AI Agent

Ask anything. Get answers.

You have a question about your customers. Ask in plain language and get an answer in seconds — with charts, citations, and recommended actions.

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Labelf AI Agent answering business questions

See it in action

All of Labelf's power in one conversation

The agent has access to every model, every metric, every conversation. It writes SQL, reads transcripts, builds charts, and suggests actions — all from a single question.

AI Agent· Connected to all your data

TV app calls spiked +40% this week due to three root causes:

1. Firmware v3.2 crash on Samsung TVs — 1,847 calls (57%)

The app freezes when switching channels. Only affects firmware v3.2 on 2023 Samsung models. Started Monday after the OTA update rolled out.

2. Streaming quality drop during peak hours — 892 calls (28%)

Customers report buffering between 19:00-22:00. Correlates with CDN capacity in Stockholm region.

3. Login loop after password change — 502 calls (15%)

Known issue — password reset flow doesn't sync to the TV app for up to 24h.

Calls by root cause — this week

Firmware

Streaming

Recommended actions

Roll back firmware v3.2 for Samsung 2023 models

Process Alert$42K/mo

Create agent playbook: "TV app freezing — check firmware first"

Playbook

Escalate CDN capacity in Stockholm to network team

Process Alert$18K/mo

Show me which agents handle firmware calls bestCreate a playbook for thisWhat's the churn impact?

Multi-step reasoning, dashboard filters, data export, conversation deep-divesBook a Demo

Superpowers

A research agent that can read every conversation.

It has read every call, every chat, every ticket. Ask why customers leave, what your best agents do differently, or where your process breaks — and get answers backed by real conversations.

Queries your data

Writes and executes SQL against your analytics database. Self-corrects if a query fails.

Reads conversations

Pulls actual transcripts and quotes specific customer statements with dates and context.

Builds charts

Generates bar charts, line charts, tables — whatever best tells the story of the data.

Cross-references models

Uses all your trained models as dimensions. "Show frustrated billing customers on mobile."

Suggests actions

Recommends playbooks, process alerts, and next steps based on what it finds.

Multi-step reasoning

Breaks complex questions into steps. Plans, executes, and assembles a complete answer.

What you can ask

Any question about your customer interactions.

"Why is churn up this month?"

Investigation

"Which agents handle billing disputes best?"

Benchmarking

"Show me the top 10 cost drivers this quarter"

Reporting

"What do customers say about our new pricing?"

Conversation analysis

"Create a coaching plan for Johan based on his calls"

Coaching

"How does team Alpha compare to team Beta on FCR?"

Comparison

"What happened with TV app calls last Tuesday?"

Spike analysis

"Show me customers who mentioned a competitor this week"

"What's the ROI of our retention playbook?"

Impact measurement

Connected to everything. Grounded in your data.

The agent doesn't make things up. Every number comes from a SQL query you can inspect. Every quote comes from an actual conversation you can read. Every chart is built from your real data.

Data Layer

SQL queries against your analytics database with self-correction on errors

Conversation Layer

Reads full transcripts from search index with anti-hallucination safeguards

Model Layer

All your trained models become queryable dimensions and filter criteria

Action Layer

Generates charts, playbooks, process alerts, and dashboard filters as output

The agent is only as smart as the intelligence behind it.

Every model you train, every category the system discovers, every pattern in the dashboards — the agent uses them all. The more you build, the smarter it gets.

Days of analysis. Seconds to answer.

What used to require an analyst, a SQL expert, and a week of work — the agent does in one conversation.

Steps per investigation

<30 s

Average answer time

Answers without source data

We're ready, are you?

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