Every major enterprise is running an AI program. Almost none of them are ready for it.
Genpact, in partnership with HFS Research, surveyed more than 2,000 enterprise executives across industries and functions as part of our study on how four enterprise debts will make or break your AI future. The findings are confirming and clarifying: Ambition is high, readiness is low, and the gap between the two is compounding.
The data is unambiguous: 85% of leaders say their underlying foundations, fragmented data, ungoverned processes, aging systems, and undertrained talent are actively working against their AI investments. Enterprises are directing 13% of average function spend toward AI. The foundations on which spending depends are not ready for it. Layering AI on top of processes that were never designed for it does not unlock value. It locks in the cost of the status quo at machine speed.
1 STRUCTURAL FAILURE, 4 COMPOUNDING DEBTS
Enterprise debt does not appear on a balance sheet. It accumulates quietly, in systems held together by tribal knowledge, in data no one fully trusts. Often, processes are so layered with workarounds that they have become the workflow. And with a workforce so used to the dysfunction, they no longer notice it.
Four distinct forms of it compound into a single structural failure. The instinct is to treat them separately. That instinct is wrong.
1. Technology debt. Core systems are, on average, 10 years old. Developers spend most of their time keeping that infrastructure alive, not building what AI actually requires.
2. Data debt. Most functional data are not AI-ready. Teams spend their days reconciling, correcting, and preparing it. Work that produces no output crowds out the work that does.
3. Process debt. Half of all enterprise processes require manual intervention end-to-end. You cannot reliably automate what you have not reliably defined.
4. Talent debt. Organizations hire knowledge workers to think and decide. Broken systems ensure most of them spend their days doing neither.
We found that these four debts consume more than 40% of enterprise capacity, a large share of the engine running just to stand still. Fix one without fixing the others, and you automate the inefficiency rather than eliminate it. The failure mode is always the same: Treat one debt in isolation, and the others absorb the pressure.
PROCESS INTELLIGENCE IS THE INTEGRATING LAYER
The four debts do not fail independently. They fail together at the last mile, where AI meets the actual complexity of how a business runs. That is a process intelligence gap.
Frontier models are extraordinary. They handle roughly 80% of most enterprise tasks. The remaining 20% is where the actual business lives. These are the exceptions and edge cases, the decisions that carry real risk.
Closing that gap requires deep knowledge of how processes flow, where data breaks down, and where human judgment determines the outcome. Process intelligence is the integrating layer that makes it possible to resolve all four debts. It is the connective tissue between a transformation plan and a transformation result.
No artificial intelligence without process intelligence. That is the conviction we operate from.
WHAT THE 6% KNOW
We found that only 6% of enterprises qualify as proven debt resolvers, while 51% have no resolution plan in place. The gap is a matter of execution.
Proven debt resolvers treat this as a CEO mandate rather than an IT project. Debts spanning data, process, technology, and talent cannot be owned by a single function, and the leaders who are succeeding know it. They share one insight the others have not internalized: You cannot solve a compounding problem with a single bet. They do not pick the most visible debt to fund. They build across all four, because they understand that progress in one area is undone by weakness in another. The foundation either holds everywhere or it does not hold.
And they compound. Every deployment creates reusable components, trained models, and encoded institutional knowledge. The first move is the hardest. The tenth is dramatically easier. That is the nature of the advantage, and it belongs to whoever starts.
THE WINDOW IS OPEN, BUT NOT INDEFINITELY
Resolving these four debts across Global 2000 companies could unlock 8% faster revenue growth and 16% lower operating costs, according to our study. It is the largest underutilized performance opportunity in business today. And it compounds in favor of whoever moves first.
The mandate belongs to leaders willing to do the foundational work, not just fund the technology. The gap compounds every quarter an organization waits. Build the foundation, or fall behind.
Balkrishan “BK” Kalra is president and CEO of Genpact.