In large enterprise environments, multiple solution teams often need similar capabilities—like language translation—within Dynamics 365. Handling these requirements in silos leads to duplication, inconsistent patterns, and governance challenges.
To address this, we explored an approach to host translation as a platform service, enabling all solution teams to consume it through a standardized integration pattern.
🧩 Architecture Overview
Power Automate acts as the orchestration layer, triggering on CRM events (e.g., case creation via Dataverse).
It invokes an Azure Function App via HTTP, which processes the payload and calls a Gen AI-powered translation service. The translated response is returned to Power Automate, which updates Dynamics 365 or other downstream systems.
🔁 Flow Breakdown
Trigger: Dynamics 365 event via Dataverse.
Power Automate: Sends HTTP request to Azure Function.
Azure Function:
i. Processes payload
ii. Calls AI translation service
iii. Returns structured JSON response
Power Automate: Parses response and updates CRM records or triggers additional flows.
Consumption: Multiple teams can use this service via a standardized connector.
🔐 Security & Governance
Azure AD authentication for secure access
Telemetry & error handling for traceability
Designed for reusability, scalability, and compliance
Why This Approach?
✅ Standardization: One reusable integration pattern for all teams
✅ Scalability: Centralized service for growing translation needs
✅ Governance: Unified authentication and compliance controls
✅ Faster Delivery: Teams consume via Power Automate without reinventing the wheel
This pattern can be extended for other shared capabilities like sentiment analysis, document summarization, or data enrichment—making the platform a true enabler for solution teams.
💡 Curious to know: How are you handling shared AI services in your Dynamics 365 or CRM environments?
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