Introduction:

Enterprises are evolving rapidly from isolated task-level automation to organization-wide hyperautomation. The automation narrative has shifted, it’s no longer just about deploying bots to handle repetitive tasks. Instead, enterprises are moving towards orchestrated digital workflows that integrate AI, machine learning, RPA, and advanced process orchestration tools to drive true end-to-end transformation. Mphasis stands at the forefront of this shift, helping businesses unlock the full potential of hyperautomation and build future-ready enterprises that are agile, efficient, and scalable.

Enterprise Challenges

While the promise of hyperautomation is compelling, many enterprises face significant challenges in scaling automation beyond isolated pilots. The most common hurdles include:

● Fragmented Legacy Systems: Most organizations run on a complex web of legacy applications that don't easily communicate with each other, creating silos of information and manual integration points.

● Manual, Repetitive Processes Slowing Innovation: From data entry to multi-level approvals, many business processes are still heavily reliant on human intervention, which not only slows down operations but also increases the likelihood of errors.

● Inability to Scale RPA Initiatives Beyond Pilots: Many companies struggle to move beyond proof-of-concept projects due to the complexity of end-to-end process integration, governance challenges, and the lack of a unified orchestration layer.

Mphasis’s Approach

Mphasis takes a holistic approach to hyperautomation that transcends traditional automation models. Instead of focusing on task automation alone, Mphasis enables enterprises to automate full business workflows by combining multiple intelligent technologies:

● AI, RPA, ML, NLP, and Process Mining: By blending advanced technologies, Mphasis allows organizations to automate both structured and unstructured processes, enabling intelligent decision-making and predictive analytics.

● Platform-Agnostic Orchestration: Mphasis leverages iBPMS (Intelligent Business Process Management Systems) such as Pega, Camunda, and Appian to seamlessly orchestrate workflows across various existing platforms and applications.

● End-to-End Automation Journeys: From discovery to delivery, Mphasis enables cohesive automation journeys, ensuring that every stage of the business process is optimized for speed, accuracy, and scalability.

Case Study: Hyperautomating the Procure-to-Pay Process for a Global Manufacturing Client

A leading manufacturing enterprise faced multiple challenges in their Procure-to-Pay (P2P) process. The entire procurement lifecycle, from purchase requests to vendor payments, was plagued by manual paperwork, delayed approvals, fragmented systems, and high operational inefficiencies.

Key Challenges:

● Longer procurement cycles due to multi-level manual approvals.

● Inconsistent governance and compliance across departments.

● Data fragmentation, with each department managing independent datasets.

● Delayed vendor payments, leading to missed early payment discounts.

● Difficulty in tracking performance across departments.

● Heavy reliance on manual paperwork at various stages.

Mphasis Solution:

Mphasis implemented a hyperautomation solution that combined RPA, iBPMS, AI, and microservices integration:

● RPA Bots: Automated repetitive tasks such as reading supplier emails, extracting data from invoices, performing data entry across multiple systems, and even handling multi-party email exchanges.

● iBPMS Orchestration: Intelligent Business Process Management Systems (like Pega, Camunda, and Appian) were deployed to orchestrate end-to-end workflows, ensuring seamless integration across procurement, finance, vendor management, and inventory systems.

● AI/ML Integration: AI models were used for pattern-based decision-making such as assigning GL codes to non-PO invoices, reconciling payments, and detecting anomalies based on historical data.

● OCR & Document Processing: Optical Character Recognition (OCR) was used to digitize incoming paper invoices, eliminating the need for manual data entry.

● Real-Time Monitoring: The iBPMS layer provided operational visibility, triggering early alerts for potential delays and ensuring SLA adherence across processes.

Outcomes Achieved:

● 35% Reduction in Operational Costs: Hyperautomation eliminated redundant tasks and optimized resource utilization across procurement, finance, and operations.

● 60% Improvement in Process Speed: The end-to-end automation drastically reduced cycle times, enabling faster procurement decisions, order fulfillment, and payments.

● Reduction in Manual Errors: Digital workflows minimized human intervention, leading to higher accuracy and fewer reworks.

● Improved Cash Flow Management: Faster payment cycles enabled the organization to capitalize on early payment discounts, further boosting savings.

● Operational Visibility: Real-time dashboards and reports allowed leadership to monitor process performance, track bottlenecks, and make informed decisions proactively.

By hyperautomating their P2P process, the client not only modernized a critical business function but also created a scalable, future-proof framework that could easily be extended to other processes across the organization.

Outcomes

Mphasis’s hyperautomation model delivers transformative business outcomes:

● Seamless End-to-End Workflow Automation: By orchestrating processes across multiple systems, departments, and stakeholders, Mphasis creates unified automation journeys that span the entire enterprise.

● Reduction in Manual Errors: Automated data capture, validation, and processing reduce errors and the need for rework, improving data quality and compliance.

● Improved Time-to-Value: Faster process execution directly accelerates business outcomes, whether it's faster procurement, quicker payments, or more responsive customer service.

● Scalability and Flexibility: The platform-agnostic design allows enterprises to scale automation efforts across geographies, business units, and industries with minimal disruption.

Summary

What is hyperautomation?

Hyperautomation is an advanced automation approach that combines RPA, AI, ML, NLP, and intelligent process orchestration to automate complex business workflows across the enterprise, not just isolated tasks.

How does Mphasis help enterprises scale automation?

Mphasis enables scalable hyperautomation through platform-agnostic integration, intelligent orchestration using iBPMS tools, AI-powered decision-making, and automation Centers of Excellence (CoEs) that guide enterprises from pilot to full-scale deployment.