We assess your readiness, surface the quick wins, and rank every AI use case by value, effort and risk, so you invest in what moves the business.
Without one, budgets go to pilots that never scale, data problems surface too late, and the projects that would really cut cost or downtime never get started. We give leadership a shared, ranked view of what to do and why.
A scored review of your data quality, systems, skills, security posture and leadership alignment.
Workshops with operations, finance and IT to map where time, cost and errors pile up.
Every use case scored on value, feasibility, data readiness and risk, then ranked.
Two or three opportunities you can deliver in 60–90 days to build momentum and prove ROI.
What your ERP, WMS, TMS, CRM and IoT data can support today, and the gaps to close.
Expected benefits, costs and payback for each priority initiative.
Sequenced initiatives, dependencies, owners, milestones and success metrics.
Optional: a Chief AI Officer-level advisor who steers delivery and keeps the roadmap current.
Stakeholder interviews, process walk-throughs and a review of your systems and data.
Readiness scoring across data, technology, people, process and governance.
Use cases ranked on a value-versus-effort matrix, with quick wins flagged.
Roadmap, business cases and an executive readout with clear next steps.
CEOs, COOs, CIOs and operations leaders in manufacturing, logistics, warehousing, supply chain and field services who want to move from AI experiments to measurable results.
Most assessments run three to six weeks, depending on the number of sites, systems and teams involved.
No. Assessing your data is part of the work. We tell you what you can do with the data you have today, and what to fix first.
No. We recommend the tools that fit your systems and budget, across Microsoft, Zoho, open-source and other platforms.
You can run it with your own team, or our Build and Run practices can deliver it with you.
Start with a scored readiness assessment and a ranked list of use cases.
Tell us what you'd like AI to change in your business. We'll come back with an honest view of where to start — and where not to.