Traces
Every AI decision, explained.
Not a transcript. Not a confidence score. The complete reasoning chain behind every decision your AI agent makes. From customer message to agent response, every step visible and traceable.
Trusted by operators running Traces at scale
100%
of AI interactions traced automatically
How it works
One question. One complete answer.
A customer asks about a bank transfer. Behind that conversation, seven layers of AI reasoning execute in sequence. Traces captures every one. Scroll to see what actually happened.
What the customer sees
A normal conversation. The customer asks about their latest transfer to Joe Brooks. The AI asks for security verification. The answer comes back in seconds. Clean, simple, instant.
Reasoning Engine
The first question: what does the customer actually want? The Reasoning Engine runs intent classification - evaluating candidates like balance.enquiry, transfer.lookup, and fraud.dispute before committing to transfer.lookup. Every LLM call, every candidate considered, every model used - logged with timing.
Knowledge retrieval
Before showing transaction data, the agent retrieves the bank's Transaction Disclosure Policy. Traces records which policies were searched, their relevance scores, and which one was retrieved - version 3.2. You can trace any answer back to its exact source document.
Decision Engine execution
The identity verification step runs as a deterministic program, not an LLM guess. The condition card_last4 == "4821" is evaluated, the branch is taken, the flow proceeds. Every condition, every branch, every outcome is recorded exactly as the program executed. This is what compliance-grade auditability actually looks like.
Playbooks execution
Once the transaction data comes back, a Playbook takes the raw API response and formats it into a clear, human-readable message. The LLM call is logged - what instructions it received, what data it was given, what it generated. Not a black box. A fully traceable step.
Orchestrator routing
The intent was transfer.lookup - so Orchestrator routed to the Payments Agent, not General Support or Fraud. Why that agent, with what context, in 18ms. If the conversation had escalated to a human, the full handoff logic would be here too.
Tool and API calls
The core banking system was called at GET /transactions/latest. The full request, the exact response payload, and the 210ms latency are all logged. If the API had failed, returned unexpected data, or timed out, you would see it here, immediately.
Response generation
The final response delivered to the customer, alongside the exact source that informed it: Transaction Disclosure Policy v3.2, retrieved, applied, cited. Not a summary of what happened. The complete chain from customer question to agent response, in 380ms end to end.
What it means for your team
Two teams. One source of truth.
Whether you're investigating a customer escalation or debugging a production failure.
For CX leaders
Know exactly what your AI did. And why.
When a customer escalates, open the trace. See which policy the AI retrieved, which process it followed, what data it used. Investigate in minutes, not days.
- See the AI's reasoningOpen any conversation and trace the full decision chain from customer question to agent response.
- Spot patterns, not just incidentsFind routing failures, knowledge gaps, and process bottlenecks before they show up in your CSAT score.
For technical leaders
Your team stops building log pipelines. Starts debugging production AI in minutes.
Engineering-grade observability across the entire Zowie stack, out of the box. No gaps between reasoning and action.
- Deterministic audit trailsDecision Engine processes log program execution, not LLM interpretation. Fundamentally higher auditability for regulated industries.
- Structured, queryable dataFilter by agent, channel, time range, process type, or outcome. Answer compliance queries in minutes.
“Zowie has significantly helped streamline our processes and enhance the customer experience. Not only a powerful automation tool but also a team of great and skilled specialists who go deeply into your business processes to deliver high value.”
Wojciech Kalota
Service Manager, Booksy
Traces is one part of Zowie's quality system.
Test before launch. Monitor in production. Debug when something breaks.
Tester
Catches failures before customers do.
Supervisor
Evaluates every live interaction in real time.
Traces
Shows the reasoning behind every AI decision.
Thousands of AI decisions, every day. Make sure you can explain every one.
See the complete reasoning chain behind every AI decision your agent makes.