Ludo AI · proposals grounded in the work order
From an unclear request to a reviewable next step.
Ludo AI uses permitted work-order context and evidence to prepare a proposal inside Aibo Task. The responsible person reviews, corrects, and decides.
Real product · sample data

From intake to decision
An ambiguous request becomes a reviewed action.
Ludo AI does not operate from an isolated message. The proposal moves through the same record the team uses.
- RequestAibo Task organizes what arrived and flags what is missing
- ContextLudo AI reads only permitted work-order sources
- ProposalPrepares the next step without executing it
- ReviewThe responsible person validates or corrects it
- ActionThe team decides and Aibo Task keeps the record
Why it is different
The value is not that it answers. It is knowing which record to answer from.
Aibo Task brings the work together and Ludo AI uses that context within clear boundaries. Each proposal can be reviewed against the work-order record.
- The work order is the source
- Customer, site, asset, task, and history remain connected to the same job.
- Evidence changes the proposal
- Photos, readings, materials, and notes make it possible to surface gaps before closeout.
- The role defines the scope
- Ludo AI only uses context that person is allowed to access in Aibo Task.
AI with operational boundaries
Human review is not a footnote. It is part of the workflow.
Ludo AI proposals return to technicians, dispatch, or supervision. Aibo Task keeps sensitive actions behind the appropriate permissions.
Ludo AI prepares proposals inside Aibo Task. Your team keeps the decision.
- Does not approve closeouts on its own
- Does not send messages without review
- Does not change schedules or make financial commitments without authorization
Test the difference
One connected operation from request to closeout.
Put a real work order in front of Ludo AI. Set up your operation and see how Ludo AI connects context, evidence, and the next step without taking the decision away from your team.
