The AI workspace for enterprise software implementation
Where software implementation becomes AI-native.
The foundation for AI-native implementation.
Didro understands the project, then prepares the work that moves it forward.
Didro provides the standardized project context AI needs to work consistently across implementation. Starting with discovery, it connects workstreams, identifies conflicts and missing decisions, and prepares review-ready work.
01
Fragmented client reality
Approval before supplier dispatch, conflicting EUR 5,000 / EUR 25,000 thresholds, urgent purchase path to confirm...
02
Connected understanding
Cross-workstream conflict
Missing decision
Blocked requirement
Source evidence
Evidence: 4 sources across 3 workstreams
03
AI action layer
Ready for consultant review
Resolve approval conflict before CRP
Didro prepares the work needed to resolve the conflict and keep delivery aligned.
Workshop brief
Bring finance and procurement together to arbitrate the thresholds.
Follow-up
Assign the escalation-owner decision to the process owner.
Draft artifact
Update the approval requirement and acceptance criteria.
Delivery sync
Keep the backlog item blocked until the decision is validated.
Prepared from connected context
- Stakeholders identified
- Sources attached
- Backlog impact mapped
The Implementation Brain
The shared context behind every AI action.
The Implementation Brain is Didro's proprietary technology. It connects and structures every data and context source across an implementation into one living project model. Consultants can clearly see the project's current state, open questions, decisions, and dependencies. By centralizing this context and data, it prevents critical information from becoming trapped in silos and gives AI the complete, current, and relevant information it needs at the right time.
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Ontology State
- Evidence and provenance
- Implementation consequence
Directly connected context
Living project memory · illustrative, anonymised data
The first bottleneck in implementation
Discovery is where implementation gets stuck.
For ERP integrators and enterprise software teams, discovery means reconciling fragmented stakeholder input before delivery can move. Conflicts, exceptions, and missing decisions must become one implementation the team can execute.
The first bottleneck in implementation
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Finance and operations can design incompatible versions of the same process.
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A missing decision in one workstream quietly blocks another.
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Exceptions appear after the target process was supposedly agreed.
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Project context changes faster than the backlog can be maintained.
A repeatable AI-native workflow
- 01
Connect
Bring decisions, requirements, evidence, stakeholders, and delivery work into one project context.
- 02
Understand
Link workstreams and surface contradictions, dependencies, missing decisions, and blocked work.
- 03
Act
Prepare workshops, follow-ups, project actions, requirements, and delivery artifacts from the current context.
- 04
Validate
Consultants make the judgment calls, approve the work, and move accepted outcomes into delivery.
The AI action layer
Work Didro prepares from the current project context.
Workshop briefsStakeholder follow-upsProject actionsRequirements
Open decisionsUser storiesAcceptance criteriaFit-gap notes
Purpose-built for ERP and enterprise software implementation teams.
Project context
WorkshopsDecisionsBRDsScope docsExcelEmails
Actions & delivery
Follow-upsJira-readyAzure DevOps-readyDelivery workspace
Example scenario
From cross-workstream conflict to coordinated action.
Connected client reality
Purchasing confirms that purchase orders must be approved before supplier dispatch. The workshop and scope material reference different thresholds: EUR 5,000 and EUR 25,000, while an urgent-purchase path with justification and review within 48 hours still needs confirmation.
Finance and procurement reference different approval thresholds.
The final thresholds and escalation owners require client arbitration.
Prepare a focused review with finance, procurement, and the process owner.
Keep the approval workflow blocked and update its draft acceptance criteria.
Consultant control
AI prepares the work. Consultants make the call.
Didro accelerates the work around implementation decisions without replacing the judgment behind them. Consultants check the sources, resolve ambiguities, and validate every action or artifact before it moves 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 enterprise software configuration or production system changes.
Make software implementation AI-native.
Start with discovery. Show us a real implementation workflow, and we will show you how Didro connects the context and prepares the work that moves delivery forward.