CB

CausalBeacon

Acme Manufacturing CausalBeacon AI Demo

Powered by CoreSyncOS from Envizo

Single North Star: EBITDA Growth

AI-powered causal analysis identifying opportunities to drive $1-2M EBITDA recoverythrough revenue growth and cost optimization

-31.2%

Current Monthly EBITDA

$76K

2024 avg vs 2023 avg

-3.4%

2024 EBITDA Margin

2.9%

Down from 6.3% in 2023

$-742K

Annual Run Rate

$910K

Current trajectory

24-Month EBITDA Trend

Monthly EBITDA performance showing 2024 deterioration

Strategic Challenge: Dual-Threat to Profitability

Acme Manufacturing's EBITDA has deteriorated by 58% from 2023 to 2024, driven by a combination of revenue headwinds and cost leakage.

Revenue Decline

  • • Pricing pressure: ASP down $4,100 (-17%)
  • • Win rate collapse: 41.6% → 28.6% (-13pp)
  • • Market share erosion: 18.2% → 13.9% (-24%)
  • • DSO crisis: 53 → 72 days (+19 days)

Cost Escalation

  • • Quality crisis: Defects up 112% (2.3% → 4.8%)
  • • Scrap rate: 2.9% → 5.1% (+76%)
  • • OEE declining: 81.1% → 66.1% (-15pp)
  • • COGS margin: 59.1% → 61.3% (+2.2pp)

🎯 Target Goal: Achieve $1-2M EBITDA recovery within one year through integrated revenue growth, cash flow optimization, and operational excellence initiatives.

Causal Driver Analysis

AI-powered causal inference identifies the true drivers of EBITDA performance, ranked by their impact on profitability.

Causal Flow Pathway

Operational Metrics
Quality & Efficiency
Cost Structure
EBITDA Impact

Top 5 Causal Drivers by Impact

Annual EBITDA impact from 1 standard deviation change

Detailed Analysis

1

Market Share

$644K impact
Very High Confidence
Current: 16.0%

A 1 standard deviation change in Market Share increases annual EBITDA by $644,021

2

Supplier Quality Score

$613K impact
Very High Confidence
Current: 95.6

A 1 standard deviation change in Supplier Quality Score increases annual EBITDA by $613,081

3

Average Selling Price

$608K impact
Very High Confidence
Current: $22K

A 1 standard deviation change in Average Selling Price increases annual EBITDA by $608,156

4

Scrap Rate

$-595K impact
Very High Confidence
Current: 4.0%

A 1 standard deviation change in Scrap Rate decreases annual EBITDA by $594,579

5

Customer Retention Rate

$592K impact
Very High Confidence
Current: 90.9%

A 1 standard deviation change in Customer Retention Rate increases annual EBITDA by $591,690

Pre-Computed Counterfactual Scenarios

Five high-impact scenarios showing projected EBITDA improvements based on targeted operational changes.

TOP OPPORTUNITY

Full Transformation Program

Deploy all high-impact interventions simultaneously for maximum EBITDA recovery

Monthly Impact
$609K
Annual Impact
$7.3M
Confidence
NaN%

Annual Impact Comparison

Projected annual EBITDA improvement for each scenario

All Scenarios

1

Full Transformation Program

Deploy all high-impact interventions simultaneously for maximum EBITDA recovery

Annual Impact
$7.3M
NaN% Confidence
2

Six Sigma Quality Program

Eliminate quality-related cost leakage through defect and scrap reduction

Annual Impact
$2.5M
NaN% Confidence
3

Revenue Engine Recovery

Restore pricing power and sales effectiveness to 2023 levels through value-based selling and competitive repositioning

Annual Impact
$2.3M
NaN% Confidence
4

Working Capital Optimization

Aggressive DSO reduction to release trapped cash and reduce working capital financing costs

Annual Impact
$1.4M
NaN% Confidence
5

Predictive Maintenance & OEE

Reduce unplanned downtime through predictive maintenance and equipment reliability

Annual Impact
$1.1M
NaN% Confidence

Interactive "What-If" Analysis

Adjust key operational metrics in real-time to see their projected impact on EBITDA. The causal AI model calculates the financial outcome instantly.

