"Zero to Autonomy". Otera's 2024 End-of-Year Product Launch Recap

Enterprises that depend on manual operations carry a structural vulnerability. When demand surges or complexity spikes, the only available response is more people, more hours, and more cost. At Otera's (previously DeepOpinion) 2024 "Zero to Autonomy" End-of-Year Product Launch, organizations including CED Group and e& shared how they have eliminated that constraint by replacing manual operations with autonomous processes that scale on demand and deliver results in seconds rather than days.

The event's thesis was direct. The gap between where most enterprises operate today and where they need to be is not a technology gap. It is an operations gap. Closing it requires more than adding AI to existing workflows. It requires rethinking how work gets done, so that specialized AI agents handle end-to-end execution while humans focus on governance, exceptions, and strategic decisions.

Understanding Autonomous Operations and the Path to "Zero to Autonomy"

The event opened by drawing a clear line between two approaches. The first, common across the industry, layers AI-driven capabilities onto existing robotic process automation frameworks. This can produce incremental gains, but the process remains fundamentally manual. Humans still reconcile outputs, chase exceptions, and stitch together fragmented systems. The second approach, which Otera calls native agentic automation, is purpose-built for end-to-end autonomy. The platform's components work in concert so that complex knowledge work (claims processing, purchase-to-pay cycles, customer onboarding) can run with minimal human involvement.

"Zero to Autonomy" describes this trajectory. Many organizations start at zero, where employees shoulder the burden of repetitive, high-volume workflows. The destination is an operating model where agents handle the majority of execution autonomously, and human expertise is reserved for judgment that genuinely requires it. Reaching that destination depends on the right combination of no-code automation tooling, domain-specific templates, confidence scoring, and human oversight at critical decision points.

The Business Case for Autonomous Operations

Attendees heard business cases that illustrated what this shift looks like at scale. One scenario walked through a process handling one million cases per year. Under the traditional model, each case required roughly ten minutes of manual work, tying up approximately 100 full-time employees. Under an autonomous operating model, the same volume was processed in seconds per case, with human review only on flagged exceptions.

The difference is not marginal improvement. It is a fundamentally different allocation of organizational capacity. When the routine work runs autonomously, those 100 people can be redeployed to higher-value activities. Response times collapse. Customer experience improves. And the operation can absorb demand spikes without scrambling to hire.

New Platform Capabilities Across the Automation Lifecycle

The event introduced several platform enhancements designed to move organizations from initial deployment to sustained autonomy. Each addresses a distinct stage in the lifecycle of an autonomous process.

1. Pre-Built Business App Templates.

Over 100 templates tailored to common processes across insurance, banking, and government. Organizations reach production faster because they are configuring proven patterns rather than building from scratch.

2. Skill Versioning.

Teams can manage multiple iterations of their AI models, test new instructions against real data, and compare performance across versions before deploying to production.

3. Performance Metrics and Ground Truth Testing.

Before going live, organizations validate their models by comparing predictions against known outcomes. This ensures the autonomous process meets operational standards from day one.

4. Confidence Scores.

Proprietary confidence scoring at the individual data-point level lets teams set precise thresholds for when human review is required. Instead of reviewing entire files, reviewers focus only on the elements that need judgment. This is particularly valuable in regulated sectors where compliance standards are non-negotiable.

5. Human-in-the-Loop (Control Hub).

A single dashboard provides oversight across the entire process, from document review to payment calculations to customer responses. Human intervention happens when it matters, without disrupting the autonomous pipeline.

6. Active Learning and Auto-Instruction Optimization.

Deployed processes continue to improve. Active learning techniques refine agent instructions based on real-world data, so the system becomes more accurate and more attuned to each organization's specific patterns over time.

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Autonomous Operations in Production. Real-World Results

The most substantive part of the event came from customers already running autonomous operations. Two stories stood out.

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CED Group (Insurance Services)

CED Group manages claims and expert assessments in the insurance industry. The nature of their work means demand is inherently unpredictable. Climate events, storms, and natural disasters create massive surges followed by quiet periods.

Emmanuelle Berthier, Group Chief Information Officer at CED, described the core problem.

"The biggest challenge in this activity is managing fluctuating workloads. We handle claims and expert assessments, and when severe weather events occur, like storms, we see a surge in incoming tasks. Our operations aren't stable; we have intense peaks followed by slow periods. This volatility makes it very complex to manage our operations effectively, since people don't naturally work under such irregular conditions."

After deploying autonomous operations with Otera, the vast majority of CED's previously manual tasks now run without human intervention. The operational impact has been significant. The bulk of CED's team has shifted from repetitive processing to customer-facing, higher-value responsibilities. Berthier noted that the solution had to integrate with CED's legacy back-office systems without requiring infrastructure changes or dedicated IT maintenance.

Looking ahead, CED plans to extend autonomy further. As Berthier shared, the next step is auto-generating dossiers and draft purchase invoices, so that human involvement is limited to a quick review and final approval.

e& (Telecommunications)

e& is a leading telecommunications company. Their engagement with Otera began with enterprise customer onboarding, a process previously slowed by manual intervention, system fragmentation, and SLAs that stretched to 48 hours.

AbdulRahman AlMarzooqi, Sr. Manager of AI Cognitive Solutions at e&, emphasized that speed to production and accuracy were the two non-negotiable criteria.

"With Otera, we achieved excellent results. It took only a few weeks to complete the entire end-to-end development and integration with our existing systems via APIs. We successfully implemented a fully automated onboarding solution across multiple channels."

The result was a step-change in how e& serves enterprise customers. Onboarding that once carried a 48-hour SLA now happens in near real-time, with no manual handoffs. The back-office team has been freed to focus on higher-complexity work, and the customer experience is seamless from first interaction to activation.

Based on these results, e& has developed a roadmap to extend autonomous operations across additional business domains, from HR to legal document processing, with plans to implement roughly ten new use cases in the coming year.

What Comes Next. From Attended Automation to Full Autonomy

The event concluded with a look at what lies ahead for autonomous operations. While many organizations begin with attended scenarios (where humans initiate and supervise), the trajectory points toward fully autonomous execution, where agents not only complete tasks independently but learn from outcomes and adapt to emerging complexity.

Attendees were introduced to the concept of dynamic multi-agent systems, where specialized agents (some focused on logic, some on decision-making, others on document processing) collaborate to achieve high-level objectives without extensively predefined workflows. Humans define the goals and governance parameters. The system self-organizes to meet them.

Closing Perspective

CED and e& represent two very different industries and two very different operational challenges. But they arrived at the same conclusion. The path forward is not faster manual processing or better task-level automation. It is an operating model where autonomous agents handle end-to-end execution while humans govern.

That is what "Zero to Autonomy" means in practice. Not a vision statement, but a measurable trajectory that enterprises are already traveling.

About Otera

Otera brings autonomy to the operations the world depends on. We transform mission-critical processes into governed autonomous AI systems that decide and act end-to-end, freeing enterprises to grow without limits. Trusted by Allianz, Siemens, Bayer, SAAB, and Hannover Re.

Learn more at otera.ai.