Why AI matters at this scale

FamilySearch, operated by The Church of Jesus Christ of Latter-day Saints, is the world's largest genealogical organization. It provides free access to a vast repository of historical records, family trees, and research tools, aiming to connect people to their ancestry. With over a century of operation, it manages billions of records and facilitates a global community of volunteers and users. For an organization of its size (1,001-5,000 employees), the core challenge is one of immense scale: manually processing, indexing, and linking an ever-growing ocean of historical documents is prohibitively slow and expensive. AI is not a luxury but a strategic necessity to accelerate its mission exponentially, transforming a process that once took generations of scholarly work into one that can deliver discoveries in real-time.

Concrete AI Opportunities with ROI Framing

1. Automated Record Indexing: The highest-ROI opportunity lies in deploying Handwriting Text Recognition (HTR) AI to transcribe billions of handwritten documents. Current manual indexing by volunteers is the primary bottleneck. An AI system that achieves 95%+ accuracy could reduce indexing time by over 70%, allowing the organization to unlock record collections decades faster. The ROI is measured in massive operational cost avoidance and the accelerated fulfillment of its core charitable mission, directly increasing user engagement and satisfaction.

2. Intelligent Family Tree Hints: Using entity resolution and relationship inference AI, FamilySearch can automatically generate high-confidence 'hints' connecting individuals across disparate records. This moves the platform from a passive archive to an active research assistant. The ROI is clear: it drastically reduces the time users spend on 'brick wall' problems, increasing platform utility, user retention, and the overall density and accuracy of the global shared family tree, which is its most valuable network asset.

3. AI-Powered Volunteer Coordination: AI can optimize the global volunteer workforce by intelligently routing tasks. It can identify records needing human review, match task complexity to volunteer skill level, and provide real-time assistance. This boosts volunteer productivity and satisfaction, a critical ROI for a non-profit reliant on donated labor. It ensures the most valuable human attention is applied where AI is weakest, creating a sustainable, hybrid human-AI workflow.

Deployment Risks Specific to this Size Band

As a large non-profit, FamilySearch faces unique risks. Budget Prioritization: Competing AI investments against other mission-critical IT and archival projects requires strong, quantifiable proof of concept to secure funding. Technical Debt & Integration: At this scale, integrating new AI capabilities into legacy systems and petabytes of existing data infrastructure is a monumental engineering challenge that must be managed incrementally. Change Management: Shifting long-established workflows for thousands of volunteers and staff requires careful communication and training to ensure adoption and mitigate resistance, emphasizing AI as an augmentative tool, not a replacement. Finally, Ethical & Accuracy Risks are paramount; any systemic error in AI-generated data could undermine a century of trusted scholarship, necessitating robust human oversight layers.