Boldr AI
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Customer service AI agents

Fewer repeat contacts. Faster collections.

Agents contain the rules-based reasons and collect by risk and value; a tower traces every contact to its cause and cost.

Start a Value Discovery SprintSee how it works
−40%
repeat contacts
9% → 0%
abandonment
100,000+
collection contacts a month
Fewer repeat contacts. Faster collections.ReleaseOutagePromoPayment dueCall or chat→ causeAgent resolvesstatus, payment planPerson, with contextdisputes, hardshipFix at sourcestops the repeatService and collections contacts, each traced from event to cost

1The problem

Why customers call back and collections run on memory

Customers call back because nothing got fixed.

A billing error or a faulty release keeps sending the same question to the queue. Each call is closed on its own while the cause stays open.

The IVR transfers instead of resolving.

Menus built for routing push balance checks and payment questions to a person, and callers wait in line for answers the IVR already had.

Collections by memory, not by value.

Collectors work accounts in the order they come up and remember who promised what. Large balances at high risk wait behind small ones.

2How it works

How Boldr AI agents contain contacts and collect

  1. 1

    Answer

    Attack abandonment first.

  2. 2

    Understand

    100+ real contacts typed by reason.

  3. 3

    Contain

    Agents on rules-based reasons.

  4. 4

    Collect

    Sequence by risk and value.

3What you get

What customer service agents deliver

Intent 80/20

100+ real contacts typed by reason and ranked, so the few rules-based reasons that drive most of the volume go to agents first.

Escalation cascade

Each contact followed from IVR to agent to ticket, with the full cost of every step. You see exactly where a simple call turns costly.

Collections sequence

A sequence by risk and value: an agent sends the reminder and payment link, records the promise and escalates broken ones to a collector.

CX tower

A daily read on why handle time and repeat contacts moved, tied to the release, outage, promo or bill behind them.

What runs it:Control Tower

4Results

Measured customer service results

Tier-1 telco · customer care

Every contact traced from cause to cost.

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

Less waiting, more capacity, same system.

9% → 0%abandonment
−17%handle time
US$1.1M+capacity a year
Financial services

Collections at scale, without growing the team.

100,000+contacts a month
US$2.4M+annualized value
All case studies

Next step

Scope your first customer service sprint

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.

Questions

Does Boldr AI need call recordings to start?

No, Boldr AI starts with IVR logs, interactions and tickets. Recordings add quality analysis but are optional. From that data, 100+ real contacts are typed by reason to decide which ones agents take first.