Cleariva Performance Intelligence
dev
Insurance sales performance, measured end to end

Every call, scored.
Every coach-up, proven.

Cleariva listens to sales calls, scores them automatically against a defined skill and compliance model, assigns the right coaching, then measures whether behavior actually changed. Most analytics tools stop at the score. Cleariva keeps going.

View live dashboard How it works
Calls scored this week
0
Avg. pipeline time
0m
Coaching follow-through
0%
The four core engines

One job each, in a fixed order

Each engine does exactly one thing and hands work to the next through managed queues and events — never a direct call.

01

Ingestion

Normalizes raw call data into a standard call object, assigns a call ID, and attaches tenant and agent context.

Telephony & Ambient
02

Analysis

Scores micro-skills, detects behavior signals, checks compliance, and produces a structured performance record on every call.

100% auto QA
03

Coaching

Runs root-cause analysis on weak skills, maps gaps to knowledge atoms, and assigns targeted Academy training.

Targeted lessons
04

Performance Loop differentiator

Compares pre- and post-training behavior for the same skills and confirms whether the coaching actually worked.

Measured change
How work flows

From a raw call to proven improvement

Async by design. Queues carry the sequential pipeline; events signal everything else.

  1. 1

    Call received

    Normalized & queued

  2. 2

    Transcribed

    Stored to S3

  3. 3

    Analyzed

    Skills scored

  4. 4

    Coached

    Training assigned

  5. 5

    Re-measured

    Change confirmed

Operations dashboard

What a manager sees

A mock snapshot of the Cleariva operations view. All numbers below are sample data.

Calls processed 0 ▲ 8.2% vs last week
Avg. skill index 0 ▲ 3 pts
Compliance pass rate 0% ▲ 1.1%
Open coaching tasks 0 ▼ 12 closed today

Micro-skill trend

Weekly average team skill index. Sample data.

Coaching queue

    The closed loop

    Coaching only counts when behavior changes

    When an agent completes training, Cleariva watches their next calls and compares the same micro-skills before and after. If the score moves, the loop is proven. If it doesn't, the assignment is flagged for a different approach.

    0% completed training
    0% measurable lift
    0 flagged for review