How We Keep Every AI Conversation Accountable
AI agents can sound completely confident and still be wrong. Convophi wraps every conversation in a closed loop of simulation, live monitoring and human review.
Confident and wrong is the default failure mode
Missed escalations
The agent pushes ahead on a case it should have handed to a human.
Compliance misses
A required disclosure or verification step gets skipped.
Tone drift
Responses slide off-brand — too curt or tone-deaf.
Hallucinated answers
The agent states something not in your knowledge base.
Unresolved issues left open
The conversation ends politely but nothing was solved.
One closed loop, running on every conversation
Click any step for more detail. Steps 4–5 are where humans teach the system.
Thousands of realistic scenarios stress-test agents before launch.
Scenarios are generated from real transcripts and edge cases — adversarial customers, ambiguous requests, multi-turn traps.
Ship to any channel with guardrails enforced from day one.
Compliance phrases, escalation rules and brand tone are attached as policy at deploy time, not left to the model's discretion.
Score every live conversation for accuracy, compliance and tone.
The scoring model runs on 100% of conversations in real time. Anything under threshold gets flagged automatically.
Reviewers grade flagged conversations, feeding judgment back in.
Trained reviewers see the full transcript and the AI's score. Their grade becomes labeled training data.
Insights retrain scoring and prompts — quality compounds.
Reviewer judgments retrain the scoring model itself, so it gets sharper at catching the same failure next time.
The right checks for each channel
Confirms verification steps before any sensitive action.
Verifies disclosures and scripted language were actually spoken.
Tracks caller mood and agent tone across the whole call.
Flags any claim not grounded in your knowledge base.
Humans don't just review conversations — they teach the system
Every correction improves every future score — not just the one in front of you. The scoring model retrains on reviewer judgment, so the human share shrinks over time even as coverage stays complete.
Quality you can see, today
AI conversation quality, answered
It is when it's accountable. Convophi scores every conversation for accuracy, compliance and escalation, routing risky ones to humans.
Every conversation is scored and stored with its transcript. Flagged conversations are reviewed by humans, and history is searchable.
Flagged conversations route to a human whose correction becomes training signal for the scoring model.
The AI judge scores 100% automatically; humans focus on flagged and high-risk ones plus a sample.
Grounding, compliance, tone, escalation correctness and resolution — plus channel-specific checks.
CSAT samples opinions after the fact. Convophi scores the actual content of every conversation as it happens.
Ready to put a quality layer on every conversation?
See Convophi run across Voice, WhatsApp, Email and SMS.