The Independent AI Value Firm

The era of investing in AI on faith is over.

95% of enterprise AI pilots never show a measurable return. Galaxy Advisors AI exists for leaders who refuse to be in that number. We measure, maximize, and certify the business value of AI, in the only language that counts: your P&L.

We work with mid-market and enterprise leaders who are done experimenting with AI and ready to prove what it returns.

Take the AIROI™ Executive Scorecard
95%
of enterprise AI pilots fail to deliver measurable financial returns
MIT, The GenAI Divide 2025
29%
of leaders can measure AI ROI with confidence. The rest are guessing.
Industry surveys, 2026
72%
of enterprises now run AI in production. The spend is real. The proof is rare.
McKinsey Global AI Survey, Q1 2026
Why We Exist

Most AI initiatives are approved on technical promise, not financial value. Vendors grade their own homework. Implementation firms are paid to keep building. Somebody has to be paid to tell the truth.

Galaxy Advisors AI does not sell the AI it evaluates. No platform to defend, no implementation army that needs to stay billable. Our only product is a defensible answer to the question your board is already asking: what is our AI actually worth?

The AIROI Methodology

One discipline connects AI spend to enterprise value.

AIROI is the enterprise discipline for governing, measuring, optimizing, and valuing the economic impact of AI. Every engagement runs on its value chain, and every link is measured.

LINK 1

AI Investment

What was spent, where, and why.

LINK 2

AI Adoption

Whether the organization actually uses it.

LINK 3

AI Performance

How it performs in real work. Relate's Sandi measures here.

LINK 4

Business Outcomes

Revenue, retention, productivity moved.

LINK 5

Economic Value

Outcomes translated into dollars.

LINK 6

Enterprise Valuation

What proven AI value does to the multiple.

Where we thread the needle: most tools stop at performance. Galaxy Advisors AI carries the chain through outcomes, economic value, and enterprise valuation, the links your board and your acquirers actually price.

The AIROI Maturity Assessment

Companies don't fail at AI because of technology.

They attempt Stage 5 ambitions on Stage 2 foundations. The AIROI Maturity Assessment locates exactly where your organization stands, and what it will take to make AI reliably create value.

STAGE 1

Data Chaos

Local truths. Departments disagree on reality. AI outcome: impossible.

STAGE 2

Reporting Enterprise

Shared dashboards, historical numbers. AI outcome: descriptive only.

STAGE 3

Predictive Organization

Models deployed, insight inconsistent. AI outcome: interesting, unreliable.

STAGE 4

Decision-Governed Enterprise

Accountable meaning. Decision outcomes tracked. AI outcome: reliable.

STAGE 5

Autonomous Enterprise

AI participates in decisions with measured business impact. Real value creation.

AI amplifies the truthfulness of your data, not the intelligence of your model.

Where does your organization stand?

Take the Galaxy AIROI™ Executive Scorecard to assess your current AI value maturity and identify opportunities to strengthen Enterprise Intelligence.

Take the AIROI™ Executive Scorecard
What We Do

Four service lines. One overlay: AIROI.

Strategy, data, compliance, and implementation are what we do. AIROI is how every one of them gets justified and measured, through the AIROI Quadrifocal Lens: enterprise value creation, unit contribution, initiative ROI, and spend leakage.

AI Strategy

Which AI investments deserve capital, which deserve cancellation, and the sequence that makes the portfolio pay.

Data

AI fails when organizations disagree on reality. We build the Decision-Grade Data foundation before AI is trusted with decisions.

Compliance

Ethical AI, governance, and regulatory readiness, measured and certified rather than promised.

Implementation

Oversight that keeps delivery honest: milestones tied to value links, not activity reports.

Meet the Advisors

Leaders who have run the systems and implemented business solutions that everyone else writes slides about.

Jim Walb

Jim Walb

Co-Founder & Managing Partner · AI Strategic Intelligence

Jim helps boards decide which AI investments deserve capital and which deserve cancellation. He has run technology and operations at the scale most companies only benchmark against.

Managing Partner, E&Y JapanHead, 9/11 Wall Street IT Crisis Intervention CenterHead, Global Consulting Practice NAChair, UNICEF NYC MetroChair, Women in NeuroscienceGlobal MP, TCS BFSINASA HQ Data Center4 Patents, Smart Compliance
Steve Goren

Steve Goren

Co-Founder & Managing Partner · AI Data Strategy

Steve builds the data foundations that decide whether AI creates value or automates confusion. His four decades in enterprise data began at NYNEX, where he progressed from programmer to Staff Director as part of the Market Intelligence Data Warehouse team, and continued at Fujitsu Consulting, where he became Vice President of Business Intelligence / CRM Solutions and built a 50+ practitioner practice spanning Business Intelligence, Data Warehousing, CRM, and Data Quality. He went on to lead data and transformation work across financial services and insurance at E&Y, Barclays Capital, and TCS. He co-founded Galaxy on a conviction the market keeps proving right: AI succeeds on trusted, well-governed data and measurable return, not on deploying new technology.

NYNEX · Market Intelligence & Enterprise Data WarehousingFujitsu Consulting · VP, Business Intelligence / CRM SolutionsConsulting Partner, TCS BFSIE&Y Actuarial Transformation Solution LeaderBarclays Capital, Global Tech Director
+4

The Advisory Team

Industry & Domain Advisors

Specialized expertise in AI valuation, risk, compliance, ethics, enterprise transformation, and strategic execution.

Strategic Partnership · Relate

Proving the business impact of trustworthy AI.

