A diferença surge hoje noutro lugar. Está na velocidade com que uma empresa transforma informação em decisão e decisão em execução consistente. Nesse intervalo, cada vez mais curto, nasce a vantagem competitiva.

A mudança é estrutural. Os sistemas já não servem apenas para suportar o negócio, mas sim passaram a fazer parte do próprio mecanismo operacional. Até porque, quando dados, modelos e processos não estão ligados, surge fricção. Em 2026, fricção traduz-se em tempo perdido, decisões tardias e margens sob pressão.

Por isso, a execução deixou de ser um tema operacional e passou a ser uma opção estratégica. Organizações rápidas não são apenas mais eficientes, são mais competitivas porque ajustam-se ao mercado enquanto ele ainda muda.

Um erro frequente é tratar a IA como iniciativa isolada, um piloto ou uma camada por cima do que existe. A IA com impacto real vive no núcleo do negócio, no planeamento, previsão, definição de preços, atendimento ao cliente, operações. Não como adereço, mas como parte do processo de decisão. Quando fica à margem, aparecem os sintomas habituais. Adoção baixa, incapacidade de escalar, resultados pouco usados, retorno limitado.

O debate técnico também mudou. Já não se resume a ferramentas. A pergunta central é como desenhar sistemas que encurtem o ciclo entre sinal, decisão e ação. Quem reduz esse ciclo ganha velocidade operacional, mas quem não o faz acumula complexidade e perde agilidade.

Há ainda uma dimensão humana subestimada. As pessoas trabalham melhor quando o sistema de trabalho é claro. Autonomia bem definida, responsabilidade explícita, ciclos de feedback curtos. Menos passagens de testemunho, menos aprovações em cadeia, mais responsabilidade de ponta a ponta. E as equipas orientadas a domínios, com métricas visíveis e capacidade real de decidir.

Neste contexto, o papel do CTO evoluiu. Já não basta assegurar estabilidade ou escolher soluções. É preciso alinhar necessidades do negócio, arquitetura técnica e desenho organizacional. Isso exige compreender onde se cria valor, onde se perde tempo e quais decisões mexem nos indicadores críticos.

A IA acelera este caminho quando está bem integrada. Encurta análises, permite simular cenários, antecipa padrões e apoia decisões quase em tempo real. O valor não está no modelo, mas na rapidez com que o negócio age a partir dos seus resultados.

Até em áreas como o marketing a lógica é semelhante. Conteúdo é abundante, mas o diferencial está em ligar dados, contexto e distribuição algorítmica, sem perder rigor. À medida que o entusiasmo inicial abranda, voltam os fundamentos. Fiabilidade, segurança, observabilidade. É com base nisto que cristalizamos o seguinte: sistemas sem métricas acionáveis, qualquer sistema trabalha, na prática, às cegas.

2026 marca o fim da ingenuidade tecnológica. A pergunta já não é que tecnologia adotar. É como usar tecnologia e IA para criar valor mais depressa, de forma repetível e segura. É essa resposta que separa quem lidera de quem fica para trás.

For years, business, marketing, and technology evolved in parallel. In 2026, that separation no longer exists. The market enters a tougher, more rational phase, less tolerant of waste. Strategy is back in charge. Execution becomes a survival criterion.

The companies that will win in 2026 are the ones that understood that technology has stopped being a competitive advantage — it has become a cost of entry. AI, automation, data, cloud. All of this is baseline. The difference lies in orchestration: how these capabilities are combined to generate margin, speed, and better decisions.

At the center of this transformation is the business operating with AI at the core. Not as “support,” but as a nervous system. Planning, forecasting, pricing, customer service, operations. Those who continue to treat AI as lateral innovation enter 2026 on the wrong foot.

But there is a critical point that many organizations still underestimate: people do not work better just because technology is better. This is where vibe working comes in.