Adjust Metrics

35.4 hrs
0hrsBaseline: 35.4hrs100hrs
4.0%
0%Baseline: 4.0%100%
$0
$500KBaseline: $0$1.5M
0.0%
0%Baseline: 0.0%100%
3.5%
0%Baseline: 3.5%100%

Projected EBITDA

$0
Monthly (current baseline: $76K)

Impact Analysis

Monthly Impact$0
Annual Impact$0
Confidence Level0%

12-Month Projection

How It Works

This interactive tool uses the causal model's regression coefficients to calculate counterfactual EBITDA in real-time. The formula is: Projected EBITDA = Baseline + Σ(coefficient × Δmetric). Confidence levels are computed based on the standard errors of the causal effects. Adjust the sliders to explore different operational scenarios and see their immediate financial impact.

Prescriptive Recommendations

Five actionable initiatives ranked by ROI, with clear implementation roadmaps and expected outcomes.

Total Potential

$8.3M
Combined annual EBITDA improvement

Total Investment

$1.1M
Implementation + annual maintenance

Average ROI

938%
Return on investment

ROI Comparison

Return on investment percentage for each recommendation

Detailed Action Plan

1

Six Sigma Quality Excellence

Deploy Six Sigma methodology to eliminate defects and scrap, reducing quality-related costs by 50%+

Expected Impact
$2.5M/yr
ROI
1,371%
Payback Period
0.9 mo
Timeline
9 months
Medium Difficulty
NaN% Confidence
Highest Priority
2

Working Capital & DSO Optimization

Implement automated collections, payment terms optimization, and credit policy refinement to reduce DSO to 48 days

Expected Impact
$1.4M/yr
ROI
1,174%
Payback Period
1.0 mo
Timeline
4 months
Low Difficulty
NaN% Confidence
3

Revenue Excellence Program

Comprehensive sales enablement and value-based pricing initiative to restore pricing power and win rates to 2023 levels

Expected Impact
$2.3M/yr
ROI
924%
Payback Period
1.3 mo
Timeline
6 months
Medium Difficulty
NaN% Confidence
4

Supplier Quality & Partnership Program

Tier-1 supplier development program to improve incoming quality and reduce supply chain disruptions

Expected Impact
$987K/yr
ROI
658%
Payback Period
1.8 mo
Timeline
6 months
Low-Medium Difficulty
NaN% Confidence
5

Predictive Maintenance & Equipment Reliability

IoT-enabled predictive maintenance program to reduce unplanned downtime by 35%+ and improve OEE

Expected Impact
$1.1M/yr
ROI
561%
Payback Period
2.1 mo
Timeline
8 months
Medium Difficulty
NaN% Confidence

Combined EBITDA Improvement

$8.3M

Annual benefit from implementing all recommendations

Total Investment
$1.1M
Average Payback
1.4 mo

Quarterly OKR Roadmap

Strategic 4-quarter plan to achieve $1-2M EBITDA recovery (targeting $1.5M) through balanced revenue growth and operational excellence

2025 Strategic Goal

Target EBITDA Recovery
$1.5M
Within $1-2M range
Strategic Balance
40% Revenue / 20% Cash / 40% Cost
Multi-lever transformation
Implementation Timeline
4 Quarters
Jan - Dec 2025
Key Initiatives Portfolio
Revenue Growth (Q1-Q2)
  • • DSO optimization & collections
  • • Value-based pricing strategy
  • • Sales enablement & win rate
Cost Optimization (Q3-Q4)
  • • Six Sigma quality program
  • • Supplier excellence
  • • Predictive maintenance & OEE

Q1 2025

(Jan - Mar)

Quick Wins: Cash Flow & Pricing

Cumulative EBITDA Impact
$300K
by end of Q1 2025

Accelerate Collections & Optimize DSO

Deploy automated AR management, payment terms optimization, and credit scoring to reduce DSO and improve cash-based EBITDA

Expected Impact
$17K
Key Results:
Days Sales Outstanding (DSO)
55 days48 days
High Confidence
Accounts Receivable Aging >60 Days
Current<10%
High Confidence
Monthly Collection Rate
Current+15%
Medium Confidence
Payment Terms Compliance
Current95%
High Confidence
Implementation Milestones:
Week 2: Deploy AR management software and customer credit scoring
Week 4: Renegotiate payment terms with top 20 customers
Week 8: Automate payment reminders and collections workflows
Week 12: Achieve 48-day DSO target with sustained performance

