SightCall launches expert app and knowledge APIs for field service AI

SightCall on Oct. 1 unveiled a new Expert App plus generally available Xpert Knowledge APIs and MCP interfaces to help service teams capture field expertise and feed it into technician workflows and enterprise AI. The launch targets a common service problem: critical know-how often sits with a few experienced workers and is not documented well enough to scale.

Why it matters: - Field service organizations often depend on a small number of experts, which makes onboarding slower and escalations more common. - SightCall is aiming to turn field know-how into a trusted knowledge layer for both technicians and enterprise AI systems. - The goal is to reduce repeated problem-solving, improve consistency, and make expertise available at the point of work.

What happened: - SightCall announced the SightCall Expert App and the general availability of Xpert Knowledge APIs and Model Context Protocol interfaces. - The launch extends service knowledge into enterprise workflows and AI systems. - The announcement was made Oct. 1, 2026. - The company positioned the products as tools for capturing “tribal knowledge” from experienced technicians and subject-matter experts.

The details: - Xpert Knowledge captures expertise from field work, demonstrations and training. - The system transforms video into structured guidance. - Experts review and approve the guidance before it is shared with technicians, applications or AI systems. - The SightCall Expert App gives field service engineers access to organizational expertise at the point of work. - Technicians can ask questions by text or voice. - Technicians can show the AI Expert what they see through live visual input. - Technicians can access step-by-step guidance. - Technicians can contribute new expertise. - Reviewed knowledge can also be available offline. - Xpert Knowledge APIs and MCP interfaces connect trusted service knowledge to enterprise applications, workflows and AI agents. - SightCall said the app and knowledge layer create a continuous loop in which expertise is captured, structured by AI, validated by experts and made available wherever people or AI need it. - The company said the knowledge base improves as new expertise is contributed. - The SightCall Expert App is available now. - Xpert Knowledge APIs and MCP interfaces are generally available. - A demo library is available at the SightCall Demo Library.

Between the lines: - SightCall is addressing a broader enterprise AI problem: models are only useful when they have the right organizational context and governance. - In physical service, that context comes from what experts see, demonstrate and explain, not just from written documents. - The product set is designed to make expert judgment reusable without removing human review from the process. - A Service Council poll cited by SightCall found 100% of service leaders reported moderate or high dependence on a few experts, 82% said technician proficiency takes six months or longer, and half cited lack of bandwidth or motivation as the biggest barrier to capturing knowledge.

What's next: - Service teams can begin using the Expert App immediately. - Enterprises can connect Xpert Knowledge through APIs and MCP interfaces to workflows and AI agents. - SightCall is likely to push more field-captured expertise into structured, reusable knowledge as customers adopt the platform. - Continued adoption will depend on how well organizations validate expert input and integrate it into daily service operations.

The bottom line: - SightCall is trying to make field expertise searchable, trusted and usable across both technician workflows and enterprise AI.