The challenge
The named business problem the executive sponsor cares about most. Stated in their language, not ours.
A selection of engagements from across our practice. AI programs at top US banks. SAFe® rollouts inside insurance carriers. Government AI under federal scrutiny. Manufacturing turnarounds that held a full year after handover. Every case study below is told in our clients' words and signed off by the executive sponsor who lived it.
A Tier-1 automotive supplier moved OEE 11 points in 90 days across two plants with a Lean management system and predictive maintenance AI. $7.2M throughput gain, held 12 months.
Read the caseAn AI demand model integrated with SAP IBP cut a top-10 CPG manufacturer's forecast error from 24 to 13 MAPE points in 16 weeks, freeing $40M+ in working capital.
Read the caseEvery case study on this page follows the same seven-step structure. Built to read the way an executive sponsor would want to read it at a steering committee.
The named business problem the executive sponsor cares about most. Stated in their language, not ours.
The non-negotiables that shaped the work: the people who had to sign off, the systems we had to integrate with, the change posture of the organization.
The architecture decision. The model and data choices. The named Rockmere principal and the practitioners on the pod.
The production system. Named integrations. The runbook your team uses every morning. The artefacts the organization keeps after we exit.
Measured outcomes the executive sponsor reported to their board. Numbers we can defend, told in their words.
Week-by-week shape of the work. The dates the steering committee met. What was decided in each room.
The team that owns the system today. The runbook the on-call rotation reads at 2 a.m. The patterns the next engagement reuses.
Five recent engagements, told in the outcomes the executive sponsors reported to their boards. Numbers are the numbers, not the marketing version.
An investigation copilot used across thousands of fraud cases.
38% fasterEligibility AI built inside the system clinicians already use.
43% less manualA Lean operating system rolled across three plants.
$80M / yrAn ART launched to predictable cadence across nine teams.
87% PI Obj.Demand-planning AI tied to underwriting and renewals.
27% retainedEngagement letters dictate what we can publish. We hide identifying data when the letter says so. We never hide the outcome.
Yes. Every case study on this page is a real engagement, documented at stabilization handover. Each metric is the number the executive sponsor reported to their board, not a marketing figure.
The documented outcomes here include a 38% reduction in bank fraud handle-time, 87% PI Objective achievement on an insurance SAFe® ART, 42% faster Medicaid eligibility dispositions, 11 OEE points in 90 days in manufacturing, and $40M in working capital freed through CPG demand planning.
Engagement letters dictate what we can publish. We hide identifying detail (client name, internal product names, geography below country level) when the letter requires it, using the system class instead. We never anonymize the outcome, the standards the work was held to, or the named principal who led it.
Each metric is the one the executive sponsor reported to their board at handover. We do not publish a number we cannot defend in the room with the people who lived the engagement, and we can arrange a reference conversation for serious evaluations.
If regulatory depth and senior judgment change your outcome, almost certainly. Review the industries we know best, then bring us a measurable problem and an executive sponsor and we will tell you on the first call whether we are the right firm.
Bring a measurable outcome and an executive sponsor. We'll bring the team that delivers it.
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