WiseSentry · AI call-quality guardian

The calls that cost you customers
don't sound angry

They sound calm, professional, even friendly — because a good agent stays calm while the customer is being let down. Sentiment scoring rates those calls positive. Your QA sample never sees them. WiseSentry reads what was actually said, and tells a manager only when your business is the problem.

The call you never hear about

This is a customer leaving.
Nobody in the business noticed.

Read it the way your phone system read it: nobody raised their voice, nobody complained, and it ended with a thank you. Now read what the customer actually said.

▶ INBOUND · 2 MIN 41 SEC· NO COMPLAINT LOGGED
Customer Hi, it's Megan — I'm just following up on that quote. Did it end up going out?
Your team Sorry about that, let me have a look for you… I can see the note here, it looks like it hasn't been sent yet.
Customer No worries at all. These things happen.
↑ This is not forgiveness. This is a customer who has stopped expecting anything.
Your team I'll chase it up today and get it across to you this afternoon.
Customer That's alright — look, don't stress about it too much. We've had someone else come out and quote in the meantime, so we'll probably just go with them for this one.
↑ The job is gone. It was said politely, in the middle of a sentence, and nobody flagged it.
Your team Oh, no problem at all. I'll leave it with you then.
Customer Thanks, appreciate your help. Have a good one.

What your phone system scored it

89/100

Positive. Warm, courteous, no profanity, no raised voices, friendly sign-off. On a low-sentiment alert, this call is invisible. In a 2% QA sample, it is almost certainly never reviewed.

Service failureHigh

What WiseSentry did with it

Raised to the manager within minutes. A quote was promised and not sent. The customer has obtained a competing quote and stated they will likely proceed with the other supplier. Revenue at risk, no owner assigned, second contact on the same matter.

Here is the part that should worry a manager. Without this alert, nobody in that business ever learns the call happened. The quote is never sent. The customer never complains — they simply stop calling, and six months later somebody asks why revenue from that account went quiet. You cannot manage what never reaches you.

An illustrative composite, in the words these calls are actually spoken in. No real customer call is published on this site.

The evidence

One month, 2,349 calls, one Australian business

WiseSentry reviewed every recorded call for a month. Here is what it found — and what a sentiment threshold would have found instead.

2,349
calls reviewed
45
raised to a manager (1.9%)
82
median sentiment of those flagged — positive
3
of the 45 scored 40 or below

Read that third number again. The calls that needed a manager scored well on sentiment. If you were watching for low scores, you would have seen almost none of them. That is the entire reason WiseSentry exists.

Figures from a 30-day review at an Australian corporate travel agency. Client not named; no call content is published.

Why sentiment misses these calls →

The change

What your call review looks like, before and after

Most businesses are not choosing between WiseSentry and a competitor. They are choosing between WiseSentry and the honest reality of what they do today.

How calls get reviewed today

  • A team leader listens to a handful of calls a month — one or two in every hundred
  • Which calls get reviewed depends on who is free, and when
  • Problems surface when the customer complains, or when they quietly leave
  • A sentiment score flags the shouting, and misses the polite disasters
  • Two reviewers disagree about the same call, because there is no fixed standard
  • Nobody can tell you whether the same failure happened forty times last month

How they get reviewed with WiseSentry

  • Every recorded call is read — 100%, not a sample
  • The same standard is applied to every call, every day, without fatigue
  • The manager hears about it within minutes of the call ending, not after the complaint
  • Calm calls that went badly are caught on what was said, not how it sounded
  • Supplier problems your team handled well are deliberately left alone
  • Repeat contacts on one matter group together, so a pattern is visible as a pattern

What a manager receives

An alert you can act on in thirty seconds

Not a dashboard to check. An email, to the manager responsible, with the reason it was flagged, the full transcript, and a link to the recording.

WiseSentry
Standing guard over every customer call · Illustrative example
SERVICE FAILURE · HIGH

Why this was flagged: The customer rang for the third time about an approval email that never arrived. A callback was promised on the previous call and did not happen. The booking has now been cancelled.

Call time
Tue 12 Aug, 10:43 am
Direction
Inbound
Agent
Sample Agent (ext 205)
Sentiment
82 / 100
Note: your phone system scored this call 82/100 for sentiment — i.e. positive. Sentiment-threshold monitoring would not have surfaced it. WiseSentry flagged it on content.

Why that note matters

Everyone on that call behaved well. The agent was polite and helpful. Nobody raised their voice. The score reflects the tone accurately — and completely misses that a customer has now been let down three times.

What the manager gets

  • A plain-English reason, not a score
  • The full conversation, separated by speaker
  • A link to play the recording
  • Any follow-up calls on the same matter, attached to the same alert

The dashboard

Where a manager finds out what to fix

The email tells you about one call. The dashboard tells you whether it is one call or a pattern — which is the difference between apologising to a customer and fixing the thing that keeps producing them.

The WiseSentry dashboard showing calls reviewed, calls raised to a manager, the
                median sentiment of those calls, and how many a sentiment alert would have caught.

