For Swiss SMEs & Financial Institutions

Custom software.
Real analytics.
AI advice, if you want it.

I'm not a consultant running workshops. I'm a founder and developer who analyzes your data, builds the software and analytics platforms — like ARCOS — your organization actually needs, and takes on an advisory role for digitalization, automation and AI questions only when you want one.

30 minutes, no obligation — a clear, honest read on your situation.

Tap or hover over each layer
How I Work

Analysis and software first. Advisory only if you want it.

Many firms get offered an «AI transformation» before anyone has looked at their actual data or processes. I start the other way round: understand what's really going on, build what's needed — and offer an advisory conversation on top, never as the default.

Analyze

I look at your processes, data and organizational structure and tell you plainly what's actually there — no slideware, no jargon.

Build

Custom software and analytics platforms — including ARCOS — designed for your organization and installed in your own infrastructure.

Advise — on request

If you'd like a second opinion on digitalization, automation or AI, I take on that role gladly — as an advisor, not a vendor pushing a package.

The Three Pillars

AI Advisory, Analytics Platforms & Custom Software — in that order of dependency.

Each pillar can stand on its own. But together they follow a logic: software creates the foundation, ARCOS creates visibility, and AI advisory only earns its place once the first two are there.

Pillar 1

Custom Software Development

«Does your software actually fit how your business works — or are you working around it?»

Off-the-shelf tools rarely fit a Swiss SME or financial institution exactly. I design and build software tailored to your processes and data — yours to own and run, not rented from a platform.

What you get

  • Software that matches your actual workflow, not a generic template
  • Full ownership — the code and the data are yours
  • No vendor lock-in and no recurring SaaS surprises
  • A technical foundation the next two pillars can build on
Pillar 2

Analytics Platforms (ARCOS)

«Do you actually know what's happening in your organization — or are you guessing from outdated reports?»

ARCOS is my own People Intelligence platform: it turns scattered organizational data into a live, decision-grade picture — skills, bottlenecks, workload and risk, always current.

What you get

  • Skills and knowledge mapped automatically from real work, not surveys
  • Bottlenecks and single-person risk visible before they become a crisis
  • Decisions based on the organization's current state, not last quarter's spreadsheet
  • Runs on-premise — nDSG-compliant, no data ever leaves your infrastructure

Honest note: you may not need AI advisory at all.

For many organizations, the first two pillars already solve the actual problem: clean data, a working analytics platform, decisions grounded in reality. AI is only worth discussing when it solves a concrete problem measurably better than that — and I'll tell you plainly if that's not the case. That's the difference between an advisor and a salesperson.

Pillar 3

AI Advisory

«Where would AI genuinely help — and where would it just be theatre?»

When there's a real transformation question — digitalization, automation, or where AI fits — I'm available as an advisor: an outside perspective from someone who implements these systems himself, not someone selling a package.

What you get

  • An honest read on whether AI solves your actual problem
  • Advice from someone who implements, not just presents
  • No retainer required — engaged only if and when you want it
  • On-premise options throughout, so advice stays practical, not theoretical
The Honest Numbers

AI is not a cure-all — most projects fail.

Not because the technology is bad, but because the foundation is missing: clean data, working systems, a real business case. The major 2025/2026 studies agree:

95%
of enterprise GenAI pilots deliver no measurable business return — despite $30–40 billion in investment.
MIT NANDA, «The GenAI Divide», 2025
42%
of companies scrapped the majority of their AI initiatives in 2025 — up from just 17% the year before. On average, almost every second pilot dies before production.
S&P Global Market Intelligence, 2025
>50%
of GenAI projects were abandoned after the proof-of-concept stage by the end of 2025 — more than the original 30% forecast.
Gartner, 2024/2025

Why do they fail? The studies keep naming the same reasons — and none of them is «the AI wasn't good enough.» The foundation is almost always missing. That's exactly why I work bottom-up: software first, then analytics, and only then — if it's warranted — an AI conversation.

Sources: MIT NANDA, «The GenAI Divide: State of AI in Business 2025» · S&P Global Market Intelligence, Voice of the Enterprise: AI & Machine Learning 2025 · Gartner press release 07/2024 and 2025 follow-up analysis — details on request.

