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1. Introduction
Automation has never been so strategic . Companies that previously viewed technology merely as operational support now see it as a competitive differentiator. Business processes are becoming increasingly intelligent, adaptable, and efficient , and traditional automation is no longer sufficient to keep pace with this evolution.
Within this scenario, new approaches have emerged within intelligent automation , one of the most advanced being agentic workflow . This model allows autonomous agents to make real-time decisions, learn from data, and dynamically adjust processes, making automation even more flexible and efficient .
The demand for solutions like this is only growing. According to research by Analytics Insight , by 2025, 80% of companies will have implemented some form of intelligent automation, while the artificial intelligence (AI) market is expected to expand by 37% annually until 2030. The message is clear: companies that do not adapt to this movement risk being left behind.
But what exactly is an agentic workflow ? How does it work, and why is it becoming essential for companies seeking greater efficiency and innovation ? In this article, we will answer these questions and show why this solution is the next major evolution in automation.
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2. What is an agentic workflow and how does it work?
Traditional automation follows fixed rules. If a task needs to be performed, a programmed system executes it according to a predefined workflow. But as businesses become more dynamic, rigid processes are no longer sufficient . What happens when a variable changes mid-way? Or when the scenario demands quick and adaptable decisions?
One of the answers to this challenge lies in agentic workflow , an advanced model within intelligent automation that goes beyond simply executing programmed tasks . It uses autonomous agents that make real-time decisions, learn from data, and adjust processes as needed.
Unlike conventional automation, where each step needs to be manually programmed, an agentic workflow learns from data and adjusts its flows dynamically, without depending on constant interventions . It not only executes tasks but also responds to changes, analyzes scenarios, and optimizes processes in real time.
The operation of an agentic workflow can be understood from three main aspects :
- Autonomy : the system can make decisions within certain parameters, without needing manual reconfiguration for each new scenario;
- Adaptability : instead of following a fixed path, it adjusts its flows based on environmental variables, ensuring that the process steps always follow the best possible route;
- Interconnectivity : integrates different systems, databases, and tools, allowing information to circulate efficiently.
While traditional automation executes commands linearly, agentic workflow is dynamic and intelligent . It allows processes to adapt to the context in real time, ensuring greater efficiency, speed, and reliability .
But how does this impact business operations? Before we delve into implementation details and practical examples, let's understand the direct benefits of intelligent automation and why it's transforming the way companies operate.
3. Benefits of intelligent automation
Intelligent automation isn't just about speeding up processes —it encompasses different approaches that optimize operations and make decision-making more strategic. Within this universe, agentic workflow stands out as a more dynamic and adaptable solution , allowing processes to automatically adjust to business demands.
Unlike traditional automation, which only executes tasks as programmed, agentic workflow goes further: it learns, adapts, and anticipates needs . This means that, in addition to reducing waste and eliminating bottlenecks, it allows processes to operate with greater flexibility and predictability.
Below, we explore two of the main benefits of intelligent automation.
3.1. Increased operational efficiency and reduced errors
Companies operate in a highly complex environment that demands quick results . Therefore, any inefficiency in internal processes directly impacts costs, productivity, and the quality of deliverables.
Intelligent automation solves this problem by replacing repetitive manual processes with optimized, autonomous, and integrated workflows. With fewer manual tasks, there are fewer human errors, less wasted time, and greater operational control .
See how this happens in everyday life:
- Faster and more scalable execution : repetitive tasks that previously consumed hours of the team's time are now completed in seconds, allowing operations to be scaled without increasing costs;
- Elimination of rework : Automated processes follow standards and ensure compliance, reducing inconsistencies and errors that previously needed to be corrected manually;
- Continuous monitoring : intelligent systems identify deviations, failures, and bottlenecks in real time, allowing adjustments before larger problems occur.
In practice, this means direct gains in productivity , reduced waste more efficient operating environment .
3.2. Improved decision-making with AI
Making quick and strategic decisions depends on one essential factor: reliable and well-analyzed data . But when processes are manual or disorganized, information becomes scattered, hindering access and compromising the quality of decisions.
