The flagship · AI Operations

The AI Efficiency Audit

We analyze your workflows, tools, and team, then hand you a scored report: an A–F readiness grade, the exact places AI saves you time and money, how much, and the order to do it in. Then we train your people and build the fix.

Book an audit
A–F

readiness grade — are you set up to succeed?

3–5

quantified opportunities, ranked by payoff

$ / hrs

a real number on each, tied to your operations

90-day

roadmap: quick wins, fixes, and builds

What you get

A real scorecard — this is the actual output

The audit is powered by a scoring engine built on doctoral research into AI-adoption barriers. Here's a real, anonymized example the engine produced for an independent insurance agency. Your report follows the same format, with your numbers.

  • Part A — Readiness: six dimensions (data, systems, workforce, leadership, regulatory, process) scored into an A–F grade.
  • Part B — Opportunity: hours and dollars quantified per business function, ranked by dollar impact and feasibility.
  • The numbers: total annual opportunity, payback period, first-year ROI against a proposed build.
  • The roadmap: Audit → Train → Build, sequenced so quick wins fund the bigger work.

See the full sample report →

C
AI Readiness Grade C · 65.3/100
Sample — anonymized independent insurance agency, 6 staff

Readiness by dimension

Data Quality & Architecture
62.5
Systems & Integration
62.5
Workforce Readiness & Culture
68.8
Leadership & Strategy
62.5
Regulatory & Trust
68.8
Process Maturity & Scalability
68.8

Top opportunities (ranked)

#OpportunityHrs/mo$ / year
1Sales / Quoting & Proposals37.9$14,549
2Admin / Back-office26$9,976
3Customer Service / After-hours26$9,976
4Finance / Bookkeeping10.4$3,991
5Scheduling / Dispatch7.8$2,993
$44,395
total annual opportunity
3.2 mo
payback
270%
first-year ROI

Produced by the real Gore Consulting Co scoring engine. Figures are conservative, benchmark-based estimates; revenue upside excluded.

Why it's different

Diagnosis before spend — because most AI projects don't pay off

RAND's 2024 study of experienced practitioners found more than 80% of AI projects fail, and 84% of failures trace to leadership and process, not technology. MIT found 95% of generative-AI pilots return nothing measurable. The audit exists to keep you out of those numbers: it checks readiness first, quantifies conservatively, and sequences the work so it actually sticks.

Sources: Ryseff, De Bruhl & Newberry (2024), RAND RR-A2680-1; MIT Project NANDA, The GenAI Divide (2025).

Honest by design

How we get the numbers

Conservative factors

Every efficiency estimate sits at or below published benchmarks — JPMorgan Chase Institute (2026), McKinsey (2025), Intuit (2025). We'd rather under-promise.

Sources on every figure

The report footnotes where each number comes from. Vendor case studies are flagged as directional, not guarantees.

Upside excluded

The headline number is cost and time savings only. Revenue upside is real but left out, so the figure you see is the floor.

Get your grade and your number.

A free AI-readiness score takes minutes. The full audit turns it into a dollar-quantified plan.

Get your free AI-readiness score