Operational Intelligence Consulting
The infrastructure
behind enterprise AI
that actually works.
Most business systems were designed for human actors at human speed. We redesign the operational architecture so AI can act safely — and delivers predictable outcomes.
Key metrics
0
Enterprise-wide
AI adoption achieved
AI adoption achieved
0
Year 1 savings
delivered
delivered
0
Days to
measurable value
measurable value
Enterprise AI failure research
The majority of enterprise AI pilots never deliver measurable return.
This isn't our opinion. It's what the research says.
MIT Media Lab
The GenAI Divide: State of AI in Business 2025 (opens in new tab)
95%
of enterprise AI pilots deliver
zero measurable P&L impact
zero measurable P&L impact
Based on 300+ initiatives, 150 leader interviews, and 350 employee surveys. Large enterprises average 9 months to scale vs. 90 days for mid-market firms.
"Generic tools stall in enterprise use since they don't learn from or adapt to workflows. The biggest ROI is in back-office automation — yet more than half of budgets go to sales and marketing."
MIT NANDA Initiative — August 2025
McKinsey & Company
The State of AI: Global Survey 2025 (opens in new tab)
61%
of organizations report zero
enterprise-level EBIT impact from AI
enterprise-level EBIT impact from AI
Survey of 1,993 participants across 105 countries. 88% claim to use AI, but two-thirds remain stuck in pilot mode. Only 6% qualify as high performers.
"Only 21% of organizations have fundamentally redesigned workflows as they deploy AI. Most are bolting AI onto broken processes — and wondering why it doesn't work."
McKinsey Global Survey — November 2025
Boston Consulting Group
The Widening AI Value Gap (opens in new tab)
60%
of companies generate no material
value from AI despite investment
value from AI despite investment
Survey of 1,250 executives worldwide. Only 5% are "future-built." The gap between leaders and laggards is accelerating — leaders see 3.6× greater shareholder returns.
"The biggest roadblocks are not technical but organizational — relating to people, strategy, and processes. Transformation should focus 70% on people and processes, 20% on technology, and only 10% on algorithms."
BCG — September 2025
The problem isn't AI. It's how companies implement it.
The operational intelligence divide.
Scroll to see the problem
Business Leaders
Know the problems
Technical Teams
Know AI
←
→
OIC
The bridge. The platform.
The embedded team.
The embedded team.
We're building the platform, the methodology, and the embedded team that closes this gap — permanently.
What we deliver
AI Operations PlatformOrchestration
Embedded PartnershipForward deployed engineers
Data Foundation FirstMethodology
Dual-Citizen ArchitectureAgent-ready data
Full Enterprise ControlTransparency
Enterprise AI you can actually trust.
Predictable AI. Measurable outcomes.
Safe, governed AI — built to scale.
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