Predictive & Advanced Analytics

We build forecasting and pattern models when you can state the question in plain language—demand next quarter, churn risk, likely delay—not “do something with AI.”

A typical engagement covers:

• Framing the question and success metric
• Data readiness (often after cleansing/warehouse work)
• A model you can re-run, not a one-off notebook demo
• Limits: what it cannot decide without a human

Agent-style “ask anything of the data” products belong under AI Agents. Statistical and forecasting models stay here.