Over the past year, global companies have accelerated their investment in AI—approving budgets and encouraging teams to “integrate AI everywhere.” Yet in practice, many of these initiatives stall before they deliver measurable value.
The same story is unfolding across industries: early momentum fades, projects lose direction, and the promised transformation never materialises. This isn’t because AI doesn’t work. It’s because company-wide AI ambitions often outpace departmental realities.
CEOs set broad, organisation-wide objectives, but the resulting deployments tend to be too generic—aimed at transformation everywhere, yet impactful nowhere. As a result, individual departments are left wanting: the tools don’t fit their workflows, the outputs feel disconnected from their needs, and adoption slows to a crawl.
Without targeted applications, clear ownership, and measurable outcomes, AI remains a showcase project rather than a working capability.
That’s where MYL’s AI Bootcamp bridges the gap—helping organisations turn high-level ambition into focused, functional deployments that deliver measurable value across teams.
Why AI initiatives stall
According to S&P Global Market Intelligence, the proportion of enterprises abandoning AI initiatives increased from 17% in 2024 to 42% in 2025—a clear sign that many organisations still struggle to scale beyond pilot projects.
From financial institutions to hospitality brands, MYL has seen the same pattern: ambitious, top-down AI programmes lose momentum after early experimentation.
The reasons are remarkably consistent:
- Overly broad objectives: AI is deployed to meet company-wide transformation goals rather than solving specific, high-value use cases.
- Generic solutions: Off-the-shelf or one-size-fits-all models fail to meet the needs of specialised departments.
- Fragmented ownership: Teams adopt or abandon tools in isolation, with no unified framework.
- Weak data foundations: Systems and workflows aren’t ready for enterprise-grade AI.
- Limited follow-through: Once the pilot phase ends, ownership fades and priorities shift.
From experimentation to enterprise value
The companies that succeed with AI treat it as a targeted business capability, not a corporate checkbox. MYL helps organisations move from experimentation to execution through a structured framework that aligns AI with measurable, team-level outcomes.
This begins by identifying where AI can make the greatest impact within existing workflows—such as automating multilingual content creation, drafting financial or research reports, or ensuring communications remain consistent across markets and languages.
Each engagement starts with one critical question: Where can AI deliver measurable, repeatable value right now?
How MYL’s AI bootcamp accelerates adoption
MYL’s AI Bootcamp is designed as a fast, structured starting point for enterprises ready to move from pilots to scalable deployment. In just two hours, it provides the clarity and direction needed to transform ideas into a measurable business impact.
1. Rapid assessment
A guided consultation identifies where AI can add immediate value—across content creation, workflow optimisation, and multilingual communication.
2. Architecture and readiness review
MYL’s experts assess data structures, workflow integration, and compliance posture to determine what’s needed for scalability and security.
3. Proof of concept (POC)
A testable prototype is developed within days, showing how AI can streamline processes and deliver quantifiable results.
4. Scalable roadmap
The Bootcamp concludes with a tailored roadmap detailing the next steps—what to automate, how to deploy securely, and how to train teams for sustained success.
Turning stalled projects into scalable success
Across industries, the difference between an AI initiative that stalls and one that scales comes down to focus and fit. The following cases show how MYL helped clients move from generic ambition to operational capability.
United Overseas Bank (UOB)
UOB, one of Asia’s leading banks, needed faster translation of Traditional Chinese financial commentaries into English—often within hours. MYL’s customised AI Translation service, trained on UOB’s historical data, delivered publication-ready quality with minimal post-editing.
The result: Turnaround times dropped to under three hours while costs were halved, giving UOB 24/7 coverage and extending its publishing capacity beyond what its in-house team could achieve.
Kempinski Hotels
Kempinski, the world’s oldest luxury hotel group, wanted a secure, ISO-compliant AI solution to empower 13,000 employees to create brand-consistent content globally. Together, MYL and Kempinski built preset workflows covering key content types—from press releases to social media—supported by an optional human-editing layer.
The result: 750% ROI and brand consistency unmatched by generic AI tools.
From stalled initiatives to scalable impact
MYL’s AI Bootcamp gives your teams the clarity to move from high-level strategy to real-world execution. Define your AI priorities, align your teams, and build measurable impact—all in a single session.