How It Works

No workshops. No retainer traps. Just useful steps.

Every step is quoted as a fixed price beforehand — you always know what you're getting. You decide freshly after each one.

Intro Call

30 minutes, in person or by video. You describe the situation, I tell you plainly whether and how I can help.

free

Analysis

Within a few days, I look at your data, processes and systems and hand you a clear, prioritized picture — not a hundred slides.

Fixed price — quoted upfront

Build

Custom software or an ARCOS deployment for your most pressing issue — built and proven on your real data before you commit further.

Fixed price by scope

Advisory — optional

If you'd like an ongoing sounding board for digitalization, automation or AI decisions, I'm available — on request, never by default.

Ad hoc or monthly, your choice
ROI Calculator

What's the return on a working system?

Conservative model: the benefit comes from less coordination and admin overhead, with a risk discount against wishful thinking. Every assumption is adjustable.

Your Organization
Employees90
10500
Avg. annual salary (fully loaded)CHF 95,000
60k150k
Coordination/admin share of work time25%
10%40%
Efficiency gain on that share4%
1% · deliberately cautious12%
Investment & Caution
One-time project investmentCHF 25,000
5k100k
Ongoing costs per year (hosting, maintenance)CHF 12,000
060k
Risk discount on the benefit30%
0%50% · against double-counting
Productive hours per employee per year1,800 h
1,6002,000 · CH avg ~1,800
Net benefit per year
after ongoing costs and discount
Payback
until the investment is recovered
Capacity gained
Net per employee
per year

Method: payroll total × admin share × efficiency gain, minus the risk discount, minus ongoing costs. Capacity in hours works the same way. This is an orientation model — the reliable number comes from the analysis phase, using your real data.

Patrick Jauslin, founder of Quantix Systems
24+
Years in Swiss Financial Services
  • Deep background in receivables management and debt collection — hands-on, not just advised
  • Builds analytics and AI systems himself — nothing outsourced to third parties
  • Works nDSG- and FINMA-aware — important for banks and insurers
  • Based in Möhlin, AG — short distances across Northwestern Switzerland
About Me

Patrick Jauslin — I build things; I don't hand out slide decks.

I spent over 24 years in Swiss financial services and saw firsthand where digitalization and AI projects actually fail: rarely the technology, almost always missing groundwork and concepts nobody can use.

That's why I work differently: I analyze, and I build the software myself — running in your own infrastructure. If you want an advisory conversation on top, I'm glad to have it — but it's never assumed, and never the default engagement.

«Clarity, not slides.» That's the standard I hold every piece of work to.

My Platform

ARCOS PI — the tool behind pillar two.

For the analytics pillar, I bring a finished, proven platform — installed in your environment, with no cloud dependency.

People Intelligence

ARCOS PI

ARCOS PI is an organizational intelligence system for leaders. It makes visible what's actually inside your organization — and answers the questions nobody else can reliably answer: Who can do what? Where are the bottlenecks? What risks are hiding in knowledge and staffing?

The system learns from day-to-day work — skills don't need to be maintained by hand, they're recognized from actual activity. Leadership decisions rest on the organization's real state, not outdated lists.

  • Skills & knowledge map — where knowledge lives, where the gaps and concentration risks are
  • Find experts — questions land automatically with the people who can answer them
  • Bottleneck & risk analysis — critical knowledge sitting with one person becomes visible before they leave
  • Team & staffing decisions — the matchmaker suggests the right people for a project
  • Overload detection — who's carrying too much, where work is piling up
  • Leadership cockpit — the state of the organization at a glance, not across twenty lists
On-premise means: your data stays inside your company. No external cloud services, no dependency on tech giants — compliant with the Swiss Data Protection Act (nDSG) and FINMA expectations.

Let's find out what your organization actually needs.

A call or an email is enough. In a free 30-minute intro call, we'll work out honestly whether and how I can help — even if the honest answer is «not yet.»

Quantix Systems · Patrick Jauslin · Heidenweg 3, 4313 Möhlin · quantixac@gmail.com · quantixac.com