The global corporate environment has been transforming at an accelerated pace, driven by a combination of economic and technological factors. In recent years, companies have faced increasing pressure to optimize costs and increase productivity, making the pursuit of operational efficiency a mandatory requirement.

In this context of reduced margins and rising costs, process automation has shifted from being a competitive advantage to becoming a necessity for survival. It is within this scenario that Hyperautomation emerges, a concept that goes beyond the simple automation of isolated tasks, proposing a systematic and orchestrated approach to end-to-end process transformation.

The Urgency Scenario: Why Traditional Automation Is No Longer Sufficient

The urgency for Hyperautomation is driven by structural challenges that traditional automation, based on isolated tools such as Robotic Process Automation (RPA), cannot fully resolve.

1. Process Complexity and Fragmentation: With the proliferation of systems and the fragmentation of operations, critical processes have become sources of rework, bottlenecks, and inconsistency. The lack of end-to-end visibility prevents organizations from identifying and correcting the true causes of inefficiency.
2. The Critical IT Backlog: The Information Technology (IT) department is often unable to meet the full demand for automation and business integration. This massive backlog forces business areas to resort to improvised solutions, such as spreadsheets and parallel controls, creating a vicious cycle of inefficiency and hindering structural evolution.
3. Slow and Costly Integrations: Legacy systems, limited APIs, and heterogeneous environments make structural integrations slow and expensive, stalling modernization projects and preventing the agility required in today’s market.
4. The Pressure of Artificial Intelligence (AI) and GenAI: Executives seek concrete results with Generative Artificial Intelligence (GenAI), such as the implementation of internal copilots and applied models. However, the lack of a solid technical foundation and well-structured processes prevents these initiatives from scaling, resulting in Proofs of Concept (PoCs) that never become production realities.

Hyperautomation in Practice: The Systematic Blend of Technologies

Hyperautomation is defined as the adoption of optimized, highly automated, and orchestrated processes, aimed at maximizing human potential through the use of data-driven technologies, with minimal intervention in enterprise applications [2]. Its essence lies in the systematic blend of multiple technological disciplines, applied to Business Process Redesign (BPR), ensuring that processes are “designed for automation” (by design) from the outset.

This integrated approach is composed of five technological pillars, which work together to create intelligent and adaptable automation solutions:

Beyond Simple Automation: Strategic Benefits

Hyperautomation delivers gains that go far beyond simple cost reduction, positioning itself as a driver of strategic transformation.

1. Enable New Business Models

Hyperautomation establishes a smarter and more flexible operational foundation, enabling the rethinking of journeys, services, and offerings. The combination of automation, AI, and orchestration creates conditions for scalable and responsive models, reducing manual dependencies and expanding the ability to adapt to the market.

2. Outperform the Competition

Continuous process analysis, combined with end-to-end automation, accelerates decision-making cycles and reduces structural inefficiencies. The result is a faster, more accurate, and more resilient operation, creating sustainable competitive advantage in highly dynamic environments.

3. Increase Return on Investment

Impact-oriented execution ensures measurable returns from the first implemented use cases. The redesign of flows, based on real data and the elimination of rework, produces tangible gains in productivity, quality, and cost reduction, accelerating ROI.

4. Enhance Operational Efficiency and Effectiveness

The integrated use of Process Mining, BPM, and AI removes bottlenecks, corrects variations, and standardizes execution. This strengthens the operation as a whole, increasing structural efficiency and allowing the company to scale without proportionally increasing costs.

5. Increase Business Agility

Intelligent orchestration creates an operation capable of responding quickly to strategic, regulatory, or market changes. With configurable processes and adaptable technologies, the organization operates more fluidly and is prepared for continuous evolution.

6. Empower and Develop Teams

By taking over repetitive and operational tasks, Hyperautomation frees human potential for analytical, strategic, and creative activities. This accelerates team upskilling and strengthens a data-driven culture, expanding people’s impact on critical processes.

