AI for Development & IT

Background

AI has shifted software development economics. Teams using AI effectively gain up to 5x productivity. If you are not seeing marked improvements yet, you risk falling behind faster players.

Purpose

Help development teams fully leverage AI: automate routine code, accelerate prototyping, free time for architecture, quality and innovation.

Content

• AI as developer: Automating up to 80% routine tasks.
• Rapid prototyping: From idea to proof-of-concept quickly.
• Process integration: Embedding AI into existing toolchains.
• Risk & quality: Safeguards for robustness and governance.

Process

1. Assessment: Map current workflow & AI usage.
2. Workshop: 2 days of examples, exercises and pairing.
3. Follow-up: Report with recommendations & productivity roadmap.

Outcomes

• Clarity on current maturity.
• Practical methods for acceleration.
• Co-built proof-of-concept.
• Strategic guidance for AI adoption.