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Human governance and evidence
AI does not make the decision — it prepares the evidence.
AI draft, consultant review, expert approval where required. The level of control varies by output type, and we say so plainly.
Three steps
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Reviewed by a consultant
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Expert approval granted
Governance across six dimensions
Human approvalThe level of control varies by output type; not every output passes an expert approval. Where approval is given it is stamped onto the document with who and when.
EvidenceA finding without an evidence reference does not enter the report; every finding carries its basis.
AuthorisationEvery document is visible only to the entitled customer and the assigned consultant; session and entitlement are resolved on the server, never claimed by the client.
TraceabilityOne chain from business need to acceptance evidence; a report fingerprint and an event ledger. The ledger records errors and phase transitions.
Cost controlEvery AI call is logged with its owner and its capability. This is MindDX's own internal control, not a customer dashboard.
Controlled actionThe only path that writes into your system follows preview, written approval and push, in that order; every step is logged and steps that cannot be undone are identified before approval. The audit is read-only.
Assurance: AI produces, humans approve
We don't sell raw AI output. For every product, what the AI produces and what a human reviews and approves is explicit:
| Product | AI produces | Human review & approval |
|---|---|---|
| MindDX Checkup | Produces the report draft (8 dimensions, confidence score) | An expert consultant reviews and approves — final after review |
| MindDX Audit | Produces a department-level health assessment + action list from a structured questionnaire | A consultant reviews and approves |
| Discover · Scope Discovery | Produces the scope-discovery draft | Self-service; consultant-guided on older Odoo versions |
| Discover · Deep-Dive + Blueprint | Produces the fit/gap analysis + conceptual design draft | Self-service; consultant-guided on older Odoo versions |
| Design (config + UAT) | Produces configuration instructions + UAT/test scenario drafts | The entitled customer generates it; consultant approval is stamped on the document |
| MindDX Train | Produces department- and role-based training document + quiz drafts | The entitled customer generates it; quizzes are scored deterministically and results are visible to consultant and manager — no consultant approval |
| Process (Process X-ray) | Feeds the process analysis (partner technology) | Partner (ProcessMind) delivery, consultant-guided |
| Support Copilot | Produces answers from the knowledge base of the product you bought | None — these answers are not reviewed by a consultant; when the knowledge base cannot answer, it points you to a support agreement |
At checkout you choose «self-service» or «consultant support». That choice decides who runs the SETUP: in self-service your team proceeds with guides and pushes to your own system with preview + approval; with consultant support a MindDX consultant runs the process. Report assurance follows the delivery model above and is independent of this choice.
What we do NOT claim
Not making a claim does not make it trustworthy; saying which claims we do not make does.
- We do not say transformation is risk-free.
- We do not say AI makes no mistakes.
- We do not say ERP is set up fully automatically.
- We do not say every output passes an expert approval.
- We do not say we finish faster than others.
Security and data → · Providers and data-processing details →
Frequently Asked Questions
About the platform and the AI agents
What is MindDX Platform?
MindDX Platform is a digital transformation platform that governs enterprise software transformation with evidence, AI agents and human control. It brings measurement, discovery, design, training and support together in one evidence chain; at every step the decision and the responsibility stay with people.
Does «agentic» mean fully autonomous?
No. Agents run the work; people own the decision and the responsibility. The only path that writes into your system follows preview, written approval and push, in that order; the audit is read-only. We neither promise nor perform a fully autonomous ERP implementation.
Do the AI agents change the system on their own?
No. The only path that writes into your system follows preview, written approval and push, in that order; every step is logged and steps that cannot be undone are identified before approval. The audit side is read-only — that code path contains no call that writes to the system.
Does every output pass an expert approval?
No — and we say so plainly. The level of control varies by output type. Where an approval is given, it is stamped onto the document with who approved it and when; where it is not, that is recorded too.
How can AI be used safely in an ERP project?
Through three separations. First, what the AI PRODUCES is separated from what it DECIDES: the model drafts, a person decides. Second, the approval itself is recorded — who approved and when stays on the document, and where no approval is given that is recorded too. Third, writing to the system is a separate gate: a change is shown as a preview first, applied only after written approval, and steps that cannot be undone are identified BEFORE approval. The level of control varies by output type; which outputs pass human review is stated product by product in the assurance table.