Off the clock: Greek-American, plays music, from Detroit. The human page →
Value Creation · Diligence · Applied AI
Thirteen years: Capgemini platforms, EY automation, generalist Bain Senior Manager who founded the Vector AI Automation practice as its first working member, then founder. $500M+ sized, $30M+ realized, and the agent on the right runs on infrastructure I built myself.
Open to the right role
Live · runs on my own agent infrastructure
Free · ~45 seconds · no signup
$500M+
P&L impact sized, Fortune 100 engagements
$30M+
Realized, booked and in-year, not projected
19
Engagements across eight industries
4
Businesses run by my own AI, unattended
Thirteen years · each chapter built the next
2013–16
Capgemini
Fortune 500 platform delivery
2016–19
EY
7 AI processes to production
2019–23
Bain & Company
Generalist Senior Manager · founded Vector AI Automation
2023–
Paradosi Partners
Co-founder · search fund
2025–
ClearForge.AI
Founder · AI deployment
In their words
“It is rare to see this combination of technical competency and demonstrated knowledge of a client's business.”
The CEO called us his “special ops team” and kept us six months past the engagement.
Why this profile is rare
Every fund and board now has an AI thesis. Almost none have an operator who can convert it into EBITDA. That gap is the seat I fill: Bain trained me on results, not reports, and founding my own companies added the other half. The deliverable is the working system, not the report about it.
Where the value is, sized to IC grade: nineteen Fortune-100-scale engagements, $500M+ sized, and 1,000+ acquisition targets underwritten with my own capital at Paradosi.
Delivery the C-suite signed: $20M realized in embedded operations, ~$10M margin delivered in-year, and a 35,000-line production multi-agent system architected solo. The agent in the hero is live proof.
Capability that outlives me: the operating model a top-5 insurer still runs on, a playbook deployed with eight fund CFOs, and four business units running on systems I govern.
The build behind the claims: the architecture · the method · the canon, side by side
Track record
19 Fortune-100-scale engagements across 8 industries, C-suite sponsored, leading teams of up to 10.
$500M+ sized and roadmapped, $30M+ realized in-tenure. Realized, sized, and capability impact labeled separately on every case.
Full lever coverage: operations and margin, commercial, working capital, automation and AI, from diligence through implementation.
Investor on my own capital: a sourcing engine ranking 157,000+ companies, three LOIs signed.
| Industry ↓ · Capability → | Diligence & strategy | Operations & margin | Automation & AI | Transformation delivery |
|---|---|---|---|---|
| Industrial & equipment | ||||
| Consumer & retail | ||||
| Healthcare & insurance | ||||
| Aerospace & aviation | ||||
| Technology | ||||
| Funds & investors | ||||
| Services & social |
Click any engagement · ● realized, booked results · ○ sized, validated prizes · capability, systems that outlived the work · clients blinded by scale and sector
Selected engagements. Realized figures are booked results; sized figures are validated prizes with an owner and a path.
Materials management recovery$4B industrial manufacturer
$210M
Enterprise automation ambitionglobal technology OEM
$150-200M
Embedded operations turnaroundindustrial manufacturerrealized
$20M
Supply-chain reinvention, in-year marginOTC consumer healthrealized
~$10M
Source: engagement work product. Bars scaled to the $210M prize. Client names withheld.
Clients blinded by scale and sector · realized vs sized always labeled
How I'd start
Every engagement runs the same 90-day spine: find the number, ship the first workflow, stand up the governance that keeps it honest. The agent up top drafts it for your company, the full version lives here:
Draft my first 90 days at your company →Find the number
Diligence sprint: two or three opportunities sized in margin or revenue terms an IC would underwrite.
First workflow live
Highest-confidence play ships, owner named, baseline measured, eval gates on.
The scoreboard the CFO signs
System in production, value tracking live, next two quarters sequenced.
Pick your door
Primary · Hiring
AI operating partner, head of AI, MD value creation. Role fit, how I work, and what I need to say yes.
Role fit →
The builder
The live platform, drawn honestly, and the decision framework behind it. Both interactive.
Explore the map →
Founder
The firm I run and the search fund I co-founded, my own capital at risk.
The founder facet →
The human
The person behind the P&L. Short, real, worth a minute.
About James →
Off the clock: Greek-American, plays music, from Detroit. The human page →