How do I rank my projects by risk?
Bildstak's Analyst autonomously investigates every connected data source across the portfolio — schedule slippage, cost variance, open RFIs, claim exposure, coordination issues — and ranks projects by risk with evidence, so directors can prioritise attention without waiting for project teams to self-report.
Portfolio risk ranking is usually a subjective exercise: each project team fills in a RAG status on a slide and the director aggregates the answers. The problem is that teams have incentives to under-report risk, and the aggregation misses cross-source signals that no individual report would surface.
Bildstak takes a data-driven approach through two mechanisms:
AI chat queries: Ask "rank my projects by schedule risk" or "which projects have the highest ratio of open RFIs to programme activities?" and Bildstak queries the live federated data across the portfolio — P6 schedules, RFI registers, cost ledgers, BCF issues — and returns a cited ranked list.
The Analyst (autonomous): The Analyst is Bildstak's autonomous cross-source investigation agent. It proactively investigates the portfolio, cross-references signals across every source, and surfaces a risk-ranked view with evidence. Signals it weighs include:
- Schedule float consumption and critical-path risk
- Cost performance index (CPI) trend
- Open RFI volume and age, particularly on critical-path activities
- Variation and claim exposure as a percentage of contract value
- BCF clash count on elements not yet installed
- Submittal overdue items that threaten the programme
Each finding is cited: the Analyst names the project, the metric, the source record and the magnitude of the risk. No hallucinated summaries — every assertion can be traced back to a live data row.
This replaces the portfolio dashboard that requires a data team to maintain, and runs continuously rather than once a month.
Updated 2026-06-19