions and logs, and a DPA on request. The API provider’s terms on not using data to train models must be verified before selecting the service.

  • Process map

    Users, data sources, decisions, exceptions and constraints.

  • First implementation scope

    We choose a small initial scope.

  • Quote

    An implementation quote and a schedule.

Team

Maciek and Mikołaj

TODO: photo to be supplied by the owner.

Maciek

TODO: supply the first sentence of Maciek’s bio. TODO: the owner must approve the second sentence.

TODO: photo to be supplied by the owner.

Mikołaj

TODO: supply the first sentence of Mikołaj’s bio. TODO: supply the second sentence and obtain Mikołaj’s consent before publication.

FAQ

Questions before our first call

Working together

How do we start working together?

We start with a 20-minute call about the process you want to improve. We discuss the problem and the audit before pricing the implementation.

What do I get from a process audit?

The audit covers one process and two meetings, with a report prepared in 5 working days. You receive a process map, an assessment of current work costs, data sources and risks, and a proposed initial scope. The report also includes acceptance criteria, a quote and an implementation schedule.

How do I know whether AI fits my process?

During the audit, we assess what is worth improving and whether there is a business case. We examine data, exceptions and constraints, then propose a small initial scope. You do not need technical vocabulary to tell us about the problem.

Costs and timing

How much does the audit cost?

The audit of one process has a fixed price, which we share during the 20-minute call. The audit price is deducted from the implementation price.

What determines the implementation price?

We prepare a quote after the audit for a specific scope. We account for the process, required integrations, data sources, exceptions and constraints.

How long do the audit and implementation take?

The audit includes two meetings and a report in 5 working days. We define the build and implementation schedule for the selected scope and include it in the audit report.

Integrations

Do you need to replace the systems we already use?

We integrate with the systems your company already uses. During the audit, we assess how to connect them and identify the limitations of your current tools.

What if there is no ready-made integration for our system?

When there is no ready-made integration, we build a custom one. We define its scope after reviewing the systems, data and technical constraints.

Data and security

How will we agree on protecting company data?

Confidentiality and data-processing terms need to be agreed in the contract for each project. The selected providers’ terms and the required agreements must be verified before working with data.

Will I own the solution?

We build software and AI agents on your data, for you to own. The details of rights to code and data need to be agreed in the contract.

Book a call

Let’s discuss your project — choose a time that works for you.

Book a call