What is the AI Decision Checkpoint?

The AI Decision Checkpoint is a free pre-investment risk evaluation designed specifically for small and medium businesses considering a significant AI investment of $15,000 to $150,000. Unlike generic AI maturity assessments, it evaluates one specific AI use case against five weighted risk categories based on 2026 research on why AI projects fail. The output is a clear proceed, delay, or no-go signal with specific next steps — not a vanity score.

How long does the AI Decision Checkpoint take to complete?

The checkpoint takes 10 to 12 minutes to complete. It starts with 4 use-case scoping questions to define the specific process you're evaluating, followed by 25 diagnostic questions across 5 weighted risk categories. No preparation is required — just answer honestly about your current situation.

What are the five risk categories evaluated in the AI checkpoint?

The checkpoint evaluates five weighted risk categories: (1) Data Readiness at 20% weight — quality, access, governance, and legal clarity; (2) Process Readiness at 20% — documentation, stability, and measurability; (3) Ownership and Change Readiness at 25%, the highest weight because it's the number one predictor of success; (4) Infrastructure and Integration at 15% — tools, security, and existing AI features; and (5) Business Value and Constraints at 20% — value estimation, success metrics, budget, and risk tolerance.

What are red flags in the AI Decision Checkpoint and how do they work?

Five of the 25 questions are designated as critical risk indicators. If you score the lowest option on these questions, a red flag is triggered. Red flags represent foundational blockers like undocumented processes, no process owner, or inaccessible data. Three or more red flags result in an automatic no-go recommendation regardless of overall score, because these issues reliably predict AI project failure.

Is being told no-go on an AI investment a bad result?

Absolutely not. Being advised not to proceed is considered a successful outcome — it means you've avoided a potentially costly mistake. The goal isn't to push you toward AI adoption. It's to help you make a confident decision, even if that decision is to walk away. A no-go result typically saves businesses $25,000 to $150,000 in failed implementation costs.

Is the AI Decision Checkpoint a sales funnel?

No. This is not designed to sell you AI services. There are no vendors behind this, no upsells waiting at the end. The checkpoint exists to help you make a better decision — which often means deciding not to proceed with an AI project right now. The most common recommendation is delay and address gaps first.

Who is the AI Decision Checkpoint designed for?

This checkpoint is built for small and medium businesses under $10 million in revenue with 1 to 25 employees who are considering a significant AI investment. It's for business owners and decision-makers who want to pressure-test a specific AI idea before committing resources. It's not designed for enterprises with dedicated AI or ML teams, or solo founders experimenting with ChatGPT.

Why do most small business AI projects fail?

2026 research identifies consistent failure patterns: no internal owner or champion for the AI project, hidden labor costs beyond license fees (training, integration, adoption typically add 2-3x the cost), overestimated data readiness, no kill-switch or review points, trying to fix broken processes with AI instead of fixing the process first, and evaluating AI in general instead of one specific use case. The AI Decision Checkpoint is designed to surface these risks before they become expensive.

Why is Ownership and Change Readiness weighted highest at 25%?

Because 2026 research consistently shows that the number one predictor of AI project success or failure isn't the technology — it's whether someone owns it day-to-day, whether the team has realistic time to dedicate, and whether the organization has successfully managed change before. Even technically perfect AI implementations fail without these human factors.

What results do you get from the AI Decision Checkpoint?

You receive: a weighted proceed, delay, or no-go decision signal; a breakdown of all 5 risk categories showing strengths and gaps; any critical red flags that must be resolved; your primary risk factor with specific mitigation advice; stage-specific next steps such as run a manual pilot first or proceed with a 90-day scoped pilot; and 8 vendor pushback questions to protect yourself in sales conversations.

Can I run the AI checkpoint for multiple AI projects?

Yes, and you should. Each AI project has different data needs, process requirements, and risk profiles. Run the checkpoint separately for each use case you're considering. This gives you a portfolio view of which projects are viable now, which should be delayed, and which are clear no-go's.

How much does the AI Decision Checkpoint cost?

The AI Decision Checkpoint is completely free. There are no hidden fees, no premium tiers, and no upsells. It was built to help small businesses make better AI investment decisions, not to generate revenue. You can run it as many times as you need for different AI use cases.

AI Decision Checkpoint — Pressure-Test Your AI Investment

Before you invest $15,000 to $150,000 in AI, pressure-test the idea with this free 10-minute checkpoint.

What This Evaluates

This checkpoint evaluates one specific AI use case against 5 weighted risk categories based on 2026 research on why AI projects fail:

Data Readiness (20%) — Quality, access, governance, and legal clarity of the data AI would need.
Process Readiness (20%) — Documentation, stability, and measurability of the process you want AI for.
Ownership & Change Readiness (25%) — Who owns this, team capacity, and change history. The #1 predictor of success.
Infrastructure & Integration (15%) — Tool integration, security, existing AI features, and tool sprawl risk.
Business Value & Constraints (20%) — Value definition, success metrics, budget realism, and risk tolerance.

How It Works

Define your specific AI use case (4 scoping questions)
Answer 25 diagnostic questions across 5 risk categories
Receive a weighted proceed / delay / no-go signal
Get red-flag detection, primary risk factors, and next steps
Receive 8 vendor pushback questions for sales conversations

Who This Is For

Built for small and medium businesses under $10M revenue with 1-25 employees considering a significant AI investment.

Frequently Asked Questions

What is this AI decision checkpoint?

A pre-investment risk evaluation that evaluates one specific AI use case against five weighted risk categories. The output is a clear proceed, delay, or no-go signal — not a vanity score.

How long does it take?

10-12 minutes. No preparation required.

Is being told no-go a bad result?

No. Being advised not to proceed is a successful outcome — it means you avoided a costly mistake that typically saves $25K-$150K.

Is this a sales funnel?

No. The most common recommendation is "delay and address gaps first." This is not designed to sell AI services.

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