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Why is AI adoption booming, yet success rates are below 50%?

Integrating AI into business operations is no longer a question of “if” but “when.” According to McKinsey’s 2023 Global AI Survey, 72% of respondents reported using AI, with adoption rates exceeding two-thirds in most regions worldwide.

However, a report from IDC shows that over 50% of on-site AI projects fail to meet expectations. So, what’s causing these failures?

AI Implementation Challenges Illustration

Top 5 Reasons AI Projects Fail

  • #1 Lack of a clear plan
    and concrete goals
  • Insufficient data or
    poor model quality
  • Misidentified use cases
  • Inadequate employee training
  • Weak monitoring and evaluation

Tailored AI Solutions Designed to Last

Are you overwhelmed by the challenges of implementing AI?

Let Leda take the guesswork out of the equation. Our Center of Excellence (CoE), staffed by AI experts, provides a thorough evaluation of your operations and helps design an AI strategy that reduces costs, boosts productivity, and ensures alignment with your business goals.

  • Not sure where to start with AI?
  • Struggling to define clear implementation goals?
  • Looking for an AI system that evolves and lasts?
AI Workflow Process

Leda CoE AI Implementation Process

STEP01
Step 1
Vision Alignment
AI Knowledge Training

Training Topics

・AI trends and applications
・Building business value
・Maximizing team productivity
・AI governance and compliance

STEP02
Step 2
Operational Assessment

We evaluate current workflows, identify bottlenecks, and determine areas where AI can have the most impact.

STEP03
Step 3
Customized AI Roadmap

We craft a tailored strategy that aligns with your business objectives, including timelines, budgets, and success metrics.

STEP04
Step 4
Implementation and Monitoring

We assist in deploying the AI solution, training your team, and establishing monitoring protocols for long-term success.

STEP05
Step 5
Continuous Optimization

AI is a journey, not a destination. We provide ongoing support to refine models, enhance performance, and ensure sustained value.