Rodgers Intelligence Group · Denver, CO

82% of AI
never reaches production.
Not from bad tech.
From no operating model.

I am Mike Rodgers. Forward Deployed Engineer. Fractional CAIO. I ship the 12-gate governance operating model that makes AI board-defensible — built from $32B in mergers, 130,000+ patients, and ED waits cut from 3 hours to 15 minutes.

See the 12 Gates
US Mid-Market AI Waste · Since You Opened This Page
$0
$16.29B annually · Freshworks 2026 · $1,860/sec
82%Never Ship
287%Prod ROI
$16BWasted/Yr
95%Zero P&L
2%At Scale
Prosigns State of Enterprise AI 2026 · MIT/BCG · Freshworks · Kaufman Rossin · RSM

AI dies in pilot.

Most organizations can start an AI pilot. Few can ship it to production. The gap between pilot and production is not a technology gap. It is an operating model gap.

There is no governance layer. No checkpoints. No signed audit trail. No proof that the AI made the right decision. No way to tell the board what happened, why it happened, and that it will happen the same way tomorrow.

That gap costs the US mid-market $16.29 billion per year in wasted AI investment. The average stalled pilot burns $7.2 million before someone admits it failed.

Twelve gates. Zero blind spots.

Every AI deployment passes through twelve cryptographically-signed checkpoints. No bypass. No "urgent" exceptions. Each gate answers a specific question the board will ask when something goes wrong.

i

Data Validation

Integrity verified at the boundary. Corrupt feeds and PII caught before AI sees them.

ii

Integration Test

Full test suite must pass. The test failure IS the deploy failure. No human override.

iii

Change Verification

Hash-verified output comparison. If the result changed, the reason is in the signed log.

iv

Human Approval

Risk-tiered: above 85% auto-executes. Clinical and financial decisions always escalate.

v

ProofPacket Signing

HMAC-signed audit trail. "Done" is cryptographically verifiable. Not a Slack message.

vi

Compliance Gate

HIPAA, SOC 2, EU AI Act verified. Drift detection, rollback triggers, board reporting.

vii

Model Drift Detection

Statistical monitoring. Alerts when production behavior diverges from validation.

viii

Rollback Gate

Auto-revert to last-known-good state. Zero downtime. Full audit trail preserved.

ix

Performance Gate

Latency, throughput, cost thresholds. If AI costs 3x projected, the gate blocks.

x

Security Gate

Adversarial input detection. Prompt injection defense. Output safety filtering.

xi

Observability Gate

Every inference logged: model version, input/output hash, confidence, gate status.

xii

Board Reporting

Automated executive dashboard. Deployments, pass rate, drift, ROI, risk register.

Pilot Trap vs Production

Without RIG

  • -34% ROI (pilot-only)
  • 82% never ship
  • 25% of AI budget wasted
  • $7.2M avg sunk cost
  • No audit trail
  • Manual deployment
  • Reactive compliance
  • 9+ months to production

With RIG

  • +287% ROI (production)
  • 94% pass rate (MLOps)
  • <5% budget waste
  • $0 sunk cost
  • HMAC-signed audit trail
  • 12-gate automated pipeline
  • Proactive compliance
  • ~90 days to production
Production Proof

Not theory. Production.

94% of organizations with advanced MLOps report positive ROI. Only 11% of ad-hoc setups do. I am the 94%.

$32B
Merger Governance
AI across a $32B hospital merger. 130K+ patients.
3h to 15m
ED Wait Reduction
Cut emergency department waits by 87%.
GWU
Innovation Award
George Washington University, patient flow.

Same gates. Your world.

The 12 gates adapt to your industry's compliance requirements. Each vertical gets a purpose-built governance checklist.

Stop wasting.
Start shipping.

Free AI readiness assessment. Walk away with a 90-day deployment plan and the 12-gate checklist. Regardless of who you hire.

Or call 262.343.5680 · Mike replies personally within 24h
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