Author: Felipe Bahiense

Companies seek to deliver more value in less time and with fewer resources. In this scenario, low-code and Artificial Intelligence become fundamental pillars of innovation.

The combination of these technologies is redefining how organizations create and scale digital solutions. Low-code platforms reduce complexity and accelerate development. AI, in turn, adds intelligence, automation, and predictive capabilities to processes.

Together, these forces usher in a new era of innovation: more agile, intelligent, and strategic.

What is low-code and how does it accelerate innovation in companies?

Low-code platforms emerged to simplify software development and customization. Their purpose is to enable companies to create or adapt systems and applications in a visual and intuitive way

Essentially, users can configure the solution simply by dragging and connecting preconfigured components.

This reduces coding time and expands the participation of non-technical professionals in the creation process. The approach also results in systems and processes that are better suited to actual needs, since the people who perform the activities can also configure them. This ensures greater accuracy.

Business departments can therefore develop prototypes, automate workflows, and test ideas quickly. Meanwhile, IT teams retain control over architecture and security.

This democratization of development creates a continuous innovation cycle in which ideas are validated and improved in record time. According to a Dynata (2025) report, 98% of technology leaders reported saving time and money by using low-code or no-code solutions.

Companies that adopt low-code platforms, such as Fusion Platform, achieve significant gains in productivity, team integration, and delivery speed, the three pillars of modern digital agility.

Several customers have already reported a 50% increase in workflow performance and a 60% increase in the volume of automated requests.

How Artificial Intelligence Enhances Low-code Platforms

AI enhances low-code by adding a layer of learning and automation that goes beyond simple task execution, enabling systems to analyze data, identify patterns, and recommend actions in real time. As a result, many companies have been using the combination of these solutions to transform critical processes.

Some examples of how AI amplifies the power of low-code platforms include:

Automatic application generation

Generative AI models understand natural-language commands and convert descriptions into interfaces, workflows, and business rules, reducing manual development effort.

Intelligent process automation

Combining RPA with AI and low-code makes it possible to create workflows that learn and adapt to context, eliminating bottlenecks.

It is mainly used in repetitive processes, such as invoice analysis, bank reconciliation, and reimbursement management.

Predictive analytics and real-time insights

Low-code applications integrated with AI can forecast demand, identify operational failures, and automatically suggest improvements. In practice, they can anticipate changes in demand, optimize inventory, and reduce waste.

Chatbots and intelligent assistants

Developed within low-code platforms, AI-powered chatbots provide automated support by learning from previous interactions to personalize responses.

Looking ahead, generative AI represents the next frontier of this evolution. This model can autonomously generate content, code, and even automation workflows.

It is another step toward enabling companies to implement advanced AI capabilities without the need for data scientists or complex infrastructure.

AI and the Power of Contextual Interaction

One of the most innovative features of low-code platforms integrated with AI is the ability to extract information by “talking” to a document. This technology transforms how teams access and use corporate information.

Imagine being able to ask questions directly to a contract, report, or internal knowledge base. AI reads, interprets, and responds based on the file’s content, providing accurate, contextual information in seconds. To provide companies with greater agility, Fusion Platform incorporates a range of AI capabilities that make document management and complex information searches simple and fast. With Nia, you can obtain complete information using simple commands. Examples of applications include:

• Natural-language queries with questions such as: which clauses mention contractual penalties?;
• Process modeling: by writing simple and detailed instructions, AI can generate fully built workflows. This includes activities, decisions, approvals, and tasks or related areas;
• Automatic data extraction, such as deadlines, amounts, and indicators;
• Decision-making support by analyzing extensive documents in real time;
• Direct integration with workflows, automating administrative and legal tasks;
• Automatic form filling: collecting, interpreting, and structuring data from multiple sources to automate repetitive tasks;
• Document translation: any attached document can be instantly translated into multiple languages using AI. Users can also receive responses directly in the chat and in their native language.

All these possibilities ultimately mean less time spent on manual reading and more focus on strategic analysis.

Governance and Security in Enterprise Low-code Platforms

When it comes to digital transformation, organizations need control over processes, documents, tools, data, and information.

