Voluntary adoption rate for the WGU AI Evaluation Assistant — built with evaluators, not imposed on them.
Reduction in evaluation time at WGU, generating $20M in savings over three years.
In annual savings from Raymond James RPA automation, averaging 4–6 weeks per process.
Organizations relying on manual workflows carry operating costs 3x higher than peers who have reduced processing burden through AI-enabled operations.
Of expert staff time consumed by routine data entry and rework — capacity that could be redirected to higher-judgment work.
When data is trapped in manual workflows and disconnected systems, leaders cannot act on what they cannot see.
Score the function's capacity headroom, maturity, and AI-readiness. A structured survey, working session, scored debrief, and prioritized execution plan — delivered as a fixed-fee engagement.
Execute one high-value roadmap item with clear scope, defined success metrics, and adoption support built in from day one. Simplify before automating.
Build a recurring, executive-sponsored improvement program that turns frontline pain points into measured capacity gains — quarter over quarter.
Evaluators chose to use EVA voluntarily
Reduction in evaluation time
In savings over three years
ConsultingX: Elevate Your Business.
Grow Operational Capacity Without Growing Headcount