SEE — Build Capability
Operational Intelligence
Connect operational data into trusted dashboards, scorecards, alerts, and executive intelligence built around real AEC decisions.
Overview
Designed around operating reality
Operational Intelligence helps leaders and teams understand what is happening without rebuilding the business picture by hand. Sunrise connects the signals already spread across proposal, project, finance, staffing, CRM, email, and file systems into decision-ready views.
The dashboard is the visible surface, not the whole system. Definitions, data flow, ownership, exception logic, and review rhythm are designed with it so the result stays trusted and useful.
Common friction points
- Pipeline, backlog, staffing, delivery, and financial context are reviewed separately.
- Reporting arrives late or depends on repeated spreadsheet assembly.
- Important changes are buried in project detail instead of surfaced as exceptions.
- Existing dashboards show activity without helping leaders decide what needs attention.
What this service includes
- Executive dashboards and operational scorecards
- Connected data pipelines and unified operating views
- Backlog, capacity, utilization, client, and margin signals
- Exception alerts and project attention views
- Automated executive briefs and leadership review systems
Where owners feel the difference
- A clearer view of what changed and where attention is required
- Less time spent collecting and reconciling leadership reporting
- Earlier visibility into operational and commercial pressure
- More dependable decision-making across the leadership team
Blueprint → Build → Refine
A structured path from architecture to measured use
Each service fits into the same Sunrise arc: understand the work, implement approved priorities, then refine the operating system as evidence accumulates.
01
Define the decisions
Start with the questions leaders and teams need answered, then define the signals and confidence required.
02
Connect the data
Build the minimum dependable data flow across existing systems without forcing unnecessary replacement.
03
Operationalize the view
Embed dashboards, briefs, alerts, and scorecards into the review rhythm where action actually happens.
Ideal fit
- AEC leaders who cannot see operating health without manual reconstruction
- Firms that have reporting tools but do not trust the full picture
- Teams that need exception-based visibility instead of more reporting volume
Industry fit
Engineering Consulting Firms
Help principals see proposal flow, backlog quality, utilization pressure, and project margin across diverse project types without waiting on partial reporting.
Industry fit
Civil Engineering Firms
Create stronger executive visibility across civil pursuits, multi-phase delivery, staffing pressure, and backlog movement.
Industry fit
Geotechnical Engineering Firms
Build owner-level visibility across proposals, drilling, lab work, reporting, and delivery pressure in geotechnical operations.
Industry fit
Multi-Discipline AEC Firms
Unify owner visibility across multiple service lines, offices, project types, and leadership teams without forcing a generic reporting model.
Planning Page
A focused page for firms comparing engineering dashboard options
Use this page to connect the service offer to the owner-level dashboard questions behind backlog, KPI, capacity, and risk visibility.
Related Insights
Selected articles that deepen the operating questions and visibility priorities behind this service.
Engineering Dashboards
How to Build a Real-Time Engineering Dashboard That Owners Trust
A real-time engineering dashboard should give owners a trusted view of backlog, project risk, staffing pressure, KPI movement, and margin signal.
Engineering Dashboards
What Should an Engineering Dashboard Actually Show?
A useful engineering dashboard shows the commercial, delivery, staffing, KPI, and exception signals that help owners decide what to do next.
Engineering KPIs
Engineering KPI Dashboard Template: Metrics Owners Should Track
A useful engineering KPI dashboard template helps owners choose the measures that reveal backlog quality, delivery strain, margin risk, and operating change.
Engineering Dashboards
Why Engineering Dashboards Fail and What to Do Instead
Engineering dashboards fail when they behave like static reports instead of decision systems for backlog visibility, capacity, risk, and owner accountability.
Discuss This Service
Need operational intelligence that fit your firm’s operating model?
Start with a focused qualification conversation about the operating problem, the people involved, and what a useful next step should accomplish.