The 2026 State of AI in Enterprise
Where AI is actually shipping in 2026.
We surveyed 30 enterprise AI deployments across financial services, healthcare, retail, logistics and SaaS. This eBook is what we learned about what works, what fails, and where the frontier is moving next.
What's inside
- The 5 AI patterns that ship in production (and the 3 that don't)
- Why 70% of POC models never make it past the pilot
- The MLOps stack we built to ship 30+ production models
- Industry breakdowns: fintech, healthcare, retail, logistics
- Real metrics from real deployments — precision, latency, ROI
- A 90-day roadmap for your first production AI deployment
The 2026 State of AI in Enterprise
Six chapters, all backed by real deployments.
Every chapter is grounded in a real production deployment we shipped for a client. No theory. No vendor pitches. What actually works.
AI customer support
How to ship chatbots that actually resolve tickets — not escalate 90% of them.
Predictive analytics
Demand forecasting, churn prediction, risk scoring — with feature stores and retraining.
Computer vision
Defect detection, OCR, medical imaging — what works at the edge vs cloud.
NLP & document AI
Document classification, extraction, RAG pipelines — with audit logs for compliance.
Fraud detection
Real-time scoring at 4,500 transactions/second with explainability for compliance.
RPA & automation
Bots that handle repetitive workflows across legacy + SaaS systems — and don't break.
Read it tonight. Use it tomorrow.
The eBook is 42 pages, 9 min read. You'll finish it on the commute home and have a clear picture of where AI is shipping in 2026 — and where it isn't.