As a driver of agility, when workflows are inefficient, these inefficiencies can also be amplified. In other words, innovation can become a risk. For this reason, enterprise low-code platforms with integrated AI are designed to ensure governance, security, and compliance, even in distributed development environments.

In this context, Fusion contributes to governance by offering:

• Centralized management of users, data, and permissions;
• Performance monitoring and automated auditing;
• Access control and security levels with encryption;
• Compliance with security and privacy regulations, such as Brazil’s LGPD;
• Controlled integration with legacy systems and enterprise APIs.

The Future Combines Speed, Intelligence, and Governance

With the evolution of generative AI, the future of low-code platforms will be even more disruptive. Soon, creating a process, workflow, or even applications may be as simple as describing an idea in natural language. The platform itself, with integrated AI, will automatically build the prototype, with logic, layout, and integrations ready for use.

This automation does not eliminate the role of developers. Instead, it transforms them into orchestrators of digital ecosystems, ensuring scalability, security, and performance.

Companies that adopt this approach can accelerate solution development, automate processes, and extract knowledge from their own data and documents in real time.

The key is choosing the tool that best fits your business. Fusion Platform is a complete solution for legal, document, indicator, process, and risk management. It also offers native digital signatures and integration with other solutions already used by the company. By integrating generative AI capabilities, Neomind takes the lead in offering multiple solutions on a single platform. Try Fusion Platform and discover the power of combining low-code with Artificial Intelligence to accelerate your company’s digital transformation.

People with a static profile may be the true cause behind the failure of your projects, and you may not even have realized it yet. Unfortunately, many projects stall not because of technical failures, but because of a lack of dynamism from those who should be making things happen.

We live in the age of disruption. Technology has evolved from being merely an operational resource to becoming the driving force behind corporate strategies.

However, no matter how advanced tools such as RPA, electronic signatures, risk management software, and automation platforms may be, it is people who ultimately determine the success or failure of any initiative.

At this point, there is one silent yet deeply damaging factor: the static profile.

What is a static profile?

From a psychological perspective, Stanford researcher Carol Dweck associates the static profile with the concept of a fixed mindset. People with this profile believe that their abilities are unchangeable. As a result, they:

• Avoid challenges;
• Give up when faced with obstacles;
• View effort as a sign of failure rather than progress.

In practice, this translates into behaviors such as:

• Resistance to new methodologies;
• Refusal to test new tools;
• Dismissing changes proposed by innovation or IT teams;
• A tendency to undermine innovative projects due to fear, insecurity, or attachment to familiar routines.

The fear behind resistance

The root of this behavior lies in a psychological self-protection mechanism. People with a static profile often associate change with the risk of exposure, failure, and loss of control.

As a result, they avoid anything new, even when it represents progress and tangible benefits.

In the short term, this attitude may create a false sense of stability. In the medium and long term, however, it erodes the company’s culture, stifles innovation, and hinders growth.

Based on our experience with projects across different industries, we have found that people who focus solely on short-term rewards while ignoring medium- and long-term results are the most harmful to a business.

When temporary frustrations arise, they lose sight of the future benefits, both for themselves and for the company.

The impacts of the static profile on innovation

Assigning someone with a static profile to lead or participate in automation or digital transformation projects is like trying to drive with the parking brake engaged.

Business processes require a fresh perspective, continuous refinement, and dynamic thinking every day. They demand a mindset of continuous change and the ability to turn today’s frustration into tomorrow’s results.

When this profile occupies strategic roles, the negative effects are evident:

1. Process Rigidity

Even with flexible systems, low-code or no-code platforms, and powerful integration tools, fear of change leads these individuals to keep everything exactly as it is.

Instead of adapting the system to the process, they adapt the process to the system simply to avoid the discomfort that change brings.

2. Premature rejection of new solutions

RPA projects, for example, often come to a halt because initial setbacks trigger exaggerated reactions. A bug or a temporary failure becomes the justification for abandoning the initiative altogether.

3. Disguised sabotage

Statements such as “This will never work here” or “This system isn’t suitable for our department” often conceal unconscious emotional resistance.

The opposition appears to be based on technical criticism, but its true origin is psychological discomfort with change.

