Forrester: Enterprise Software Entering Largest Shift Since Cloud as AI Agents Reshape Business Applications

Artificial intelligence agents are driving what Forrester researchers describe as "the largest shift in business software since cloud computing," according to an analysis published on CustomerThink on September 23, 2026. The piece, republished from a Forrester report titled How Business Applications Become Agentic, outlines a new operating model the firm calls the "agentic business fabric."

For decades, enterprise platforms — including customer relationship management (CRM), enterprise resource planning (ERP), human capital management (HCM), and supply chain systems — have functioned as what the authors describe as "digital systems of record, where employees navigate apps, execute tasks, and manually coordinate work across silos." The analysis contends that AI fundamentally reverses that model, with agents now operating across applications under employee oversight rather than the other way around.

Front-Office Systems Leading Adoption

According to the analysis, the transition will not be uniform across the enterprise. Front-office platforms — including CRM, customer service, and digital experience applications — are described as leading adoption because they "sit closest to customer and employee interactions," generate rich behavioral data, and produce measurable outcomes such as conversions and resolution rates. Human oversight in these environments can also correct mistakes, making them, in the authors' assessment, suitable for early agent deployment.

Back-office applications, by contrast, face what the analysis calls "a much steeper path." ERP, supply chain, procurement, and many HCM processes operate under strict financial controls, audit requirements, and regulatory mandates. The analysis notes that while "an incorrect recommendation during a customer conversation may create inconvenience," an error in payroll, inventory commitments, or financial postings "can create legal exposure, operational disruption, and material financial risk." The authors conclude these domains will require "far stronger governance, observability, compliance controls, and deterministic guardrails" before autonomous execution can be broadly trusted.

Implications Beyond Technology

The analysis frames the shift as extending well beyond software infrastructure. It describes implications for "workforce design, operating models, governance, and software economics." On pricing, the authors predict vendors will move away from per-seat licensing toward "consumption-, transaction-, resolution-, and outcome-based pricing models."

The authors also flag that traditional functional boundaries between sales, marketing, service, finance, and operations "will begin to blur as end-to-end workflows replace departmental handoffs."

Cross-Application Workflows Identified as Key Opportunity

The analysis identifies cross-application orchestration as the central strategic opportunity, arguing that "the greatest opportunity is not automating tasks inside CRM, ERP, or HCM systems but reimagining the workflows that connect them." It frames organizational success over the coming decade as belonging not to those that "merely add agents to existing software" but to those that use agents to orchestrate work across the entire enterprise.

On implementation challenges, the authors caution that deploying agents alone is insufficient. Organizations must, according to the analysis, "define clear boundaries between probabilistic reasoning and deterministic control," embed compliance into workflows, establish new approaches to AI value measurement, and prepare employees for changes in how work gets done. The analysis states: "The challenge is not simply implementing agents — it is redesigning the enterprise around them."