In 2026, productivity does not come from excessive control or from speeches about culture. It comes from work environments with the right energy, clear autonomy, and focus on output. Vibe working is not working “lighter.” It is working aligned. Teams that understand the why, have space to decide, and feel real progress deliver more, better, and faster.

Companies that ignore this will have advanced technology stacks and emotionally disconnected teams. Result: low adoption, internal friction, and weak execution.

The leader of 2026 needs to master two things at the same time: intelligent systems and organizational energy. Less micromanagement. More clarity of objectives, alignment rituals, and accountability for results. Vibe does not replace strategy — but without vibe, strategy does not leave the paper.

In marketing, the shock is similar. Content becomes a commodity. Isolated creativity loses value. The differentiator becomes context, intelligent distribution, and algorithmic credibility. Producing is not enough. It is necessary to be recommended by systems, cited by AI, integrated into decision flows.

Here, vibe working also matters. The most effective marketing teams operate as growth squads, with rhythm, autonomy, and clear responsibility for impact. Fewer endless approvals. More fast tests, data in sight, and continuous decisions.

The consumer of 2026 is pragmatic. Less tolerant of noise. They want simple, useful, and coherent experiences. Artificial purpose and empty storytelling stop working. Trust is built with operational consistency — and that starts internally, in the way teams work.

In technology, the hype slows down. Platforms win. Isolated solutions lose. The focus shifts to robust, secure, and scalable infrastructure, capable of operating almost autonomously. But again, technology without adoption is just cost. Without teams with energy, clarity, and ownership, there is no ROI.

Hardware returns, but with pragmatism. AI integrated into devices, functional robotics, physical systems connected to digital — all with a simple criterion: measurable efficiency.

At the core, 2026 marks the end of digital naïveté and also of cultural naïveté. Winning companies are those that align strategy, technology, and execution vibe. The others will continue busy, full of tools and empty of results.

Humility is essential. No one controls everything. But those who build adaptable systems, energized teams, and fast decisions will create a competitive distance that is hard to close.

The future does not belong to those who adopt more technology, but to those who turn it into consistent execution, every day.

Written by Pankaj Parshotam

Read the full article here.

InnoWave is a Portuguese technology consultancy founded in 2008, with 4 international offices and more than 450 employees. The company operates primarily in sectors such as telecommunications, energy, and banking, and is making a strong push in artificial intelligence (AI), aiming to grow its revenue by 77% by 2028.

It recently launched AstroLab, a platform for testing and validating AI solutions, and runs its own academy to train talent in Cloud, Data, and AI.

We spoke with Gabriele Rachello, Chief Technology Officer, about what it’s like to work at a company that puts artificial intelligence at the heart of its strategy — and about InnoWave’s next steps in its innovation journey.

1. Gabriele, how long have you been at InnoWave, and how has your role evolved since then?

I’m InnoWave’s Chief Technology Officer, and since joining the company, my journey has been a true innovation adventure. I joined at a time when AI was still a promise — today, it’s our main driver of transformation.

My role evolved from leading technical teams to becoming a catalyst for change, driving AI adoption across the organization and with our clients. What’s most rewarding is seeing how the technology we develop is changing lives and creating real opportunities for everyone.

2. Describe a typical day at InnoWave. What’s the office environment like?

At InnoWave, there really are no “typical” days. Every day is an opportunity to innovate. The environment is vibrant, collaborative, and multicultural, with more than 450 InnoWavers across 4 international offices. We have an open-door culture where ideas flow freely and curiosity is encouraged. Whether onsite or working in hybrid mode, the team spirit is contagious: there’s always someone testing a new AI model, sharing an insight, or challenging the status quo. And of course, we celebrate every achievement — big or small — with the same energy.

3. Everyone talks about AI, but not everyone is building things that actually work. Do you remember a project where AI solved a problem that other approaches couldn’t?

Absolutely. One of the most impactful projects was implementing an AI agent for a major telecom operator. The challenge was to reduce support costs while improving the customer experience. With AI, we automated 60% of support requests, reduced resolution time by 40%, and increased customer satisfaction by 30%.

