Prove it’s worth it. Prove it’s safe.

Establish the baseline & guardrails:

In the first 30–60 days, we will evaluate your current AI usage, risks, and opportunities. We then stand up right‑sized guardrails around data, access, and human review so pilots are safe by design.

Pick the first winners intentionally:

We identify a small set of high‑impact use cases tied to real business goals (revenue, cost, or risk) and and design pilots to vet the use case.

Score every pilot like Moneyball:

We apply the AI Moneyball Scorecard to each use case. The Scorecard enables a confident go / no‑go decision by evaluating the Offense (ROI created), Defense (risk & control), and Organizational (readiness: training, evaluation, change management, etc.) value of the pilot.

This process gives executives a simple answer:

What are we trying, what could it be worth, and are we safe enough to proceed?

Scale what works. Stop what doesn’t.

Build a pipeline of ROI‑positive use cases:

The program moves from one‑off pilots to a prioritized portfolio of AI use cases mapped to P&L owners, each with a Moneyball Scorecard from idea through rollout.

Tighten and automate guardrails:

Governance expands from basic controls to more robust, NIST/ISO‑aligned guardrails, standardized evaluations, drift monitoring, vendor checks. This enables you to move faster without losing control.

Drive real adoption, not just tooling:

We put structured training, AI literacy, and change management procedures in place so managers and front‑line teams actually change how they work, not just “have access to a chatbot.”

Roll up ROI to leadership:

We work to provide a end-to-end visibility that shows realized savings and growth from AI so leadership can double down on the strongest winners.

Turn AI into a durable competitive edge.

Run AI as a growth portfolio:

We establish processes to treat AI initiatives like any other strategic investment. Portfolio governance links AI bets directly to revenue, margin, customer experience, and strategic differentiation.

Formalize the AI Moneyball model:

Expand the use of the Offense / Defense / Manager AI Moneyball Scorecard across the AI portfolio. Every significant AI system has clear value metrics, risk metrics, and an explicit kill / scale / redesign decision each quarter.

Bake controls into how the business runs (become audit-ready):

NIST AI RMF and ISO/IEC 42001 practices are integrated into procudes around procurement, vendor management, and risk. “Good AI hygiene” is automatic and important assurance to customers.

Equip the C‑Suite with one view of AI:

We design a concise, executive scorecard answering three questions:
    Is AI making us money?
    Is it safe and audit-ready?
    And do we have the training, evaluations, and change management in place to keep scaling?

Keep innovation moving - without risking data leaks, compliance failures, or board angst.

Deliverables: We help you build your sandbox, your guardrails, and your compliance shield following real frameworks—NIST AI RMF and ISO/IEC 42001—so you can move fast without regret.

Outcome: innovation that assures customers and regulators

Test to identify what works, skip what doesn’t - turning every AI idea into data, not guesswork.

Keep innovation moving - without risking data leaks, compliance failures, or board angst.

Deliverables: We structure AI experiments, run them, and measure outcomes against your business goals.

Outcome: business clarity and ROI

The AI Moneyball Scoreboard

Know the true cost and payoff of each AI use case.

Deliverables: See real numbers: savings, risk-adjusted returns, and decisions backed by evidence

Outcome: Decision making based on ROI