How AI changes digital innovation?

AI is reshaping how we interact with data, creating a need for more advanced, intuitive interfaces. Traditional tools like Excel, which 88% of companies still rely on, are no longer sufficient for handling the vast amounts of data modern businesses process daily. Instead, we need systems designed for real-time data processing and automation, enabling faster, more efficient decision-making. AI-driven platforms allow businesses to work smarter, minimizing manual input and maximizing insights derived from complex data sets. These platforms are expected to increase efficiency by 40% for companies that adopt them.

If we change the way we interact with tools, we must also change how we approach digital transformation. No longer should businesses rely on 10 separate products with $500,000 implementation costs each; instead, a single, secure data pipeline consolidating all company information can reduce costs by up to 70%. Different chat interfaces can provide secure, department-specific access, allowing better data management and collaboration. This shift represents a true transformation — fewer user interfaces and more “brainpower” driving the company forward.

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Digital Products 2.0

The next wave of digital products, what we can call Digital Products 2.0, is focused on simplifying how businesses interact with technology by moving away from complex user interfaces and focusing on intelligent, data-driven tools. Rather than relying on the traditional approach of building multiple dashboards and software platforms, companies are adopting chat-based interfaces that provide instant access to data and generate insights on demand. These chats integrate deeply with your data sources and allow users to request specific charts or reports whenever needed, streamlining the workflow and minimizing the need for navigating different tools.

For example, instead of developing a new CRM with a complex interface, companies will deploy an intelligent middle layer that integrates with existing CRMs. This layer won’t just organize data but will analyze it, providing precise predictions and actionable insights tailored to your business. This shift reduces the need for large-scale software overhauls and focuses on using AI and automation to enhance existing systems.

Key Features of Digital Products 2.0:

• Chat-based Interfaces: No more complicated dashboards—just ask for the data or charts you need when you need them.

• Data on Demand: Users can generate visualizations or reports instantly via chat, improving speed and accessibility.

• Intelligent Middle Layers: Instead of replacing core systems like CRMs, these layers enhance them, offering predictive analytics and deeper insights.

• Smarter Predictions: By understanding your existing data, the middle layer can offer more precise and actionable forecasts without changing the underlying system.

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How to prepare for it? 

To embrace Digital Products 2.0, businesses must begin by revisiting each department and laying down the foundation for transformation. This starts with enabling your teams to study and understand new AI technologies in a secure, structured way. It’s crucial to detach from the old methods of doing things and empower employees with the skills and knowledge they need to leverage AI effectively. Building a culture that embraces innovation and continuous learning is essential.

In addition, it’s wise to consult with professionals who specialize in research and development (R&D) and have experience implementing cutting-edge strategies. These experts can guide you in adopting AI and automation, ensuring your business is prepared to operate at the forefront of digital transformation. By working with those who are pushing the boundaries, you can ensure that your transformation strategies are not just relevant today but future-proof for the long run.

Every leader must try himself AI tools in secure way to drive innovation from inside. AI transformation impossible without understanding.
‍Mikki Kobvel, Managing Tech Partner at Kanso Code

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Key Takeaways:

• AI is reshaping digital innovation: Businesses must move away from traditional tools and embrace more data-driven, intelligent interfaces.

• Less focus on dashboards, more on dynamic data access: The future is chat-based interfaces that allow users to access data and generate charts or reports on demand.

• Middle-layer intelligence: Instead of replacing systems like CRMs, AI-powered middle layers will enhance and provide better predictions and insights.

• Prepare for transformation: Revisit every department, enable staff to learn AI technologies securely, and detach from old methods.

• Consult with R&D professionals: Collaborate with experts on the cutting edge to implement innovative strategies and drive AI adoption.

• Leadership must engage with AI: Every leader should personally explore AI tools to understand their potential and lead the transformation from within.

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