Product information "Google Vertex AI"
The Google Vertex AI Integration brings the power of enterprise-grade large language models into your UAC workflows, enabling intelligent automation that can understand, generate, and transform content. By connecting your automation workflows to Google-hosted AI models, you can build solutions that combine the reliability and orchestration capabilities of UAC with the reasoning and language capabilities of modern LLMs.
This integration opens up a wide range of automation possibilities: from analyzing logs and generating human-readable summaries of complex system states, to intelligently routing and classifying data, transforming unstructured information into structured formats, or even making context-aware decisions within your workflows. Prompts can be enriched by files or UAC Variables and outputs can be persisted for reuse across multiple tasks and workflows—enabling you to chain AI operations together or share insights across your automation ecosystem.
Key Features
- Works with Chat Completions API for comprehensive LLM interaction patterns.
- Platform-flexible design supporting MaaS models from different providers.
- Enrich prompts with data from files and UAC Variables, and save outputs for use throughout your automation ecosystem.
- Structured output support with JSON schemas for predictable, machine-consumable responses on models that support this capability.
- Provides "Advanced Options" to tinker the behavior of the selected model, like increasing the determinism of the response, penalizing repetition and others.
| Extension Name: | ue-gcp-vertexai |
|---|---|
| Universal Template Name: | Google Vertex AI |
| Vendor Product: | Google Vertex AI |
| Version: | 1.0.0 |
| Vendor: | |
| Compatibility : | UC/UA 7.9 and above |
| Support: | Stonebranch Certified |
Google Vertex AI Integration
Use Case 1: Email Classification, Output Transformation & Automated Incident Creation on ServiceNow
Description
This workflow uses Google Vertex AI to analyze incoming emails and send them to the right process. The Email Monitor integration watches a mailbox and creates a Universal Event for each new message, triggering a UAC Workflow. Google Vertex AI UAC Tasks then classify the email as a purchase request, an infrastructure IT issue, or an undefined case that needs human review.
If the email is an infrastructure IT request, another Google Vertex AI Task converts the email content into structured JSON, which the ServiceNow Incident integration uses to automatically create an Incident. This demonstrates end-to-end branching and data transformation in UAC powered by Google Vertex AI.
Business Value
- Reduce manual triage effort or the creation of complex automation flows by using AI to classify high volumes of unstructured email requests into clear categories and routing them automatically.
- Improve response times for infrastructure incidents by creating ServiceNow tickets directly from emails, including structured, AI-generated incident assertions.
- Enable incremental automation: undefined or low-confidence emails can still be forwarded to humans, allowing organizations to adopt AI safely while keeping full control.
Technical Capabilities
- Uses the Email Monitor integration to continuously watch a mailbox, apply filters, and publish Universal Events enriched with email attributes and body content, which are then passed into downstream Tasks as variables.
- Send Prompts to AI models to classify email content and to generate structured JSON output via its JSON/JSON Schema response options.
- Demonstrates workflow branching based on AI classification, reducing implementation effort.
- Converts emails into "ServiceNow Incident"-compatible payloads and creates Incidents automatically.