AI Projects Fail When Organizations Aren't Ready.
ARIS™ Shows You Why.
ARIS predicts AI transformation success by measuring what traditional assessments miss: the hidden belief gaps between capability, confidence, and sentiment that cause 70% of rollouts to fail.
Why Leaders Are Switching to ARIS
| Capability | IT Maturity Assessments | Consulting Firms | ARIS |
|---|---|---|---|
| What it measures | Technical capability | Process maturity | Capability + Confidence + Sentiment |
| Predicts | Infrastructure gaps | Process bottlenecks | Transformation success/failure |
| Time to insight | 4-8 weeks | 6-12 weeks | Minutes |
| Early warning | None | Point-in-time snapshot | 2-4 month drift detection |
| Cost | $50K-$100K | $150K-$300K | Fraction of consulting cost |
| Actionability | Technical recommendations | Strategic roadmap | Prioritized interventions by domain |
AI Readiness Intelligence in Minutes
Capability-Confidence-Sentiment Mapping
See not just what your organization can do, but whether they believe it will work. The gap between these is where transformations fail.
7-Domain Coverage
Leadership, Data, Technology, People, Operations, Governance, and Ecosystem—measured across both 12-month tactical and 2-3 year strategic horizons.
2-4 Month Early Warning
Readiness signals emerge months before rollout failures. ARIS detects drift while you can still course-correct—not after the crisis hits.
Automated Remediation Roadmaps
Not just diagnosis—prioritized intervention plans mapped to specific gaps. Know exactly where to focus resources.
Why AI Initiatives Fail
Technology isn't the problem. Readiness gaps are.
Capability Without Confidence
Your infrastructure is ready. Your team has the skills.
But nobody believes leadership will stay committed when priorities shift.
ARIS measures the belief gap that technical assessments miss entirely.
Sentiment Misalignment
Executives are enthusiastic. Middle management is skeptical. Frontline is anxious.
These sentiment gaps create friction that slows every initiative.
ARIS surfaces sentiment misalignment before it becomes active resistance.
Post-Deployment Surprises
The pilot worked. The rollout failed.
Governance gaps, training deficits, and trust issues only surfaced at scale.
ARIS identifies these risks 2-4 months before they become crises.
Readiness Assumptions
You're about to commit $5M to AI infrastructure.
How do you know your organization can actually absorb and execute?
ARIS provides data-backed readiness scores, not expensive guesswork.
Built on Validated Patterns
ARIS was developed by analyzing transformation failure patterns across hundreds of enterprise AI initiatives. The methodology synthesizes research from McKinsey, Prosci, Culture Partners, and Aethova's own deployment data.
The Core Insight: Technical capability assessments miss the human factors that determine success. Organizations can have every tool in place and still fail because people don't believe the transformation will work. ARIS measures what others don't—the belief gaps that predict success or failure.
What Makes ARIS Different
- Three-layer measurement. Capability (what you can do), Confidence (whether leaders believe it will deliver), and Sentiment (how the workforce feels about it). Most assessments only measure the first.
- Dual-horizon scoring. 12-month tactical readiness and 2-3 year strategic positioning—because short-term execution and long-term transformation require different capabilities.
- Validated accuracy. 8.73/10 quality score in golden fixture testing. This isn't a theoretical framework—it's validated against real transformation outcomes.
AI-Native Execution Intelligence
ARIS runs on Aethova's BRIDGE Execution Intelligence Platform—delivering AI readiness diagnostics in minutes that would take traditional consultants months to produce.
How It Works: BRIDGE applies AI-powered pattern recognition to your assessment responses, comparing against validated transformation data to predict success probability and identify specific intervention priorities.
Platform Capabilities
- 85% drift detection precision using AI pattern recognition against historical transformation data.
- Real-time confidence scoring with audit trail showing exactly how conclusions were reached.
- Benchmark comparison against peer organizations in your industry and size range.
- Quarterly monitoring for continuous readiness tracking as your organization evolves.
ARIS 7-Domain AI Readiness Model
Comprehensive coverage across every dimension that determines transformation success.
Leadership & Strategy
Strategic clarity, executive sponsorship, decision cadence, and long-term vision adaptability.
Data & Infrastructure
Data accessibility, integration quality, governance policies, and security compliance.
Technology & Integration
Tool stack maturity, system interoperability, vendor management, and infrastructure scalability.
People & Skills
Workforce upskilling, change management communication, AI literacy, and culture of learning.
Operations & Process
Process optimization readiness, workflow standardization, feedback mechanisms, and resource allocation.
Governance, Risk & Ethics
Responsible AI policies, risk management practices, accountability structures, and stakeholder trust.
Customer & Ecosystem
Customer value alignment, partner collaboration, external stakeholder feedback, and market differentiation.
Know Whether Your Organization Is Ready.
Before the Board Asks.
ARIS shows you the capability-confidence-sentiment gaps that determine whether your AI transformation will succeed—in minutes, not months.
See ARIS run on real transformation data. No pressure.