This impact would have been impossible with traditional approaches. Only AI allowed us to scale, personalize, and learn from every interaction, making the service truly intelligent and efficient.

4. Have you ever had to tell a client that the AI solution they wanted wasn’t a good idea? How did you handle that conversation?

Yes — transparency is one of InnoWave’s core values. There have been situations where clients wanted to apply AI in scenarios with insufficient data or unclear ROI. In these moments, I always explain the risks and suggest more viable alternatives, often starting with a pilot to validate value before scaling. Our goal is to be a trusted partner, not just a technology vendor.

5. You work across telecom, banking, and more. Was there any AI application that surprised you by having a much bigger impact than expected?

Yes — one case that truly surprised me was using AI to optimize asset management in solar farms. We built an intelligent monitoring solution that centralizes equipment data, detects anomalies in real time, and recommends interventions before efficiency drops. The result: a 20% increase in energy production and a 25% reduction in operational costs.

What impressed me most was not only the technical performance boost — but how it transformed the way teams work, making them more proactive and less tied to repetitive tasks. It was a real leap in productivity and sustainability.

6. What AI technologies and tools do you use daily? Are there any you consider essential?

We work with a robust ecosystem: from open-source frameworks like TensorFlow and PyTorch to cloud platforms using generative AI from partners such as Microsoft Azure, AWS, and Google Cloud. We also use intelligent automation tools, natural language processing, and generative models. But the essential piece is our ability to integrate these technologies in an agile, secure way, supported by a strong data foundation — always with a focus on real business impact.

7. What’s the toughest technical problem you’ve had to solve — the one that really made you hit your head against the wall?

One of the biggest challenges was dealing with the noise and complexity of application and infrastructure monitoring in large telecom operations. We were receiving thousands of alerts every day — many irrelevant — making it hard to quickly identify critical incidents.

The solution came through developing our AI ThinkPanel. This platform uses artificial intelligence to automatically filter alerts, detect recurring patterns, and highlight only the incidents that truly matter.

With AI ThinkPanel, we dramatically reduced false alerts and sped up response times. Instead of spending hours trying to separate signal from noise, we now have a clear, actionable view of what really needs attention.

8. InnoWave has an academy to train employees in AI. If you could add one course to Portuguese university programs, what would it be?

I’d add a course on “Ethics and the Social Impact of AI.” Beyond the technical side, it’s essential to train professionals to be aware of the impact their solutions have on society. We want future talent to think not only about how to build AI, but how to use it to create a better world.

9. Is there any project or area you’re working on now that makes you think, “in two years, this will be huge”?

Yes. We’re heavily investing in generative AI platforms for process automation and the creation of intelligent digital products through AI agents. I believe that over the next two years, these solutions will transform how companies innovate and launch products on the market. The future is driven by a passion for innovation.

At InnoWave, we believe innovation means changing lives. We are a company where technology serves people, and where every challenge is an opportunity to create positive impact.

Read the full article here.

Com presença consolidada em vários mercados internacionais, a Innowave é uma tecnológica portuguesa que desenvolve soluções digitais e de transformação empresarial, com uma aposta crescente na integração da Inteligência Artificial em todas as áreas do negócio. Fundada em 2007, atua em setores como telecomunicações, energia, banca e seguros, ajudando empresas globais a inovar e a ganhar eficiência através da tecnologia.

Innowave: “Queremos atingir os 50 milhões de euros em 2028”

Quase a celebrar 18 anos de existência, a Innowave está a reestruturar o modelo de negócio, de forma a incorporar Inteligência Artificial (IA) em todas as vertentes da empresa e disponibilizar soluções personalizadas aos clientes. Além da transformação interna, segundo André Gonçalves, chief Strategy and Growth Officer, a estratégia NEXT define três pilares de crescimento: o mercado norte-americano, o setor da banca e seguros e a integração total de IA. E é com base nestes pilares que pretendem “atingir os 50 milhões de euros em 2028”.

