Let coordinated AI agents gather and prepare report data
Also listed as: Multi-agent data orchestration
What is it?
Xelence will explore using several AI agents, each with a specific job, that work together to collect, check and prepare data for reporting and analysis.
Why does it matter?
Preparing data from several sources for reporting involves many manual hand-offs, which slows down analysis and can introduce errors.
Faster, more consistent data preparation and less manual effort for analysts and IT teams.
Getting it into your solution
- Needs an upgrade to the Xelence release
- Needs configuration
- Changes how your team works
Where people stay in control
Agents act only within limits your team sets and within existing data access rules. People approve anything outside those limits and can review everything the agents did.
Start thinking about
- Which data preparation steps take your analysts the most time?
- Which data actions should always need a person's approval?
- Who should review what the agents did, and how often?
Terms used on this card
- Agentic AI
- AI that can carry out a sequence of steps toward a goal, such as checking, deciding and acting, within limits people set, rather than only answering one question.
Items shown as planned are subject to change based on customer priorities for specific features and enhancements.