Built for ERP integrators
The AI workspace for ERP integrators
From messy client inputs to structured implementation work.
How it works
Capture the messy project material. Leave with reviewed implementation work.
Bring in transcripts, notes, documents, emails, and spreadsheets. Didro separates requirements, rules, exceptions, and open questions for consultant review.
01
Messy client inputs
Controller approval above EUR 5,000, urgent plant manager exception, budget alerts before overrun...
02
Didro structuring layer
Requirement
Business rule
Exception
Open question
Source: workshop transcript, 14:32
03
Validated backlog item
Consultant validated
PO approval workflow
Route purchase orders above EUR 5,000 for approval before commitment.
Requirement
Approval depends on amount, urgency, role, and supplier validation status.
Business rule
POs above EUR 5,000 require controller approval by default.
Exception
Plant managers may approve urgent purchases when the supplier is validated.
Open question
Define urgency and audit logging for exception approvals.
Acceptance criteria
- Amount threshold checked
- Urgency exception reviewed
- Budget alerts configured
The implementation risk
Requirements are not lost in the meeting. They are lost after it.
ERP projects start with scattered reality: workshops, emails, Excel files, scope documents, side comments, and consultant memory. Under time pressure, that context has to become something delivery teams can actually implement.
The implementation risk
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Business rules are hidden in informal comments.
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Exceptions appear after the process was supposedly agreed.
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Decisions are spread across slides, notes, and emails.
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Backlog items lose the source context behind them.
How Didro works
- 01
Capture
Bring together transcripts, notes, scope documents, spreadsheets, and project exchanges.
- 02
Structure
Extract requirements, rules, exceptions, decisions, ambiguities, and open questions.
- 03
Validate
Consultants review every generated item before it becomes implementation work.
- 04
Prepare
Turn validated items into Jira-ready or Azure DevOps-ready implementation artifacts.
What the workspace produces
Implementation work your team can review, trace, and reuse.
RequirementsBusiness rulesExceptionsOpen questions
Missing decisionsUser storiesAcceptance criteriaFit-gap notes
Designed around the tools integrators already use.
Inputs
TranscriptsNotesBRDsScope docsExcelEmails
Outputs
Jira-readyAzure DevOps-readyExcel exportDelivery workspace
Example scenario
Not a summary. A structured implementation artifact.
Sample client input
The client says purchase orders above EUR 5,000 need controller approval, but urgent purchases can sometimes be approved by plant managers if the supplier is already validated. They also want alerts before a budget is fully consumed.
PO approval must depend on amount, urgency, role, and supplier validation status.
POs above EUR 5,000 require controller approval by default.
Plant managers may approve urgent purchases when the supplier is already validated.
What qualifies a purchase as urgent, and should exceptions be logged for audit?
Consultant control
AI drafts. Consultants decide what becomes project work.
Didro is not a chatbot and does not replace implementation judgment. It gives consultants a structured workspace to check sources, resolve ambiguities, and validate artifacts before they move forward.
Source traceability
Keep the path from client statement to artifact visible.
Review states
Mark items as draft, needs client decision, validated, or ready.
No blind automation
No autonomous ERP configuration or production system changes.
Structure the knowledge behind your next ERP implementation.
Show us a real project workflow and we will show how Didro turns scattered client inputs into validated implementation work.