A Innowave está hoje presente em sete países e trabalha em setores como telecomunicações, energia, serviços financeiros e seguros. Quais diria que foram os principais marcos e também os maiores desafios desta trajetória de crescimento internacional?

Desde o início, sempre tivemos uma visão muito global. Os marcos mais significativos incluem o estabelecimento bem-sucedido nos Estados Unidos em 2018, que hoje representam 27% da nossa faturação global, e onde estamos a criar uma presença ainda mais sólida e sustentável. No setor financeiro, desenvolvemos uma solução que permite fazer transações monetárias peer-to-peer e que é utilizada diariamente por mais de 5 milhões de utilizadores, demonstrando a nossa capacidade de criar impacto em escala. O lançamento do nosso centro de tecnologia na Índia, há sete anos, foi outro marco crucial na nossa história.

Atrair e reter talento, o talento certo, em modelos distribuídos é o grande desafio, mas também acreditamos que é o nosso fator diferencial competitivo.

Em 2025, apresentaram a estratégia NEXT. O que a distingue das anteriores e que visão de futuro traduz para a empresa?

Esta estratégia representa uma transformação estrutural do nosso modelo de negócio e o objetivo foi desenhá-la para acelerar a adoção da IA em todas as vertentes. A grande diferença é adotarmos agora um caráter transversal, em que não se trata apenas de adicionar IA aos nossos serviços, mas de reimaginar todo o nosso negócio. Para isso, definimos três grandes pilares de crescimento e expansão.

O primeiro pilar é a expansão nos Estados Unidos, no qual vemos um grande potencial de valorização, nomeadamente da inovação e de soluções inovadoras que conseguimos trazer para o mercado.

O segundo é a diversificação no setor de Financial Services and Insurances (FSI), ou seja, banca e seguros, no qual pretendemos ampliar significativamente a nossa oferta e, por isso, estamos a fazer muito investimento nesta área.

Um terceiro pilar é a integração total de IA, em que todos os colaboradores trabalham diariamente com essas tecnologias, com o objetivo de acrescentar valor real ao cliente.

Esta estratégia traduz a nossa visão em tornarmo-nos líderes na transformação digital. Para nós, chama-se NEXT5028 – queremos atingir os 50 milhões em 2028. Vai ser desafiante, mas acreditamos que vamos conseguir duplicar a nossa faturação.

Temos feito vários roadshows, queremos estar mais próximos da comunidade portuguesa fora de Portugal, e estamos a ter uma visão mais holística de crescimento de mercado, com advisors que nos ajudam nos mercados mais complexos. Portanto, temos de nos munir de talento para superar algumas dificuldades que vamos ter e para conseguirmos atingir este nosso objetivo.

Que mudanças concretas já estão a implementar?

Na questão do talento, para nós, é muito importante termos programas internos de upskilling [requalificar os recursos humanos], hackathons internos [espécie de maratona de programação ou inovação, na qual, especialistas de diferentes áreas procuram solução para um determinado problema], divulgação de ideias, etc.

E pretendemos aplicar todo o nosso valor ao cliente. Neste momento, já temos em curso mais de 10 projetos reais em produção com impacto mensurável. Depois de a nossa solução estar em prática, avaliamos e medimos que grandes mais-valias é que traz em várias dimensões: pode ser diminuição do risco, ganho de eficiência operacional, aumento da oferta comercial para o cliente, etc. No fundo, isto traduz-se em três grandes áreas em que temos de impactar os nossos clientes: aumento de receita, diminuição do custo ou diminuição de risco.

Na governação, estamos a aplicar mecanismos de ética para garantir que a IA é usada de uma maneira segura e eticamente correta. Na parte da comunicação, colocamos mensagens mais orientadas a impactos e resultados e não apenas à tecnologia.

