Does your organization own its expertise,
or just employ the people who have it?
Capturing and Scaling Tribal Knowledge with Video Intelligence
Your service teams create valuable knowledge every day. The challenge is capturing the judgment, techniques and lessons behind the work, then making them available to everyone who needs them.
David Swift of SightCall and John Tocado of JLG explore how video, images and AI can help service organizations capture that expertise, turn it into trusted knowledge, and get it into the hands of the next technician who needs it.
David Swift
VP of Product Marketing, SightCall
John Tocado
Principal Analyst-Systems Development, JLG
Resource Downloads
WORKSHOP SLIDES
Capturing and Scaling Tribal Knowledge with Video Intelligence
Explore how service organizations can use video and AI to capture expertise as work happens and turn it into trusted knowledge for the entire team.
ARTICLE
Building a Knowledge Spine - John Tocado
Voice-to-text, debriefs, and AI-ready knowledge bases that actually get used ‐ and how field service organizations turn many sources of truth into one validated trunk.
ARTICLE
Seeing is Not Knowing - John Tocado
Visual AI's real product in service is not the diagnosis. It is that, for the first time, capturing what a technician saw and did costs the technician nothing.The diagnosis is the demo. The capture is the asset...
RESEARCH INSIGHT
Unlocking the Hidden Value of Video Support for Your Service Efficiency Strategy
Applying artificial intelligence to the video capture of live service interactions offers a scalable way to validate, preserve, and curate tribal knowledge so that it’s strategically deployed inside the business process.
PODCAST
5 Takeaways on Turning Service Expertise into Scalable AI Knowledge
How visual AI and video can help service organizations capture the expertise that rarely makes it into manuals or knowledge bases, then turn it into something the broader workforce can use.
RESEARCH REPORT
Beyond Tribal Knowledge: Building Scalable Service in an Era of Workforce Transformation
Insights and summary of a Service Council IdeaShare session with service leaders, hosted by SightCall.
ARTICLE
Data Architecture Is Necessary. Knowledge Architecture Is the Next Step.
Enterprise AI still needs a strong data foundation. It needs access to the right information, clear permissions, reliable sources and the ability to work across systems.
WEBINAR REPLAY
How to Capture and Scale Service Expertise (Without Adding Overhead)
Why AI falls short, and how organizations use video to capture expertise, accelerate onboarding, and scale knowledge.
WHITE PAPER
Why AI Fails in Field Service: The Blind Spot No One Talks About
AI alone can’t close the gap, because it’s starving for the real-world expertise that never makes it into manuals.
