We help you pick the AI use cases worth pursuing, then measure whether they actually moved a real business metric, not just whether they deployed.
Most AI backlogs don't need a longer list. They need a way to tell which three items on the list you already have are worth funding first. Part of Netrix Global's broader AI practice.
If nobody can name the metric, it isn't ready to build yet.
Not just how good the demo would look.
A tightly scoped use case can show a signal within a quarter. One that touches five systems won't, and that's fine to know going in.
A named business owner accountable for the metric, not just an IT owner accountable for the deployment.
We measure impact against the number we baselined before we built anything, not against whether the thing technically works.
We sit down with the people sponsoring the work, usually IT leadership alongside whoever owns the budget, and run the use case list through the framework above. What comes out is a sequenced roadmap: what to build first, what to build once the data's ready, and what to shelve for now.
Before anything ships, we baseline the metric it's supposed to move. Once something's live, our AI operations team keeps watching it, because deployed AI drifts, and a metric that looked good in month one can slide by month four.
Strategy is usually first, and it points to everything after it: agent buildouts and integration for use cases that need an agent tested against real systems, workflow and automation for the repetitive work eating a day a week, and user adoption and training so what gets built actually gets used. If it turns into an ongoing need for AI-specific leadership, a Fractional Chief AI Officer can own it without a full-time hire.
Plenty of consultants will run a workshop and leave you with a deck. Here's what's different about scoring your AI list with Netrix Global.
Before you build anything.
Thirty minutes with an engineer who'll run your list through the same framework we use with every client.
Get an AI Strategy Session