The AI Adoption Gap: Strategies, Success Stories & Emerging Risks
msg global solutions
We deliver and develop solutions that enhance business performance and decision-making capabilities.
AI is at the core of exciting developments, opening new business opportunities. But here's the thing — a lot of businesses are still lagging when it comes to adopting AI beyond PoCs. This challenge is especially clear with some of our clients who are working on their AI strategy: they aim to find where in their business AI can be integrated to create genuine value for their employees beyond generic knowledge management use cases, but struggle with trusting AI insights, accessing key data, and choosing the right analytics for sound decisions, and ultimately measuring ROI and feasibility.
That’s why we at msg global have built a team of AI experts. This newsletter aims to make AI adoption easier and more effective for businesses everywhere.
Let’s jump right in!
In this month’s newsletter:
AI Project on the Spotlight: From Tachograph Data to a Proprietary Risk Score with Predict
In partnership with Predict, we’ve developed a next-generation proprietary risk score for commercial fleets — turning raw driving data into actionable insurance insights.
The system ingests data from the tachograph (mandatory in European commercial vehicles) as well as detailed driver behavior records. Thanks to this data, we extract eight actuarial indicators with proven predictive power on expected losses. These are then distilled into a simple, intuitive score that insurers, telematics providers, and fleet managers can all use.
The result is a true win-win-win:
Together, these outcomes translate into healthier portfolios and enhanced profitability across the ecosystem.
💡 Key Takeaway: By leveraging data already being collected, Predict and msg global solutions are delivering a risk score that creates measurable value for every stakeholder in the fleet insurance chain. Contact us at ai@msg-global.com
Crossing the GenAI Divide: Why Workflow Integration Wins
A recent State of AI in Business 2025 report confirms what we also see in our client work: the winners in the AI race are not those with the flashiest demos, but those embedding AI deeply into industry workflows.
The report highlights a widening “GenAI Divide.”
Executives make it clear what they want:
This validates our own approach at msg global:
The lesson is clear: Big Tech may dominate foundation models, but they lack industry fluency and embedded presence to deliver true business value. The companies crossing the divide are the ones that customize aggressively, align with real-world pain points, and scale from workflow edges into core processes.
💡 Key Takeaway: The future of AI in business will be won by those who integrate AI into the flow of work. Domain knowledge, feedback loops, and partnerships matter more than generic scale. msg global is already positioned on the right side of the divide.
Tokio Marine and OpenAI: Redefining Insurance with Agentic AI
In late September, Tokio Marine Holdings — Japan’s largest property & casualty insurer — announced a strategic partnership with OpenAI to build AI agents for insurance operations. Unlike past experiments focused mainly on automation, this initiative targets frontline business functions:
This marks a shift in how insurers approach AI. Instead of using it only for risk scoring or claims, Tokio Marine is embedding agentic AI directly into the customer and product lifecycle.
💡 Key Takeaway: Tokio Marine’s bet on AI agents reflects where the industry is heading: AI that is integrated into workflows, customer-facing, and context-aware.
AI in the Crosshairs: The Rise of Zero-Day AI Cyberattacks
September 2025 saw heightened warnings about a new cybersecurity frontier: AI-powered zero-day attacks. Unlike traditional exploits that target known vulnerabilities, these attacks leverage autonomous AI agents capable of discovering novel weaknesses and crafting personalized, adaptive exploits in real time.
Security experts are concerned that as AI becomes more agentic, malicious actors could weaponize models to:
These risks have already prompted calls for “AI-native security”: tools that can detect, audit, and counteract adversarial AI systems before they cause systemic damage.
For enterprises, this means security strategy must evolve beyond firewalls and monitoring. Risk management now requires AI governance, anomaly detection at the model level, and scenario planning for adversarial AI.
💡 Key Takeaway: Just as organizations embed AI into workflows, they must also embed AI into their security posture. Zero-day AI attacks are not theoretical: preparing today is the only way to stay resilient tomorrow.
Disney vs. Character.AI: The Next Big IP Battle in Generative AI
The uneasy relationship between entertainment companies and AI startups reached a breaking point last month. Disney issued a cease-and-desist letter, demanding that Character.AI stop improperly using Mickey Mouse, Marvel heroes, Star Wars characters, and other IP assets.
For Disney, this isn’t just about copyright; it’s about brand integrity. Character.AI allows users to interact with conversational agents mimicking well-known personas, from classic films to modern franchises. Disney argues that unauthorized use blurs ownership lines and risks reputational damage if these bots produce offensive or misleading content.
Charakter.AI has now complied, removing all Disney characters from its platform following the request.
This episode is more than a one-off dispute; it's a signal of what’s coming: compliance and monitoring systems will need to be embedded from the start, shifting liability dynamics in the AI industry.
💡 Key Takeaway: The removal of Disney characters from Character.AI shows that IP enforcement in generative AI is entering a new, proactive era. For AI platforms, respecting copyrights and building strong governance just became the foundation for long-term survival.