4. Cultural stagnation

Continuous improvement requires an environment where making mistakes is part of the process and feedback is welcomed. The static profile suppresses this environment by creating rigidity, judgment, and even fear.

In reality, the problem lies in selecting the right people. Choosing the appropriate profile to manage an innovation project can deliver extremely positive results.

The emotional contagion power of the static profile

Static-profile leaders can spread fear, insecurity, and rigidity throughout the entire team.

Before long, a promising project can turn into a minefield where no one is willing to take risks or propose new ideas.

Expressions such as “We’ve already tried that and it didn’t work” or “Nothing ever changes here” are clear signs of a culture poisoned by a fixed mindset.

Continuos improvement requires flexibility

A culture of continuous improvement is severely hindered by rigid and inflexible people. This is a major challenge for organizations because, when properly implemented, continuous improvement delivers benefits such as:

• Ensuring adaptation to market changes;
• Increasing operational efficiency;
• Reducing waste;
• Encouraging innovation and organizational learning.

However, this approach only works when the people involved have the mental and emotional flexibility to deal with change, ambiguity, and experimentation.

The difference between failing and learning lies in the mindset

Innovation is never a linear process. Automation projects, risk management initiatives, process digitalization, and the adoption of new technologies will always encounter obstacles.

The difference between companies that evolve and those that fall behind lies in how they respond:

• Growth mindset: learns from mistakes, adjusts course, and shares lessons learned;
• Fixed mindset: becomes frustrated, blames others, and abandons the project.

How can this scenario be changed?

To neutralize the impact of static profiles and create an environment that fosters innovation, several actions are essential:

1. Assess your team’s profiles: Identify who is willing to learn and grow and who remains stuck in an outdated mindset.
2. Develop emotional competencies: Resilience, tolerance for frustration, and systems thinking are just as important as technical knowledge.
3. Empower change: Low-code tools and automation solutions should be accompanied by autonomy. Eliminate bureaucratic barriers and give teams the freedom to make quick adjustments.
4. Integrate technology that facilitates adoption: User-friendly and intuitive solutions help reduce initial resistance while delivering quick results, increasing engagement and reducing internal resistance.

Fusion Platform helps break down barriers to resistance

Although the root of the problem lies in people’s mindset, the choice of technology also plays an important role. Easy-to-adopt platforms can reduce resistance and accelerate results, even in teams with more conservative members.

This is where Fusion Platform becomes a strategic ally for your business. By bringing together process automation, performance management, document management, risk management, and native electronic signatures in a single environment, it reduces technical barriers and simplifies execution.

This enables changes to be implemented quickly, without relying on lengthy development cycles.

For resistant teams, this approach can provide the encouragement they need. Once they realize that innovation makes their daily work easier and solves real problems, many professionals begin to adopt a more flexible attitude and become more open to new ideas.

Digital transformation is also human transformation

Static profiles remain the greatest invisible obstacle to digital transformation. If your company is struggling to move forward with promising projects, before blaming the tools or vendors, take a closer look at the people behind the decisions and execution.

In times of rapid change, the greatest threat to your business may be someone who refuses to change.

The good news is that, by adopting flexible and user-friendly platforms, organizations can significantly reduce technical barriers and accelerate the acceptance of innovation.

With Fusion Platform, you empower your teams to implement improvements with agility and confidence. As they experience how these changes make their routines more efficient and productive, even the most resistant professionals begin to recognize the value of transformation.

Innovation cannot wait. Neither can your business. Experience Fusion Platform and start your company’s digital transformation today.

Sustainable hyperautomation is the link that unites innovation, productivity, and ESG commitment in a single long-term strategic movement.

Hyperautomation is no longer just a trend, it has become a reality in large enterprises. Platforms that combine RPA, Artificial Intelligence, systems integration, and governance promise significant productivity gains, transforming the way organizations operate. 

However, a critical point that is often overlooked is sustainability: it is not enough to automate everything. If poorly planned, the race for efficiency can generate excessive energy consumption, resource waste, and ethical risks.

Gartner reports indicate that 90% of large organizations already treat hyperautomation as a priority. However, fewer than 20% have solid metrics to assess their impacts and efficiency. This means most organizations automate without properly measuring IT energy efficiency and the environmental or social cost, a mistake that can jeopardize ESG initiatives and even lead to regulatory sanctions.