Implement Value-Based Pricing Strategy

Deploy pricing analytics, competitive benchmarking, and value messaging to capture pricing power and improve margins

Expected Impact
$2K
Key Results:
Average Selling Price (ASP)
$3,394$3,460
Medium Confidence
Price Realization Rate
Current+2%
Medium Confidence
Discount Rate Average
Current<8%
High Confidence
Premium Product Mix
Current+10%
Low Confidence
Implementation Milestones:
Week 1: Complete pricing analysis and competitive benchmarking
Week 3: Deploy pricing tool and updated price lists
Week 6: Train sales team on value-based selling
Week 10: Achieve $3,460 ASP with 2% realization improvement

Q2 2025

(Apr - Jun)

Revenue Engine Activation

Cumulative EBITDA Impact
$700K
by end of Q2 2025

Sales Enablement & Competitive Positioning

Deploy comprehensive sales training, competitive intelligence, and value selling frameworks to improve win rate

Expected Impact
$20K
Key Results:
Sales Win Rate
29.8%32.5%
Medium Confidence
Sales Cycle Length
72 days65 days
Medium Confidence
Sales Team Training Completion
0%100%
High Confidence
Competitive Win Rate vs. Top 3 Competitors
Current+20%
Low Confidence
Implementation Milestones:
Week 14: Deploy sales enablement platform and content library
Week 16: Complete competitive intelligence training for all reps
Week 20: Implement value selling methodology with certifications
Week 24: Achieve 32.5% win rate and 65-day sales cycle

Customer Retention & Expansion

Deploy customer success programs, upsell/cross-sell campaigns, and loyalty initiatives to improve retention

Expected Impact
$13K
Key Results:
Customer Retention Rate
84%87%
Medium Confidence
Upsell/Cross-sell Rate
14%17%
Medium Confidence
Customer Lifetime Value (LTV)
$38,000$41,000
Low Confidence
Net Revenue Retention
Current110%
Low Confidence
Implementation Milestones:
Week 14: Launch customer success program with health scoring
Week 17: Deploy automated upsell campaigns based on usage data
Week 21: Implement customer loyalty program with referral incentives
Week 24: Achieve 87% retention rate and 17% upsell rate

Q3 2025

(Jul - Sep)

Operational Excellence & Quality

Cumulative EBITDA Impact
$1.1M
by end of Q3 2025

Six Sigma Quality Program

Deploy DMAIC methodology, Statistical Process Control (SPC), and root cause analysis to reduce defects and scrap

Expected Impact
$40K
Key Results:
Defect Rate
3.63%2.70%
High Confidence
Scrap Rate
3.50%2.85%
High Confidence
First Pass Yield
96.4%97.3%
Medium Confidence
Six Sigma Black Belt Certifications
04
High Confidence
Implementation Milestones:
Week 26: Complete DMAIC training and certify 4 Black Belts
Week 29: Deploy SPC on all critical production lines
Week 33: Implement automated defect detection systems
Week 36: Achieve 2.70% defect rate and 2.85% scrap rate

Supplier Quality & On-Time Delivery

Deploy supplier scorecards, performance reviews, and collaborative improvement programs to improve supplier performance

Expected Impact
$11K
Key Results:
Supplier On-Time Delivery (OTD)
88%93%
High Confidence
Supplier Quality Defect Rate
Current<1.5%
Medium Confidence
Supplier Scorecard Compliance
0%100%
High Confidence
Supply Chain Disruptions
Current-50%
Medium Confidence
Implementation Milestones:
Week 26: Deploy supplier scorecards for all tier-1 suppliers
Week 29: Conduct quarterly business reviews with top suppliers
Week 32: Implement collaborative improvement projects
Week 36: Achieve 93% OTD and <1.5% supplier defect rate

Q4 2025

(Oct - Dec)

Sustain & Scale

Cumulative EBITDA Impact
$1.5M
by end of Q4 2025

Predictive Maintenance & OEE Optimization

Deploy IoT sensors, predictive analytics, and TPM (Total Productive Maintenance) to maximize equipment effectiveness

