September 1, 2025
Top Use Cases for Agentic AI
Agentic AI is moving from concept to practical execution
Many enterprises are still in the early stages of understanding what true agentic systems can do. Customer service is emerging as the highest-impact near-term use case, with clear cost and experience benefits, while knowledge management is being enhanced through domain-specific reasoning models that improve information accuracy and accessibility. Security teams are adopting AI SOC agents to accelerate investigations and reduce false positives. At the same time, organizations should be thoughtful not to equate task automation with full agentic capabilities, as this limits transformational outcomes. Learn more on the AI product value framework in our report.
Many enterprises are still in the early stages of understanding what true agentic systems can do. Customer service is emerging as the highest-impact near-term use case, with clear cost and experience benefits, while knowledge management is being enhanced through domain-specific reasoning models that improve information accuracy and accessibility. Security teams are adopting AI SOC agents to accelerate investigations and reduce false positives. At the same time, organizations should be thoughtful not to equate task automation with full agentic capabilities, as this limits transformational outcomes. Learn more on the AI product value framework in our report.
Every enterprise's best performing employee
Simple and fast
Best in class UI that business users can leverage to generate 300+ page proposals 10x faster
Accurate
Integrate live data from company repositories that reflect the latest, most relevant information into your proposals
Trusted
Masks all sensitive information before passing on to public LLMs. Ema is with leading security protocols like SOC 2 Type II, HIPAA, ISO 42001, ISO 27001, GDPR, NIST, and more
What you'll learn
How Bigblue used Ema to:
- Scale support volume 10× without adding headcount
- Reduce response times from two hours to under 90 seconds
- Maintain accuracy across multilingual, multi-system workflows
- Improve reliability during seasonal traffic spikes where traditional staffing approaches fall short