In this context, sustainable hyperautomation emerges as the convergence between technological innovation and socio-environmental responsibility.

What is sustainable hyperautomation?

Sustainable hyperautomation consists of adopting advanced automation solutions with a strategic outlook on resource consumption, environmental impact, and the ethical governance of AI. 

Rather than simply automating for automation’s sake, companies seek to optimize energy use, reduce carbon emissions, manage data responsibly, and ensure that the algorithms used are transparent and free of bias.

This concept rests on three pillars:

1. Energy efficiency: ensuring that automated processes are energy-optimized, from data center infrastructure to the choice of more efficient algorithms;
2. Responsible AI: developing and applying AI models with ethical criteria, transparency, explainability, and mitigation of bias and distortions;
3. Sustainable lifecycle: considering the entire lifecycle, from choosing technology suppliers to disposing of and upgrading equipment, avoiding waste and prioritizing renewable energy sources.

What are the risks of not investing in sustainable hyperautomation?

Although the clear gains offered by hyperautomation are well known, poor implementation or inadequate oversight brings risks such as:

• Energy overload and hidden costs: large AI models and bots operating 24/7 significantly increase energy consumption and cloud costs. Without an optimized architecture, automation can cancel out the very efficiency gains it was meant to deliver;
• Redundancy and automated chaos: automating processes that are inefficient or poorly mapped only accelerates failures. The result is computational waste, duplicated tasks, and server overload, generating hidden costs and unnecessary environmental impacts;
• ESG governance and compliance: regulators and investors demand proof of positive impact. A lack of IT sustainability metrics, traceability, and carbon reports can lead to fines and damage corporate reputation;
• Ethical and AI bias risks: automated decisions made without human oversight can amplify deviations, violate the privacy of customers or partners, and undermine brand trust. For this reason, hyperautomation must be planned with integrated responsibility, ethics, and governance.

Energy efficiency and responsible AI: pillars of sustainable hyperautomation

Data centers and AI systems already consume around 1.5% of the world’s total electricity, and studies project an increase of more than 160% by 2030.

In this scenario, companies pursuing hyperautomation need to ensure their IT environments are energy efficient, adopting cloud providers powered by renewable energy, compact algorithms, and continuous consumption monitoring to avoid waste and hidden costs.

But efficiency alone is not enough. Automating critical processes requires responsible AI, with explainable models, free of bias, and compliant with regulations such as LGPD. 

This makes it essential to document the algorithms’ lifecycle, protect data with advanced privacy techniques, and maintain AI governance. Ethics committees and contingency plans should also be created.

Integrating energy efficiency and AI responsibility turns hyperautomation into an engine of sustainable productivity. This approach strengthens the company’s reputation and ensures that technological gains do not come at the expense of the planet or customer trust. 

Why do intelligent processes outperform the practice of automating everything?

Numerous studies have shown that processes orchestrated with responsible AI can predict energy peaks, reduce failures, and optimize consumption. However, human oversight and retrospection are essential to prevent automated decisions from undermining sustainability.

Companies that simply robotize tasks without reviewing workflows and eliminating waste run the risk of accelerating inefficiencies. This can raise costs and increase environmental impacts.

The real gain lies in creating intelligent processes, where automation eliminates redundant steps, reduces errors, and operates with minimal energy consumption.

Principles for intelligent and sustainable hyperautomation

Companies that want to reap real benefits need to go beyond simply implementing bots. Best practices in sustainable hyperautomation include:

1. Automate with purpose, not as a trend: use data to analyze activity flow, uncovering inefficiencies and bottlenecks. Always prioritize automations that have a direct impact on reducing costs, failures, and energy consumption;
2. Efficient and scalable architecture: adopt cloud infrastructures with renewable energy policies and automatic scaling. Favor compact, optimized AI models, avoiding unnecessary CPU and GPU loads;
3. Continuous measurement of consumption and emissions: monitor the energy expenditure of each automated flow in real time. Establish efficiency KPIs, such as kilowatt-hours per process, to link ROI to sustainability;
4. Responsible AI with human oversight: include human intervention in the lifecycle of automated systems, especially for critical decisions. Ensure explainability, auditing, and periodic review of models to reduce bias.
5. Integrated governance and ESG policies: create multidisciplinary committees to evaluate new projects. Align hyperautomation goals with carbon neutrality objectives and ESG reports.
6. Continuous improvement cycle: after deployment, review and refine. Reduce unnecessary steps, reassess algorithms, and adjust scaling. Use monitoring data to disable or simplify automations that fail to deliver value.

