When you combine Workflow Data Fabrics with AI, you unlock a new era of intelligent automation. Traditional workflows follow predefined paths, but AI-powered workflows can analyze context, predict outcomes, and make decisions on the fly.
The result? Faster, smarter, and more resilient operations.
Generative AI can write scripts, document processes, and provide real-time guidance to employees. Agentic AI can act as autonomous agents, resolving incidents, updating records, or initiating escalations without human input. Machine learning models can evaluate workflow performance and recommend optimizations.
These AI components are embedded directly into the fabric, surfacing in triggers, decision points, and orchestration layers. This means your workflows can:
- Auto-route tickets based on sentiment or urgency
- Trigger risk mitigation based on predictive analytics
- Summarize actions taken for audit logs
- Adapt based on prior outcomes and learned patterns
This isn’t just automation, it’s intelligent automation at scale. It shifts the role of human operators from executors to supervisors and strategists.
In the Workflow Data Fabric world, AI doesn’t sit off to the side. It’s woven into the infrastructure, continuously driving value from the data and workflows that already power your business.
