A two-week audit that maps where your business is leaking time, throughput, and revenue — and where audits, AI, automation, and AI agents recover it fastest. Fixed fee. 5-8 hours of leadership time. Built for businesses 1-100 people, every industry.
Most AI consulting starts with the technology and asks what it can do. We start with what your customers actually pay for and where your team's time, revenue, and quality leak — and engineer audits, AI, automation, and agents around those specific constraints. The tech comes last, not first.
Most businesses run on operational models that worked before AI-augmented competitors broke the math in 2024-2025. The businesses that documented orchestrated AI workflows captured the next decade's growth window. The ones that didn't are catching up — losing throughput, customers, and competitive position — none of which show up cleanly on a quarterly review.
Every deliverable — whether the engagement is an audit, an AI build, an automation rollout, or an agent deployment — maps to one or more of these five outcomes. The framework is industry-agnostic; the math is tuned to your business.
Drafting, document triage, scheduling, reporting, status updates, routine analysis, customer comms. On a typical 30-person business: $400K-1.5M of recoverable annual capacity hidden in non-judgment work. Often 30-50% of net margin currently invisible.
Top-performing businesses in every industry post 2-3x median organic growth — not because they have better strategy, but because they have more throughput. The capacity gap is the growth gap.
Dell'Acqua/HBS/BCG: AI augmentation lifts bottom-half quality 43%, top-half 17%. Junior output reads senior-quality without senior review. Quality variance compresses; senior-rework hours redirect to higher-value work.
Whether it's customer churn, RFPs, panel renewals, generational client transitions, or new-mandate competition, customers increasingly choose businesses with documented operational capability over businesses with relationship depth alone. The differentiator is shifting.
Across industries, PE-backed consolidators, vertical SaaS players, and AI-native challengers are scaling on AI capability, not headcount. Documented orchestrated AI workflows lift exit multiples 2-4 EBITDA turns and reframe recruiting from "match comp" to "match tooling." Closing the gap costs less than catching up later — or selling at a discount when optionality narrows.
Imparo is built around a specific framework — Five Business Outcomes, an Artifact Framework, and a curated Citation Registry — that we've refined across engagements in dozens of industries and business shapes. The output of every engagement maps explicitly to one or more of the five outcomes, anchored in research from Kitces, McKinsey, Dell'Acqua/HBS/BCG, and vertical-specific sources. What you get is a process we've already failed at, refined, and run repeatedly — not a deck.
The diagnostic asks about your business's shape, operational pressures, and where your team's time and throughput are leaking. Output is a personalized read on the math for your industry, plus a fit signal on whether an audit, AI build, automation rollout, or agent deployment makes sense.
Take the diagnostic