For years, the call for automation was relatively straightforward: improve efficiency, eliminate manual work, and streamline business processes. Organizations focused on automating individual tasks, connecting systems, and accelerating operations through workflows and integrations.
Today, that challenge is becoming far more complex. As AI becomes embedded into business operations, enterprises are no longer just looking to automate processes. They are trying to coordinate AI, systems, people, and decisions together in a way that is scalable, transparent, and governed.
That shift is reflected in The Adaptive Process Orchestration Software Landscape, Q2 2026 report from Forrester Research, where Decisions was included as a vendor serving the emerging Adaptive Process Orchestration (APO) market.
The report highlights a growing category of platforms designed to combine traditional workflow automation with AI-driven orchestration, autonomous decision-making, governance, auditability, and human oversight.
Automation Alone Is No Longer Enough
Most enterprises already rely on multiple automation technologies.
One platform manages workflows. Another handles integrations. Separate tools power business rules, document processing, or robotic process automation. AI initiatives are often layered on top of these disconnected systems.
The result is operational fragmentation.
As AI adoption accelerates, disconnected automation environments create new challenges around governance, visibility, compliance, and scalability. Organizations are realizing they cannot operationalize AI effectively with siloed infrastructure and isolated automation tools.
Instead, businesses are moving toward unified orchestration platforms that can coordinate and govern workflows, AI agents, systems, rules, and human decisions from a centralized environment.
