AI Consulting & Strategy

A comprehensive evaluation covering four areas: data audit (quality, availability, gaps), infrastructure review (compute, storage, ML pipeline readiness), team capability assessment (skills, training needs), and opportunity identification with ROI modeling. You receive a prioritized AI roadmap with specific recommendations and cost estimates.

Our consultants are the same engineers who build production AI — not analysts who hand off a slide deck. We deliver working prototypes and technical architecture, not theoretical frameworks. Engagements are 2-6 weeks instead of 6-12 months. And we can seamlessly transition from strategy to implementation with the same team, eliminating the knowledge transfer gap that plagues traditional consulting.

A focused AI strategy engagement typically takes 4-6 weeks: 1-2 weeks for discovery and assessment, 1-2 weeks for opportunity analysis and roadmap design, and 1-2 weeks for pilot scoping and executive presentation. Longer engagements (8-12 weeks) include hands-on pilot implementation to validate the strategy with real results.

Yes — most clients move from consulting to implementation with us. The strategy phase de-risks the build phase by validating assumptions, scoping accurately, and setting clear success metrics. We offer seamless transition from roadmap to execution with the same team that designed the strategy, eliminating the knowledge transfer gap.

We have deep domain experience in hospitality (RunHotel), logistics, healthcare, and fintech. However, our consulting methodology is industry-agnostic — we start with your data and business processes, not assumptions about your vertical. Cross-industry pattern matching often uncovers AI opportunities that domain-only consultants miss.