73%
AI pilots stall in evaluation
11+
Stakeholders per AI decision
4 mo
Average AI eval cycle
The Problem

The AI Evaluation Paradox

Everyone says "yes" to AI pilots. Nobody agrees on what success looks like. The cost isn't saying no — it's never deciding at all.

Everyone Nods in the Kickoff

Execs want AI capability. IT wants governance. Security wants controls. Legal wants compliance. Finance wants ROI. They all say yes and mean completely different things.

Security Kills It at the Finish Line

The CISO enters the conversation in week 10. Every concern they surface in week 10 was knowable in week 1 — if anyone had asked.

No Shared Success Definition

Engineering measures tokens per second. Business measures cost savings. Legal measures risk reduction. They run the same pilot and reach opposite conclusions.

The Missing Decision Layer

The AI market builds tools. Nobody helps the team agree to adopt them. The gap between "impressive demo" and "signed contract" is pure stakeholder alignment.

The Core Insight

AI vendors have built world-class technology and mediocre tools for helping buying committees make decisions about it. The bottleneck isn't the product — it's the process of deciding.

The Solution

How lucix Accelerates AI Adoption

Turn "everyone says yes" into "everyone means yes."

Step 01

Surface Hidden Concerns

The Probe Method generates intentionally imperfect proposals. Stakeholders correct what's wrong — revealing what they actually think.

Step 02

Measure Alignment Gaps

Quantify consensus across 8 Universal Criteria. See where Security and Engineering agree — and where they diverge in silence.

Step 03

Accelerate to Adoption

Resolve blockers before the pilot stalls. Move from evaluation to deployment with actual cross-functional alignment.

Decision Intelligence

8 Dimensions Where AI Evaluations Break Down

The same eight criteria that derail every complex decision are present in every AI evaluation — and nobody is measuring them.

Risk Tolerance

Security: "Zero tolerance for data exposure"
Engineering: "Ship and iterate"
Legal: "Compliance first"

Time Horizon

CEO: "Live in Q2"
Engineering: "Integration = 6 months"
Legal: "Compliance review = 90 days"

Success Definition

Business: "Cost savings"
Engineering: "Performance metrics"
Legal: "Risk reduction"

Resource Commitment

Finance: "Budget approved for pilot"
Engineering: "Need 3 engineers, 4 months"
IT: "Infrastructure cost unaccounted"

Speed vs. Thoroughness

CEO: "Competitors are moving now"
CTO: "Architecture review needed"
CISO: "Pen test first"

Walk-Away Criteria

Legal: "Any data residency issue"
Engineering: "If latency > 200ms"
Finance: "If ROI < 3x year one"

Governance

IT: "We own vendor selection"
Engineering: "We own tech stack"
Legal: "We approve all AI tools"

Communication

Champion: "Weekly pilot updates"
CISO: "Needs formal briefings"
CFO: "Monthly ROI review"

Use Cases

AI Evaluation Use Cases

Real scenarios where lucix surfaces the hidden disagreement derailing enterprise AI adoption.

LLM Provider Selection

Multiple providers pass technical eval. The real disagreement is cost ceiling, data residency, and integration ownership.

Vector Database Evaluation

Engineering picked the winner. IT wants the one they already manage. Security has concerns about neither option.

AI Feature Prioritization

Product wants automation. Sales wants personalization. Finance wants cost reduction. Three roadmaps, one budget.

AI Security & Compliance

CISO says no. Legal says maybe. Engineering says it's fine. The actual risk threshold is undiscussed and unknown.

ML Infrastructure Migration

New architecture is better. Migration effort is real. Stakeholders disagree on cost, timeline, and acceptable downtime.

AI Training & Change Management

Technology deployed. Adoption stalling. Hidden concerns about job impact and workflow disruption never surfaced.

Real Example

LLM Evaluation Stall — $400K/yr AI Decision

Hidden disagreement killed a $400K annual AI adoption. Here's exactly what lucix found.

$400K/yr contract value
9 stakeholders
60-day pilot completed

What Appeared to Happen

Technical evaluation passed. Pilot metrics were strong. Champion reported "internal consensus." Deal moved to legal review. Then it stalled — for 4 months.

What lucix Revealed

CISO

"Data processing agreements don't cover our EU customers. I wasn't in the pilot scope."

CFO

"Pilot costs don't include integration engineering. Real cost is 2.4x the contract value."

VP Engineering

"We'd need to rebuild our data pipeline. That's 3 engineers for 4 months."

Head of Legal

"Model versioning policy doesn't match our compliance obligations. We need SLA guarantees on model behavior."

❌ Without lucix

4-month stall → no decision

Concerns surface after legal engagement. Deal dies.

✅ With lucix

3 weeks → hybrid approach agreed

CISO and CFO concerns addressed in pilot design. Deal closes modified.

Results for AI Vendors Using lucix

28%
Reduction in No-Decision Rate
35%
Fewer Pilot Stalls
3 wks
Avg. Clarity Vs. 4 Months
$6.2M
ARR Recovered Per Platform
lucix

Turn AI Evaluation Into AI Adoption.

Stop losing AI deals to invisible disagreement. See how lucix surfaces what's blocking your next enterprise AI decision.