7. Integrate Data, Systems, and Processes

Hyperautomation unifies applications, information, and flows into a single and coherent architecture. This integration reduces silos, eliminates inconsistencies, and provides end-to-end visibility, creating the necessary foundation for faster, safer, and more structured decision-making.

8. Maximum Human Enablement

By automating repetitive, rules-based tasks, Hyperautomation enables maximum employee empowerment (Maximum Human Enablement) in the parts of the process that require judgment, creativity, and human interaction. This results in more efficient teams, fewer errors, and greater capacity to deliver value.

9. The Digital Twin of the Organization (DTO)

One of the most strategic outcomes of Hyperautomation is the creation of the Digital Twin of the Organization (DTO). The DTO is a real-time virtual representation of business processes, providing continuous intelligence about the organization. It enables what-if analyses across different process scenarios, allowing leadership to assess the impact of changes before implementing them, optimizing decision-making.

Hyperautomation in Action: Use Case and Applied GenAI

The practical application of Hyperautomation demonstrates its power in solving complex problems involving unstructured data and multiple steps.

Example: GenAI-Assisted Test Validation

A clear example of the integration of GenAI in Hyperautomation is the evolution of test documentation tools. A Proof of Concept (PoC) demonstrated the ability to cross-reference a system test script (what should happen) with the execution recording (what actually happened). The solution uses a multi-agent AI pipeline to analyze the video, extract detailed information, and generate a compliance matrix, including visual evidence and time stamps.

The proposed evolution of this case increases accuracy from approximately 75% to over 95% through cross-validation (cross-check). Hyperautomation is achieved by integrating video analysis (human action) with CI/CD pipeline logs and status (system integration) and the expected criteria of the test scenario (BPM), ensuring completeness and traceability of the validation process.

The Journey to Hyperautomation: Starting with Impact

The implementation of Hyperautomation does not need to be a long and complex project. On the contrary, the implementation methodology should be impact-oriented and allow for “quick wins.” The journey can be structured into three paths, depending on the organization’s maturity and objectives:

Regardless of the chosen path, Process Mining is the ideal starting point. By revealing the AS IS process (as it truly is), it provides the data foundation and clarity necessary to prioritize cases with the highest impact and feasibility, avoiding the waste of resources on automations that do not solve the core problem.

Hyperautomation Accelerator Program: Transforming Urgency into Value

In light of the urgency scenario and the need for “quick wins,” BIP developed the Hyperautomation Accelerator Program, a strategic initiative designed to transform the intention to automate into concrete and scalable results within a short period of time.

The program, in partnership with MAKE, provides a robust low-code platform for automations and copilots. This collaboration establishes a clear value dynamic:

The central objective of the Accelerator Program is to reduce technical and political barriers and bring real automation into production in weeks, not months. It focuses on solving one real pain point at a time, delivering a functional automation (not a prototype) for a critical process, with real gains in time, quality, and productivity.

This approach ensures that the client receives, within weeks, integrated flows running in production, end-to-end visibility, measurable reduction of rework, and, crucially, a clear, standardized, and governed structure to expand automations and prepare the technical foundation for applied GenAI within an evolution roadmap.

Conclusion

Hyperautomation is the strategic response to market pressures that demand greater efficiency and agility. It represents the evolution of automation, transforming isolated interventions into an intelligent and orchestrated system. By combining technologies such as Process Mining, RPA, BPM, and GenAI, Hyperautomation not only addresses the IT backlog and process complexity but also empowers human capital and creates the Digital Twin of the Organization, providing the technical foundation necessary for AI initiatives to scale.

For executives seeking tangible deliveries within weeks and a structured agenda for 2026, Hyperautomation offers a real opportunity to solve specific pain points with immediate impact, paving the way for a secure and scalable digital transformation.

The future of operational efficiency is intelligent and orchestrated automation.

Contact our specialists.