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Revylr — Reveal where AI can create the most value

AI is an opportunity.
Where should you start?

The AI Diagnostic is a paid engagement for SME owners and CEOs who know AI matters, but do not yet know where it can create the most value. We identify the priority opportunities, map the right processes and turn them into an implementation-ready plan.

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Choose your starting point

If you already know the process, go straight to Solution Design. If you do not, start here.

AI Diagnostic · Paid

I know AI can help — but I do not yet know where to start.

We look across your business, prioritise the strongest opportunities and define the first use cases to take forward.

You are on the right site: revylr.ch
See the AI DiagnosticSolution Design · No-fee discovery

I already know which process I want to improve with AI.

Go straight to Solution Design. In 2–3 working sessions, we scope the use case, understand your process and systems, and come back with a concrete Revylr implementation proposal.

Already know the process? Go to Solution Design →
The numbers

Most SMEs across Switzerland and Europe are experimenting with AI.
Not many are getting real value from it.

61%

of SMEs already use an AI tool

McKinsey State of AI, 2025
6%

describe the impact as transformational

McKinsey State of AI, 2025
40%+

of AI projects cancelled by end of 2027

Gartner, June 2025
Read more — why most AI efforts fail ▼

Most people’s experience of AI is a smarter search engine. That is useful — but it is not where the business value is.

Agentic AI is different. It does not answer questions. It does the work. It reads, decides, acts — and only returns to a human when it genuinely needs one.

Gartner is specific about why projects fail: unclear business value, escalating costs, inadequate risk controls. The failure is never the technology. It is always the approach.

They start from tool capability — not from business context.
They start with the biggest opportunity — not the right one.
They let IT drive the business — instead of the other way around.
The opportunity

When AI is implemented correctly, the results are significant.

These are not abstract projections. These are businesses like yours — operating across Europe — that started with the right foundation.

European SME · Insurance

A European insurance broker

−29%

reduction in claim-cycle times after AI-assisted document processing and workflow automation.

€61K

in annual savings — redirected to client-facing work and business development.

Source: Silicon Canals, European SME AI case study, 2025
European SME · Professional Services

An 8-person accounting firm

25 hrs

per week previously spent on onboarding, scheduling and routine enquiries — now handled by AI.

Same team.

Significantly more capacity. Staff redeployed to advisory work.

Source: documented industry pattern, McKinsey / IBM SME research, 2025
BCG Global Study, 2025 — companies that lead on AI vs. peers
1.7×

revenue growth over three years

3.6×

greater total shareholder return

1.6×

EBIT margin advantage

These results are achievable for businesses your size. The question is where to start.

Most Swiss and European SMEs are not getting there — not because AI doesn’t work, but because they haven’t started with the right foundation.

How the AI Diagnostic works ↓
How we work

We start with your business.
Not with AI.

Before we discuss technology, we understand your business — your market, your pressures, your ambitions, what you have already tried and why.

✓
Business context first. No tools discussed until we understand your business.
✓
Outside-in perspective. What is working in your sector across Switzerland and Europe.
✓
Process before technology. We map what actually happens before recommending what to automate.
✓
Implementation-ready output. Not a summary — a blueprint your team can act on.

We have had this conversation across finance, logistics, distribution, manufacturing and professional services. We know where the pain typically sits before you describe it — because we have mapped it, in detail, across dozens of engagements.

Manufacturing · Production

A production company had six automation candidates on the table. The biggest would have required a full ERP integration touching three departments. We did not start there.

We started with a single contained process — machine readings captured on paper, one team, one clear output, no risk to the core system. The larger work came later, with proof already in hand.
Financial Services · Reporting

A financial services company came with what looked like a complex agentic AI opportunity — a multi-step portfolio reporting process. Once we mapped it in detail, it was almost entirely deterministic calculation.

The right decision was not to build the more complex solution. The one genuinely agentic phase was assessed separately.
Trading · Distribution

A distribution company calculated landed costs manually for every shipment — hours per container, line by line into the ERP. High volume, high impact, technically ready.

We went for the high-impact opportunity. Not because it was the easiest — because the data was clean, the process was understood, and the organisation was ready to absorb the change.
We do not always start with the biggest opportunity. We start with the right one.

The right starting point depends on your systems, your team, your data — and your organisation’s ability to absorb change.

Start the AI Diagnostic
AI: From Clarity to Blueprint

A four-step approach. One implementation-ready blueprint.

A structured engagement that takes you from business context to a fully documented AI roadmap — mapped at process level, ready to hand over to implementation.

