AI consulting · process automation · data governance

AI consulting that puts artificial intelligence to work. For real.

You do not need another digital product. You need less paperwork, fewer systems that refuse to talk to each other, and fewer hours lost to retyping data. That is the work we take on.

Trusted by teams shipping AI to production

  • Żabka
  • UBS
  • EBM Dental
  • Startups & scale-ups
Capabilities

From mapping how the work runs today to systems in production

Senior engineers, not slide decks. We start by watching how the work actually happens, then automate the parts that cost you hours.

40+AI & software projects shipped across 8 industries
99.2%Straight-through processing on our document-AI pipelines
6 yrsBuilding AI & software systems since 2019
2 wksFrom kickoff to a working AI prototype, typically
Ways to work together

Start with one process, not a transformation programme

The same senior engineers whether you are a 15-person forwarder or a corporate department. Fixed scope, fixed price, and you know what lands at the end before we start.

AI Opportunity Workshop

Half day · fixed fee

Pressure-test your AI ideas against ROI and feasibility. Leave with a clear first move.

Best forOwners and ops leads, 10 to 500 people
What that looks like

Half a day with the person who actually runs operations. We walk through one week of real paperwork, count where the hours go, and leave you with two ideas worth funding and the list of ones that are not.

You leave with
  • Prioritized use-case shortlist
  • ROI & feasibility scoring
  • Your recommended first pilot
Most popular

AI Discovery Sprint

2 weeks · fixed scope

One use case, taken deep: data, feasibility and a working prototype. Commit with confidence.

Best forOne team with one painful process
What that looks like

Two weeks on a single process. Say delivery notes that arrive as PDFs, phone photos and email attachments: we run your real ones through a working prototype and show you how often it gets them right.

You leave with
  • Technical feasibility assessment
  • Working prototype
  • Costed delivery roadmap

GenAI Proof-of-Concept

4-6 weeks

A production-grade pilot on your data, measured on real evals and ready to pitch for rollout.

Best forA department that has to show a result upstairs
What that looks like

Four to six weeks turning that prototype into something your team opens every morning: wired into the systems you already run, with the checks, logs and access rules an auditor will ask about.

You leave with
  • Production-ready pilot
  • Evaluation harness & metrics
  • Rollout plan

Fractional AI Team

Monthly · ongoing

A senior AI team embedded in yours: strategy, engineering and MLOps, scaling with your roadmap.

Best forCompanies with no AI people of their own
What that looks like

A few days of senior engineering a week, on your board and in your standups. Cheaper than a hire, and you can stop at the end of any month.

You leave with
  • Embedded senior AI engineers
  • Strategy & MLOps support
  • Flexible monthly capacity

Every engagement starts with a free 30-minute call. You talk to the engineer who would do the work, and you get a straight answer on whether it is worth doing at all.

How we work

A clear path from idea to impact, no black boxes

The same path on every engagement. You always know where we are and what's next.

01

Map

We find where AI creates measurable value, and honestly flag where it won't yet.

02

Prototype

A working prototype in weeks. Decisions grounded in something real, not a slide deck.

03

Build

We engineer it into a reliable system: evaluated, observable, secure, production-ready.

04

Scale & enable

We roll out, hand over the knowledge, and stay on as advisors as you scale.

How much is manual data entry really costing you?

Most teams spend 20-30% of their time moving data between documents and systems. We automate that away.

Find out in 45 minutes
AI Report

How companies are putting AI to work

Explore the latest trends, numbers and practical recommendations for companies that want to turn AI potential into results.

Document AI

The real cost of manual document processing

Numbers and lessons from dozens of automation projects: where the hours go, what automation really saves, and how to start.

Dawid Kubicki
We never start with technology. We start with people. When you truly listen to what businesses need, the right choices become clear.
Dawid Kubicki
CEO & Founder, Pluscode

Tell us your hardest AI problem.

Book a 30-minute call. We'll map where AI creates real value in your business. No slideware, no obligation.

Book a call