ROI Calculator

Quantify the ownership advantage. See how AI-native infrastructure compounds into intelligence that rented software never will.

Your Details

Employees who will use the system daily

$

Per user, per month

ERP, TMS, carriers, third-party systems, etc.

years
%

10-Year Cost Comparison

AI-Native System (Owned) $382,000
Engineering + Infrastructure + Support
SaaS Solution $540,000
Monthly fees + Integrations + Growth
10-Year Savings with Owned Infrastructure
$158,000

Cost Breakdown

Operations Engineering $250,000
Infrastructure (10yr) $72,000
Support & Enhancements $60,000
Break-even Point 18 months
Schedule a Strategic Assessment

We'll architect a detailed proposal for your specific operations

Why Proprietary Data Architecture Matters

Cost savings are just the entry point. The real value is a compounding data moat: every day of operations trains intelligence that competitors on rented platforms can never access.

Train AI on Your Complete Operational History

SaaS platforms restrict data exports and API access. With proprietary data architecture, you train AI models on years of operational history: demand patterns, customer behavior, supplier performance. Every month of data deepens a moat that competitors on rented platforms cannot cross.

Real-Time Decision Automation

When you own your database, AI queries live operational data instantly. No waiting for nightly syncs, no stale reports. Decision automation layers run against data that is seconds old, not days, turning operational signals into action before competitors even see them.

Privacy-First Intelligence

Run sensitive analysis on-premises with local AI models. Customer data, pricing strategies, and competitive intelligence never leave your infrastructure. You own the intelligence, not just the interface. Meet compliance requirements without sacrificing AI capabilities.

No Vendor Lock-In

Switch AI providers as better models emerge. Move to any cloud or on-premises. Integrate any future technology. Your proprietary data architecture adapts to innovation rather than being trapped by yesterday's vendor decisions.

The bottom line: Every day you operate on owned infrastructure, your data moat deepens. Companies that own their operational intelligence can compound AI advantages that SaaS-dependent competitors will never close. This gap widens with every quarter.

How AI Intelligence Compounds Over Time

Every year on owned infrastructure deepens your competitive advantage. The companies that thrive will be those whose AI systems learn from proprietary operational data, not those renting generic tools and hoping for the best.

Year 1

Lay the foundation. Core operations run on your infrastructure, and structured data collection begins from day one.

Year 3

Predictive models train on YOUR operational data. Decision automation surfaces patterns invisible to teams running on generic SaaS.

Year 5+

Proprietary intelligence competitors cannot replicate. Years of compounding operational data create an insurmountable AI advantage.

How We Calculate

Operations Engineering Costs

  • Engineering: Base $150k + $25k per integration + $50k for decision automation
  • Infrastructure: $1,500-3,000/month based on user count
  • Support: ~15% of development cost annually for enhancements

SaaS Costs

  • Monthly fees: Per-user cost × users × 36 months
  • Growth: Additional users added at your growth rate
  • Integrations: $1,000/month per middleware connection

These are estimates based on typical engagements. Your actual costs may vary.