Debster.ai × Light IT
prepared for Debster.ai by Light IT

Hi Przemysław — before we talk, we spent real time with your product and the market around it.

Your edge isn't a feature. It's breadth — and the enforcement loop nobody else reaches.

You cover the whole journey — creditor → workflow → komornik → court — anchored on a product that's already live and generating real enforcement data. We can build at exactly that depth. And we can start with something that needs nothing from you.

See the starting pilot ↓ Where we fit (and don't)

What stood out

We see your moat — and we respect it.

Most vendors read the deck. We looked at the product and the competitive picture around it, so we're not here to explain your own market back to you.

BREADTH

The whole journey

From the first overdue invoice to court and bailiff enforcement — one continuous loop, not a single stage.

LIVE DATA

Real enforcement signal

Built on a product already in market (mKomornik) — you learn from outcomes others never see.

THE END NOBODY OWNS

Komornik + court

The enforcement end of the ladder is yours. It's the part competitors structurally can't reach.

Take Vindicat as the natural benchmark: scaled and good at SME self-service, but it stops at the pre-legal stage — no enforcement step, rules rather than learned recommendations. You reach exactly the part it doesn't. Your move to broaden the product, closer to the end-user, reads to us as the right bet — a sign you're on track, not a sign of a gap.

A second signal worth naming

The global frontier is raising the experience bar — and validating your direction.

Digital-first, personalised, multichannel collection journeys. Reference points for where experience is heading — not your competitors.

TrueAccord · US

ML-driven digital consumer collections, self-serve payment. Sets the self-service bar.

PAIR Finance · Berlin

AI + behavioral science, 550+ clients across DACH & EU. Personalization at scale.

Murphy · Barcelona

Agentic voice-AI, 30+ languages, multichannel debtor outreach.

InDebted (+ Receeve) · AU / DE

Digital-first AI collections, marketed as "full lifecycle to resolution."

What's striking: even the most lifecycle-ambitious of them stops at consumer resolution — none reach the enforcement end (komornik, court) that you own. So the opportunity is twofold: bring that rising experience bar into your SME product, while your defensibility stays where none of them go.

Straight talk

Where we can genuinely help — and where we won't pretend to.

Where we help

  • Product & UX for non-expert users — guided recovery journeys, onboarding, decision-support interfaces.
  • The AI engineering underneath — turning enforcement data into a "best next action" recommendation, document-to-claim intelligence, and the evaluation that keeps it trustworthy.

Where we won't

  • Go-to-market, growth-marketing, SaaS sales scaling.

That's a different craft — you'll get more from specialists there, and we'd rather be straight about it.

Field, not a proposal

Once we started looking, the build space opened up fast.

A handful of pilot directions, just to make this concrete — grouped by what each needs from you and what it proves.

Six pilot directions for Debster.ai × Light IT, grouped by data dependency and what each one proves.

The one that resonates most with us

Start now No data needed

SME Guided Recovery — a UX prototype

A guided journey for a non-expert: from an unpaid invoice to a clear, recommended next action — in plain language, on the authentic Polish ladder.

  • Needs nothing from you to start — no data access, unlike the deeper AI pilots.
  • High value, and it rides exactly where the market is heading: fewer intermediaries, closer to the people who have the problem.
  • It makes the handoff to your enforcement strength legible — without faking the depth that genuinely needs your data.
Open the live prototype ↗

The real question

Does any of this resonate?

Do you see the match in these directions — or in others we haven't named? And are there blockers on your side we should know about?

One thing we'd want to understand early: for the deeper AI pilots, what enforcement data could we work with — even an anonymized sample? That single question shapes how far we can go together.
Anton Dobrodytskyi Light IT — for Debster.ai