Diagnostic
Content Value Chain Diagnostic
A structured assessment of how knowledge becomes content inside your organization, where the system breaks, and what must change before AI can scale safely.
Discuss a diagnosticSchedule a 30 minute call using Calendly
Who it is for
Senior leaders accountable for the system
Content strategy, content operations, marketing transformation, and AI adoption leaders at organizations where content volume is scaling faster than governance.
Symptoms it diagnoses
- Inconsistent expression of the same idea across teams
- Content that no longer reflects current reality
- AI pilots that accelerate tasks without improving outcomes
- Unauditable personalization and variant sprawl
- Disconnected DAM, CMS, and AI tools without shared signal
- Governance policies that the system cannot enforce
What is assessed
- Content ecosystem and value flow
- Knowledge sources and structure
- Workflow, ownership, and handoffs
- Governance, brand, and compliance enforcement
- DAM, CMS, and martech architecture
- AI execution, agents, and human/AI boundaries
- Activation, measurement, and learning loops
Deliverables
- Content ecosystem map
- Failure modes analysis
- Governance and ownership gap analysis
- Content lifecycle and drift risk assessment
- Technology and workflow review
- AI-readiness score
- Prioritized 30/60/90-day roadmap
Process
- Scoping conversation with the executive sponsor
- Structured interviews across content, marketing, AI, and tech leadership
- Artefact and system review
- Synthesis using the Content Value Chain framework
- Findings session and roadmap workshop
Outcomes
- A shared, evidence-based view of where the content system breaks
- A defensible roadmap for governance, infrastructure, and AI readiness
- Clear decision domains for what humans and AI should each own
- A baseline for measuring the impact of change
Ready to assess your Content Value Chain?
Discuss a diagnosticSchedule a 30 minute call using Calendly