Turn every QA finding
into targeted coaching.
Automatically turns AutoQA findings into customer simulations. Agents get real-time coaching built on their own conversations.
Trusted by the fastest growing financial services.
Too slow to run daily.
Coaching today is manual pull tickets from a sheet, look each one up, and write the feedback by hand.
Manual: pull tickets from a sheet, look each up, write feedback.
Too slow to run daily.
The signal never reaches the agent in time.
How this agent works
Scores plateau and don't match reality. Critical failures hide in the 95% of conversations you never read — and only surface once they've been counted.
01
Takes the per-agent patterns
Reads the patterns AutoQA finds for each agent.
02
Generates targeted coaching
Builds coaching specific to each agent's repeated gap.
03
Routes it automatically
Delivers it without a manager assembling it by hand.
What it reads, derives,
and does with it.
What it reads
AutoQA's scored output and per-agent error patterns.
AutoQA scores
Per-agent error patternsWhat it derives
The signal it builds from that output.
The repeated gap per agentWhat it does with it
The action each finding triggers.
Coaching prompt
Weekly per-agent digest
“Rulebase is AI for customer ops at fintechs. It watches every interaction, flags risk in real time, and works the follow-up.”
Every customer conversation, covered.
The AI revenue workforce for financial services. From approved to transacting, no account left behind.
