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Manifesto

ERP transformation would always be a gamble. We refused to accept that.

Most ERP projects start unmeasured: readiness is guessed, scope is assumed from interviews, decisions hinge on a consultant. The result: overruns, needless modules, unadopted systems. There is a better way.

What is the MindDX approach?

The MindDX approach is a way of working that starts ERP/CRM decisions with measurement rather than brand preference: maturity is measured first, scope is then discovered from evidence, and every step leaves a traceable artifact that feeds the next one. This page explains that stance and its order — how the measuring is done is on the methodology page, what comes out of it is on the sample outputs page.

What we see

The enemy: transforming blind

01

Blind start

Big-bang projects launched with no objective answer to “are we ready?”.

02

Assumed scope

Scope guessed from interviews, not data; surprises and needless modules erupt in UAT.

03

Person-bound knowledge

Every decision hinges on a consultant; knowledge stays in people and walks out the door.

Our convictions

Measure first. Then transform.

  1. You can't transform what you haven't measured.Every journey starts with a maturity measurement (Checkup).
  2. Scope is not assumed, it's discovered.Real need surfaces through evidence, not interviews.
  3. Design on evidence, not opinion.Every design decision rests on the prior step's evidence.
  4. Knowledge must compound in the system, not in people.Every step produces a traceable artifact.
  5. AI drafts, an expert approves.AI does the repetitive work; a consultant reviews the critical calls.
  6. Transformation is not a project, it's ongoing maturity.The score is re-measured each release and climbs.
  7. Transparent pricing is trust.A delivery with a fixed scope sells at a fixed price — no man-day surprises.

The method

From conviction to method: five steps

A stance is only worth as much as the sequence it turns into. These five steps are the backbone of every MindDX engagement — and their order is not a preference but a dependency: each step consumes the previous one's output.

  1. Measure

    Before watching demos or collecting proposals, put the current state into numbers: how much of the process is written down, how clean the master data is, who owns which decision. Without measurement every later step rests on a guess.

  2. Diagnose

    Turn the measurement into a finding. “Stock accuracy is low” is an observation; “which warehouse and which product group concentrate the post-count corrections” is a diagnosis. The diagnosis tells you which problem is worth solving.

  3. Write the criterion

    Write the definition of success before you start — with a number and a date. “Going live” is not a success criterion; “month-end close drops from five working days to two” is. The criterion must be verifiable independently of the vendor.

  4. Order phases by dependency

    Let technical dependency set the phase order — not module appetite or the vendor's delivery calendar. If a phase cannot run without the previous phase's output, the order is not negotiable.

  5. Tie acceptance to evidence

    At the end of each phase the record should not read “it works”, but “this scenario, with this data, was run by this person and passed”. Where acceptance is not tied to evidence, the handover meeting turns into a debate.

The product chain

From measurement to live support: six steps, one chain

The output of each step is the input of the next — you never start from scratch.

1
Measure

MindDX Checkup

Measure your digital and AI maturity across the technology, process and leadership dimensions. Receive an expert-reviewed, decision-ready report.

2
Discover

MindDX Discover

Clarify your real needs with AI-assisted discovery; turn them into a prioritized, clear digital roadmap.

3
Design

MindDX Design

Your implementation plan, configuration steps and acceptance tests — tied to your roadmap and traceable.

4
Train

MindDX Train

Your team is ready for the new system: role-based training documents, quizzes and completion certificates — participants join by personal link, no account needed.

5
Verify

MindDX Process

The process x-ray: verifies with event data that the transformation actually works — by measurement, not by declaration.

6
Sustain

MindDX Support

Support grounded in the knowledge base of the system you bought — we stay at your side after go-live.

The difference

Old way versus the diagnosis-first way

The two paths do not do the same work in a different order; they take the same decisions at a different level of information. The gap becomes visible when you look at it decision by decision.

DecisionOld wayDiagnosis-first way
ScopeAt proposal time, with the least informationAfter measurement, based on findings
Product selectionFirst question: which brand?Last question: which capability, by which criterion?
Phase orderBy the vendor's delivery scheduleBy technical dependency
Acceptance criterion“We went live”Written scenario + evidence + named approver
Weight of the budgetOn setup and mechanical workOn diagnosis and decision quality
Owner of the riskEntirely the customerShared, tied to the criterion

Selection discipline

Not a product name — a capability category

The most visible consequence of the diagnosis-first path is where product selection sits in the sequence. The decision is made not with a brand name but with three parts: which capability, by which criterion, under which precondition.

