Every conversation reviewed Automatically.

Load your own products, policies, processes, and FAQs into the Simplexi Knowledge Base. The AI Agent answers every client query from your exact content — your language, your tone, your rules. Update it once and every AI response across every channel improves immediately.

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Everything included

Everything you need to run post-conversation insights.

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AI

AI Conversation Summary

Clean summary generated after every call and message thread automatically.

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Sentiment Scoring

Every conversation scored — Positive, Neutral, Frustrated, Negative.

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Resolution Tracking

Resolved, Unresolved, or Escalated — tracked across every interaction.

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At-Risk Client Detection

Clients likely to churn flagged before they go silent.

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Agent Quality Scoring

AI scores agent performance against your criteria automatically.

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Conversation Tags

Every conversation labelled by topic, outcome, and channel.

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Filterable Insights

Filter by sentiment, agent, channel, date, or resolution status.

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Export to CSV

One-click export for compliance, reporting, or deeper analysis.

How it works

From first touch to resolution — in clear steps.

Step 1 of 3

After every interaction — a score, a summary, a status. Automatically.

The moment a call ends or a message thread closes, Simplexi generates an AI summary, assigns a sentiment score, and records the resolution status. No manual review. No sampling. Every conversation accounted for.

AI summary generated after every call and message thread — no listening back
Sentiment score assigned automatically — Positive, Neutral, Frustrated, or Negative
Resolution status tracked — Resolved, Unresolved, or Escalated — on every interaction

Step 2 of 3

At-risk clients flagged before they leave.

Simplexi identifies clients whose recent interactions ended on a negative note and flags them for follow-up. Not after they have churned. Before they even consider it. The window to recover the relationship is still open.

Filter by sentiment: Negative — last 30 days — and every at-risk client surfaces
AI summary shows exactly what went wrong in each conversation
Personalised outreach triggered automatically or flagged for the team to action

Step 3 of 3

Your QA team reviews what matters. The AI reviews everything else.

Instead of manually sampling a small percentage of conversations, your QA team filters to exactly what needs attention — every unresolved conversation, every negative sentiment, every escalation. The AI has already done the review. Your team acts on the results.

Filter to Unresolved, Negative, or Escalated conversations in seconds
Agent quality scoring based on your own criteria — not generic benchmarks
Monthly compliance audit completed in hours — not days of manual listening

FAQ

Frequently asked questions

No — it makes your QA team dramatically more effective. Instead of sampling 2% of conversations, they review the 100% that the AI has already flagged as needing attention.
Simplexi analyses the full conversation content — not just keywords. Sentiment is scored at the conversation level and validated against resolution outcome.
Yes. Filter by date range, agent, channel, and outcome tag. Export the full list to CSV for your compliance or regulatory submission.
A summary is an AI-generated paragraph describing what happened. A tag is a categorical label — topic, outcome, channel — applied automatically for filtering.
As far back as your Simplexi data goes. There is no limit on historical filtering — subject to your data retention settings.

Stop answering questions your system already knows.

Book a demo to see Simplexi in action.