The dashboard, with sample data. Every figure is calculated from your own calls.

Is this one problem or forty?

Flags cluster by category. When two thirds of a month traces to one internal process, you stop coaching individuals and go fix the process.

Proof for the conversation you're about to have

Asking for budget, or telling another department their system is losing you customers, goes better with a count and a date range behind it.

Your team only sees their own

Each department's manager sees their department. Nobody browses the whole business, and every view is logged.

Charts showing flags per day, the sentiment scores of flagged calls against
                    the threshold a sentiment alert would use, where failures cluster by category,
                    and the severity mix.

Click a category or severity to filter. Any date range.

The flagged calls table showing client, department, call, category, severity,
                    agent, sentiment score, call time and source.

Every raised call, searchable. Sentiment shown in green scored as positive.

Open any call and you get the whole story

The same content as the email — why it was flagged, what happened, what the sentiment score says, the full transcript and a link to the recording. If the customer rang back or was transferred, those calls are attached to the same alert rather than cluttering your inbox as separate ones.

A flagged call opened in the dashboard, showing why it was flagged, the plain
                English explanation, call details, the follow-on calls attached to it, and the
                transcript.

One flagged call, with its follow-up calls attached. Sample data.

Comparison

Three ways to review calls

Most businesses do the first. Some buy the second. Only the third finds a polite call that went wrong.

Manual QA sampling Sentiment thresholds WiseSentry
Calls covered1–2%100%100%
Finds a calm call that went wrongOnly if it happens to be sampledNo — scores it positiveYes
Separates your fault from a supplier'sDepends on the reviewerNoYes, by design
Groups repeat calls on one matterNoNoYes
ConsistencyVaries by reviewer and by dayConsistent, but wrongConsistent
Cost per 1,000 callsHours of a team leader's weekLowLow
ArrivesWeeks later, if at allImmediatelyWithin minutes of the call ending

How it works

Set it up once — then it watches your back

Reads every call

WiseSentry transcribes and reviews each recorded call from your phone system, automatically, in the background.

Judges it against your policy

A purpose-built classifier decides whether the business let the customer down — and leaves routine calls alone.

Checks its own work

A second, independent pass re-reads borderline calls to suppress false alarms before anyone is emailed.

Alerts the right manager

Each department sees only its own calls. Managers get the reason, the transcript and the recording.

The rule that keeps it credible

It only flags when you are the problem

An alerting tool that cries wolf gets filtered to a folder within a fortnight. WiseSentry raises a call only when the business caused the problem, or its response to someone else's problem was inadequate.

Flagged

  • A booking error your team made and did not fix
  • A promised callback that never came
  • Your own system or portal failing the customer
  • A customer left without help at the end of the call
  • Repeat contact about the same unresolved matter

Not flagged

  • A supplier or manufacturer's failure your team is already fixing
  • A delayed delivery or a part on back-order, handled normally
  • Weather, road closures, industrial action
  • A customer venting about someone else's business
  • Ordinary trade-to-trade calls between businesses

Data & sovereignty

Your customers' conversations stay in Australia

🇦🇺

Stored and processed in Australia

Recordings, transcripts and analysis stay onshore for their whole life. Nothing is shipped offshore for processing.

🔒

No third-party AI

Call content is never sent to OpenAI, Google or Anthropic. The transcription and language models run in Australia, under our control.

✂️

Sensitive data redacted

Card numbers, dates of birth and licence numbers are removed from transcripts automatically.

Stated plainly: redaction applies to transcripts. If a card number is read aloud, it still exists in the original recording — exactly as it does in your phone system today. We would rather tell you that than let your IT team discover it.

What to expect

What a pilot actually involves

No procurement process, no rip-and-replace, and nothing to install on a desk. Here is the whole thing, honestly.

A conversation, not a pitch

Twenty minutes on what your business promises customers, and what it looks like when that promise is broken. That conversation is the configuration — the flagging policy is written from your definitions, not ours.

We read a month of your calls

Read-only access to your existing recordings. Nothing is changed on your phone system, no numbers move, and your team does nothing differently. Setup is measured in hours.

You get the findings, including the boring ones

Every call raised, with the reason and the transcript — plus what was deliberately not raised, so you can see where the line sits. If a month of your calls turns up nothing worth acting on, we will say so.

You tell us which flags were wrong

Your verdicts, call by call, tune the policy before it goes anywhere near a manager's inbox. Only then does routine alerting switch on.

100%
of recorded calls read — not a sample
82
median sentiment of calls we flagged
1.9%
of calls actually raised to a manager
0
call content sent to OpenAI, Google or Anthropic

What we will not tell you is a recall figure — the share of all real problems WiseSentry catches. Measuring that honestly means a human listening to a large random sample of calls it did not flag, and we have not done that yet. Any vendor quoting you one without describing that exercise is guessing.

See WiseSentry read your own calls

We will run it across a sample of your recordings and show you what it finds. If it finds nothing worth acting on, that is a useful answer too.