One change, everyone who is actually affected.
Swap one cell and the enclosure, the test fixture and the purchase line no longer match. The tradition is that the person who changed it emails “those concerned”, and hopes the list was right. Colleag.ai reads the product structure and says which disciplines are hit. You will recognise the week-six meeting where manufacturing says this is the first they heard of it.
One more cell, three disciplines that were not told
Impact in parallel, not in a queue
A trail you can open later
Key benefits
- Automatic identification of affected disciplines for any change
- Parallel impact assessment instead of sequential review cycles
- Structured notifications with relevant context for each discipline
- Full traceability of cross-functional decisions and approvals
- Reduced coordination meetings without losing alignment
Read more
How do you know which disciplines a part swap touches? Colleag.ai reads product structure, document dependencies and roles and runs impact in parallel. ERP sees the article. PLM sees the item. The project tool invites people to a meeting.
A part swap rarely hits mechanics only. Test, purchasing and quality have their own files and SOPs. Colleag.ai reads the structure and runs the impact in parallel, instead of someone guessing who to invite.
ERP sees the article. PLM sees the item. The project tool sends the invite. The difference is an answer that already says what must change in which file, not only that “someone should check”.
How this differs from ERP, PLM, LCM and project systems
- ERP
- ERP does not know firmware and quality must see the same swap.
- PLM
- PLM has where-used. It does not write the notice with the right context per discipline.
- LCM
- LCM opens a change object. It does not run a parallel assessment.
- Project management systems
- Meetings and email are coordination. Here it is automatic and logged.
What Colleag.ai does here that those systems do not
- The right people with the right context, not an all-hands
- Parallel assessment instead of a queue
- An audit trail of who saw what