The automation era produced tools that assist humans. The autonomy era replaces the work entirely. Enterprises that will define the next decade are not optimizing their operations with better workflow tools; they are deploying autonomous agents that execute complex processes end-to-end, with humans governing by exception.
This is the distinction that separates incremental efficiency gains from operating model transformation. The old model: humans doing the work, tools assisting at the margins. The new model: agents doing the work, humans setting the rules. Every enterprise still running the old model is carrying a cost structure, a speed constraint, and a risk profile that autonomous operations eliminate.
Analyst firms are converging on this shift. Otera (previously DeepOpinion) was included in the IDC Market Glance: Agentic AI Applications, Tools, and Technologies, 2Q25 (doc #US53565925, June 2025), recognized among the vendors defining this fast evolving space..
From Automation to Autonomy: A New Model
RPA and workflow engines were built for structured, repetitive tasks. They break when they encounter ambiguity, unstructured data, or processes that demand judgment: underwriting, claims adjudication, customer onboarding, trade finance. These are the processes where the most operational cost concentrates, and where legacy automation delivers the least.
Autonomous operations replace this model at the root. Otera deploys specialized decision agents that reason through complexity, make decisions within governed parameters, and execute entire processes from intake to resolution. Humans do not touch routine work. They intervene only when true judgment is required, governing outcomes rather than performing tasks.
The result is not a faster version of what enterprises already run. It is a different operating model entirely: one where core operations execute continuously, autonomously, and at a fraction of the legacy cost structure.
What Makes Autonomous Operations Different
Otera delivers autonomous operations across the most complex, exception-heavy processes in regulated industries. Three capabilities define the model:
Autonomy at scale. Specialized agents execute end-to-end, from document intake through decision-making to final resolution, processing millions of cases across enterprises like Allianz, Siemens, and Hannover Re.
Governance by design. Every agent decision carries confidence scoring, full auditability, and configurable exception routing. Compliance and human oversight are structural to the operating model, not bolted on after deployment. This is what makes autonomous operations viable in banking, insurance, and government, where regulatory scrutiny is constant.
Velocity to production. Enterprises go live in 6-12 weeks with zero customer training data required, eliminating the 12-to-18-month implementation cycles that have defined enterprise automation programs for decades.
Enterprise customers already running on Otera report 90%+ reductions in operational cost across core business processes, replacing cost structures that previously required hundreds of operators to sustain.
From Process Optimization to Autonomous Execution
The shift from automation to autonomy is not incremental. It is structural. Enterprises that make this shift do not get a marginally improved version of their current operations. They gain an entirely new capacity: the ability to handle ten times the volume without ten times the headcount, to enter new markets without building new operations teams, and to convert operational cost into competitive advantage worth hundreds of millions.
The IDC Market Glance confirms what is already running in production at some of the world's largest enterprises. The question for every C-level leader in insurance, banking, and government is no longer whether autonomous operations will replace legacy automation. It is whether their organization will lead the shift or follow it.
Next Steps: From Insight to Action
Next Steps: From Insight to Action
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