Whitepaper: Drive measurable AI success
Capturing value from AI’s big promises is hard. This guide shows you a better way to get results.
Realizing AI's full potential demands a holistic approach – technical, procedural and cultural changes – with a focus on small, achievable steps for a successful journey from idea to impact.
Download to find:
Why organizations struggle to capture AI’s full potential and the key components for AI success, including core technical capabilities, governing practices and structures, and organizational and cultural characteristics.
Practical steps and considerations for successful AI adoption.
Real-world examples of successful AI implementation and the outcomes delivered.
Three pillars for AI success
Our framework focuses on three key dimensions to build your organization’s AI readiness.
1. Core technical capabilities: The core technologies and infrastructure, including AI-powered products, platforms and the data that underpin them.
2. Governing practices and structures: Operational changes that allow teams to focus on high-value initiatives and responsibly use AI.
3. Organizational and cultural characteristics: Behaviors that accelerate the value of AI-enabled work, including lean processes, human-centered experiences and more.
Amplify your impact with AI
Results we've achieved with our clients.
1 million users onboarded to a new AI-powered digital service in just 100 days for a leading loyalty program in Singapore.
20% improvement in customer satisfaction delivered through the creation of new AI assistants at a leading bank.
$15M+ in cost reductions delivered for a major international airline.
75% increase in operational efficiency at a pharmaceutical company.
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