Artificial intelligence
Learning Agents
Your agents improve with every conversation, with your team always in control.
Salegentic's agents learn from your knowledge base, from conversations your team marks as exemplary, and from corrections made by supervisors. You decide what is incorporated and when a new version is published.
Learning Sources
KB, examples, corrections
Control
Human approval
Comparison
Metrics per version
What's included
Supervised Learning
Supervisors correct responses, and these corrections feed into the next version.
Examples from Your Best Agent
Mark winning conversations as references for tone and arguments.
Gap Detection
The agent identifies questions it couldn't answer and suggests new content.
Contact Memory
Remembers each customer's history and preferences across channels.
How it works
- 01
Converse
The agent attends and logs each interaction.
- 02
Review
Your team approves, corrects, or marks as an example.
- 03
Train
Improvements are grouped into a new version.
- 04
Publish
Compare metrics between versions before adopting.
Use cases
Rapid Onboarding
A new agent learns your brand's tone in days.
Objections
Learns to respond to the most frequent objections with real arguments.
Continuous Improvement
Every week, fewer escalations to humans.