See the AI landscape clearly. Prioritize what matters. Act with purpose.
Why the AI Opportunity Map Matters:
The AI Opportunity map helps publishers cut through the noise and focus on real value-driven initiatives.
AI is everywhere in publishing conversations — but not every opportunity carries the same business value, and not every capability is mature enough to be a priority. Boards and leaders want to understand what AI means for the future and how it can create transformative value. Staff want clarity on what’s practical today — where AI can solve pain points and deliver measurable benefits. Both share a desire to understand what AI really means for their organization, and where to focus.
That’s why we created the AI Opportunity Map: a structured way to see the landscape, identify and prioritize the right opportunities, and take the next steps strategically.
The AI Opportunity Map is not a wish list. It is a decision tool that shows where AI investments can deliver business value. It ensures AI investments are strategic, practical, and aligned with business goals, organizational readiness, and real-world maturity.
AI Opportunity Map Focuses on:
Our AI Opportunity Map focuses on the key components of the publishing workflow:
- Editorial Workflows: AI is transforming upstream publishing activities — from submission triage and research integrity checks to peer review support and policy compliance. AI tools can support decision-making, streamline reviewer selection, save time, and make the process easier and more supportive for authors.
- Audience, Customer, and Content Intelligence: AI helps organizations better understand their audiences and how they engage with products and content. This insight is foundational for smarter personalization, more effective marketing, and stronger decision-making. In addition, well-structured content creates the foundation for new AI-driven monetization opportunities.
- Production and Delivery: AI supports downstream processes that determine how content is produced, discovered, and experienced — from automated production and accessible formats to smart search, AI-generated summaries, and personalized researcher tools. AI is enhancing discovery and accessibility and is supporting more engaging experiences for readers.
- Engagement and Outreach: Marketing is one of the areas most transformed by AI. AI helps teams make smarter decisions and strengthen the foundations of modern marketing — brand, audience engagement, and customer experience. At the same time, AI helps automate tasks, freeing staff to focus on higher-value work.
AI Opportunity Map Approach:
Our AI Opportunity Map process has two stages:
Stage 1: Compass (Orientation)
A clear-eyed view of where you are and what matters most.
- We start by listening — capturing your priorities and how your organization is already engaging (or experimenting) with AI.
- We anchor the discussion in our comprehensive AI use case library spanning peer review, publishing, discovery, marketing, and more.
- We gauge your current AI maturity — giving a clear view of how much AI adoption is happening within your organization today.
- We connect use cases to their maturity and business value, highlighting what’s already proven in publishing, what’s emerging in other industries, and what’s early or untested. Together, we prioritize where to focus.
Stage 2: Blueprint (Design)
From priorities to practical paths forward.
- We take the priorities identified in the Compass stage and map them to solutions and implementation pathways.
- We draw on our library of AI tools and case studies to show what’s working in practice.
- We identify AI capabilities already in (or coming to) platforms, submission and peer review systems, and MarTech — connecting opportunities to your technology roadmap.
- We explore ways to test and validate what users really need, avoiding wasted effort on AI “bells and whistles” that don’t really add value.