Requests with context.
Capture a service request, match it to the site and asset, check urgency and prepare the next step for the team to approve.
AI service desk and document review for facilities management
Every request routed.
Every change traced.
Every change traced.
AI workflows for facilities and building-maintenance teams: service requests matched to the right asset, and specification changes traced to the plans and checklists they affect.
01 / THE OPPORTUNITYBuilt around
Built around
the actual work.
Facilities teams work across service requests, asset records, maintenance plans and contractor documents. We start with one path, such as a request for a known asset or a revised maintenance specification, and connect it to the information your team already relies on.
Explore the fitFACILITIES & MAINTENANCE / WORKFLOW STUDY↗
01Request or revision→02Asset & document context→03Approve & record
02 / WHAT WE CONNECT+
Changes traced.
When a maintenance specification is revised, find the plans, schedules and checklists that still reflect the old requirement.
People approve the action.
Bookings, contractor dispatch and document updates run through agreed approvals and integrations, with a record of what was decided.
A LITTLE MORE CONTEXTGood questions.
Good questions.
Clear answers.
Does it dispatch contractors or change documents on its own?
No. The system prepares the next step and the proposed amendments. Your team approves bookings, dispatch and document updates through agreed integrations and permissions.
Where would we start?
With your current workflow, available information and the result you want. We define a useful first scope before choosing integrations or committing to a rollout.
How is the work scoped?
We agree the use case, deliverables, systems, review points and ongoing responsibilities. Timing and implementation details depend on that scope.
Try the service-request demonstration
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