We don't sell AI. We stop you from wasting money on it.

We provide indepent eligibility audits for AI adoption. No tools. No implementation. Just a decision you can defend.

Request Eligibility Audit

Advisory Framework

What we evaluate before AI adoption

We asses whether AI adoption should be approved or rejected based on cost, risk , and operational reality.

Operational Fit

Whether AI realistically improves existing workflows.

Operational Fit

Whether AI realistically improves existing workflows.

Operational Fit

Whether AI realistically improves existing workflows.

Cost vs. Benefit

True implementation and maintenance costs versus expected value.

Cost vs. Benefit

True implementation and maintenance costs versus expected value.

Cost vs. Benefit

True implementation and maintenance costs versus expected value.

Data Readiness

Whether your data quality and structure support AI use.

Data Readiness

Whether your data quality and structure support AI use.

Data Readiness

Whether your data quality and structure support AI use.

Financial Risk

Budget impact, cash flow risk, and ROI uncertainty.

Financial Risk

Budget impact, cash flow risk, and ROI uncertainty.

Financial Risk

Budget impact, cash flow risk, and ROI uncertainty.

Legal & Compliance Exposure

Key regulatory and data-related risks that may block AI adoption.

Legal & Compliance Exposure

Key regulatory and data-related risks that may block AI adoption.

Legal & Compliance Exposure

Key regulatory and data-related risks that may block AI adoption.

Time-to-Value Risk

Whether AI adoption can deliver measurable value fast enough to justify the investment

Time-to-Value Risk

Whether AI adoption can deliver measurable value fast enough to justify the investment

Time-to-Value Risk

Whether AI adoption can deliver measurable value fast enough to justify the investment

How our AI decisions are structured

Most AI proposals fail basic cost-risk screening

In many cases, AI does not surive a fist-pass financial and operational review.

Multi-factor decision framework

Operational, financial, data, legal, and timing risks are reviewed together,

Full-cost and failure-scenario modeling

Implementation, maintenance, hidden cost, and downside scenarios are included.

Cost assumption are often incomplete

Expected AI value frequently ignores operational and maintenance costs.

Our Approach

How AI decisions are evaluated

We do not build or implement AI systems. We evaluate whether AI adoption makes sense, based on operational fit, cost, and long-term risk.

“AI adoption should be questioned first, not assumed.”

Theo Park

The Founder

More about us

Independence

Our decisions are made without influence from vendors, tools, or implementation partners. We do not benefit from whether you adopt AI or not.

No software, platform, or vendor recommendations

No implementation or deployment services

No financial incentives tied to AI adoption

Blocking Risk Review

Full-Cost Reality

Operational Friction

Time-to-Value & Durability

Independence

Our decisions are made without influence from vendors, tools, or implementation partners. We do not benefit from whether you adopt AI or not.

No software, platform, or vendor recommendations

No implementation or deployment services

No financial incentives tied to AI adoption

Blocking Risk Review

Full-Cost Reality

Operational Friction

Time-to-Value & Durability

Independence

Our decisions are made without influence from vendors, tools, or implementation partners. We do not benefit from whether you adopt AI or not.

No software, platform, or vendor recommendations

No implementation or deployment services

No financial incentives tied to AI adoption

Blocking Risk Review

Full-Cost Reality

Operational Friction

Time-to-Value & Durability

Our Role

What you receive after our AI review

After our evaluation, you receive a clear decision you can act on — or confidently decline.

A Clear GO or NO-GO Decision

You recive a direct recommendation on whether AI adoption should proceed or be rejected, based on your business reality.

A Clear GO or NO-GO Decision

You receive a direct recommendation on whether AI adoption should proceed or be rejected, based on your business reality.

A Clear GO or NO-GO Decision

You recive a direct recommendation on whether AI adoption should proceed or be rejected, based on your business reality.

Documented Decision Rationale

Every decision is supported by written reasoning across cost, risk, operations, and timing — not opinions or trends.

Documented Decision Rationale

Every decision is supported by written reasoning across cost, risk, operations, and timing — not opinions or trends.

Documented Decision Rationale

Every decision is supported by written reasoning across cost, risk, operations, and timing — not opinions or trends.

Decision You Can Defend Internally

Our review gives you an external, independent assessment you can reference in leadership or board discussions.

Decision You Can Defend Internally

Our review gives you an external, independent assessment you can reference in leadership or board discussions.

Decision You Can Defend Internally

Our review gives you an external, independent assessment you can reference in leadership or board discussions.

Find the right solution

When this review makes sense

We’re a corporate consulting firm focused on helping businesses grow, streamline, and adapt. With deep industry experience and a sharp, practical approach, we guide companies through strategy, operations, and transformation.

Before committing resources

When the cost of being wrong is high

When internal alignment is unclea

This review is most useful when AI adoption is being considered, but major time, budget, or operational commitments have not yet been made.

Decision is still reversible

AI has been discussed, but no irreversible commitments or sunk costs exist yet.

Early-stage evaluation

The idea is being explored, but feasibility, cost, and risk are still unclear.

Clarity before action

Leadership wants clarity before moving from discussion to execution.

Before committing resources

When the cost of being wrong is high

When internal alignment is unclea

This review is most useful when AI adoption is being considered, but major time, budget, or operational commitments have not yet been made.

Decision is still reversible

AI has been discussed, but no irreversible commitments or sunk costs exist yet.

Early-stage evaluation

The idea is being explored, but feasibility, cost, and risk are still unclear.

Clarity before action

Leadership wants clarity before moving from discussion to execution.

Before committing resources

When the cost of being wrong is high

When internal alignment is unclea

This review is most useful when AI adoption is being considered, but major time, budget, or operational commitments have not yet been made.

Decision is still reversible

AI has been discussed, but no irreversible commitments or sunk costs exist yet.

Early-stage evaluation

The idea is being explored, but feasibility, cost, and risk are still unclear.

Clarity before action

Leadership wants clarity before moving from discussion to execution.

Expert perspective

Experienced operators and advisors consistently observe the same issue: AI decisions fail not because of technology, but because they are approved too early.

When an independent AI decision review is necessary

“AI adoption is not a technology decision. It is a risk decision. If you don’t evaluate operational, legal, and reputational risk first, AI can create more damage than value.”

Daniel Moreau

Risk Manager

“AI adoption is not a technology decision. It is a risk decision. If you don’t evaluate operational, legal, and reputational risk first, AI can create more damage than value.”

Daniel Moreau

Risk Manager

“AI adoption is not a technology decision. It is a risk decision. If you don’t evaluate operational, legal, and reputational risk first, AI can create more damage than value.”

Daniel Moreau

Risk Manager

“Many businesses ask ‘Can we use AI?’ The more important question is whether it will actually improve margins after costs, errors, and compliance risk. Without that answer, AI becomes a financial gamble.”

Emily Chen

Accountant, CPA

Emily Chen

Accountant, CPA

Emily Chen

Accountant, CPA

“AI tends to work only when the underlying business process is ready. If fundamentals are weak, AI often accelerates inefficiency.”

Tariq Mason

Business Analyst

“AI tends to work only when the underlying business process is ready. If fundamentals are weak, AI often accelerates inefficiency.”

Tariq Mason

Business Analyst

“AI tends to work only when the underlying business process is ready. If fundamentals are weak, AI often accelerates inefficiency.”

Tariq Mason

Business Analyst

Eligibility Review

Request an independent AI eligibility review

This review determines whether AI adoption should proceed or be declinged - before time, capital, and operational complexity are committed.

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