Relate's AI coach, Sandi, measures conversations at the Performance link of the AIROI Value Chain. Galaxy carries the chain the rest of the way: outcomes, economic value, enterprise valuation. Revenue, productivity, retention, and better decisions. Joint measurement frameworks, live pilots, published results.

"Organizations are investing heavily in AI, but many still struggle to understand its true business impact. Our partnership with Relate bridges that gap; connecting the impact of conversations directly to measurable business outcomes."

James Walb, Managing Partner, Galaxy Advisors AI

Galaxy Insights

One Galaxy point of view. Multiple disciplines. Measurable value.

Perspectives from Galaxy Advisors on AI value, enterprise intelligence, trusted data, adaptive architecture, and governance — developed through the work of our Managing Partners and advisory team.

Featured Publication · Executive Brief · 13 pages

AIROI™ Executive Brief

The Executive Discipline for Governing Enterprise Intelligence Economics
Jim Walb & Steve Goren · Managing Partners

For boards, CEOs, and enterprise leaders: a framework for governing intelligence as an economic asset and connecting AI investment to trusted decisions, measurable outcomes, and enterprise value.

Read the Executive Brief →
Featured Publication · Point of View · 11 pages

AI Adaptive Architecture

When the Outcome Becomes New Intelligence
A Galaxy Advisors Point of View · Version 1.0

How AI architecture can evolve into an enterprise learning loop that connects human and machine intelligence to business outcomes, value, accountability, and continuous adaptation.

Read the Point of View →
Galaxy Insight · Enterprise Intelligence

How Does Your Enterprise Intelligence Stack Up Against Others?

Galaxy Advisors AI

How governed enterprise intelligence compounds through trusted data, decisions, outcomes, and value — and how the AIROI™ Executive Scorecard measures it.

Read the Insight →
Galaxy Insight · AI Valuation

AIROI: The New Imperative for Enterprise Valuation

Galaxy Advisors AI

Why measurable AI contribution is becoming part of the enterprise-value conversation — from revenue and cost to risk, productivity, and strategic capability.

Read the Insight →

Trusted Data & AI Readiness

AI cannot create trustworthy decisions from an enterprise that has not agreed on the meaning, quality, ownership, and context of its own information.

Trusted Data

The Real Reason AI Projects Fail Isn’t the Model

A data platform organizes information. A decision system aligns the organization behind trusted meaning and measurable outcomes.

Read Insight →Jim Walb · Managing Partner AI Data Modernization

AI Didn’t Break Data Management. It Exposed It.

The technology has changed dramatically. The fundamental problems of quality, governance, ownership, definitions, and trust have not — while AI has raised their consequences.

Read Insight →Steve Goren · Managing Partner AI Maturity

The Five Stages of AI Maturity — and Why Most Companies Skip Straight to Failure

Strategy, architecture, trusted data, governance, decision intelligence, and measurement form the path from Data Chaos to an Autonomous Enterprise.

Read Insight →Jim Walb · Managing Partner

AI Value & Enterprise Intelligence

Moving AI from experimentation to an economic discipline: connecting investment, adoption, decisions, outcomes, governance, and enterprise value.

AI Economics

The Trillion-Dollar Question Boards Can’t Answer

Boards are approving AI investment at scale. The harder question is whether the enterprise can connect that capital to measurable economic return.

Read Insight →Jim Walb · Managing Partner AI Value

The 5% Club: What Separates AI Winners From the Rest

Executive ownership, redesigned workflows, measurable targets, and leading indicators distinguish experiments from AI that creates demonstrable value.

Read Insight →Jim Walb · Managing Partner Governance

The Boardroom Blind Spot: Who Actually Owns AI?

AI has created a new category of enterprise asset — intelligence itself — without always creating an equally clear owner for its governance.

Read Insight →Jim Walb · Managing Partner Enterprise Intelligence

AI Adoption Won’t Decide the Winners. Governance Will.

Enterprise Intelligence compounds as governed decisions feed experience back into the organization’s capacity to sense, decide, and adapt.

Read Insight →Jim Walb · Managing Partner

Adaptive Architecture & the Intelligent Enterprise

What changes when AI architecture is expected not merely to run models and agents, but to learn continuously from decisions, outcomes, value, risk, and human judgment.

AI Adaptive Architecture

What If Your AI Architecture Could Learn—Not Just from Data, but from Business Outcomes?

The outcome becomes new intelligence when value measurement and adaptation become part of the architecture itself.

Read Insight →Steve Goren · Managing Partner Synthetic Intelligence

AI Adaptive Architecture: When the Outcome Becomes New Intelligence

Model learning is not enterprise learning. Business outcomes, decisions, human judgment, and experience can become reusable intelligence.

Read Insight →Steve Goren · Managing Partner AI Governance

Will AI End Humanity? I Think We’re Asking the Wrong Question.

As intelligence becomes more autonomous, accountability must evolve with it — and governance increasingly becomes part of the architecture itself.

Read Insight →Steve Goren · Managing Partner Enterprise Architecture

AI Is Accelerating. Can Enterprise Architecture Keep Up?

Intelligent enterprises learn from outcomes. The faster AI changes, the more important the feedback loop becomes.

Read Insight →Steve Goren · Managing Partner
Get Started

Your AI has a valuation.
Do you know it?

Start with a quick assessment of your organization’s AI value maturity and Enterprise Intelligence.

Take the AIROI™ Executive Scorecard

A 45-minute working session with an advisor. Not a sales call. Bring your insights to gaps in your AI portfolio; leave knowing a pathway toward closing the gap and valuing its worth.