The savings we delivered. The fee we charged. Both numbers, every time.
We think transparency builds trust faster than logos do. So every case study below shows the value we removed and what it cost to get there.
Exception-based trip-to-pay for a 5,000-trips-a-day fleet
Figures below are illustrative placeholders — send us the real engagements and we'll swap in named clients and numbers.
AI-assisted exception handling in vendor billing
A pilot routed only genuine exceptions to people, halving review effort and cutting dispute cycles by 40%.
Procure-to-pay redesign across three plants
Standardised a fragmented PO process and auto-matched the clean majority of invoices — cutting cycle time by half.
Exception-based trip-to-pay for a national fleet
Auto-cleared clean trips and cut payment time from ~10 days to 2–3, freeing finance from manual checks.
Demand-sensing pilot for replenishment
Proved an AI forecast on one category, trimming stockouts and markdowns before any platform commitment.
Meter-to-cash exception automation for a utility
Auto-cleared clean billing and routed only estimated reads and disputes to people, cutting manual review and speeding cash.
Post-merger operating model & GTM
Stood up a Day-1 operating model and combined account coverage, protecting revenue through integration.
Products & platforms we've shipped.
Selected delivery work across our service lines and BA360 — from diagnostics to live, scaled platforms.
Exception-based trip-to-pay
Auto-cleared the clean majority of 5,000 daily trips and cut driver payment from ~10 days to 2–3.
Vendor-invoice exception engine
Three-way matched invoices automatically and routed only true exceptions to people — halving review effort.
Post-merger operating model & GTM
Stood up a Day-1 operating model and combined account coverage, protecting revenue through integration.
Procure-to-pay redesign, 3 plants
Standardised a fragmented PO process and auto-matched the clean majority of invoices — halving cycle time.
Demand sensing & dispatch
Forecasts demand by corridor and pre-positions the fleet for the day ahead — 8–12% better utilisation.
Meter-to-cash exceptions
Sends only genuine claim exceptions to specialists and auto-clears the rest — 55% less manual review.
Demand-sensing replenishment pilot
Proved a category-level AI forecast that trimmed stockouts and markdowns before any platform commitment.
Control-tower operating model
Designed a unified vendor-tracking control tower with discrepancy detection and weekly value reporting.
Predictive-maintenance triage
Prioritises machine alerts by failure-risk and downtime cost — unplanned downtime down 18%.
Portfolio entries are illustrative pending your supplied case studies — send the real engagements and we'll swap them in with named clients and figures.
Want a savings estimate for your workflow?
A one-week diagnostic puts a real figure on the table — before you commit to anything bigger.