That triad also generates the questions you put to the vendor — and those questions become the skeleton of the specification. The brand question does not disappear; it moves to the end. Whether a product is the right choice is a question that can only be answered once capability and criterion are written down.

A concrete example

Capability

“Bill-of-materials management” is a capability category.

Criterion

“Can revision history be kept on a multi-level BOM?” is that category's criterion.

Precondition

“Product master data must be de-duplicated” is that capability's precondition.

The long-form account of this approach — five steps, comparison and examples: Diagnosis-first ERP: what the new way looks like in practice

Behind the scenes

An AI agent behind every step — the human's role varies by product

Each agent takes on the repetitive work of one module. What the human does there VARIES by product — on some deliverables a consultant reviews and approves, on others the entitled customer generates it themselves. The “human role” column below is read from the assurance registry; it is not written separately for this page.

AgentWhat it doesWhich decision it supportsThe human's roleWhere the output lives
Diagnostic AgentMeasures maturity across 8 dimensions and reports it with a confidence scoreWhere to start — which dimension to tackle firstAn expert consultant reviews and approves — final after reviewMindDX Checkup
Discovery AgentSurfaces the real need from evidence and writes it up as fit/gapScope — what standard covers and what needs adaptationSelf-service; consultant-guided on older Odoo versionsMindDX Discover
Audit AgentScans the installed system department by department and produces an action listWhat to fix first in the existing implementationA consultant reviews and approvesMindDX Audit
Design AgentWrites the configuration instructions and the acceptance testsHow the setup is done and what counts as “passed”The entitled customer generates it; consultant approval is stamped on the documentMindDX Design
Training AgentProduces role-based training documents and quizzesWho needs to learn what — and whether they didThe entitled customer generates it; quizzes are scored deterministically and results are visible to consultant and manager — no consultant approvalMindDX Train
Verification AgentDerives the actual process flow from event dataWhether the transformation actually works — by measurement, not declarationPartner (ProcessMind) delivery, consultant-guidedMindDX Process
MindDX Digital Transformation Platform orchestrates them all like a conductor: state your goal and it lines up the right agents.

Why MindDX

Your trusted advisor — with four assurances

Unbiased measurement

Our measurement and discovery steps are solution-independent — you start from your company's reality, not through a vendor's lens.

Supervised AI

Speed from AI, accountability from humans: your measurement reports (Checkup and Audit) are reviewed by our experienced consultants.

Regional compliance depth

Local and regional regulations are observed at every step — GDPR compliant with EU (Frankfurt) data residency; your reports are suitable for government support program applications.

Transparent pricing

The price is given once what you get is written down, and it does not move unless the scope moves. No surprise costs, no surprise man-days.

Frequently Asked Questions

About our approach

What does the “measurement-first” approach mean?
Before any software or licence, we measure the current state, processes and readiness on evidence. So transformation is planned from a numerical starting point, not guesswork.
Why organisation and interaction first, technology second?
Socio-technical research is clear: even the best technology isn't adopted if the organisation and its interactions aren't ready. We first simplify process, roles and interaction, then apply technology onto that ground.
Is MindDX software or consulting?
A blend: AI brings speed and consistency, an expert consultant checks and approves the evidence. The output is a human-approved report, not raw LLM.
Don't you sell a specific ERP/CRM?
Our approach is software-agnostic. We work with Odoo, Zoho and abas; but we first measure maturity and need, then recommend what fits — need-first, not product-first.
Is MindDX an AI tool?
No — MindDX is a measurement-first consulting platform that uses AI inside it. AI copilot tools start after requirements are gathered, and most need access to your live system to work. The platform produces the requirements itself through structured multi-stakeholder discovery, frames them with maturity and readiness, and delivers consultant-reviewed reports — not raw AI text — while discovery never touches your data. It doesn't compete with AI copilots; it can even be used alongside them.

All questions and answers →

What this unlocks

From chaos to confidence

  1. A measured startYou know where you stand and where to start by score, not intuition.
  2. Less reworkWhen scope fits reality, surprises, needless modules and overruns shrink.
  3. Adoption that sticksEvidence-based design and role-based training make the system actually get used.

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