
We don't pitch pilots. We ship outcomes.
Production data and AI systems for operationally complex businesses. A selection of the work, and the results that followed.
- Operations · Level 220%more accurate package volume forecastsFedEx improved package volume forecast accuracy by 20% with production ML


- Financial Services4xmore trade history in the live dashboardsFJ Capital Management automated daily P&L attribution on Microsoft Fabric


- Operations · Level 3500xfaster rewriting of requirements to the INCOSE standardFord rewrites 13,000 engineering requirements in 4 hours instead of 2,170Ford Motor Company

- Healthtech · Level 385%less manual processing time per patient referralElara Caring cut referral-to-admission time from days to under 24 hours


- Fintech Payments90%less time reconciling transactions across systemsKane Solutions cut transaction reconciliation from days to hoursKane Solutions

- Finance and reporting60%less manual work expected on invoice locking and exceptionsMailgun redesigned its revenue pipeline so no invoice history is ever overwritten


- Real Estate & Construction · Level 290%less time to produce a first lease draftMarkIT CRE turns accepted lease proposals into market-norm draft leases in minutesMarkIT CRE

- Healthtech · Level 285%accuracy predicting churn 90 days aheadMasterControl flags customer churn 90 days early with 85% accuracy


- Real Estate & Construction55%less time producing investor reportsBridge Investment Group cut investor report prep by 55%


- CPG50%less time to close the books each monthRobbins Brothers halved its monthly close with Snowflake and Power BIRobbins Brothers

- Healthtech · Level 285%less time on the daily data refreshOptimizeRx cut its daily data refresh 85% and halved drug price forecast error


- Case study · Level 22xmore at-risk guests flagged before spend dropsPENN Entertainment spots guests likely to cut spend before they do


Page 3 of 5
Past the Pilot
Common questions.
What kind of work do Blue Orange Digital's case studies cover?
Production data and AI systems for operationally complex businesses, and the results that followed. We don't pitch pilots; the case studies are a selection of work that shipped, each one leading with the number it produced.
How do I filter Blue Orange's case studies?
Four filters: function, sector, ownership (PE-backed) and stage (Assess, Build, Scale or Advisory). Functions are deal teams, finance and reporting, underwriting and risk, claims, sales and pricing, client onboarding and service, and operations. Only values some study uses appear, so no filter is ever empty.
Does Blue Orange have case studies with PE-backed companies?
Yes. PE-backed studies get their own row at the top of the index, and the Ownership filter shows them on their own. Each card names the sponsor where there is one.
What does each Blue Orange case study show?
Every study leads with the number: the result in large type, then who it was for (the client or a descriptor), the PE sponsor where there is one, the one-line problem, and tags for the business function and the AI maturity level, the five AI maturity levels we defined (L1 to L5).
Which case studies came from one of the three stages?
Studies that came from a stage are tagged with it, Assess, Build, Scale or Advisory, and the Stage filter shows the studies for any one of them. Earlier work carries no engagement tag. Newest work is listed first.
Does Blue Orange Digital publish a newsletter?
Yes. Past the Pilot is our newsletter, and you can subscribe to it from the case studies page, below the case grid. The same subscription form appears on the blog index.