Para nós, também é muito importante o pilar do ecossistema: estamos a ter uma presença muito ativa em universidades e startups e, mais recentemente, temos uma participação no Astrolab para implementar e escalar IA. Em Portugal, temos um movimento muito forte de startups e muitas empresas com modelos de negócios diferenciadores e nós estamos junto dessa comunidade.

Internamente, temos também a questão da excelência operacional, em que um dos grandes objetivos é fazermos uma reengenharia de processos internos para termos mais agilidade e não estarmos tão dependentes de algumas plataformas internas. Uma das ideias é termos um ponto único de contacto para todos os colaboradores: ter só um sítio onde está toda a informação de uma forma fácil, em vários canais, com tudo integrado.

Um dos vossos investimentos mais recentes foi a plataforma AgentWave, baseada em IA generativa. Como é que esta aposta vai transformar a vossa proposta de valor e a relação com os clientes?

A plataforma AgentWave representa uma evolução natural, dado o nosso foco na inovação. É uma plataforma de agentes inteligentes que simula as funções de diversos colaboradores – desde programadores, gestores de projetos, pessoas que estão envolvidas em todo o ciclo de vida de desenvolvimento de software –, otimizando todas estas fases. A ideia do AgentWave é amplificar as equipas, não é substituí-las.

Nós vemos a IA numa ótica de ampliar o espectro da atuação humana, não de substituição. Há coisas que nós, seres humanos, fazemos e que acho que não vão ser substituíveis por IA. Por isso, queremos usar a IA tendo sempre que a decisão seja tomada por um humano.

No nosso caso, isto já acelerou a proposta de desenvolvimento, reduziu todo o esforço e aumentou o time to market de uma forma muito significativa. O nosso próximo passo é permitir aos clientes criar agentes personalizados para desenvolvimento de casos específicos, reforçando a produtividade, a qualidade e a segurança.

O que procuramos fazer sempre que temos um cliente é tentar perceber como é que conseguimos acrescentar mais valor, como é que conseguimos estar junto deles com toda a vertente de inovação, percebendo o negócio deles e desafiando-os, muitas vezes, para ângulos que ainda não viram.

Este ano, preveem alcançar uma faturação global de 26 milhões de euros, impulsionada pelo mercado norte-americano. Que área de negócio e geografias serão decisivas para atingir os 50 milhões previstos em 2028?

Os Estados Unidos são, definitivamente, a geografia que vai ter maior impacto nos nossos resultados futuros. Este mercado valoriza bastante a inovação e está recetivo a soluções disruptivas que nós desenvolvemos. Tenho tido algumas conversas mais institucionais nos últimos tempos e já somos reconhecidos por acrescentarmos valor à economia norte-americana: estamos a criar emprego não só em Portugal, mas também na economia norte-americana – temos entre seis e sete colaboradores a tempo inteiro nos Estados Unidos,

Outro grande fator é a questão do FSI (Financial Services Industry), em que prevemos que exista um crescimento significativo da transformação digital, muito acelerada, especialmente aqui em Portugal.

Existe também uma competição na área das fintech, com esta indústria a ter a necessidade de modernizar os sistemas, o que para nós cria oportunidades enormes, até porque temos o grande diferenciador, em termos de IA, em todas as nossas ofertas de serviço.

O objetivo não é apenas crescer em volume, mas também – e maioritariamente – crescer em valor.

Porque decidiram fazer parte do World Trade Center Lisboa International Academy by ELITE e que impacto esperam que esta ligação tem no crescimento da Innowave?

Foi muito natural para nós entrar neste programa. A decisão surgiu com esta nossa ambição de acelerar o crescimento internacional. Para isso, é necessário ter uma rede global de conhecimento, de talento e também de capital. Acreditamos que este ecossistema do World Trade Center Lisboa International Academy by ELITE permite alavancar todas estas vertentes de crescimento, dando-nos acesso também às práticas de excelência, com o exemplo de outras empresas que passaram pelo mesmo programa e o acesso a uma comunidade internacional que nos vai ajudar a reforçar toda a nossa capacidade de exploração. Vemos isto como uma grande rampa de lançamento para nos ajudar a alcançar voos maiores.

