HYPERAUTOMATION
OUR CHALLENGE
Business Agility and Resilience
Value for People.
Hyperautomation is an automation process that a company undertakes to make its production processes more efficient, creating the conditions for constructive cooperation between its people and cutting-edge technologies. The value of automating end-to-end processes makes it possible to manage high volumes of transactions, which often require the cooperation of different company areas. By adopting a process logic, the silo mentality is overcome, allowing an adequate information and transaction flow through the company.
We digitise and accelerate the transformation of business processes through an incremental automation path with reduced business impact.
We are evangelists of the start small, think big concept: starting from time-intensive and repetitive activities, we help progressively automate business processes, supporting you to achieve agility, efficiency and scalability goals, preserving your company’s features and primary asset – people.
ROBOTIC PROCESS AUTOMATION
Software robots make it possible to replicate exactly the activities that people perform using a computer, much faster, without errors and with extreme ease of integration with the existing technological infrastructure.
The development of a digital workforce allows for better scalability in handling high and sudden transaction volumes; it can be orchestrated as needed in an unsupervised manner, or actively interact with people, becoming a true colleague.
ROBOTIC TEST AUTOMATION
Software that simulates human actions normally performed by manual testers, carrying out operations decided by quality assurance. This verifies, constantly or on demand, that specific technical and functional requirements of an application are met.
By entrusting testing to a robotic ecosystem, it is possible to explore a broader spectrum of solutions, extending coverage and ensuring that any releases have not compromised pre-existing business logics.
IBPMS
Manage many complex business processes in a centralised and coordinated way without compromising control and decision-making discretion.
Intelligent Business Process Management Software (iBPMs) contains tools that involve several corporate information resources, exploiting automatisms and business logics, directing the process towards its development, guaranteeing user control through monitoring and direct intervention, respecting specific resolution SLAs.
AI POWERED DECISION MAKING
We empower automation, giving it decision-making discretion through reasoning system algorithms by closing the automation loop.
By creating an ad hoc ecosystem, the automation collects the data needed to train the decision-making model to complete the automation path of complex processes that require the intervention of people for authorisation or devices.
The disintermediation of people in non-critical decisions makes it possible to prevent potential bottlenecks and standardises the decision-making process according to mathematical-statistical logic.
PROCESS DISCOVERY
As the complexity of a company grows, it becomes difficult to identify and address process inefficiencies. It is common to come across production slowdown scenarios without knowing the causes.
Process Discovery is a set of techniques and technologies aimed at shedding light on what is really going on in a company, producing insights and identifying inefficiencies through Artificial Intelligence algorithms.
DOCUMENT UNDERSTANDING
Using artificial intelligence for automated document understanding facilitates the extraction and management of key information, reducing the need for manual intervention and increasing the number of processes that can be automated.
AI is used to extract and process data from both structured and unstructured documents, including invoices, receipts, and contracts. It integrates OCR, Machine Learning and pre-trained models to recognise and interpret text, images and tables, thereby automating the extraction of crucial information and reducing manual intervention. This improves the accuracy and efficiency of document management and increases the level of digitisation of business processes automation, taking the concept of hyperautomation one step further.
COOMUNICATION MINING
Analyse and interpret large volumes of text-based communications, such as emails, chats and messages, to identify patterns, extract relevant information and automate responses or business processes.
AI enhances hyperautomation, transforming unstructured data from a variety of sources into practical actions.
Analysing communication patterns using advanced algorithms provides a better understanding of organisational dynamics and improves the quality of interactions within them.
AGENTIC AUTOMATION
Hyperautomation embraces Agentic Automation. This represents the evolution of traditional RPA into AI Automation. The platform becomes an orchestrated ecosystem in which AI Agents and robots collaborate to automate complex tasks and reduce manual input
- Agents think: autonomous Agents understand natural language, process the business context and make real-time decisions.
- Robot do: deterministic robots perform operational actions on systems.
- People lead: people remain at the centre of this collaborative system.
The orchestrator dynamically assigns tasks to the most suitable entity, ensuring governance, security, and traceability throughout the entire workflow lifecycle.
The agentic approach offers twofold advantages: scalability and speed when dealing with complex and variable processes, thanks to agents that learn and adapt; reliability and compliance, thanks to guardrails that define responsibility and incremental supervision. Companies can therefore transition from rigid automation to intelligent automation solutions, combining analysis, reasoning and executive capabilities to derive greater value from data and enhance the experience of internal and external users.
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