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Collective Decision Intelligence Platform

Escape Pilot Purgatory. Scale AI with Confidence.

88% of organizations use AI. Only 7% have scaled AI solutions. AI Readi applies proven information theory techniques to drive strategic decisions that have meaningful impact and high execution success.

Founding CircleJoin 15 organizations shaping the future of AI adoption. Exclusive access, founder pricing, and permanent benefits.Learn More

How It Works

Three products. One strategic journey. From discovery to measurable impact.

Accelerate

Plan & Discover

Define strategic objectives, discover AI use cases filtered to your organizational reality, and evaluate feasibility through your own domain experts.

Phases 2, 3, 4

Decide

Analyze & Appraise

Map value chain impacts, uncover hidden dependencies and workflow bottlenecks, and appraise initiatives with resource planning grounded in organizational intelligence.

Phases 5, 6

Deliver

Engineer & Track

Redesign processes for AI-native operations, embed AI in workflows through value chain engineering, and track measurable ROI outcomes against your original business goals.

Phases 7, 8

BUSINESS-GOALS-FIRST

Accelerate

Strategic AI Planning & Use Case Discovery

AI use cases without clear business goals and which can't scale lead to failed initiatives and pilot purgatory. Accelerate flips the script - you define strategic objectives first, then discover which use cases fit your reality best.

Context Configuration

Stop getting generic AI recommendations that miss your reality. Your organizational profile - industry, function, role, and AI maturity - adjusts everything so you only focus on what's relevant.

OKR Framework

73% of AI failures stem from strategic disconnect. Establish clear business goals upfront, aligning AI initiatives to the outcomes that matter most to you.

Use Case Library

Accelerate your project discovery. Use our curated knowledge base of AI use cases adjusted to your context; you focus on executing 3-5 use cases with the highest probability of real impact.

Use Case Library

760+ AI Applications

Phase 3
Showing 6 of 760+ use cases0 selected
AI Pick
Customer Support

Intelligent Email Triage & Auto-Response

92% match

AI-powered email categorization and automated responses for common inquiries.

Quick Winhigh impact
Evaluation Score87%
AI Pick
Analytics

Predictive Analytics Dashboard

88% match

Real-time business intelligence with AI-driven forecasting and anomaly detection.

Strategictransformational impact
Evaluation Score92%
Customer Support

Conversational Support Assistant

78% match

Natural language chatbot for customer self-service and issue resolution.

Quick Winmedium impact
Evaluation Score75%
Finance

Document Intelligence Extraction

85% match

Automated extraction of key information from unstructured documents.

Strategichigh impact
Evaluation Score81%
Operations

Process Automation Orchestration

72% match

AI-driven workflow optimization and task automation across departments.

Innovationhigh impact
Evaluation Score68%
Marketing

Sentiment Analysis Pipeline

65% match

Real-time analysis of customer feedback and social media sentiment.

Quick Winmedium impact
Evaluation Score71%
WORKFLOW-CENTRIC

Decide

Value Chain Analysis & Initiative Appraisal

Most AI projects fail because traditional approaches miss the business value alignment, hidden dependencies, workflow bottlenecks, and resource conflicts that derail initiatives mid-execution. Decide bridges this information gap so you invest with confidence.

Value Chain Mapping

Uncover the cascade effects traditional approaches never see. Discover how AI initiatives ripple through processes, stakeholders, and outcomes - catch blockers before budget overruns.

Initiative Scoring

Stop spreading resources across 6+ scattered pilots. Quantified scoring on impact and feasibility reveals the focused portfolio that delivers 2.1x better ROI than the spray-and-pray approach.

Resource Planning

Eliminate mid-project surprises that kill 46% of proofs-of-concept. Dependency mapping and budget estimation grounded in organizational reality, not vendor promises.

Value Chain Impact

Process Dependencies & AI Integration

Phase 5
12
Processes Affected
+4
45%
Efficiency Gain
+12%
$2.4M
Cost Reduction
annual
1,200h
Time Saved
/month

Inbound Operations

2 processes

Data collection and initial processing

Data IngestionAI
high impact • 0 dependencies
ValidationAI
medium impact • 1 dependencies
AI-Enhanced Coverage5/7 processes
Overall Readiness75%
SMART SEQUENCING

Deliver

Engineering & Implementation Tracking

61% of organizations report zero measurable EBIT impact from AI - because they bolt solutions onto broken processes. Deliver reengineers your value chains for AI-native operations and tracks outcomes against the business goals you set from day one.

Process Redesign

High performers are 2.8x more likely to fundamentally redesign workflows. Systematically reengineer value chains to amplify positive feedback loops - turning AI from a bolt-on tool into an embedded differentiated capability.

Context Tracking

Continuous monitoring surfaces shifts in readiness and conditions so you course-correct before issues compound. Build institutional knowledge that compounds and never leaves when people do.

Impact Tracking

End the ROI black hole. Track every initiative from use case through value chain to EBIT impact. Quantify success against the business goals you set at the start.

Impact & Context Tracking

AI Transformation Initiative

Phase 8
Performance Metrics
+0.3x
2.4x
ROI Impact
+8%
34%
Efficiency Gain
+3 spots
Top 15%
Market Position
+12%
67%
AI Adoption
Pattern Recognition
87% confidence
Cross-functional collaboration
Teams sharing AI learnings outperform by 40%
82% confidence
Data quality threshold
Quality below 70% correlates with project delays
91% confidence
ML expertise clustering
Centers of excellence accelerate adoption
Context Drift Indicators
Market
Competitor AI launch detected
Shifting
Technology
Stack aligned with roadmap
Stable
Organization
Leadership transition in progress
Alert
Performance
KPIs tracking to targets
Stable
Feedback Loop
8
2
Objective refinement
8
4
Use case prioritization
8
6
Resource reallocation
System Health
78%
Healthy
Learning Rate
Knowledge capture64%
64% of insights documented
Insights24 captured
Patterns12 identified
Alerts3 active
Last Update2h ago

The AI Adoption Reality

80%
AI Projects Fail
HBR research on AI initiative outcomes
62%
Stuck in Pilot Purgatory
McKinsey 2025 - unable to scale beyond experiments
42%
Abandoned in 2025
S&P Global - initiatives discontinued this year
70%
People & Process Issues
BCG - primary cause of AI project failure

Why Traditional Approaches Keep Failing

The 80% AI failure rate isn't bad technology. It's flawed approaches that miss what matters most.

Traditional Consulting

Their Approach

Interview 20-50 leaders and experts, deliver static report

Your Problem

$200K-$2M cost, expertise leaves when they do

Why This Fails

Misses 99% of distributed workforce knowledge

Your Outcome

Obsolete reports, zero retained capability

System Integrators

Their Approach

Build what you request, focus on implementation

Your Problem

Can't answer 'should we?' before building

Why This Fails

Disjointed execution without strategic alignment

Your Outcome

Low ROI, dependency, limited integration, rework

Technology Vendors

Their Approach

Run pilots on their platform, sell their stack

Your Problem

Solutions looking for problems in your business

Why This Fails

Vendor revenue model, not your success model

Your Outcome

62% pilot purgatory, 42% abandoned

AI Readi

Their Approach

Aggregate knowledge from across your organization

Your Problem

Knowledge stays and compounds internally

Why This Fails

Captures what people who do the work know

Your Outcome

3x faster time-to-value, 67% success rate

70% of AI value comes from people and processes — yet most approaches focus on the 10% that's technology.

Join the 7% Who've Scaled

They didn't have bigger budgets or better technology - they had a better approach.