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nextvision.ai · Data · AI · Future

Use AI securely and at scale in your business

Why individual AI tools are not enough – and what businesses need to use AI securely.

Artificial intelligence has already become part of everyday work in many companies. However, without clearly defined use cases, controlled access to data and clearly assigned responsibilities, its value remains limited. What matters is not the next standalone AI tool, but a secure framework in which AI can be introduced gradually and scaled over time.

What businesses need to use AI effectively

In 2025, 19.95% of EU enterprises with at least ten employees were already using AI technologies. At the same time, Eurostat data shows why many businesses remain hesitant: 70.89% cite a lack of relevant expertise, 52.52% unclear legal consequences and 48.83% concerns about data protection and privacy.

These figures are not an argument against AI. Instead, they highlight the conditions businesses need to establish: clear use cases, controlled access to data, defined responsibilities and measurable objectives. The starting point should therefore not be the choice of an individual tool, but the question of which specific workflow can be improved securely and transparently.

Source: Eurostat, „Use of artificial intelligence in enterprises“, Datenstand 2025, aktualisierte Fassung 2026.

From individual AI tools to a shared foundation

Individual AI applications can make initial tasks easier. For long-term use, however, knowledge, data access, processes and responsibilities must be brought together. Only a shared framework makes AI transparent, secure and scalable beyond individual use cases.

How nextvision.ai connects knowledge, data and processes

Employees already use public AI services for research, summaries, drafting and analysis. Without a shared framework, however, this results in separate accounts, unclear data flows and outputs whose sources and quality are difficult to verify.

nextvision.ai brings approved company knowledge, data sources and processes together in a controlled working environment. Access, responsibilities and results remain transparent, while new use cases can be added step by step.

Why nextvision.ai?

Connect data and AI

Business data, data models and AI work together. This enables transparent analyses, informed decisions and actionable recommendations.

End-to-end implementation

From consulting and integration to operation and support, you receive all services from a single provider.

Start modularly and scale

Begin with a specific use case and gradually expand the platform with additional data sources, processes and business units.

From data model to clear analysis

This example shows how nextvision.ai turns a business question into a transparent analysis. The platform uses existing data models, brings together the relevant metrics and presents the results in tables and visualisations. In this way, complex data becomes a clear basis for decision-making.

Six key activities show what nextvision.ai can do

nextvision.ai supports six key activities – from understanding and researching information to analysis and secure implementation in business processes.

Understand documents

Capture content and identify key insights.

Use knowledge

Access approved company knowledge.

Research information

Evaluate internal and external sources.

Talk to your data

Query metrics and identify relationships.

Trigger processes

Turn insights into concrete workflows.

Work securely

Control access and sensitive information.

From pilot project to scalable adoption

AI is being used – but rarely scaled across the entire organisation

88 % report regular use of AI in at least one business function.

31 % have already scaled AI applications.

7 % have fully deployed AI across theri organisation.

These figures show that the decisive step is not the initial use of AI, but the transition from successful applications to robust, scalable workflows.

Source: McKinsey & Company, „The state of AI in 2025: Agents, innovation, and transformation“, November 2025.

A sensible starting point is a clearly defined, recurring process with measurable objectives. Depending on the use case, these may include processing time, response quality, cycle time, error rate or risk reduction. Human review and approval steps remain in place wherever professional responsibility is held and decisions are made.

Once the pilot has proven successful, nextvision.ai can be expanded step by step with additional data sources, work activities and processes. In this way, a specific use case develops into a scalable AI platform for the entire organisation.

What nextvision.ai means for different roles

Management

Align AI investments with business goals, accelerate decision-making and scale successful applications in a controlled way.

Controlling

Analyse key metrics faster, track variances and prepare well-founded reports.

IT

Manage data sources, access, roles and governance centrally and securely.

Business teams

Find information faster, reduce preparation time and initiate processes in a targeted way.

Discover nextvision.ai at a glance

Learn how nextvision.ai connects company knowledge, data and processes – on the product page or in the concise presentation.

Start with a specific use case

Together, we prioritise suitable use cases, clarify data and responsibilities, and develop a clear roadmap for an initial pilot project.