Intelligent automation changes this scenario by transforming raw data into insights . With artificial intelligence (AI) and machine learning processing large volumes of information in real time, companies can make decisions based on facts, not assumptions.
AI enhances decision-making in the following ways:
- Predictive analytics : AI identifies trends and patterns, allowing companies to anticipate risks and opportunities before they become problems or are lost.
- Real-time responses : Automated processes continuously collect and analyze information, offering insights without the need for human intervention;
- Reducing human biases : with AI processing the data, decisions become more objective, based on numbers and not on individual perceptions.
Ultimately, intelligent automation not only speeds up operations , but also makes decision-making more accurate, strategic, and based on real data.
Thus, intelligent automation is already proving essential for companies seeking greater efficiency and precision in their operations . But how do you transform this concept into something practical and applicable to the day-to-day business? Below, we will discuss how to implement an agentic workflow strategically, ensuring effective adoption aligned with the company's needs.
4. How to implement an agentic workflow ?
Implementing an agentic workflow goes beyond simply adopting intelligent automation. Although both concepts are related, it's worth emphasizing that agentic workflow is a specific approach within intelligent automation , characterized by its ability to make autonomous decisions, adapt in real time, and learn continuously.
While intelligent automation can range from digitizing processes to using artificial intelligence to optimize tasks, agentic workflow structures dynamic workflows , allowing systems to automatically adjust to business variables without constant human intervention.
Below, we will see the main steps to structure an agentic workflow aligned with business needs.
4.1. Identification of automatable processes
Not every workflow benefits from the agentic workflow . Before implementing it, it's essential to map internal processes and understand which tasks truly need an intelligent workflow.
Here are some criteria for defining processes that make sense for this technology:
- Dynamic processes, subject to constant variations : an agentic workflow is most useful in flows that require flexibility and continuous adjustments, such as in customer support and/or supply chain ;
- Tasks that require real-time decision-making : when the workflow depends on variable external factors, an agentic workflow can optimize choices without the need for human intervention;
- The need for integration between diverse systems and data : companies that deal with multiple systems can use agentic workflows to connect information and avoid bottlenecks.
Some examples of processes that can be structured with an agentic workflow include:
- distribution of customer service requests : the intelligent agent analyzes volume, complexity, and urgency to route each request to the correct department;
- Smart financial approvals : the system assesses risk and compliance before automatically validating a transaction;
- Adaptive inventory management : sensors and algorithms adjust orders according to demand and consumption forecasts.
The distinguishing feature of agentic workflow is its adaptability — it doesn't follow a fixed script, but continuously adjusts based on the data it receives.
4.2. Tools and system integration
The effectiveness of an agentic workflow also depends on the ability of the chosen tools to interact with the company's existing systems.
So, what is essential to consider when selecting the tools?
- Compatibility with corporate systems : the solution needs to connect seamlessly with ERPs, CRMs, and platforms already in use;
- Learning and adaptation capabilities : unlike conventional automation, an agentic workflow must be able to automatically adjust rules based on new data;
- Security and compliance : data governance is essential to avoid operational risks and ensure compliance with regulations such as the Brazilian LGPD (General Law for the Protection of Personal Data).
A well-implemented agentic workflow reduces operational silos (dispersed and separate information), improves efficiency , and allows companies to scale operations without compromising quality.
We can say that implementing an agentic workflow is not just a technological change, but an evolution in how processes are managed . With the right flows and tools, companies can create smarter and more adaptable operations, preparing for a future where automation will be a competitive differentiator.
In the next section, we will explore some practical examples of how agentic workflow can be applied to transform different sectors and optimize results. Keep reading!
5. Practical examples of applying agentic workflow
The ability of an agentic workflow to adapt, make real-time decisions, and optimize workflows has a direct impact on business efficiency . As we have seen, this approach goes beyond conventional automation, bringing flexibility and intelligence to processes that previously required constant human intervention. Below, we explore two practical applications of this technology.
