Architecting domain-specific agents for OEM field service

A technical guide to architecting the perfect field service stack.

The global energy industry is hitting a capacity wall, and "we already have AI in our CRM" might be the wrong answer. Many OEMs assume their existing CRM's native AI layer can handle technical troubleshooting out of the box. However, real-world implementations reveal that while CRMs are perfect for orchestration and governance, they lack the specialized domain ontology needed to interpret error codes, safety constraints, and model variations safely. This technical briefing explores:

• The DIY Trap: Why rebuilding vertical AI inside a generic CRM layer is resource-intensive and rarely works.
• The Architecture of Success: How to decouple "workflow" from "reasoning" by combining Salesforce (or similar) with a dedicated technical intelligence layer.
• Hybrid Advantage: Why a combined architecture delivers the lowest operational risk and fastest time-to-production for field service teams.

Download the full report to evaluate the three architectural patterns available to OEMs today and determine the right path for your organization.