ISO Vision AI · Strategic AI consulting

AI that shows up on your P&L.

We have built and sold companies. Now we turn AI into measured results for public companies, healthcare and private equity.

Working systems your team runs, scoped to a number before we start.

Book a strategy call See what AI could return
Recent client work Horizon Technology Finance Chris David Salon
Highland Beach, FL & Manhattan, NY
30+
Years building companies
$14B+
Value created (2 IPOs)
5
Board seats held
$400M
Most recent exit
8 wks
Avg. deployment time
From concept to P&L

Three ideas everyone talks about. Three results a CFO can count.

AI agents, workforce intelligence, AI search: the words are everywhere. Here is what each one looked like once we built it for a real client, largest first.

Enterprise & private equity
01Public venture lender

Horizon Technology Finance

The conceptAn AI research analyst

Every prospect used to be researched by hand. We built a prospect analyzer that pulls each target company’s financials (market cap, debt, cash), scores its fit from 0 to 100 against the firm’s lending criteria, finds the CEO and CFO, and drafts a personalized outreach letter with Claude. The output lands in Excel and Word.

6–9 hours → about 15 minutesof analyst work per 100 companies
Have research your team does by hand? Talk to us
Analyst time per 100 companiesIllustrative
By hand
6–9 h
With the analyzer
15 min
Drawn to scale: 15 minutes is about 3% of 7.5 hours, the middle of the 6–9 hour range.
  1. Prospect A92Letter drafted
  2. Prospect B87Letter drafted
  3. Prospect C81Letter drafted
  4. Prospect D64Review
  5. Prospect E38Outside criteria

Prospect rows are illustrative. The timing comes from the client build; in a test run it scored 10 companies and drafted five personalized letters in 46 seconds.

Advisory & consulting relationships

Goldman Sachs, Investcorp, Sumeru Equity Partners, LLR Partners, Horizon Technology Finance and Shure. Founder Stuart Kerr advises from the operating seat: two IPOs, five board seats, a $400M most recent exit. See the track record

Small business · the AI Front Door
02Small business · Delray Beach, FL

Chris David Salon

The conceptBeing the business AI recommends

Customers now ask ChatGPT and Gemini who to hire. This one-chair color specialist in Delray Beach was well reviewed, yet no AI assistant named him. We rebuilt the website as an AI Front Door that speaks to customers, Google and AI assistants at once, and re-optimizes itself every week.

0 → 9 of 10AI assistants that name the salon, measured before and after
Read the AI Front Door case study
“Who’s the best color specialist in Delray Beach?”
Before0/10
After9/10
6×website traffic: 110 → 651 visitors a month
#4 of 245salons for “hair color specialist”

Each dot is one AI assistant asked the same question. The 0 and 9 of 10 are measured results from the case study.

What could AI return for you

Put in your numbers. See the size of the prize.

No industry averages, no benchmarks. Just your team, your hours and your costs.

Reports, data entry, research, copying between systems, first drafts.
Salary plus benefits and overhead, per hour.
Your own estimate. Be conservative; we test it on the call.
Hours freed a year1,440About 0.8 of a full‑time role
Annual value of that time$108,000
Repetitive hours a year4,800
Share AI could take30%

20 people × 5 hours a week × 48 working weeks × 30% = 1,440 hours a year.

1,440 hours × $75 an hour = $108,000 a year.

These are your numbers, not a promise; we’ll test them on a call. Assumes 48 working weeks a year; a full-time role is 40 hours × 48 weeks.

Book a strategy call
Three ways we work

Pick the problem. We build the system.

Most consultants leave you with slides. We leave you with software your people use, and the training to keep it working.

AI strategy & transformation

Leadership teams · PE portfolios

Find the few AI moves worth funding, build them, and train your people to run them. Tools for your technical team, an adoption plan for everyone else.

  • Executive AI strategy workshops
  • Use cases scoped to a P&L number
  • Hands-on AI fluency training for teams
  • 5,000+ leaders educated on AI
How the Twin-Engine model works

Secure private AI

Finance · healthcare · legal

When the data cannot leave the building, the AI comes to it. Models and document search that run inside your own environment.

  • HIPAA and FINRA compliant out of the box
  • On-premise or private-cloud models
  • Local vector search over your documents
  • Air-gapped options
  • No per-token fees on local models
See how private AI works

The AI Front Door

Getting recommended by AI

Make your business the one ChatGPT, Gemini and Google name when a customer asks. Start with a free check of what they say about you today.

