AI Advisory That Delivers ROI

We land into your data platforms, analyze your company data, and surface the best AI use cases for maximum impact — hunting for both low-effort, high-impact quick wins and long-term, sustainable competitive advantage AI solutions you should be building.

How the Engagement Works

We connect to your data platforms, layer on market intelligence, and synthesize a prioritized AI roadmap. Three outputs, every time.

Company Data

Data warehouses, operational systems, finance, claims, customer history, contracts.

Market Data

Industry benchmarks, competitor moves, regulatory shifts, macro signals, third-party datasets.

Analysis & Synthesis

Decompose the economic engine, surface gaps and tailwinds, and identify the AI opportunities that actually compound.

What's Working

Profitable lines, durable advantages, retention moats — the engine you don't want to disturb.

What Can Be Improved

Operational drag, pricing leakage, capital inefficiency, risks you're carrying without compensation.

Where AI Fits in the Journey

Quick-win automations, long-term competitive moats, sequencing, build-vs-buy guidance.

Same industry. Different engines.

Two companies in the same sector can have completely different economic engines — different revenue mix, margin structure, capital intensity, and risk profile. Generic AI playbooks miss what makes each business actually tick. We start with yournumbers, not the industry's.

The Economic Engine Framework

Every business runs on four engines. We find where AI creates the most value in each.

Revenue Engine

How you make money. What drives growth. Where AI accelerates revenue.

Margin Engine

What drives profitability. Where are the cost levers AI can optimize.

Capital Engine

How capital is allocated. Return on invested capital. AI efficiency gains.

Risk Engine

What threatens the model. Tail risks. How AI detects and mitigates.

Engagement Timeline

Discovery

1-2 weeks

Understand your business model, data landscape, and the questions worth answering

Land in Your Data Platforms

1-2 weeks

Securely connect to your warehouses, lakes, and operational systems — map what you have and where it lives

Use Case Hunt

2-4 weeks

AI-powered analysis of your data to surface candidates — filtered for low-effort/high-impact wins and long-term competitive moats

Deliverable

1 week

Prioritized AI opportunity map with ROI model, build-vs-buy guidance, and a sequenced roadmap

Implementation

Ongoing

Build and deploy the recommended AI solutions — quick wins first, moats in parallel

Case Studies: AI Advisory in Action

Different industries. Different economic engines. Same methodology.

Industrial Distribution$180M Revenue · 45K SKUs · 4 DCs · 450 EmployeesClient name & specifics withheld

“We knew AI could help. We didn't know where to start.”

$4.2M

Annual Value Identified

The 5 AI Triggers We Found

1Revenue

Demand Forecasting & Inventory Slotting

$1.4M

Hierarchical forecast (SKU × DC × week) trained on 6 years of order history with weather + promo features — cut stockouts 23%, lifted fill rate 12%, freed working capital tied up in over-stocked C-class SKUs.

2Margin

Dynamic Margin Optimization

$1.1M

Causal-uplift model recommended price moves across 45K SKUs by elasticity tier — captured 2.3% blended margin improvement without measurable volume loss. Highest gains: low-velocity, low-substitution SKUs.

3Margin

Pick-Path & Slotting Optimization

$820K

Reinforcement learning over 18 months of order data optimized pick paths and inventory slotting — 31% faster fulfillment, two FTE roles redeployed, one shift eliminated at the largest DC.

4Revenue

Customer Churn & Wallet-Share Detection

$580K

Behavioral signal model (order cadence, basket-mix shift, support tickets) flagged 47 at-risk accounts worth $2.1M ARR — intervention retained 34, generating $580K saved revenue + $190K won-back wallet.

5Capital

AP Invoice Processing & 3-Way Match

$290K

Document AI handling 8,000 invoices/month with 3-way match against POs and receipts — 85% straight-through, 4 AP staff redeployed, DSO improved 6 days from earlier early-pay-discount capture.

Total Annual Value

$4.2M

across 5 initiatives

Implementation Cost

$680K

one-time + first year

Payback Period

< 3 months

for top 2 initiatives

3-Year ROI

1,750%

cumulative value vs investment

Timeline:Discovery (2 weeks)→Data Integration (1 week)→Analysis & Report (3 weeks)→First initiative live in 8 weeks

Why details are hidden: this is real proprietary client work. Client name, exact figures, geography, and any identifying details have been deliberately withheld or altered to protect confidentiality. The methodology, trigger types, and outcome shape reflect the real engagement. Actual results vary based on data quality, organizational readiness, and execution. Want the full unredacted analysis under NDA? Book a discovery call.

Ready to find your 5 triggers?

Book a free discovery call to discuss how AI can drive ROI for your business.

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