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08-11-2025 04:41 PM
The configuration is much more complicated than a simple REST call, what is the benefit of going through the Gen AI Controller config, especially for custom LLMs.
Solved! Go to Solution.
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08-11-2025 07:23 PM - edited 08-11-2025 07:26 PM
Hi Chris
As this Point of time i see 3 flavors.
P2P Integration Using REST APIs
Gen AI Controller
ServiceNow Integrated Model Provider (Latest in the series-Model provider flexibility (ServiceNow-integrated ... - ServiceNow Community)
I see one important point when using ServiceNow Framework Vs Typical REST Based API Calls--> Sensitive Data Handling is part of ServiceNow Gen AI Framework, Also Now Assist Guradian for content moderation and adversarial attack detection guardrails. ServiceNow provides built-in governance that is native to the platform->AI Control Tower.
These are added as a part of Framework and it makes a complete central package Considering multidimension angles of GEN AI (Data, Control , Guardrails etc etc)
Regards
RP
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a month ago
please close the tread.
Regards
RP
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4 weeks ago
While outbound REST API calls may seem simpler to configure, the Gen AI Controller (GAIC) offers a scalable, and secure framework purpose-built for enterprise-grade generative AI integrations.
Modular and Reusable Architecture: GAIC allows you to define reusable “skills” that encapsulate prompt templates, routing logic, and post-processing steps. Preprocessors and postprocessors enable custom logic for preparing prompts and handling responses, such as formatting, validation, and filtering. You can switch LMMs - OpenAI, Azure OpenAI, etc, without rewriting integration logic.
Standardization: GAIC provides a consistent interface for all GenAI interactions, whether in Virtual Agent, Flow Designer, or custom apps. This ensures that all GenAI use cases adhere to the same governance and security standards.
