
A 4–6 week diagnostic that quantifies recoverable EBITDA at the task level. I measure what your operations actually cost — empirical data, not framework opinions — and deliver the business case and a value creation roadmap your CFO can defend. The standard starting point for most engagements.
The Problem
Most operational improvement engagements produce opinions. A consultant observes your departments, applies a framework, and hands you a deck of recommendations that nobody can trace to anything real.
Margin pressure is real: missed orders, inaccurate inventory, unreliable reporting, multiplying spreadsheets
Teams are stretched thin doing work that may not need to exist — but nobody can say which work, in which roles, at what cost
If you are PE-backed: diligence identified inefficiency, but nobody delivered the granular operating model that says where the dollars are
The Engagement
Most diagnostics produce opinions. BAS™ produces a dataset. In 4–6 weeks of principal effort (elapsed calendar typically 2–3 months, paced to your team’s availability), BAS™ documents and measures the entire operating model — every role, process, and task — and the IT estate that carries it. Each task is captured across the model’s four dimensions and fifteen measurement facets: the role performing it, the process it belongs to, the hours it consumes, the fully burdened cost it carries, its value classification (Value-Added, Essential Overhead, or Non-Value-Added), the system it runs on, and whether that system sits inside or outside the target blueprint.
The output is a living, client-owned analytical dataset — pivotable across hundreds of perspectives — plus recoverable EBITDA quantified at the task level, the business case, and a prioritized roadmap where every recommendation traces to specific tasks, roles, systems, and dollars. Deployed across 20+ organizations. I conduct the work personally — no leverage model, no junior staff learning on your payroll.
Proof
$1.335B public merger: Quote-to-Cash and PLM assessed across Oracle EBS in 2 months with a 20+ person matrix team; ~$2M in annualized non-value-added task cost identified; future state approved for global rollout
Mid-market distribution & fulfillment plant (SAP/WMS): 91,000+ hours modeled across 10 departments at ~97% accuracy; only 21% of capacity was value-creating; $1.287M identified across 5 traceable initiatives from a $4.6M OpEx base
Global 100 marine diesel engine distributor: Over $700K of non-value-added task cost identified in 2 weeks of fieldwork
$450M FDA-regulated infant formula manufacturer preparing for sale: $2.8M identified (18.9% OpEx reduction) across 7 core processes on SAP, PLM, and LIMS; executive summary presented directly to the CEO
Endowment and foundation investment firm ($10.2M OpEx): 919 tasks, 234 flow units, 57 roles, and 37 systems modeled with accuracy within 2%; $1.33M in pure non-value-added cost identified (13.4% of OpEx); capital call process cut from ~9 touch points to 1
BAS™ Value Creation Sprint
Recoverable EBITDA, quantified at the task level — in 4–6 weeks of effort.