Fusion Platform as the backbone of hyperautomation

For hyperautomation to reach its full strategic potential, it is essential to have a complete ecosystem of automation tools that makes it possible to standardize, monitor, and control processes.

The Fusion Platform is an integrated solution that centralizes data, processes, indicators, and all corporate management. As an integrating platform, it not only manages and automates processes but also connects sustainable RPA, AI, forms, and governance, offering a unified and efficient view of operations.

Without a doubt, it is a fundamental resource for ensuring visibility and governance for energy efficiency and responsible AI initiatives. 

Key Fusion Platform modules

With specific modules, Fusion Platform enables intelligent automation and innovation with features such as: 

• Process management (BPM): maps end-to-end workflows, identifies bottlenecks, and ensures that automation delivers real value;
• Indicator management (KPIs): performance dashboards monitor energy consumption, emissions, and efficiency in real time;
• Risk and compliance management: anticipates AI vulnerabilities,  protects sensitive data, and ensures regulatory compliance;
• Document management (ECM): digitization, classification, and control of critical information, reduced paper use, faster approvals, and traceability. 

Since automating business processes without planning is a risky shortcut, by incorporating Fusion Platform into your business, your company builds a solid foundation for monitoring the lifecycle of operations, from conception to review, expanding the positive impact on sustainability.

In other words, it’s the starting point for sustainable hyperautomation, allowing it to happen with purpose and awareness.

This approach is not just a competitive advantage: it is a market and regulatory requirement. Companies that automate intelligently, measure impacts, integrate governance, and prioritize responsible AI reduce costs, minimize risks, and strengthen their ESG image.

True sustainable hyperautomation means putting technology at the service of business and the planet. That is the secret to uniting innovation, ethics, and environmental responsibility. Why not start today? Try Fusion Platform and put your business on the path to a sustainable, innovative, and efficient future.

Undoubtedly, technology is a fundamental element for the success of any company. It was precisely because of this relevance that IT Governance emerged.

Managing and aligning infrastructure and technological inputs with strategic objectives is quite complex. But by adopting a set of appropriate practices, processes, and structures, companies ensure a successful future.

With IT governance, companies can control the business and measure the results of their decisions and investments. In addition, it maintains strategic alignment, increasing competitiveness.

Its application is comprehensive, and brings with it benefits such as process improvement and automation, cybersecurity, cost and risk reduction, among others.

Because it is so significant, we have prepared this complete guide with all the necessary knowledge about IT governance.

Whai is IT Governance?

IT Governance is a set of best practices and procedures that use recommended frameworks to ensure that the technology sector is aligned with the organization’s strategic objectives.

To do this, it covers all the resources used, such as hardware, software, and professionals. In this sense, IT governance is indispensable for the management, control, and quality of processes, products, and services.

This action involves:

• Strategic alignment: correlates IT strategies and business strategies;
• Value delivery: Proper use of technology investments – delivering maximum value with an acceptable share of risk. It is necessary to be clear about where the money will be invested, and what the expected return is;
• Risk management and assessment: Identifies, assess, and communicates risks to the entire enterprise.  It is essential to ensure business continuity, especially compliance with legal requirements;
• Definition and management of technology resources, including people and infrastructure;
• Information security and compliance: protection of data and systems against improper or unauthorized access. Compliance with current laws, regulations and standards;
• Performance measurement and continuous improvement: all practices must be constantly analyzed, reviewed, and improved;
• IT governance culture: valuing the importance of information technology, involving managers and shareholders in management.

The importance of IT Governance

Technology is a powerful tool that helps companies achieve their goals, being efficient and effective in the short, medium and long term.

