4 Phases to Successful AI Adoption
AI productivity isn't the result of a one-time project but an ongoing effort to improve and evolve with your organization's needs.
81% of organizations have integrated GenAI with content management to some degree¹
23% AI adopters report an average cost savings of 23% annually¹
Phase 1: Preparation
Start by establishing your core team and determining objectives and outcomes:
- Role establishment for cross-functional AI strategy team
- Objective definition
- Outcome determination
Phase 2: Assessment
Enhanced collaboration (42%), improved customer experience (34%), and faster content creation/personalization (32%) are the top anticipated benefits from adopting AI content management.¹
42% Enhanced collaboration
34% Improved customer experience
32% Faster content creation/personalization
Assess your current content landscape and AI readiness to build the best foundation for AI adoption:
- Current content management audit
- Workflow inefficiency identification
- AI readiness evaluation
- Targeted approach
Phase 3: Pilot implementation
Data/Analytics (60%), Finance/Accounting/Procurement (53%), Customer service (43%), and HR (38%) are the most common focus areas for AI-enhanced content management.¹
60% Data/Analytics
53% Finance/Accounting/Procurement
43% Customer service
38% HR
Test and refine your approach to AI-powered content management in a controlled environment:
- Free trial
- Controlled AI feature rollout
- Department-specific use cases
- Specialized discovery workshops
Phase 4: Enterprise-wide deployment
Lack of internal expertise (63%) and security/privacy concerns (60%)¹ are the most cited barriers to implementing AI content management.
63% Lack of internal expertise
60% Security/privacy concerns
Once successful pilots are completed, it's time to scale AI-powered content management across the enterprise:
- Comprehensive training
- Continuous optimization
- Risk mitigation
Get the AI productivity playbook to plan a path forward
