Intelligent Orchestration for the Modern Enterprise

Automation has delivered efficiency, but it hasn’t delivered adaptability. As markets shift, and operations become more complex, traditional workflows designed to follow static rules are struggling to keep up. Enterprises now face a new mandate: to build systems that think, adjust, and coordinate intelligently across functions. This is where agentic orchestration begins to redefine what automation means for the modern enterprise.

From Rigid Workflows to Adaptive Systems

Automated workflows are effective when inputs are consistent and outcomes are predictable. But in real-world conditions, very few processes follow a linear path. Business environments are shaped by market volatility, changing customer expectations, and evolving regulations. In such settings, fixed automation logic becomes more of a limitation than an asset.

HCL UnO solves this by introducing agentic orchestration—an approach where intelligent agents act autonomously while staying aligned with overall objectives. These agents respond to real-time data, collaborate across systems, and escalate exceptions based on context. Instead of executing static workflows, they support continuous adaptation.

This shift includes flexibility, as well as increased reliability. When automation becomes context-aware and self-adjusting, it’s better suited to meet the demands of a modern enterprise.

Making Complexity Manageable

Enterprise technology environments are no longer linear. They span cloud services, legacy infrastructure, APIs, and an expanding layer of AI systems. Traditional orchestration quickly becomes a bottleneck. What’s needed is a model built to navigate complexity as a constant, not as an exception.

HCL UnO Agentic offers this capability, workflows operate across fragmented systems with AI agents to interpret context, make real-time decisions, and adapt execution paths based on live inputs. Agentic orchestration allows diverse systems to function in sync, governed by enterprise-wide logic, policies, and escalation frameworks — all orchestrated through UnO Agentic.

The outcome: a more resilient enterprise able to absorb change without disruption.

Making Automation More Accessible

One of the key advantages of HCL UnO Agentic is how it broadens who can drive innovation. With low and no code tools and intuitive visual interfaces, your users will be able to create, manage, and evolve automation and AI agents without relying on technical teams.

Natural language inputs make innovation even more approachable, allowing teams closest to the work to translate intent into execution. This speeds up delivery, improves responsiveness, and ensures automation reflects real business needs.

At the same time, UnO Agentic ensures all activity remains within enterprise governance frameworks. The balance between accessibility and control is what enables agility without compromise.

Governance Without Friction

As autonomy increases, so does the need for oversight. HCL UnO Agentic includes deep observability across workflows and agent activities. Every decision made within the system can be tracked, audited, and reviewed.

This level of transparency builds trust, particularly in regulated industries and processes directly affecting customers. Whether actions are driven by rules or AI agents, UnO ensures automation doesn’t become a black box. Instead, it’s a system of record where every action is traceable and accountable.

With governance built into the orchestration layer, you as a leader can embrace greater autonomy without sacrificing control. Allow automation to scale confidently and responsibly.

Outcomes That Matter

Enterprises using HCL UnO Agentic are seeing tangible results. With AI agents coordinating workflows and decisions in real time, processing speeds have increased by up to 60%, and manual errors have dropped by more than 70%. The platform has also maintained continuity during outages and infrastructure disruptions.

This broader shift toward intelligent orchestration is gaining recognition. Acquisition International, a respected global business publication, has highlighted UnO as a benchmark in enterprise automation. We have also been named a Leader in 2024 Gartner® Magic Quadrant™ for Service Orchestration and Automation Platforms.

These outcomes reflect more than operational improvement. They signal how automation is evolving into a core driver of competitive performance.

Rebuilding the Enterprise Operating Model

As automation evolves, so too must the enterprise operating model. Processes are no longer designed to run in isolation. Systems are being built with the abilities to learn, adapt, and respond across functions.

With agentic orchestration at its core, HCL UnO Agentic embeds AI agents into day-to-day enterprise operations, allowing work to be coordinated, escalated, and optimized in real time. The result is a model not only faster and more efficient, but also more flexible, explainable, and aligned with strategic intent.

There’s a notable shift from automation as a task enabler to orchestration as an enterprise capability. Intelligence is integrated into execution and supports agility, accountability, and long term resilience.

Redefining the Role of Leadership

For business and technology leaders, this shift is as much about mindset as it is about capability. Leading in an agentic enterprise means designing systems able to evolve and view AI agents as drivers of execution and enablers of business outcomes.

It also means asking new questions: Can we trust autonomous decisions at scale? Are our operating models built to adapt? Are we equipped with the visibility required to lead at scale?

These aren’t technical decisions. They’re leadership ones, and they’ll define how transformation delivers long-term value.

To see how HCL UnO Agentic supports this journey, schedule a demo today!

*GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally, and MAGIC QUADRANT is a registered trademark of Gartner, Inc. and/or its affiliates and are used herein with permission. All rights reserved. Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

Gartner, Magic Quadrant for Service Orchestration and Automation Platforms, Hassan Ennaciri, Chris Saunderson, Daniel Betts, Cameron Haight, 11 September 2024