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AI Adoption: The Numbers Speak

Data-driven insights from leading research institutions and Fortune 500 companies

40%
Productivity Increase

Performance boost for highly skilled workers using GenAI

MIT Sloan
3.7x
Return on Investment

ROI per dollar spent on GenAI implementation

Microsoft-IDC
18%
Quality Enhancement

Improvement in output quality with AI assistance

MIT Sloan
75%
Enterprise Adoption

Organizations using AI in 2024 (up from 55% in 2023)

Microsoft IDC
30%
Skills Gap Challenge

Organizations lack specialized AI skills in-house

Microsoft IDC
92%
Productivity Focus

AI users leverage technology primarily for productivity improvements

Microsoft-IDC
Goldman Sachs AI Research
Research Sources:
• MIT Sloan Management Review - "How Generative AI Can Boost Highly Skilled Workers' Productivity"
• Microsoft-sponsored IDC Report 2025 - "Generative AI Delivering Substantial ROI"
• Goldman Sachs Research - "How Will AI Affect the Global Workforce"

What Does This Mean for Your Company?

The data is clear: companies that have not yet defined a roadmap for AI adoption are already falling competitively behind. In a rapidly evolving market, this inertia can become a fatal strategic risk. Don't get left behind.

AI Adoption Challenges? We Have Solutions.

Based on market research and our proven experience, we address every barrier to successful AI implementation

Limited Internal Expertise / Knowledge Gap

Market Insight:
Many SMEs lack internal AI expertise at both management and operational levels; they struggle to choose tools or use cases and have little direct experience.

Source: MDPI, Strategic AI adoption in SMEs

Our Mitigation Strategy

We offer an end-to-end training path: board workshops + team training, coaching with external experts, and hands-on mentoring on use cases. In parallel, we develop a "custom AI roadmap" to help the company identify where to invest first, who to train, and how to progressively grow skills.

Source: MDPI, Strategic AI adoption in SMEs

Output Quality & Reliability / Bias / Scarce or Unstructured Data

Market Insight:
Current analyses show that data is often incomplete, poorly structured, and siloed; AI outputs are not always reliable or interpretable; bias and accuracy issues erode trust.

Source: MDPI; “Barriers to Adopting AI Technology in SMEs” in Nordic studies

Our Mitigation Strategy

We conduct a Corporate Assessment: auditing existing data, analyzing quality, structure, and cleanliness; identifying and removing silos; defining policies for bias detection and validation frameworks. We provide interpretable models or dashboards that show accuracy metrics, making AI output transparent and understandable.

Source: MDPI; “Barriers to Adopting AI Technology in SMEs” in Nordic studies

Data Structure Limitations / Legacy IT Infrastructure

Market Insight:
In many SMEs, existing systems do not communicate with each other, leading to data silos, incompatible or obsolete infrastructure, and a lack of interoperability. These technical barriers make it difficult to integrate new AI tools.

Source: MDPI; Nordic studies

Our Mitigation Strategy

We offer a Low-Code and Open Source technology integration service: auditing the IT infrastructure, designing APIs/microservices to connect legacy systems, developing a modular architecture, and using cloud/hybrid solutions when needed. We can support you in upgrading systems to ensure every new AI tool can easily "talk" to existing data and processes.

Source: MDPI; Nordic studies

Cost / Limited Financial Resources

Market Insight:
The cost of licenses, infrastructure, and specialized personnel is perceived as high; many SMEs state they cannot afford significant investments in AI.

Source: Strategic AI adoption in SMEs; MDPI survey

Our Mitigation Strategy

We propose phased implementation models ("pilot phase," "proof-of-concept") to limit initial spending, with measurable results. We explore partnerships with suppliers, use of low-cost SaaS solutions, and no-code/low-code where possible. Through our Il Sole 24 Ore Business Partner network, we can access trusted partners specializing in hybrid and subsidized finance for AI adoption.

Source: Strategic AI adoption in SMEs; MDPI survey

Cultural Resistance to Change / Distrust / Risk Perception

Market Insight:
Market research shows that employees may be fearful (job loss, errors, not understanding how to use AI), and management may be skeptical; lack of trust reduces adoption.

Source: Nordic SMEs; MDPI

Our Mitigation Strategy

We work with teams on Change Management: internal communication workshops to explain what AI will do, its real benefits, and "safe" pilot cases with visible impact. We create internal champions who use AI and testify to its value, incentivize (even symbolically) those who experiment, and hold feedback sessions to listen to fears and adapt the model.

Source: Nordic SMEs; MDPI

Lack of Clear Business Case / ROI Metrics / Scalability

Market Insight:
Initiatives often remain isolated, lacking clear metrics to demonstrate return on investment; there is poor planning to scale from a pilot to a company-wide system.

Source: MDPI; Strategic Prescriptive Framework

Our Mitigation Strategy

We help define specific KPI metrics before the project: time saved, error frequency, internal/customer satisfaction, costs avoided, and revenue increase where applicable. We design a roadmap that includes scaling steps: when and how to move from pilot solutions to company-wide deployment, with cost/benefit estimates for each phase.

Source: MDPI; Strategic Prescriptive Framework

Technical Complexity / Obsolescence / Evolving Tools

Market Insight:
AI technologies evolve rapidly; different tools, new versions; risk that currently chosen solutions become obsolete or that the company falls behind.

Source: Strategic AI adoption in SMEs

Our Mitigation Strategy

We propose continuous technology monitoring: periodic "tech watch" sessions, software updates, choosing architectures that allow for upgrades, and using models and suppliers with a clear roadmap. We offer maintenance and continuous update packages as part of the service.

Source: Strategic AI adoption in SMEs

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