About two minutes. You get a scored report; we only email it if you ask.

See the AI Front Door
We build on OpenAIAnthropic ClaudeGoogle GeminixAI GrokMeta LlamaAlibaba Qwen
How we engage

Scoped to a number before we start. Working in about eight weeks.

No fixed packages and no slide decks. Every engagement is sized to a measurable result on one 30-minute call, built with your team, and handed over so you own it.

  1. 01 · Call

    One 30-minute call

    We map your first AI opportunity and leave you with three plays you can run this quarter, whether or not you hire us.

  2. 02 · Scope

    Agree the number

    Engagements are scoped to your goals, not sold as a fixed package. Most clients start with a focused pilot on one department or work stream, prove the return, then expand.

  3. 03 · Build

    Working systems, not decks

    We build with your team, department by department. Our average time to a working deployment is about eight weeks, with measurable wins in the first few weeks rather than one big launch.

  4. 04 · Hand over

    Your team owns it

    We work with your team, not around it, and build internal champions so the capability stays when we are done. The goal is independence, not dependency.

Track record

Two IPOs. $14B+ in value created. We know what moves a valuation.

30+ years building and scaling companies for founders, boards and investors. We advise from the operating seat, not from theory.

The ISO in our name stands for In Search Of, a phrase we coined about 40 years ago. The story.

  1. Apple & NeXT
    5 years
    With Steve Jobs
  2. Oracle
    5 years
    Enterprise sales leadership under Larry Ellison
  3. Vitria
    $12B
    Startup → IPO → peak market cap
  4. Fleetmatics
    $2.4B
    IPO → Verizon acquisition
  5. Azuga
    $400M
    Bridgestone acquisition
  6. ISO Vision AI
    Now
    Turning AI into measured results. Board member of two AI companies; Harvard AI program.
Advisory & consulting clients
Goldman Sachs Investcorp Sumeru Equity Partners LLR Partners Horizon Technology Finance Shure
This site is the demo

Designed and built with Claude Code.

The same way we build client systems: a written brief, real data, and a check on every claim before it ships. The 3D hero, the three client visualizations and the calculator were written for this page with Claude Code, with no page builder and no template. If AI can do this for a website, ask what it could do inside your workflows.

Ask how we would build yours

Global impact

Teaching AI to change lives, worldwide.

Through U-GO AI Apprentice we are training 10,001 high-potential women in developing economies, giving them the AI skills to transform their careers.

10,001Women being trained
9Countries

Stuart is a certified 1000xAI trainer. His course on building AI-driven ROI models in Excel has been taught in more than 100 countries.

Map of the countries where U-GO AI Apprentice trains women
Questions executives ask

Straight answers before we ever talk.

What do you actually do?

We turn AI into results you can measure. Three ways: AI strategy and transformation for leadership teams and private-equity portfolios; secure private AI that runs inside your own environment, for finance and healthcare; and the AI Front Door, which gets a business recommended by ChatGPT, Gemini and Google. We build working systems, not slide decks.

Who have you done this for?

Horizon Technology Finance, a publicly traded venture lender (an AI prospect analyzer), and Chris David Salon in Delray Beach (the AI Front Door). Advisory and consulting clients include Goldman Sachs, Investcorp, Sumeru Equity Partners, LLR Partners and Shure. Founder Stuart Kerr has spent 30+ years building companies, including two IPOs and a $400M exit.

How fast can you deliver?

Weeks, not quarters. We scope every engagement to a measurable number first, and our average time to a working deployment is about eight weeks.

What return should we expect?

We agree the number before we start. For Horizon Technology Finance, prospect research that took analysts 6 to 9 hours per 100 companies now takes about 15 minutes. For Chris David Salon, the AI assistants that name the business went from 0 of 10 to 9 of 10. Use the calculator on this page to size your own case, then we will test it together. The method is written up in How to scope an AI project to a P&L number.

Can our data stay private?

Yes. For regulated or sensitive work we deploy models and document search inside your own environment, so the data does not go to a public AI service. Our technology can be HIPAA and FINRA compliant out of the box.

Stuart Kerr

Let’s find the AI move that shows up on your P&L.

Book 30 minutes with Stuart Kerr. Leave with three concrete AI plays for your business.

Book a strategy call

Not ready to talk? Run the free AI-visibility check or size your AI return.

stuart@isovision.ai 312.953.9668 LinkedIn
Put AI on your P&L. Book a call