5.1. Automation in customer service
Customer service cannot be rigid: it must be agile, precise, and adaptable to the needs of each interaction . In this context, the use of an agentic workflow allows service processes to adjust dynamically , intelligently distributing demands and ensuring more effective responses.
Thus, the agentic workflow improves service in the following ways:
- Dynamic request routing : instead of following a fixed flow, the system analyzes each request in real time, taking into account urgency, customer history, and problem complexity, routing it to the most appropriate department or professional;
- Interactions that evolve with context : unlike a chatbot , an agentic workflow learns from previous conversations, adjusting responses and suggesting personalized solutions;
- Seamless integration between channels : the customer can initiate a service request via WhatsApp , chat , email , or phone, and the system unifies the interactions, avoiding unnecessary repetition.
Let's consider a practical example : a certain technology company adopted an agentic workflow for its technical support service. Previously, all requests went through a fixed routing, generating unnecessary queues . With the new system, demands began to be prioritized dynamically, reducing the average response time and improving customer satisfaction .
In other words, this advanced automation not only accelerates processes but also adapts each service to the user's real needs , making interactions more efficient.
5.2. Internal management and productivity
The impact of agentic workflow isn't limited to external customer service. Within companies, it also optimizes task management, resource allocation, and approvals , making operations faster and more organized.
Understand better how agentic workflow impacts internal management :
- Internal processes without bottlenecks : workflows such as payment approvals, material requisitions, or contract management are intelligently automated, considering predefined criteria;
- Efficient allocation of time and resources : In dynamic environments, agentic workflow automatically redistributes tasks and adjusts schedules, ensuring productivity without overload.
- Continuous monitoring and automatic adjustments : systems that integrate sensors and operational data can predict maintenance needs, inventory adjustments, or staff changes, preventing waste.
Let's look at another hypothetical practical example : a company in the financial sector implemented an agentic workflow for regulatory compliance management . Previously, document checking and contract approval depended on time-consuming manual reviews. With this intelligent automation, the system now automatically verifies the required criteria and directs only specific cases for human analysis, reducing validation time and ensuring greater accuracy in internal audits .
With this approach, operations gain more speed and predictability , allowing teams to focus on strategic activities instead of repetitive processes.
In short, adopting agentic workflow isn't just about automation—it's about making workflows smarter and more adaptable . But despite the benefits, implementing this technology also presents challenges that need to be considered.
In the next section, we will address the main barriers to adopting agentic workflow , including cultural challenges, data security, and the importance of continuous monitoring.
6. Challenges and considerations when adopting automation
Implementing an agentic workflow is not just an operational change—it's a transformation in how processes are managed and executed. Despite the obvious benefits, technical, cultural, and strategic challenges can hinder its adoption.
To ensure an effective transition, it's essential to consider the fundamental aspects we will address below.
6.1. Technological and cultural barriers
The introduction of intelligent automation can encounter technical difficulties and internal resistance . Legacy systems are not always compatible with new technologies, and teams may see automation as a threat to their jobs.
To overcome these barriers, it's important to focus on:
- Gradual upgrade and integration : before implementing an agentic workflow , it is essential to assess compatibility with existing systems and, if necessary, adopt intermediate tools that allow integration without interrupting operations;
- Training and clear communication : To reduce employee resistance, demonstrate how automation improves work, eliminates repetitive tasks, and frees up time for strategic activities. Provide training so that the team can adapt to the new dynamics.
- Phased automation : start with smaller, low-impact operational workflows, measuring the results before expanding automation to more complex processes.
By investing in a more structured process, the company avoids internal resistance and integration problems, ensuring a smooth transition to intelligent automation.
6.2. Data security and privacy
Agentic workflows rely on large volumes of data to operate efficiently, but this also increases the risks related to data leaks , unauthorized access, and compliance with regulations such as the LGPD (Brazilian General Data Protection Law).
To address these issues, it is important to implement:
- Defining access and authentication rules : the agentic workflow must operate with well-defined access profiles, ensuring that only authorized users and systems handle sensitive information;
- Encryption and continuous auditing : all data processed by automation must be protected by advanced encryption methods, and the company must conduct regular audits to identify vulnerabilities;
- Compliance from implementation onwards : before adopting an agentic workflow , the company must ensure that its data protection policies are aligned with regulatory standards, avoiding legal risks.
