Draft business rules from a plain-language description
Also listed as: AI rule-authoring assistant
What is it?
An AI assistant will draft business rules from a plain-language description of the policy, ready for a developer to review and refine.
Why does it matter?
Turning written policy into working rules takes time and careful translation between business and technical staff.
Quicker first drafts of rules and less back-and-forth between policy and development teams.
Getting it into your solution
- Needs an upgrade to the Xelence release
- Changes how your team works
Where people stay in control
The assistant drafts only. A developer reviews, tests and approves every rule before it is used.
Start thinking about
- Which policy areas generate the most rule changes for you?
- Who should confirm that an AI-drafted rule matches the written policy?
- What rules apply in your organization to using AI tools on solution code?
Terms used on this card
- AI assistant
- A feature that suggests or drafts something, such as a form, report, rule or letter, for a person to review and accept.
- Large language model (LLM)
- The kind of AI model that understands and writes text, used behind AI assistants and agents.
Items shown as planned are subject to change based on customer priorities for specific features and enhancements.