Redesign the operating model around how work actually moves. Bottlenecks, handoffs, and ownership gaps named — then tracked so the redesign holds.
Procurement performance breaks down across the operating model, not at individual approvals. Intake is inconsistent, ownership is unclear, handoffs are manual, and policy rules are hard to interpret in the moment. The result is reactive procurement: cycle times stretch, stakeholders chase status, and outcomes get harder to realize. The fix isn’t a faster approval workflow — it’s a redesigned operating model that’s easier to execute and easier to measure.
Why work slows down, where it stalls, and which redesigns would fix it — pulled from intake, workflow timestamps, and approval data into a prioritized improvement roadmap, then tracked against it.
Intake forms, workflow timestamps, approval history, and policy rules pulled together across the procurement lifecycle.
Work gets rebuilt step by step — handoffs, queue time, rework loops, and ownership gaps surface against the documented process.
Cycle-time variance by category, BU, and approval path — surfacing where requests stall, approvals duplicate, and routing breaks.
Standardized intake, category-specific routing, parallel approvals, and exception-based review — proposed in priority order.
An ongoing readout — cycle time, throughput, SLA adherence, workload balance — tied back to each redesign so improvement is measurable, not asserted.
“How work actually moves, where it stops, and what redesign would unlock it.”
Not a process map and a heat list. A redesign plan sequenced by category and owner — and an ongoing readout that proves which moves worked and which need a second pass.
A 20-minute working session. We’ll walk through what the cockpit produces from real workflow and approval data.