Read the full article here.

A recent study by BCG reveals that only 8% of organisations have achieved a high level of data and AI maturity (BCG, 2024). This small percentage illustrates just how difficult it is to scale data initiatives beyond isolated projects. Most companies remain trapped in the early stages, collecting large volumes of data but struggling to transform it into trusted, reusable, and business-ready assets.

The reasons are clear: fragmented ownership, limited governance, over-reliance on manual processes, and a lack of alignment between technology and business priorities. This maturity gap doesn’t reflect a shortage of tools, but rather the absence of a cohesive strategy and culture capable of unlocking data’s full potential.

This disconnect demonstrates that the challenge is not technological. Instead, success depends on strategy, governance, automation, and culture.

1. Data as a Strategic Asset

Leading organisations treat data as a core enterprise asset, just like financial capital or intellectual property. When managed strategically, data:

• Reduces risk by enabling evidence-based decisions.
• Builds trust through consistency across business units.
• Drives scalability, since reusable data assets power multiple services and products.

Research consistently shows that data-driven organisations outperform their peers in both efficiency and innovation. Organisations that successfully build data maturity often see clear improvements in efficiency, innovation, and profitability.

2. Governance: The Foundation of Trust

Data without trust is noise. Governance establishes the framework to ensure data is reliable, secure, and fit for purpose:

• Quality and consistency provide “one version of the truth” for decision-making.
• Privacy and security controls mitigate regulatory and reputational risks.
• Clear accountability models accelerate issue resolution and prevent silo conflicts.

Weak governance is one of the primary reasons why so many organisations fail to progress in their data maturity journey. Without clear standards, ownership, and trust, scaling data initiatives beyond isolated projects becomes almost impossible.

3. Automation and Scalability

The growth of data volume and velocity makes manual processes unsustainable. Automation is the enabler for scalability:

• Continuous monitoring of data quality across diverse sources.
• Metadata management and lineage to improve discoverability and compliance.
• Real-time delivery pipelines that accelerate decision-making.

Modern automation tools have the potential to eliminate a large share of repetitive data engineering tasks, freeing experts to concentrate on creating business insights instead of managing routine operations.

4. Visualization and Storytelling

Data delivers value only when it is understood and acted upon. Effective visualization bridges the gap between complexity and clarity:

• Executive dashboards provide real-time visibility into critical KPIs.
• Interactive analytics empower teams to explore insights independently.
• Narrative-driven storytelling ensures that findings resonate beyond the technical audience.

When data is framed as a story supported by clear visuals, it becomes easier for decision-makers to connect insights to action, turning information into tangible outcomes.

5. Building a Data-Driven Culture

Technology can be acquired, but culture must be cultivated. A truly data-driven organization:

• Encourages evidence-based decision-making at every level.
• Builds data literacy programs to democratize insights across the workforce.
• Breaks down silos through collaboration between business and technology.

According to the State of Data & AI Literacy Report 2024, organisations that invest in developing data literacy see measurable improvements in business performance. Seventy-five percent of leaders report that their teams make better decisions after completing structured data literacy programs.

Conclusion

We are living in an era where data is no longer just supporting the business – it is the business. Competitive advantage today is less about price or product features, and more about the ability to learn faster, adapt earlier, and respond smarter.

The journey from data to value requires more than dashboards or platforms. It requires:

• Governance, to build trust.
• Automation, to enable scale.
• Visualization, to turn information into clarity.
• Culture, to embed data-driven decision-making into the organization’s DNA.

Organisations that master these pillars will not only close the gap between potential and practice but will also lead in shaping the future of their industries.

How is your organisation currently treating data — as a strategic asset or still as an operational output?

Written by Miguel Figueiredo

We’re proud to announce that InnoWave has been selected as a founding partner in the newly launched Testlio Apex Partner Program (TAPP) — a milestone that strengthens our ability to help clients deliver seamless, reliable, and delightful digital experiences at global scale.

