Making scale understandable
Connected infrastructure work with 4,600 retail stores in scope. The outcome belongs to the team. The aim was to make that scale understandable.
4,600 retail stores in scope
Lenz Studio · Led by Payton Lenz
We build systems humans can run — not ones that run them.
Complex systems. Clear next steps.
I help teams turn AI ambitions, integration problems, and technical uncertainty into practical plans and workflows people can use.
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Services
AI workflows & adoption
Find work worth improving, prototype a practical workflow, and offer responsible guidance.
API & integration strategy
Turn disconnected systems into a clear integration plan.
Fractional CTO & product leadership
Technical judgment for product, roadmaps, and delivery.
Process
01
Understand
Start from the work as people already do it, including the constraints they route around.
02
Make it concrete
Turn that into a workflow, a map, or a pilot someone can point at.
03
Leave it usable
Hand back something the team can run after the engagement.
Selected work
These outcomes belong to the teams that shipped them.
Shortening the path to delivery
Implementation and operations work across 120+ sites. The team shortened the path to delivery, with implementation more than 30% faster.
120+ sites · more than 30% faster implementation
AI that earns its place
Responsible AI and adoption work. The team trained 100+ staff and reduced manual reporting by about 40%.
100+ staff trained · about 40% less manual reporting
Current work
Turning requirements into something testable
Dealerware. The work is the middle of the job: requirements a team can actually test.