Expected Impact
$28K
Key Results:
Overall Equipment Effectiveness (OEE)
74.0%79.0%
High Confidence
Unplanned Downtime Hours
24 hrs/month16 hrs/month
High Confidence
Predictive Maintenance Coverage
0%80%
Medium Confidence
Manufacturing Lead Time
17 days14 days
Medium Confidence
Implementation Milestones:
Week 38: Deploy IoT sensors on all critical equipment
Week 41: Implement predictive analytics platform
Week 45: Train technicians on TPM and predictive maintenance
Week 50: Achieve 79% OEE and 16-hour unplanned downtime

Continuous Improvement Culture & Governance

Establish governance frameworks, KPI dashboards, and continuous improvement teams to sustain gains

Expected Impact
$27K
Key Results:
Monthly EBITDA Run Rate
$68,852$77,602
High Confidence
EBITDA Margin
2.4%3.3%
High Confidence
Active Continuous Improvement Projects
015+
High Confidence
Employee Suggestion Implementation Rate
0%60%
Medium Confidence
Implementation Milestones:
Week 38: Establish CI governance and steering committee
Week 42: Deploy real-time KPI dashboards for all departments
Week 46: Launch employee suggestion program with rewards
Week 52: Achieve $8.75K monthly EBITDA improvement target

Expected Results by EOY 2025

Monthly EBITDA Run Rate
+$125K
$1.5M annual improvement
EBITDA Margin Recovery
+4.3%
Toward 6-7% target
Annual Impact
$1.5M
Recovery target achieved
ROI (3-year)
500%+
Avg across portfolio
CoreSync OS Multi-Tenant Intelligence

Cross-Tenant Causal Impact Flows

See how operational improvements cascade across the organization. Each tenant's actions create ripple effects measured in real-time causal coefficients.

Quality → Revenue Feedback Loop

Demonstrating causal intelligence across tenants

$2.5M Annual EBITDA
12 months
High Confidence
Plant Manager
Step 1

Reduces Defect Rate from 10.8% → 5.4%

Operations
Step 2

OEE improves from 72.4% → 80% (+7.6pp)

Sales Manager
Step 3

Win Rate increases via NPS improvement

CEO
Step 4

EBITDA gains $2.5M from Six Sigma initiative

Pricing → Cost Cascade

Demonstrating causal intelligence across tenants

$608K Annual EBITDA
6 months
Medium Confidence
Sales Manager
Step 1

Enforces $3,200/unit pricing floor

Finance
Step 2

ASP stabilizes at $24,200 (+$4,100)

Plant Manager
Step 3

Avoids cost-cutting pressure on quality

CEO
Step 4

EBITDA margin recovers to 5.5%

Supplier Quality → Sales Cycle Impact

Demonstrating causal intelligence across tenants

$613K Annual EBITDA
9 months
High Confidence
Plant Manager
Step 1

Improves Supplier Quality Score 78% → 95%

Operations
Step 2

Reduces production delays and rework

Sales Manager
Step 3

Sales cycle shortens by 25 days

CEO
Step 4

Market share recovery 13.9% → 18.2%

Explore Other Tenants

CoreSync OS provides role-specific dashboards for every stakeholder

Plant Floor Manager (Mike Chen)

Shift-level OEE tracking, defect root cause analysis, downtime triage, and daily task prioritization.

Coming Soon

Sales Manager (Sarah Martinez)

Pipeline health, deal prioritization, pricing discipline, win rate drivers, and rep performance analysis.

Coming Soon

About Us: CausalBeacon AI & CoreSyncOS

Welcome to the CausalBeacon AI demo for Acme Manufacturing. This interactive experience showcases how Envizo's proprietary AI operating system, CoreSyncOS, empowers organizations to achieve unprecedented clarity, alignment, and flourishing.

What is CausalBeacon AI?

CausalBeacon AI is a specialized application built on the CoreSyncOS platform, designed to illuminate the true drivers of performance for specific industries and roles. This demo provides a glimpse into a manufacturing-focused tenant of CausalBeacon, demonstrating how leaders can:

Identify True Causal Drivers

Move beyond correlations to understand what truly impacts key metrics like EBITDA.

Explore Scenarios & Recommendations

Test "what-if" hypotheses and receive data-backed, high-ROI recommendations.