Raising the Bar for Quality

As businesses race to launch new digital services — powered by AI, cloud-native architectures, and complex integrations — the challenge is no longer just about building software. It’s about making sure it works everywhere, for everyone, under real-world conditions.

By joining TAPP, InnoWave can now bring to our clients:

• Access to a global testing network – through Testlio’s 15,000-strong community of quality experts in more than 150 countries, enabling us to test products across devices, networks, and geographies.
• AI-driven quality orchestration – integrating Testlio’s LeoAI and advanced workflows into our delivery process for faster, smarter, and more reliable testing cycles.
• Enhanced end-to-end assurance – from functional and performance testing to usability, payments, and security, ensuring every release meets the highest standards of resilience and user experience.

What This Means for Our Clients

This partnership translates directly into stronger outcomes for the organizations we serve in telecom, energy, financial services, and beyond:

• Confidence at launch: every feature, integration, or AI capability can be validated at scale before it reaches users.
• Faster time-to-market: with orchestrated, crowd-powered testing, we shorten QA cycles without compromising on quality.
• Holistic quality as you grow: from early-stage pilots to global roll-outs, testing capacity scales seamlessly with business needs.

A Strategic Step Forward

Becoming a TAPP partner is more than a certification. It reflects our ongoing commitment to innovation and to helping clients achieve excellence in the experiences they deliver.

As a TAPP partner, we will:

• Embed Testlio-powered testing workflows directly into our delivery frameworks.
• Guide clients on how to leverage TAPP’s global reach and advanced capabilities for their specific risk and compliance requirements.
• Collaborate with Testlio to co-innovate new approaches to testing in areas such as AI fairness, security, and future digital ecosystems.

Redefining What’s Possible

For InnoWave, innovation is not just about creating new solutions — it’s about ensuring they work flawlessly in the real world.

This collaboration with Testlio is another step in our journey to build technology that reimagines what’s possible and delivers lasting impact.

We look forward to helping our clients deliver products and services that are not only innovative but also trusted and loved by users everywhere.

But what exactly is NIS2, why does it matter, and how should companies prepare? Let’s explore.

What is the NIS2 Directive?

The NIS2 Directive (Network and Information Systems Directive) is the European Union’s updated framework for cybersecurity. It replaces the original NIS Directive from 2016, expanding its scope and introducing stricter obligations.

The core goal is simple: to ensure a high common level of cybersecurity across Europe, reducing fragmentation between member states and strengthening collective resilience against cyber threats.

Who is affected by NIS2 in Portugal?

 The scope of NIS2 is broad. It applies to both:

• Essential entities – including energy, transport, health, financial services, water, and digital infrastructure providers
• Important entities – such as postal services, waste management, manufacturing, and food supply

This means that thousands of organizations in Portugal—from enterprises to public institutions—are now required to comply.

Key Requirements of NIS2 

NIS2 introduces strict measures that go beyond IT security, embedding cybersecurity into governance, operations, and strategy. Organizations must:

• Adopt robust technical and organizational measures to prevent, detect, and mitigate cyber incidents
• Report incidents quickly (within 24–72 hours depending on severity) to competent authorities
• Implement supply chain risk management, ensuring vendors and partners also meet cybersecurity standards
• Train leadership and staff, as boards and management are now directly accountable for compliance
• Maintain evidence of security controls and provide documentation during audits

Consequences of Non-Compliance

Failing to comply with NIS2 can have serious consequences:

• Financial penalties – up to €10 million or 2% of global turnover
• Reputational damage – public awareness of breaches and fines can erode trust
• Operational impact – possible suspension of certifications or temporary exclusion from critical activities

Cybersecurity is no longer a “nice-to-have.” Under NIS2, it’s a legal and strategic requirement.

