Microsoft Dynamics - Steg.ai Integration and Automation

Common Integration Use Cases Between Microsoft Dynamics and Steg.ai

• Automated product image tagging for sales and catalog operations
  When new product images are added in Microsoft Dynamics-related workflows, Steg.ai can analyze the images and return tags such as product type, color, usage context, or visual attributes. This supports faster catalog creation, improves searchability, and reduces manual metadata entry for sales and merchandising teams. Data flow: Microsoft Dynamics to Steg.ai, then Steg.ai back to Microsoft Dynamics.
• Content protection for customer-facing marketing assets
  Marketing teams using Microsoft Dynamics for campaign planning can send approved digital assets to Steg.ai for image recognition and protection processing. Steg.ai can apply classification and protection rules to prevent unauthorized reuse of sensitive visuals, branded content, or pre-release materials. This helps reduce brand risk and supports controlled asset distribution. Data flow: Microsoft Dynamics to Steg.ai.
• Enriched customer and account records with visual asset intelligence
  For organizations managing customer-specific media, Steg.ai can identify and classify images linked to accounts, projects, or service cases in Microsoft Dynamics. This gives sales and service teams better context when reviewing customer submissions, site photos, or proof-of-delivery images. It improves record quality and speeds up case resolution. Data flow: Steg.ai to Microsoft Dynamics.
• Service case triage using image recognition
  When customers submit photos through service channels connected to Microsoft Dynamics, Steg.ai can detect image content and classify the issue type, such as damaged goods, installation defects, or missing components. The classification can automatically populate case fields in Dynamics, helping service teams route tickets faster and prioritize urgent issues. Data flow: Steg.ai to Microsoft Dynamics.
• Compliance-driven handling of regulated or sensitive imagery
  Businesses in regulated industries can use Steg.ai to identify sensitive visual content before it is stored or shared through Microsoft Dynamics workflows. The integration can flag restricted assets, apply protection labels, and trigger approval steps in Dynamics for legal, compliance, or brand review. This reduces the risk of unauthorized distribution. Data flow: Bi-directional.
• Automated asset classification for field sales and partner portals
  Sales teams and channel partners accessing assets through Microsoft Dynamics can benefit from Steg.ai-generated tags that classify images by product line, campaign, region, or audience. This makes it easier to find the right approved content quickly and ensures teams use current, compliant materials. Data flow: Steg.ai to Microsoft Dynamics.
• Operational reporting on asset usage and content governance
  Microsoft Dynamics can store metadata from Steg.ai about asset classification, protection status, and usage events. Business teams can then report on which assets are most used, which content requires review, and where protection controls are being applied. This supports better governance, content lifecycle management, and operational visibility. Data flow: Steg.ai to Microsoft Dynamics.