Connect your Xelence solution to approved AI models
Also listed as: GenAI configuration & setup
What is it?
Xelence includes AI connectors, ready-made links to an AI provider, that administrators set up once per environment, such as development, test and production. Xelence reads the list of available models and what each one can do, and keeps access keys stored separately from the settings people see.
Why does it matter?
A consistent, governed way to make AI models available to your solution, instead of a separate custom link to an AI service for each project.
Generative AI Services and Xelence AI Engine work together. Building AI and running it explains which does what.
Getting it into your solution
- Needs configuration
Start thinking about
- Which systems and channels, such as staff screens or public portals, would call AI services first?
- What data classification rules decide which information may be sent to an AI service?
- Who governs AI use in your organization, and is there an approved policy or review board?
- How will you budget for AI usage, and who will track it across programs?
- How will people know when content came from AI, and how can they reach a person instead?
- How will you retest and re-approve AI features when you take a new release or a model changes?
Terms used on this card
- Connector
- A ready-made link between Xelence and another system or service, such as Salesforce, DocuSign or an identity provider, so data flows without custom code.
- Environment
- A separate copy of your solution used for one stage of work, such as development, testing or production. Production is the live system that staff and constituents use.
- Large language model (LLM)
- The kind of AI model that understands and writes text, used behind AI assistants and agents.