Turning AI Hype into Measurable ROI

Every product team now has an AI demo. Far fewer have an AI feature that's actually improving retention, deflecting support tickets, or speeding up a workflow. The gap between the two is mostly discipline.

Start from the metric, not the model

Before training anything, name the number you intend to move and how you'll measure it. That single constraint kills most vanity projects and focuses the rest.

• Define the target metric and baseline up front.
• Begin with foundation models; fine-tune only when it pays off.
• Add guardrails, monitoring, and human-in-the-loop from day one.
• Ship a thin slice, measure, then expand.

We start from a business outcome, not a buzzword — every model ships against a metric you care about.

Done well, AI stops being a science project and becomes another reliable lever for growth.