We exist because enterprise AI keeps failing.
Not because the technology is wrong. Because the implementation is. We're the team that fixes the gap between AI ambition and operational reality.
The problem isn't intelligence. It's infrastructure + strategy.
Every Fortune 500 company has an AI strategy. Most have pilots. Few have results. The pattern repeats: leadership greenlights an initiative, technical teams build a proof of concept, and the whole thing stalls at the boundary between technology and operations.
We saw this happen hundreds of times across industries. The missing piece was never smarter models or better data scientists. It was the operational architecture that lets AI act safely inside real business systems built for humans.
OIC was founded to be that missing piece. We're not another AI vendor. We're the implementation partner that redesigns how your organization actually works with AI.
The biggest roadblocks are not technical but organizational — relating to people, strategy, and processes.Boston Consulting Group, 2025
Outcomes over outputs
We don't measure success by models deployed or dashboards built. We measure P&L impact, adoption rates, and time-to-value. If it doesn't move the business, it doesn't matter.
Data foundation first
Every engagement starts with making your data AI-ready. Not because it's exciting, but because nothing works without it. We fix the plumbing before we turn on the faucets.
Embedded, not external
We deploy inside your teams, not around them. Our engineers sit alongside yours. Our methodology becomes yours. When we leave, the capability stays.
Transparency as default
Every AI decision is traceable. Every workflow is auditable. We build for the regulators you'll face in two years, not the demos you need today.
Speed with governance
30 days to measurable value isn't a marketing claim. It's a methodology. Fast doesn't mean reckless — it means focused, sequenced, and unblocked.
Dual-citizen thinking
The best AI systems are designed by people who speak both business and technology fluently. We hire for that fluency, and we build it into every solution.
Josh Wyatt
Former SVP of AI, Operations, Data & Analytics. Built OIC to fix the implementation gap that technology alone can't close.
Tucker Bohman
Former Accenture and engineering lead. Brings deep enterprise systems expertise to architect the infrastructure that makes AI work at scale.
Brett Pedersen
Former VP of AI, Data & Operations. Owns our embedded methodology and ensures every engagement hits the 30-day value mark.
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