With a focus on improving IT management, governance increases the company’s value and recognition, bringing benefits such as:

• greater information security;
• compliance with legal obligations;
• optimization of resources and cost reduction;
• increased productivity;
• improvement in internal communication;
• reduction of risks, errors and failures in processes;
• facilitate and increase the return on technology investments;
• increased trust and satisfaction of customers and stakeholders;
• deliver value to investors;
• agility in decision-making and implementation of solutions;
• monitor IT capacity decisions;
• manage the company’s performance and indicators.

IT Governance Framework

The structures serve as a basis for companies to create an IT governance system.  And there are a few possibilities.

Depending on the objectives, it is possible to implement and use more than one framework. The main IT governance  frameworks are:

• ITIL: IT infrastructure library, it is considered the standard of all structures.  It helps to visualize the entire lifecycle and also the effectiveness of IT governance. Ensures that technology services provide the necessary support to business processes;
• ISO 20000 Framework: international standard for IT service management. Provides guidance on IT best practices and methods, and measures the level of ITIL implementation;
• COBIT: allows the creation of controls for IT governance. Helps develop strategic directions based on the company’s technology strengths;
• COSO: analysis of the company’s internal controls, evaluating business-related aspects, such as risk management and fraud discussion;
• FAIR: Analysis of information risk factors that the IT department may face. It aims to increase cybersecurity and reduce operational risk;
• Balanced Scorecard: indicator board to analyze and evaluate the organization’s performance in relation to internal processes and learning aspects;
• CMII: scale that measures the performance, quality, and maturity level of IT management processes, identifying opportunities for improvement.

Positive impacts of IT governance

When IT governance focuses on optimization and efficiency, the gains are many, including:

Process automation

Corporate governance in IT aims to use resources and assets in a smarter and more accurate way. That is, implement best practices to perform the tasks.

Therefore, the detailed analysis of the processes makes it possible to redesign the flow of activities so that repetitive tasks or those with a high failure rate can be automated.

This view of the processes identifies opportunities where the use of this resource will provide efficiency and productivity gains.

Process automation and standardization add value to internal processes and contribute to customers always receiving the same quality of products or services.

Cost reduction

As IT governance manages resources and investments, there is an incessant search for alternatives that bring better returns to the company’s demands.

Implementing tools capable of improving productivity, such as BPMS is an investment with very high returns and gains.

Specifically about resources, technological solutions improve the management of IT assets, so that all resources are used properly.

Information security

This is one of the pillars of management and needs to be managed in all types of business. IT governance reduces the risks of attacks or failures. It also provides a holistic view of how data is structured, stored, used, and accessed.

This total control allows companies to act safely and in accordance with current rules and laws.

Increased competitiveness

Aligning technological tools with business strategies and goals allows the desired results to be achieved more quickly. This is also an effective way to reduce costs without compromising quality.

Another benefit is that with high adaptability and customization, technological platforms allow companies to take advantage of opportunities and new market demands.

Using these tools is a way to reduce costs without compromising quality.

The only question is how to choose the ideal tools capable of providing IT governance appropriate to the needs and objectives of your business.

The use of Fusion Platform in IT Governance

Fusion Platform is an Integrated Management Platform that improves IT governance by centralizing the management of processes, documents, and indicators in a single environment.

With specific and customized features, the solution provides a holistic view of everything that involves and affects the performance of technologies.

To implement automation, Fusion Platform performs an in-depth analysis, mapping processes to identify bottlenecks and ways to optimize and streamline the flow of activity.

What’s more, because processes are being managed, any changes that are required will be easily implemented.

Regarding documents, all data is centralized, making communication and information sharing improved. In addition, Fusion Platform has tracking tools, where any access or modification to the information is recorded.

In addition to the configuration so that only specific people access sensitive data. This ensures data protection and regulatory compliance, especially in relation to the LGPD.

The platform is fully customizable to your business needs, with scalability and adaptation to other systems.

In Central Analytics, it is possible to create metrics and indicators to manage and maintain all efforts aimed at the company’s objectives. Including the monitoring and analysis of the performance of the information technology area.

In short, adding the Fusion Platform with IT governance promotes a more agile, adaptable and results-focused management. How about proving how, in a short time, the Fusion Platform is able to contribute to your company’s IT governance? Try Fusion Platform and manage processes, documents, and metrics for IT and your entire enterprise.