01

We understand your business and your context

  • Your market position, competitive pressures and growth ambitions
  • What you have already tried with technology — and why it did or did not work
  • The systems, tools and platforms your business runs on today
  • Where the friction is — the manual work, the bottlenecks, the data that moves by hand
We know what to ask. We have had this conversation across finance, logistics, distribution, manufacturing and professional services — and we know what the answers typically reveal.
02

We bring the outside in — and surface opportunities together

  • What is actually happening with AI in your sector across Switzerland and Europe
  • What agentic AI means for a business your size — beyond the hype
  • GDPR, data governance and AI regulatory considerations for European businesses
  • Together we surface AI opportunities across your organisation — unfiltered, no ranking yet
Patterns we consistently see: shared inboxes acting as integration layers, costs calculated by hand per transaction, data retyped from one system into another.
03

We map the priority opportunities in depth

  • For each selected opportunity, we go deep — not a slide, a full end-to-end process map
  • Inputs and outputs: what comes in, what gets produced, in what format and where it goes
  • Systems and tools: every platform the process touches — sources, destinations and integrations
  • Business rules: the logic that governs each step — triggers, decision criteria and exceptions
  • Handover and notification points: where one team or system passes to another
  • Human touchpoints and escalation rules: what always needs a person, what can be automated
  • Interdependencies: how this process connects to adjacent processes and where changes ripple
This is where the real work happens. Nothing is assumed.
04

We deliver the blueprint and the recommendation

  • Which mapped processes are strong automation candidates — and which need redesigning first
  • Our independent view on where to start — not the biggest opportunity, the right one
  • A fully documented blueprint of the priority processes — ready for a technical team on day one
  • A clear view on what process changes are needed before AI can be embedded
This is the output that separates a real AI implementation from a pilot that never reaches production.
What you walk away with

You leave able to make a decision you could not make before.

You know exactly where to start with AI, why that starting point is right for your business, and with a blueprint your team can act on from day one — without us in the room.

Make a clear decision about where to invest in AI — and defend it to your board or leadership team
Hand a ready-to-build blueprint to your technical team, with nothing left to interpretation
Start with confidence, knowing the process has been mapped, the risks considered, and the first step validated

For clients who want to go further, Revylr also builds and deploys the agentic AI systems that implement the blueprint — connecting your existing tools and systems without replacing them. Learn more at revylr.com

What comes next

From diagnostic to implementation.

The AI Diagnostic is designed to lead directly into implementation. If you want Revylr to build what we designed together, we can. If you take it elsewhere, you still have a clear starting point.

1
The diagnostic becomes your starting point

The priority use cases are documented clearly — including requirements, inputs, outputs, controls and human-in-the-loop design — so the next step is defined.

2
Revylr builds and deploys

For clients who want to continue with Revylr, we build and deploy the agentic AI systems using the Revylr platform — connecting your existing systems without replacing them.

3
Your systems, running themselves

Agents operate inside the boundaries defined in the blueprint. Exceptions return to your team. You stay in control while the work gets done.

Who we are

You are buying experience. Not a framework.

Five perspectives. One complete picture — business transformation, systems architecture, deep AI engineering, commercial strategy and financial rigour. Based in Switzerland. Select the LinkedIn icon for a profile; on mobile the background details remain visible.

Guillano Demon
Business Architect

Ex-EY Partner. Twenty years leading complex business transformations across Europe, Asia and North America — always paired with system and ERP implementation. His conviction: understand the business context first. Everything else follows.

Guillano DemonGuillano Demon
Business Architect
in
Juliska Del Degan
Commercial Strategist

Ex-Chief Communications Officer at Avaloq — managing strategic communications through M&A and private equity transactions. 30 years of experience in strategy, brand positioning, go-to-market and change management.

Juliska Del DeganJuliska Del Degan
Commercial Strategist
in
Greg Erhahon
Systems Architect

Founder and CEO of KompiTech in Zurich for over fifteen years. He knows what every major SaaS and ERP system can do, what its limits are, and how to connect them.

Greg ErhahonGreg Erhahon
Systems Architect
in
Denice Bodeutsch
Financial Lead

Economist with a PhD in accounting. Significant experience supporting businesses with financial structure, governance and performance. Brings the financial rigour to ensure every AI business case is grounded in numbers that hold up.

Denice BodeutschDenice Bodeutsch
Financial Lead
in
Alex Bailey
AI Engineer

PhD in Statistical Pattern Recognition. Senior Software Engineer at Google Switzerland for nearly nineteen years, then Google DeepMind — working on productization of Google Gemini and LLM infrastructure.

Alex BaileyAlex Bailey
AI Engineer
in
Experience across

Built on experience from leading organisations.

Across the team, our experience spans consulting, technology, financial services, healthcare, industrials, maritime and academia.

Past experience of individual team members. Organisation names are shown for identification only and do not imply a current affiliation, partnership or endorsement.

Start here

Tell us about your business.
We will take it from there.

Answer four short questions. We will come back to you within 48 hours to confirm the next step for your AI Diagnostic.

Start the AI Diagnostic
Or contact us: [email protected]
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