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AppliedAI’s Opus: Now Every Business Can Use Enterprise-Grade Agentic BPX

▼ Summary

– AppliedAI has launched Opus, the first ABPX platform that unifies the business process lifecycle and extends it with a marketplace for workflows, agents, and experts.
– Opus is designed for regulated industries, combining generative AI speed with human supervision, Zero Trust security, and embedded compliance controls for mission-critical workflows.
– The platform addresses the GenAI divide by moving enterprises from failed pilots to production with workflows that learn, built-in compliance, and proven integration across 1.3 million processes.
– Early adopters report significant benefits, including up to 20x productivity gains, 80% cost savings, and 80% faster cycle times compared to legacy automation tools.
– Opus is now globally available as a self-serve platform, making enterprise-grade agentic automation accessible to businesses of all sizes, from single operators to large institutions.

AppliedAI has officially launched Opus, its flagship platform for Agentic Business Process X (ABPX), making enterprise-grade agentic automation accessible to businesses of all sizes. This platform represents a new category that brings together the entire business process lifecycle, from reengineering and management to outsourcing, automation, analytics, and execution, while adding a marketplace for workflows, agents, and experts. Central to ABPX is Agentic BPM (ABPM), which features self-evolving, human-supervised workflows designed with compliance as a priority.

Built specifically for regulated sectors, Opus merges the rapid capabilities of generative AI with human oversight, Zero Trust security, and embedded compliance controls. This allows companies to confidently transform their most critical workflows. Previously reserved for major global corporations investing millions in AI automation, Opus is now available as a self-service solution, putting powerful agentic automation within reach for everyone from solo operators to large institutions.

A recent MIT report highlights that 95% of generative AI pilot projects fail, creating a significant “GenAI Divide” between organizations merely experimenting and the select 5% achieving lasting value. Those successful few deploy systems that learn and adapt, integrate smoothly into daily operations, and deliver measurable business results. Opus was developed to bridge this gap, offering workflows that improve over time, built-in compliance, and integration tested across 1.3 million real-world processes. By delivering a clear return on investment, Opus helps businesses move beyond pilot phases into full-scale production.

Early users have documented remarkable improvements, including productivity increases of up to 20 times, cost reductions of 80%, cycle times accelerated by 80%, and accuracy improvements between 10% and 20% compared to older automation technologies.

Arya Bolurfrushan, CEO of AppliedAI, stated, “Initially, only the world’s top enterprises had access to Opus. Today, that changes for everyone. We focus on delivering outcomes, not generating hype. Opus stands as the first ABPX platform, integrating process redesign, governance, execution, analytics, and outsourcing into one cohesive agentic system. Its workflows evolve with each use, embedding compliance and human supervision to build lasting value. This isn’t just another tool, it’s the foundational system reshaping how enterprises operate in the AI-driven future.”

Opus has already been implemented in high-stakes industries where compliance is non-negotiable and mistakes carry heavy consequences. Documented results include energy procurement cycles shortened from four hours to just ten minutes, manufacturing vendor onboarding processes reduced from two weeks to five minutes, and medical coding for outpatient visits cut from three minutes to thirty seconds. Additional examples show pharmacovigilance reporting time dropping from fifteen minutes to one minute and claims adjustment cycles falling from ten minutes to one minute.

At Infineum, a joint venture between ExxonMobil and Shell, Opus modernized legacy systems. Dr. Ryan Welton, CoE & Compliance Manager, remarked, “Opus quickly overturned our assumptions and revealed a completely new approach to designing and managing our processes. I encourage anyone who thinks control processes must be human-led to see how Opus delivers faster, more cost-effective operations without sacrificing risk mitigation.”

As AI adoption becomes widespread, the primary challenge shifts from implementation to establishing trust and maintaining discipline. Opus addresses this by embedding oversight directly into the system. Every workflow remains transparent, auditable, and supervised at crucial points. Policy packs, approval mechanisms, audit logs, and Safety Cards ensure that oversight is a core feature, not an add-on.

Brian Feinstein, Partner at Bessemer Venture Partners, commented, “We are excited to partner with Arya and his team on our first investment in the UAE. AppliedAI is fulfilling AI’s potential by automating services and generating concrete business outcomes across numerous labor-intensive sectors.”

The Opus Cloud platform is available now. Developed in partnership with Palantir, McKinsey & Company, G42, and Metalab, it combines enterprise-level robustness with user-friendly design. For larger organizations with complex needs, Opus Enterprise provides enhanced governance, scalability, and dedicated support. Further information and demo requests can be made at www.opus.com.

AppliedAI, headquartered in Abu Dhabi with over 350 employees, describes itself as the world’s most boring AI company because it concentrates on delivering measurable enterprise results. It collaborates with Fortune 500 companies, governments, and global institutions to redesign, integrate, supervise, and evolve essential workflows using AI. The Opus platform sets the ABPX category standard, emphasizing compliance, human oversight, and scalable return on investment.

(Source: MEA Tech Watch)

Topics

agentic automation 95% business process 90% compliance controls 88% Generative AI 85% workflow integration 83% human supervision 82% productivity gains 80% enterprise scalability 79% regulated industries 78% roi measurement 77%