By the Time You See the Problem, It's Already Cost You

It depends on the use case, but most implementations need 6-12 months of historical data to build reliable prediction models. Claims denial prediction works well with 12 months. Schedule delay prediction needs at least 6 months of project data. The good news: the data doesn't need to be clean. We spend the first phase of every project structuring and normalizing whatever you have. The model improves continuously as it processes new data.

A BI dashboard tells you what happened. It shows you last month's denial rate, last quarter's schedule delays, last year's complaint trends. All past tense. Risk analysis tells you what's about to happen. It flags the claims that will get denied before you submit them. It identifies the projects trending toward delay before they miss a deadline. The dashboard shows history. The AI shows the future.

Accuracy varies by use case and data quality. Claims denial prediction typically reaches 85-92% accuracy within 90 days. Schedule delay prediction runs 75-85% in the first quarter. Menu profitability analysis is near-instant because it's math, not prediction. We set confidence thresholds for every model — the system only flags items above a meaningful probability. False positive rates stay below 10% once the model stabilizes.

The AI identifies the risk. Prevention depends on the workflow we build around it. For claims denials, the system pre-screens every claim and auto-corrects common errors before submission — that's prevention. For schedule delays, the system alerts project managers 2-3 weeks before a deadline is at risk — giving them time to adjust resources. Prediction without action is just a better dashboard. We build both.

A claims denial workflow that reduces denials from 12% to 3% recovered $1.2M in annual revenue for a diagnostics lab. The total project cost was under $50K. A construction schedule delay prediction system that prevents even one major delay saves $100K-$500K per incident. Menu engineering that identifies unprofitable items and optimizes pricing can shift food cost by 2-4 points. The assessment is free. The ROI model is specific to your numbers.