Why NIS2 is an Opportunity, Not Just a Challenge

 While NIS2 may seem daunting, it also brings significant advantages for organizations that act early:

• Enhanced resilience – stronger defenses and faster response reduce the impact of attacks
• Increased trust – customers, partners, and regulators will have greater confidence in secure organizations
• Competitive edge – companies that treat cybersecurity as a differentiator can stand out in their industry

How to Prepare for NIS2: A 3-Step Roadmap

Organizations have 24 months to comply, but the work should begin immediately. A practical roadmap includes:

1. Assess and Plan

• Identify if your organization is classified as essential, important, or relevant public
• Conduct a gap assessment against NIS2 requirements
• Define governance structures and assign responsibilities at the management level

2. Strengthen Defenses

• Implement technical controls such as multi-factor authentication, vulnerability management, and incident response playbooks
• Enhance monitoring with SIEM, EDR/XDR, and SOC services
• Secure your supply chain by embedding cybersecurity clauses into contracts

3. Test, Monitor, Improve

• Conduct regular training and awareness programs
• Perform simulations and tabletop exercises to validate incident response readiness
• Track cybersecurity KPIs and KRIs to demonstrate continuous improvement

How InnoWave Can Help

At InnoWave, we believe NIS2 is more than compliance—it’s a chance to reimagine security as a business enabler.

 We help organizations by:

• Running NIS2 readiness assessments and building tailored roadmaps
• Supporting boards and executives in governance and accountability
• Deploying AI-driven detection and response solutions for faster resilience
• Designing cybersecurity frameworks that balance compliance with innovation

Our mission is to ensure that your organization not only meets regulatory requirements but also turns cybersecurity into a strategic advantage.

The approval of NIS2 in Portugal is a wake-up call for organizations of all sizes. With higher standards, stricter reporting, and stronger accountability, cybersecurity is now firmly on the boardroom agenda.

Those who act early will not only achieve compliance—they will build resilience, strengthen trust, and gain an edge in an increasingly digital economy.

Cybersecurity is now law. With InnoWave, it becomes innovation.

Written by Sergio Sa

In this episode, Gabriele Rachello, our CTO, takes us behind the scenes of innovation at InnoWave. He shares:

• How a culture of innovation is built and nurtured
• The biggest challenges on our horizon — and how we’re tackling them
• How technology can truly impact people’s lives
• His vision for the future of InnoWave

A candid, insightful look into the mind of our CTO, and what drives innovation with purpose.

With thousands of customer queries flooding its support channels daily, many of them simple and repetitive, the telco needed a smarter, more scalable way to assist customers without compromising service quality. The objective was clear: reduce call center pressure and improve customer experience through automation.

Our Solution

We partnered with the provider to design and implement an AI-powered virtual assistant strategy that reimagined their entire support journey. Our approach focused on three key pillars:

1. Smart FAQ Flow Design

We mapped and built dynamic FAQ flows that helped pre-qualify customer intent. By understanding what the user was looking for before the assistant stepped in, we ensured more accurate responses and a streamlined support process from the very first click.

2. Context-Aware Virtual Assistant

Rather than delivering generic responses, the assistant followed smart decision trees based on each user’s path through the FAQ flows. This allowed for highly contextual, personalized interactions, significantly boosting automation success and customer satisfaction.

3. Seamless Human Escalation

When the assistant encountered a complex or unresolved issue, the conversation was escalated to a human agent with full context handover. This ensured continuity, eliminated the need for customers to repeat themselves, and enabled faster issue resolution.

The Results

The impact was immediate and measurable:

• 60% call center deflection: The virtual assistant absorbed the majority of repetitive queries, easing the load on human agents.
• Improved customer satisfaction: Users received faster, more relevant answers, improving the overall support experience.
• Increased operational efficiency: By eliminating repetitive workloads, the support team could focus on high-value interactions.

This success story demonstrates the power of combining smart design with AI to create a scalable, human-centric support model. By focusing on user intent, contextual interaction, and seamless escalation, we helped one of Portugal’s leading telcos turn a cost center into a competitive advantage.