Last year, every enterprise I talked to was focused on one question: How fast can we deploy AI?
In the rush, they neglected two other questions that are just as important: “Which AI investments are actually delivering value?” and “How do we scale the ones that work?”
The results are in, and they aren't good. 88% of AI proofs of concept never reach production, and 74% of companies fail to achieve scalable business value from their AI investments.
I've spent two decades building and delivering enterprise technology, and I'll tell you what I've seen: this isn't a technology problem.
The problem is delivery: getting AI ready for business rapidly, reliably, profitably, and (most important for true enterprise transformation) consistently across the entire organization.
AI Delivery as a Cottage Industry
Here's why enterprises are stuck. Despite investing billions, they still build, buy, and deliver AI the way craftsmen built furniture in the 18th century: one piece at a time, by hand, with no shared standards and no way to scale. Teams adopt AI independently, each with different tools, processes, and stakeholders. Models, vendors, and agents get tracked in siloed tools or spreadsheets — if they're tracked at all.
That worked when an enterprise had a few dozen traditional models. But AI delivery officially hit gridlock the moment generative AI arrived. Agents have blown it apart entirely. We estimate that 50% of AI projects are delayed or abandoned because of process friction, and a stunning 98% of CEOs don't know where AI is being used across their organizations.
The result is a binary trap: either Wild West innovation that overruns budgets, or an overcorrection into rigid governance that strangles it. Both options fail.
There's a third path, and it's the only one that scales: industrialized AI delivery.
The Industrialized AI Delivery Imperative
The history of every major technology is the same: invention first, then industrialized production. AI has completed the first phase. The next phase belongs to whoever can deliver AI at industrialized scale — rapidly, safely, and profitably.
Enterprise AI has been waiting for this moment. Today, it arrives.
Introducing MADE™
For seven years, ModelOp’s Enterprise AI Command Center has served as the system of record that unifies all AI across the enterprise—ML, GenAI, Agentic AI, and vendor AI. Fortune 500 companies have used it to safely accelerate AI delivery from over a year to weeks.
Today we're launching the ModelOp AI Delivery Engine (MADE™): a proprietary, agentic-powered engine that lets enterprises compress AI delivery from weeks to days, while keeping every lifecycle step inside policy.
Think of it this way: the Enterprise AI Command Center is the cockpit, where leaders see every AI in the enterprise and control where it's headed. MADE is the engine that powers it, continuously progressing each AI solution through its lifecycle and dynamically maintaining each AI solution in its system of record.
MADE’s new agentic-powered framework is how teams safely take AI delivery from weeks to days. Workflow-directed agents automate intake, risk analysis, testing, documentation, and reviews—all guided by policy at every stage.
What’s most exciting: Customers and systems integrators can plug their own agents into MADE to scale and accelerate enterprise AI delivery without adding headcount.
Seeing What AI Costs and What It Returns
An engine is only useful if you can see where you're going.
Because MADE brings workflows and operational intelligence together in one operating layer, leaders finally get portfolio-level control: real-time visibility into cost, token usage, risk, and ROI across every model, solution, and agent. You can prove value to the board, scale what's working, and eliminate what isn't.
And the results compound. Enterprises that industrialize delivery with ModelOp see 10x faster time-to-value, 100% policy adherence, and an average of $20M in savings over the status quo.
Purpose-Built for What's Coming
I believe the only way to unlock the world-changing promise of AI is to industrialize its delivery.
MADE is the engine that makes it possible.
The cottage industry is over. It's time to industrialize.
