Enterprises have begun replacing sections of commercial software with custom-built agents, a trend that signals a fundamental change in how large organizations approach technology acquisition and internal development. According to a recent CIO Dive report on McKinsey research, companies are deploying these autonomous systems at an accelerating pace, often choosing to construct solutions internally rather than continue licensing features from vendors.
What is being replaced
The examples cited range from routine customer support chat functions to more specialized analytics dashboards that once required expensive third-party licenses. In several cases, companies replaced workflow automation modules from major enterprise resource planning systems with lighter, purpose-built agents that integrate directly with existing databases. The common thread is not ripping out large platforms wholesale, but carving out specific capabilities and rebuilding them as agents that sit on top of current systems.
Productivity gains across departments
Customer service teams report handling 25 to 40 percent more inquiries without adding headcount, largely because agents manage initial triage, gather relevant background information, and suggest responses that human agents can approve or refine. Finance departments have automated invoice matching and exception handling, tasks that once consumed entire teams of analysts. The gains are most visible where the work is repetitive, the inputs are structured enough for an agent to act on, and the organization already has the APIs and data access needed to connect an agent to the underlying systems.
What makes this possible now
The technical foundation rests on advances in large language models and orchestration frameworks that allow agents to plan, use tools, and maintain memory across extended interactions. Modern agent architectures can break complex tasks into subtasks, select appropriate software interfaces, and recover from errors without constant human intervention. Enterprises with mature cloud environments and strong API layers find it easier to embed these agents into existing processes, while organizations with fragmented systems or weak integration face a harder path.
The risk side
Replacing commercial software with custom agents does not eliminate risk; it shifts it. Licensed software comes with vendor accountability, upgrade paths, and support contracts. Custom agents introduce dependencies on internal expertise, model behavior that can drift, and governance questions about what an agent is allowed to do, what it can access, and how its actions are audited. The organizations that are moving fastest are not necessarily the ones with the clearest controls, which is why the most cautionary stories are likely to come from early production use rather than from the build phase.
What this means for IT strategy
The bigger implication is that the line between buying software and building it is blurring. If agents can replicate meaningful chunks of commercial functionality at lower ongoing cost, enterprises will have a stronger incentive to keep more logic in-house—provided they can staff, govern, and maintain those agents over time. The trend is still early, but it points toward a future where technology procurement and internal development are less separate decisions than complementary parts of the same automation strategy.