Most organizations don't have an AI problem. They have a measurement problem. If you can't define today's baseline, you can't prove tomorrow's AI value.
Failed AI pilots share five findings: no baseline, no owner, no KPI, no clean data, no workflow understanding. None are technology failures — all are diagnosis failures. This framework is the diagnosis.
AI Value = Technology × Process × Adoption
Multiplicative, not additive. A 10/10 model on a broken process with zero adoption delivers zero value.
The Six-Gate AI Value Funnel
candidates remaining →
28 candidate AI ideas enter
GATE 1Business EconomicsWhere does money flow today?
What are the organization's top cost centers?
What are the primary revenue drivers?
Which KPIs does leadership review weekly or monthly?
Which business outcomes matter most this year?
Purpose: AI creates the greatest value where money already flows.
7 killed →→ 21 remain
GATE 2Workflow RealityWhere does time flow today?
Which workflows consume the most employee time?
Which activities are repetitive, manual, or coordination-heavy?
Which work products are created but rarely used?
Which decisions require judgment vs. information gathering?
Purpose: AI should target meaningful work, not isolated tasks.
5 killed →→ 16 remain
GATE 3Data ReadinessWhere does information flow today?
What structured data already exists?
What systems contain the required information?
Where is knowledge trapped in documents, email, or tribal expertise?
How accessible and reliable is the data?
Purpose: AI value follows data readiness, not ambition.
5 killed →→ 11 remain
GATE 4Bottleneck SeverityWhere does work break today?
What breaks when volume doubles?
Where do delays create downstream business impact?
Which workflows regularly miss SLAs?
Which dependencies slow execution?
Purpose: The biggest bottlenecks often produce the fastest ROI.
4 killed →→ 7 remain
GATE 5Adoption RealityWill people actually use it?
Who owns the process today?
Who must trust the AI output?
What can be automated vs. augmented?
What risks exist if the AI is wrong?
Purpose: Adoption determines realized value. If adoption is zero, value is zero.
3 killed →→ 4 remain
GATE 6MeasurabilityCan we prove value?
What is the current baseline?
What KPI will improve?
How will success be measured?
How frequently can results be tracked?
Purpose: If value cannot be measured, value cannot be proven.
1 killed →→ 3 remain
3
Investment candidates
Each with a named owner · a written baseline · a KPI leadership already tracks
25
ideas killed at the gates — before consuming budget, credibility, and a year of organizational patience
3
opportunities most likely to deliver measurable business outcomes
The funnel doesn't slow AI adoption. It protects your right to keep investing in it.
How to Use This
STEP 1
Inventory
List every AI idea currently proposed or piloted — no filtering.
STEP 2
Run the gates
Be ruthless. A "maybe" at any gate is a "no" until resolved.
STEP 3
Write the baseline
For survivors, record today's number before any build starts.
STEP 4
Assign an owner
Not a sponsor — an owner accountable for the workflow.