Why Hyperautomation is a Growing Trend 

Hyperautomation, a combination of Robotic Process Automation (RPA), artificial intelligence (AI), machine learning and integrated workflow tools, has emerged as a powerful solution to this challenge.

By automating complex, end-to-end business processes, companies are not only reducing operational costs but also unlocking significant returns on investment (ROI).  The results are compelling: companies report cost reductions of 10% to 50% and ROI ranging from 30% to 200% within the first year.

These gains make hyperautomation not just a trend, but a strategic investment in long-term value creation. 

The Automation Journey: From Idea to Impact 

Hyperautomation begins with identifying a process bottleneck, like slow invoice handling, and evolves into measurable business value. Success depends on collaboration between business owners, IT, and automation teams, often coordinated by a Center of Excellence (CoE). 

The journey includes four key stages: 

• Process Discovery & Mapping: This involves identifying and mapping candidate processes, using techniques like process mining, or workshops, to document workflows and pinpoint inefficiencies. The outcome is a clear understanding of what to automate and its potential ROI. 

• Qualification & Prioritisation: Processes are evaluated based on criteria such as volume, manual effort, error rates, strategic importance, and strong ROI potential. 

• Solution Design & Implementation: The automation solution is designed and built using appropriate technologies like RPA for tasks and AI for decision-making. The solution must align with IT governance and security. 

• ROI Validation & Scaling: After deployment, results are measured against a baseline, validating ROI through metrics like time saved and cost reduced. Successful automations are then scaled up, potentially involving change management and continuous improvement. 

Real-World Use Cases with Measurable ROI 

The following five real-world use cases, delivered by Accesa, demonstrate the rising momentum behind hyperautomation, each showcasing the core challenge addressed, the automation solution deployed, and the measurable ROI achieved. Automating Supplier Invoice Processing (Internal) 

• Challenge: Manual registration of supplier invoices was slow (~10 minutes per line item) and prone to human error, even for modest volumes (2-4 invoices/month, ~100-line items each). 

• Solution: An RPA robot was configured to extract data from email attachments (Excel and PDF) and automatically enter it into the ERP system. The bot includes business rule checks and exception handling. 

• Outcomes and ROI: This eliminated nearly all manual effort, improved data accuracy, and sped up invoice postings. It demonstrated that even low-frequency processes can yield ROI through error reduction and by freeing staff from tedious tasks. 

Automating Employee Access Card Management (Internal) 

• Challenge: Manually activating/deactivating employee access cards were labor-intensive, with ~7,000 events per month, each taking about 2 minutes, totaling ~233 hours of work monthly. 

• Solution: An RPA solution combined with ServiceNow integration was implemented. A scheduled robot now processes card activation/cancellation requests in bulk every 30 minutes, accessing the internal system via remote desktop. 

• Outcomes and ROI: The automation saved ~1–1.5 FTEs (over 230 hours per month), allowing IT staff to focus on more complex tasks. It improved service quality by ensuring just-in-time activation and deactivation, enhancing security compliance, and providing 24/7 operation. 

Automating the Credit Assessment Process (External) 

• Challenge: The manual credit assessment process involves gathering data from multiple sources, manual calculations, and report compilation, leading to lengthy processing times, human error, and traceability issues. 

• Solution: An RPA-powered pipeline automated eight key steps: data submission, extraction, aggregation, calculation, validation, external checks, customer detail updates, and outcome reporting. Built-in checks and automated logging ensure traceability. 

• Outcomes and ROI: The client achieved significant efficiency, processing assessments much faster and handling more applications without additional staff. It virtually eliminated human error, improved accuracy, and ensured higher compliance with a digital audit trail. Substantial operational cost savings were realised by reducing manual labor and avoiding costly mistakes. 

Enterprise-wide RPA Program for Retail Operations (External) 

• Challenge: A global retail chain faces numerous high-volume, repetitive tasks across departments, consuming employee time and prone to errors. 

• Solution: An RPA Center of Excellence (CoE) was established, implementing robots for diverse use cases such as personal data deletion, lab results data entry, document processing, and automated report generation. The program also involved training client staff for sustained automation. 

• Outcomes and ROI: Automated processes save approximately 5,500 work hours annually, equivalent to over 2.5 full-time employees, redirecting labor to more strategic tasks. Direct cost savings were achieved by reducing software license costs. Processes now run in minutes instead of hours or days, improving overall agility, quality, and compliance. The established frameworks enable quick scaling of new processes and enhance operational resilience. 

ServiceNow-Driven Business Process Automation for a Financial Client (External) 

• Challenge: The client had siloed systems, leading to integration challenges, inefficient workflows, lack of transparency, high operational costs, and slow response times due to many manual steps. 

• Solution: ServiceNow was implemented as a unified platform for ITSM, IT Operations, and various business workflows (HR, procurement, finance). Key elements included ITSM automation, employee self-service portal, customer service management, and custom business workflows, all integrated with third-party applications. 

• Outcomes and ROI: A measured 20% reduction in manual effort was achieved across targeted processes, significantly improving efficiency. Service delivery improved, with processes completed in hours or minutes instead of days. Cost savings resulted from reduced manual work, consolidated tools, and lower training costs. Enhanced transparency, accountability, quality, and compliance were also observed due to centralised tracking and automated controls. 

Conclusion: Hyperautomation as a High-Yield Investment 

These five use cases demonstrate that hyperautomation is not just about cutting costs, it’s about creating value. From labor savings and error reduction to improved compliance and scalability, the benefits are both quantitative and qualitative. 

Organisations that start small, targeting high-impact, repetitive tasks, can quickly realise ROI and build momentum for broader adoption. As these examples show, hyperautomation enables businesses to operate more efficiently, respond faster to change, and empower employees to focus on strategic work.