Companies that prioritize security from the start of automation avoid future problems and ensure a reliable and protected digital environment.
6.3. Continuous monitoring and optimization
On the other hand, automation does not mean leaving processes on “autopilot .” Without monitoring, an agentic workflow can become inefficient, generate operational failures, and lose its value over time.
Therefore, it is important to take the following actions:
- Establishing clear KPIs : defining metrics such as response time, error rate, and impact on productivity allows the company to track automation performance in real time;
- Adjustments based on continuous learning : agentic workflows can be reconfigured as new operational patterns emerge, ensuring that automation evolves along with the business;
- Recurring tests and audits : periodically reviewing automated processes ensures they remain aligned with company needs and market changes.
Thus, continuous monitoring can ensure that automation remains efficient and adaptable , delivering consistent and sustainable results.
There is no doubt: companies that treat automation as a living process , evolving and adjusting to business needs, can transform their workflows into strategic assets, reducing inefficiencies, optimizing resources, and expanding their capacity for innovation .
7. From code to strategy: how Skyone simplifies automation
Automation isn't about pressing a button and letting the machine run. At Skyone , we understand that every company has its own pace, challenges, and ambitions . That's why our approach goes beyond technology: we connect strategy and innovation, ensuring that automation is a growth engine and not just another system operating behind the scenes.
Agentic workflow isn't a generic solution . It needs to fit the company's context, be secure, scalable, and integrated into operations. That's exactly what we deliver, transforming automation into a competitive advantage.
- Infrastructure that keeps pace with business evolution : workflows require a solid foundation. Our unique cloud-based management platform allows companies to operate with high availability and performance, without having to worry about server maintenance or IT complexity.
- Seamless integration : Automation only works when systems communicate with each other. With Skyone Studio , we connect ERPs, CRMs, financial platforms, and other applications without the need for complex development. The result? Data flowing quickly, faster processes, and more informed decisions.
- Automation that respects governance and security : it's not enough to just automate. It's necessary to ensure that automation happens with control, transparency, and compliance. Our cybersecurity and compliance layer protects data and automated workflows, ensuring that operations comply with standards such as the LGPD (Brazilian General Data Protection Law) and other regulations specific to each sector.
- Intelligence that goes beyond execution : automating a process without understanding its impact on the business is wasting potential. Our solutions transform operational data into insights , allowing workflows to learn and adapt continuously. This means faster decisions, more efficient processes, and an operation prepared for change.
We know that every workflow has a purpose. And our role is to ensure that it is intelligent, fluid, and aligned with what truly matters to the business . We simplify automation so your company can focus on what it does best: growing, innovating, and delivering value .
Do you want to explore the true potential of intelligent automation, without rigid solutions and complicated processes? Talk to one of our specialists and discover how Skyone can transform your workflows into strategic differentiators for your business!
8. Conclusion
Intelligent automation, especially through agentic workflow , is redefining operational efficiency in companies . By enabling autonomous agents to make real-time decisions and dynamically adjust processes, organizations achieve previously unimaginable
flexibility and precision As we have seen throughout this article, the successful implementation of this technology requires careful analysis of internal processes , identification of areas that would benefit from adaptive automation, and the selection of tools that integrate seamlessly with existing systems. Furthermore, it is also important to consider aspects such as data security and team training to ensure a smooth and effective transition .
The journey to intelligent automation is unique for each organization. Therefore, every company must find and rely on partners who truly simplify this transition , offering customized solutions that align advanced technology with business strategies.
If you understand the importance of this transformation and want to automate processes without hindering them , connect systems without complications, and transform data into faster decisions, the time to act is now .
How about deepening your knowledge about how artificial intelligence is shaping digital transformation and how to effectively integrate it with legacy systems? Read our article "AI-driven digital transformation: frameworks , success metrics, and integration with legacy systems" and discover practical strategies and relevant insights to boost your journey towards innovation.
