Phased AI Implementation Roadmap
Tags: Frameworks
TL;DR
- Four phases: Discovery → Pilot → Scaling → Optimization, each with concrete tasks, KPIs, and governance requirements.
- Designed to minimize risk and accelerate value capture from AI across creative, media, and analytics.
Why it matters for HK marketers: It turns AI ambition into an execution plan your teams can follow quarter by quarter.
The four phases
Phase 1: Discovery
- Audit needs and consider non-AI fixes.
- Research tools against governance standards; assess impact across departments.
- Decide build vs buy; set up collaboration for faster decisions with compliance.
Phase 2: Pilot
- Start with a controlled use case (e.g., dynamic ad copy).
- Track KPIs (CTR, conversions, engagement) and efficiency gains.
Phase 3: Scaling
- Expand use cases and train teams.
- Establish a single source of truth and tight feedback loops.
Phase 4: Optimization
- Refine processes using performance insights.
- Shorten feedback cycles; deepen workflow integration.
- Stay updated on AI advancements.
So what for marketers
Pick one tractable pilot with clear KPIs, prove lift, then scale horizontally—codifying the learnings into processes and training.
Sources:- IAB_GenerativeAIPlaybook_January_26 (1).pdf
← Back to Knowledge Base