Financial answers you can act on

We primarily work with Polish-owned manufacturers, as well as wholesalers and multi-site trading businesses. We adapt the engagement to how decisions are made: directly with the owner, or with a management team and the stakeholders involved in approval.

Working with the owner

Did this order actually make money?

Your external bookkeeper holds the financial records. Orders, production and stock live in your ERP and spreadsheets. Nobody owns the connection, so the answer arrives after month-end, too aggregated to act on.

The goal: Order, product and customer margins available in days. A repeatable process your team can take over, instead of relying on the owner’s memory.

Who we work with: The owner, operations or production manager, and external bookkeeper.

When it becomes urgent: A raw-material cost shock, a new plant, succession or refinancing.

Working with a management team

Can you verify the group’s reported result?

Companies use different systems and definitions. One person assembles the group report in a spreadsheet and adjusts intercompany transactions from memory. Each new entity creates another round of manual fixes.

The goal: A verifiable group result, a shorter monthly close and margins by entity, product and customer. Figures the CFO can explain to the owner or bank.

Who we work with: The operations or finance director, with the management team and stakeholders responsible for approval and handover.

When it becomes urgent: An acquisition, a new CFO, bank requirements or succession.

We start with an audit: data flows, the cost of manual work, priorities and a small working result. A sprint fixes one costly manual connection. A larger build adds the data layer or application you need. Each stage has a fixed scope, price and end point, with a named person or provider to take over the result.

A practical path from problem to working system

Start at the stage that matches what you already know. Each engagement has its own useful outcome, and you are free to stop before the next one.

See the complete implementation path
  1. AI Opportunity Audit

    Trace disconnected financial and operational records, quantify manual work, and receive ranked priorities plus one small working result.

    From $1,500 net
  2. Implementation Sprint

    Turn one selected opportunity into a working implementation with a metric, live-data test, and handover.

    $6,000 net
  3. Custom Development

    Extend validated work across more processes, integrations, teams, or a deeper software and data architecture.

    Individually scoped

All services

Capabilities selected to fit the diagnosed problem. Every service has a dedicated page with its scope, outcome, and next step.

Diagnose and prioritize

AI Opportunity Audit

Trace disconnected financial and operational records, quantify manual work, and receive ranked priorities plus one small working result.

From $1,500 net
Implement one improvement

Implementation Sprint

Turn one selected opportunity into a working implementation with a metric, live-data test, and handover.

$6,000 net
Build custom software

Custom software development

AI-native custom software built fast and built right — for companies that can't afford to get internal tooling wrong.

Digitalize & automate

Business process automation

When orders are entered twice, reports need rebuilding, or documents wait for someone to move them between systems, the first task is to find the bottleneck. We assess the workflow before choosing an integration, automation or AI.

Architect AI systems

AI systems & agent development

Production-grade AI agents, RAG, and semantic layers need to be modular, observable, and realistic about what fails in production.

Train & teach

AI training & workshops

Hands-on AI and engineering workshops for teams and leadership, designed around what people need to ship, not just what is trendy.

Acquire & improve

Technical due diligence & post-acquisition improvement

Technical due diligence is useful only if it identifies real software and operations risk before a deal and creates a practical improvement path after it.

Advise & lead

Fractional CTO & CPO

Part-time product and technology leadership for teams that need senior direction close to execution.

How we work with customers

Technology is a means, not the deliverable. The work is designed around value, reliability, and the people who will own the result.

Outcome before output

We agree on the blocked decision, process, or measurable result before choosing a system to build.

ROI before novelty

We do not recommend AI, automation, or custom software when a simpler change creates a better return.

Reliability before autonomy

When a process cannot be automated safely, we keep a person in control or recommend not automating it.

Fixed scope, price and handover

We agree scope, price, acceptance and an end point before delivery. We document the result and hand it to your named owner or provider. Ongoing maintenance is a separate responsibility.

A governed internal platform architecture spanning modular AI services, controlled data access, employee workspaces, and operational visibility.

We shaped and built a complete two-sided product connecting company press briefs with journalist and editorial profiles.

Governed AI, data, and software for regulated teams that need traceability, controlled access, and dependable operations across regions.

Custom software and AI for organizations that discover, interpret, match, and operationalize grant opportunities across complex programmes and languages.

Questions before we start

We know what is going wrong, but not what technology we need. Can you still help?

Yes. We start with the operational constraint and identify the highest-value intervention. The answer may be process redesign, automation, a data layer, AI, or custom software—the technology follows the diagnosis.

Do we always have to start with the first stage?

No. An unclear operational problem normally starts with an audit. If the deliverable, interfaces, acceptance criteria, and budget are already defined, the work can begin with a sprint or custom development.

Can we stop after the audit or implementation sprint?

Yes. Every stage has its own scope, deliverable, price, and end point. The audit is useful on its own, and a sprint delivers one working result without requiring a larger build.

How do you decide whether an idea is worth automating?

We examine the real workflow, the cost and risk of manual work, avoidable errors, expected return, and who owns the process. The assessment can also conclude that an idea should not be automated.

Can you work with our existing team or software provider?

Yes. Responsibilities, access, acceptance, and handover are defined in the scope so an existing team or provider can take ownership after delivery.

Who owns the result after the project ends?

The engagement ends with client control and a named post-delivery owner. Source-code and IP transfer, repository access, infrastructure, documentation, and handover terms are agreed for each engagement.

What happens when a process cannot be automated reliably?

We do not force automation. We may recommend improving the data or rules first, leaving the process manual, or using AI only as controlled assistance while a person makes the final decision.

Do you train the people who will use or take over the solution?

Yes. Handover can include training the person or team that will own the result. Separate AI and engineering workshops are also available.

Start with the business constraint

Describe the decision, process, or deadline that is blocked. We will identify the appropriate service or tell you when a different route makes more sense.

Describe the problem