Agentic AI and hyperautomation are transforming business automation, building on decades of progress from manual processes to modern IT systems. In the earliest days, operations were carried out manually by teams in Sales, Stock, Manufacturing, Accounts, Quality Assurance, and Shipping. Every transaction was recorded by hand, every process depended on human effort, and departments worked in silos.
The arrival of IT systems brought change. Databases replaced paper files, Customer Relationship Management (CRM) tools improved customer records, finance applications streamlined accounting, and warehouse management systems supported logistics. These innovations boosted efficiency, but they also created a patchwork of applications that did not always connect well with each other. Over time, integration projects attempted to bridge these gaps, but organisations were left with complex estates that were expensive to maintain.
Today, businesses are entering a new phase. The rise of agentic AI and hyperautomation is reshaping how organisations approach technology, moving beyond fragmented applications towards connected, intelligent systems that can manage processes from end to end.
The Rise of Hyperautomation
Hyperautomation represents the next stage in digital operations. It extends beyond tools such as Intelligent Document Processing (IDP), Robotic Process Automation (RPA), and Conversational AI (CAI). At its core is orchestration, where multiple systems are coordinated by intelligent engines. Agentic AI provides the reasoning and decision-making capability that makes this orchestration possible.
Unlike traditional automation, which focuses on improving individual tasks, hyperautomation seeks to automate entire processes from start to finish. This approach reduces reliance on manual intervention and outdated software while enabling AI-driven decision-making. Instead of requiring staff to monitor each step, agentic AI can ensure workflows progress smoothly across systems and departments.
Agentic AI: Redefining Process Management
Agentic AI and hyperautomation are transforming business automation, building on decades of progress from manual processes to modern IT systems.Agentic AI is more than an incremental improvement. It is a step change in how processes are designed and executed. Solutions such as those from askelie place reasoning, learning, and decision-making directly into the automation layer. Rather than relying on multiple applications to contain their own logic, agentic AI engines take responsibility for coordinating tasks and applying rules.
This shift changes the role of traditional business software. Applications such as CRMs or finance systems increasingly act as data repositories, while the logic and workflow management are lifted out and managed by AI.
By using agentic AI and hyperautomation together, organisations can:
- Reduce dependency on multiple software platforms
- Improve decision-making with intelligent AI reasoning
- Automate complex workflows end-to-end
- Scale operations efficiently without adding new layers of technology
For example, in procurement an agentic AI system can evaluate supplier bids, check compliance rules, and route approvals automatically. In finance, it can validate expenses, enforce thresholds, and highlight exceptions. In HR, it can run onboarding from offer to induction, pulling data from different systems while ensuring compliance checks are complete.
The Future: Autonomous Applications
Looking ahead, autonomous applications are expected to become the new normal. These are essentially agentic agents that can manage entire transactions independently without needing to pass through other systems. They will access only the data required to complete a process and then execute it seamlessly.
This future does not depend on CRMs, graphical interfaces, or predefined workflows. Instead, agentic AI and hyperautomation combine to create self-sufficient applications capable of handling tasks from start to finish.
Autonomous applications will:
- Replace traditional business software by running workflows directly
- Cut costs by reducing the need for multiple SaaS licences
- Provide real-time decision-making and execution without human intervention
This marks a significant shift. Companies will no longer have to depend on dozens of overlapping systems. Instead, intelligent agents will handle the work, leaving data systems to provide storage and access.
The Disruption of Legacy SaaS Providers
The rise of agentic AI and hyperautomation poses a challenge for existing SaaS providers. Their business models have long depended on subscription access to applications. As process logic and decision-making are absorbed by agentic AI, the role of SaaS platforms may shrink.
Some vendors may adapt by integrating with platforms like askelie™. Others may resist by introducing extra charges for AI access or by building their own agentic features to stay relevant. Either way, the competitive landscape is shifting. Enterprises are looking for flexible, intelligent automation, and those providers that fail to adapt may see their relevance decline.
Final Thoughts
The evolution of business automation is reaching a turning point. Agentic AI and hyperautomation are no longer experimental ideas; they are already being adopted by forward-thinking organisations. The benefits are clear: reduced inefficiency, lower costs, and the ability to scale in ways that were once impossible.
For businesses, the choice is simple. Embrace these technologies now and secure a competitive edge, or cling to outdated systems and risk falling behind.
The question is not whether agentic AI and hyperautomation will change business operations. The only question is how quickly organisations can adapt to this inevitable transformation.
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