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Process decision guide

Which type of solution fits your process?

Standard software, custom, low-code, an AI agent or a combination? Answer 10 short questions and get a well-founded recommendation right away, weighing up all the options.

Instant answer, no email needed
A trade-off across all five routes
Based on your process and context
Free and no obligation

Free · no obligations

What the guide does

Routes weighed up

Short questions

± 2 min

Average completion

Gratis

And no obligation

The five routes we weigh up

Standard software

Proven SaaS package. Live fast, low cost, automatic updates.

Best-of-breed

Several strong packages cleverly connected.

Low-code / No-code

Build apps and workflows yourself, with little or no code.

Custom build

Built fully bespoke around your unique process.

AI agent

A smart agent that handles thinking, reading and rule-work autonomously.

Most software projects do not fail at implementation. They fail at the choice before it.

Going standard where custom was needed, or the reverse: that one decision decides whether a project succeeds or becomes an expensive mistake.

66%

of software projects end in partial or complete failure

31%

are considered successful: on time, on budget and complete

<10%

success rate for large projects without thorough preparation

Source: The Standish Group, CHAOS Report 2020. Analysis of 50,000 software and IT projects worldwide.

No guesswork

A well-founded choice, not a gut feeling

This guide weighs your process against the same criteria our specialists use. Unsure about the outcome? A specialist reviews it with you for free.

A clear direction in two minutes

An honest trade-off of all options

No preference for any single vendor

How it works

From doubt to direction in 3 steps

STAP 1

Answer 10 short questions

About your process, your needs, your budget and your context. In about two minutes.

STAP 2

Get your recommendation instantly

You immediately see the most likely route, plus a trade-off of all five options with the reasons behind them.

STAP 3

Sanity-check it with a specialist

Optional and free: a specialist confirms your direction and translates it into concrete solutions and vendors.

FAQ

Frequently asked questions

What is the difference between standard and custom?+

Standard software is an off-the-shelf package you adopt and configure; you partly adapt your process to the software. Custom is built around your process, so the software follows your way of working exactly. Best-of-breed and low-code sit in between as realistic middle grounds.

When is custom worth it?+

When your process is distinctive, drives your competitive edge and is poorly covered by existing packages. For everyday processes, custom is often more expensive and riskier without extra value.

Is low-code the same as custom?+

Not quite. With low-code you quickly build applications on an existing platform, with far less code and cost than full custom. It is often the smart middle step when standard software falls short but fully bespoke is too heavy.

Can an AI agent replace standard software?+

Usually it complements rather than replaces. An AI agent is strong at thinking, reading and judgement on text, mail or documents, and often runs on top of your existing systems instead of replacing them.

What does this guide cost?+

Nothing. The guide and the advice are free and without obligation. If you want to sanity-check your outcome, the call with a specialist is free too.

Need help?

✨ Your result

Full trade-off

Why this recommendation

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What to watch out for

Want a specialist to sanity-check your result?

A specialist reviews it with you for free and translates this into concrete solutions and vendors.

Free check

How ready is your organisation for AI?

Eight short statements and you will know how far along you are with AI: from data basis to buy-in. With a clear score and concrete next steps. No email needed.

8 statements · ± 1 minute · instant answer

Background

What is AI-readiness?

AI-readiness measures how well your organisation is prepared to deploy AI successfully. Research (including MIT Sloan and BCG) shows that most failed AI initiatives do not fail on the technology, but on data, buy-in and governance. This scan assesses you across six dimensions that together determine your readiness.

The six dimensions of AI-readiness

Data foundation

Clean, findable and connected data is the fuel for any AI application.

Clear use case

AI only delivers value with a concrete, well-defined problem to solve.

Buy-in & sponsor

Management support and an owner determine whether a pilot scales.

Skills

Knowledge in-house or via partners to build, guide and manage AI.

Technology & integration

APIs and connections to run AI on your existing systems.

Governance & GDPR

Agreements on privacy, allowed tools and human oversight (EU AI Act).

High AI-readiness does not guarantee success, but it lowers the risk considerably. Start small on your strongest dimension and deliberately strengthen the weakest.

To what extent do you agree?

Your result

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Points of attention

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Ready for the next step?

A specialist discusses your result for free and helps you build a shortlist.