Boldr AI
Tier-1 telco · customer care

Telco repeat contacts case study

Every contact traced from cause to cost.

Releases blew the forecast and nobody could say why calls came back.

−40%
repeat contacts
−28%
resolution time
−22%
cost per contact
Every contact traced from cause to cost.BeforeAfterRepeat contactsResolution timeCost per contact

1The situation

What the operation faced

Releases blew the forecast and nobody could say why calls came back.

2What we did

How Boldr AI fixed the process first

  1. 1

    Traced every contact

    event → IVR → agent → ticket

  2. 2

    Attributed releases

    on handle time and repeats

  3. 3

    Ranked the fixes

    by full cost of each journey

  4. 4

    Tower

    what changed and why, daily

3Built with

Capability, solutions and products used

4Results

Measured results

−40%repeat contacts
−28%resolution time
−22%cost per contact

Measured against the baseline taken at the start. Client name withheld; references on request.

Next step

Could this work in your operation?

Define the scope in minutes. We turn your answers into a focused Value Discovery Sprint.

Scope your sprint
in three questions.

Pick the capability. Your answers tell us where a Value Discovery Sprint would look first; a value consultant comes back with a proposed scope.

1What capability do you want to focus on?
2What share of contacts are repeats?
3Can your bot act in your systems, or only answer?
4What happens after hours?

Your readout

Your answers shape the scope.

A sprint would likely look first at:

  • Repeat reasons to fix
  • Requests an agent can resolve
  • After-hours demand

A value consultant replies within one business day.