AI Opportunity Sprint

A CEO reads about AI transforming their industry. A VP sees a competitor launch an AI-powered feature. A team lead watches their staff paste data into ChatGPT every afternoon. Everyone agrees AI matters. Nobody agrees on where to start.

The AI Opportunity Sprint answers that question in one week. We look at your business through three lenses: where your people spend time on work a machine could do faster, where your product could deliver more value with AI capabilities, and where your data is rich enough to make AI work today rather than after a six-month data cleanup.

We start with your operations. We interview team leads and watch workflows. We're looking for the repetitive, data-heavy tasks that eat hours every week: document review, data entry, report generation, customer triage, scheduling, quality checks. Every one of these is a candidate, but not every candidate is worth building. We rank them.

Next, we look at your product. If you sell software, where would AI make your customers' lives measurably better? Not AI for the sake of AI; specific features that solve specific problems. Route optimization for a logistics company. Automated estimation for a services business. Intelligent search for a platform with years of accumulated data.

Then we assess data readiness. A great AI opportunity with terrible data is a six-month data project, not an AI project. We flag which opportunities you can act on now and which need groundwork first.

The deliverable is a ranked opportunity map. Each opportunity includes: the business problem it solves, the estimated value (time saved, revenue influenced, cost reduced), the technical complexity, the data requirements, and a realistic timeline. The top opportunity gets a detailed brief: what to build, how to build it, what it costs, and what success looks like at 90 days.

This is the engagement that replaces the meeting where your leadership team debates AI strategy for two hours and leaves with no decision. One week, one clear answer.