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Making Construction Cost and Schedule Data Actionable

Key Outcome
Real engagement
Company history confirmed by The Algorithm leadership
Team
Multidisciplinary engineering team
Timeline
phased delivery
Industry
Construction
01Engagement Context

A confidential construction organization engaged The Algorithm around construction, analytics, real-time. Client identity, location detail, scale, and commercial terms remain withheld.

02Inherited Constraints

The inherited environment combined application behavior, data movement, user workflows, and operational dependencies. Engineering began by locating authoritative data, integration contracts, control owners, failure behavior, and a reversible acceptance boundary.

03Publication Boundary

The Algorithm leadership confirms this engagement as part of the company’s delivery history. Public wording is limited to the technical narrative while client-sensitive and precision claims complete leadership review.

04Architecture and Engineering

Construction intelligence dashboard. Real-time data aggregation from accounting (Sage), project management (Procore), scheduling (P6), and subcontractor systems. Project health scoring — every active project rated on cost performance (CPI), schedule performance (SPI), change order velocity, RFI aging, and cash flow position. Portfolio view for the CEO with drill-down to any project.

05 — Evidence and Outcomes

The engagement produced a working change to the client’s system or operating workflow. Exact measurements, delivery duration, audit outcomes, and client sentiment are withheld until the corresponding leadership-confirmation items are resolved.

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