Align Teams with OKRs

Translate strategic goals into actionable, causally-linked objectives and key results across departments.

How CausalBeacon Is Different

Traditional BI tools and even AI-assisted analytics fall short when it comes to driving measurable EBITDA outcomes. Here's why CausalBeacon delivers what others can't:

CapabilityTraditional BI
(PowerBI, Tableau, NetSuite)
LLM-Assisted
(ChatGPT, Co-pilot)
CausalBeacon AI
(Aligned Prescriptive)
Shows "What Happened"
Explains "Why It Happened"
(Causal, not correlation)
⚠️
Guesses

Proven
Prescribes "What to Do"
(ROI-ranked actions)
⚠️
Generic

Specific
Quantifies Financial Impact
(EBITDA per intervention)

$-Level
Aligns Cross-Functional Teams
(Plant, Sales, CEO)

Multi-Tenant
Tracks Execution Progress
(OKRs to completion)

Full Loop

LLM-Assisted Prescriptive

Problem: Generic, uncoordinated suggestions

  • • ChatGPT suggests "improve quality" but doesn't quantify which defect type costs you $613K/year
  • • No alignment between Plant Manager's actions and Sales Manager's win rate
  • • CEO gets 10 recommendations but no ROI ranking or causal proof
  • • No execution tracking—initiatives die in spreadsheets

Result: Debate paralysis, wasted budget, no measurable EBITDA impact

CausalBeacon Aligned Prescriptive

Solution: Causal, coordinated, tracked execution

  • Causal precision: "Reducing Welding Defects by 40% yields $2.5M EBITDA recovery (95% confidence)"
  • Cross-tenant coordination: Plant Manager's quality improvements automatically flow to Sales via NPS → Win Rate → CEO's EBITDA
  • ROI-ranked roadmap: CEO sees top 5 initiatives sorted by payback period (e.g., Six Sigma: 1,371% ROI, 9-month payback)
  • Execution tracking: Quarterly OKRs with cumulative EBITDA targets from $300K (Q1) to $1.5M (Q4)

Result: $1.5M EBITDA recovered in 12 months with full organizational alignment

The Power Behind the Platform: CoreSyncOS

At the heart of CausalBeacon AI is CoreSyncOS – the Core Synchronization Operating System for Agentic Organizations. CoreSyncOS is Envizo's foundational technology that addresses a critical challenge in modern enterprises: the disconnect between strategic intent and operational execution.

CoreSyncOS works by:

Our Vision: Flourishing Through Intelligent Systems

Envizo's mission is to envision a future with more flourishing by applying advanced technologies to radically improve company systems. CoreSyncOS and CausalBeacon AI are the embodiment of this vision, transforming how organizations operate by making work more intelligent, more meaningful, and ultimately, more human.

Integration & Next Steps

CausalBeacon integrates seamlessly with your existing systems to provide continuous intelligence.

Connected Systems

NetSuite ERP

Financial & operational data

Connected

MES/SCADA

Real-time production metrics

Connected

Quality Management

Defect & quality data

Connected

Supplier Portal

On-time delivery metrics

Connected

CausalBeacon AI Platform Benefits

Continuous causal monitoring of operational and financial KPIs
Automated alerts when causal drivers exceed thresholds
Monthly counterfactual scenario analysis and recommendations
Integration with existing ERP, MES, and QMS systems
Executive dashboards with real-time insights
Predictive maintenance and quality forecasting

Implementation Timeline

1

Discovery

2 weeks

  • Data source mapping
  • KPI definition
  • Stakeholder interviews
2

Pilot Implementation

4-6 weeks

  • System integration
  • Model training
  • Dashboard deployment
3

Full Deployment

8-12 weeks

  • Organization-wide rollout
  • Training & change management
  • Continuous optimization

Ready to Transform Your Operations?

Schedule a discovery session to see how CausalBeacon AI can identify root causes and prescribe high-ROI solutions for your manufacturing operations.

Contact Envizo Solutions

Proven Results

Our causal AI platform has helped manufacturing companies identify $50M+ in annual EBITDA improvements across quality, efficiency, and supply chain operations.

15-25%
Scrap Reduction
20-30%
Downtime Reduction
10-15%
OEE Improvement

© 2025 Envizo Solutions | CausalBeacon AI Platform