Construction

Predictive Maintenance Dashboard

Example pilot result — figures illustrative until a verified client case replaces them.

21%

fewer downtime events

34%

faster escalation

40%

less reporting time

Client context

A constructionteam came to ALTE with a workflow that did not scale. Before any build, we ran a workflow audit and an infrastructure & data review to understand the process, data sources, users and constraints.

Business problem

Downtime incidents were discovered late and site reports were reviewed manually.

Audit findings

The audit mapped how work was really done, where AI could create value, which systems and data were involved, and what access roles and infrastructure the solution would need. That produced a technical brief and a fixed-scope MVP definition.

Infrastructure & data setup

We defined data flows, access roles and integration points so the solution runs securely inside the client environment, with personal data protection by design and human control points where the cost of being wrong is high.

Solution

AI-assisted risk signal dashboard combining maintenance history, site notes and equipment patterns.

Result

21% fewer downtime events
34% faster escalation
40% less reporting time

What to scale next

With the pilot validated, the next step is widening scope to adjacent workflows, hardening the infrastructure and rolling out to more of the team — backed by measured results rather than assumptions.

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