POWERADMIN AI
Voice AI Dashboard · QA for people and AI

You have a recording of every call. Nobody has listened to them all.

Most teams do what's actually possible by hand: pull a sample of calls per employee at some interval and review those. It's a solid coaching loop, and if that's you, you're ahead of most. The Voice AI Dashboard takes the same idea to its logical end: every call your business takes, human or AI, transcribed and scored against rubrics built from your actual job descriptions. One screen. Every conversation. Graded to your standard.

100% of calls or a representative sample, your choice Your rubric, your pass mark Human and AI on one screen Free preview: one position, rubric built, real calls scored
100%coverage available, or the sample rate you choose
~1%of calls is all a manual sample can cover
Same daycompliance flags surface, not months later
7 daysthen call audio is deleted for privacy

A monthly sample is a good coaching loop. It's a thin net for compliance.

Pulling a handful of calls per employee at a regular interval is legitimate QA: it trains people, it surfaces patterns, and sometimes it justifies a hard decision. Keep doing it. The gap isn't the method, it's the arithmetic: everything outside the sample goes unheard, and pulling more tape to confirm a trend takes hours nobody has.

The calls that cost you live outside the sample

A salesperson overpromising, a service rep guessing at a compliance answer, a required disclosure that quietly stopped being read. The odds any of it lands in a small monthly sample are slim. It surfaces instead as a complaint, a chargeback, or a regulator's letter, months after the pattern started.

Trends shouldn't take a week of tape-pulling

Your monthly sample flags that Marcus might be slipping. Today, confirming that means pulling and reviewing more recordings by hand. With every call already scored by criterion, the trend is just there: which step the lower scores miss, the three clips that prove it, and a coaching session built on evidence instead of impressions.

Your AI needs a boss too

Everyone selling AI phone agents asks you to trust them. We think you should audit ours the same way you audit people. Every AI call is scored on the same rubric as your team, so "is the AI doing a good job?" gets a number, not a vibe.

After hours is a black hole

Whatever happens on your phones at night and on weekends is invisible today. The dashboard separates after-hours coverage into its own view, so you can see the calls a business without coverage simply loses, and what they turned into.

How scoring works

We turn the job description into a rubric. Then we grade every call to it.

Here's another way of saying it: you already know what a great intake call sounds like, because you wrote the job posting. We take that standard for each position and make it enforceable, for humans and AI alike.

  • Weighted criteria. The things that matter most to you count the most: disclosures might be 25 points while rapport is 10.
  • Compliance auto-fails. Some misses fail a call no matter how good the rest was. A skipped required disclosure is a zero, full stop.
  • Category minimums. A call can't coast on charm: each category has a floor it must clear.
  • Your pass mark. You decide what "acceptable" is: 80, 85, 90.
  • Three-tier verdicts. Pass, fail, or needs review. Borderline calls route to a manager, because the judgment call should be human.
Rubric · Debt settlement enrollmentPosition-based
Identity + recorded-line noticeAuto-fail if missed10Required
Program disclosures, verbatimAuto-fail if missed25Required
No prohibited claims"guarantee," "erase," etc.20Required
Needs assessment quality20Weighted
Next step secured15Weighted
Tone and professionalism10Weighted

The standard is yours. We just grade to it.

What's on the dashboard

One sign-in, four views, zero spreadsheets.

Complete call log

Every inbound call with caller, matter or account type, outcome, sentiment, and duration. Full transcript search by name, number, or phrase ("did anyone say refund this week?"). One click to the recording and transcript. Filter by direction, handler, outcome, or sentiment.

Team QA roster

Each person's average score, trend, and compliance violations at a glance. Auto-fails flag immediately. Click through to any rep's scorecards and flagged calls, then bring real clips to the next coaching session.

AI performance funnel

Calls received, connected, qualified, booked or transferred, with sentiment breakdown. After-hours and weekend coverage separated out so you can see exactly what the AI captured that voicemail would have lost, and what it closed versus handed off.

Custom field analytics

During setup we map your own fields (matter type, caller type, campaign, office) and the dashboard charts them automatically. Conversion by inquiry type without anyone building a report.

Privacy and access, handled like you'd want

Built for businesses that answer to regulators.

We designed the data handling for compliance-heavy industries first, because that's who we serve.

  • Sensitive data is never stored. Account numbers, card numbers, SSNs, and dates of birth are stripped before storage. Not masked. Never stored at all.
  • Audio has a short life. Recordings delete after seven days. Transcripts and scores are retained so the record survives without the raw audio.
  • Access is controlled. Magic-link sign-in, read-only access for your email domain, elevated access limited to named administrators, and complete isolation between organizations.

Already recording calls through your phone system? The dashboard works as the reporting layer on top of our Voice AI, on your existing human-answered lines, or both. You don't need to replace anything to start seeing your calls.

See It On Your Own Calls
SSNs, card and account numbersNever stored
Call audioDeleted after 7 days
Transcripts and scoresRetained for your records
Sign-inMagic link, no passwords
Your data vs. other firmsFully isolated

The first week of scores will surprise you.

Request a 20-minute call. We'll set the dashboard up against your own calls, build a rubric from one of your real job descriptions, and let you see what's been sitting in the calls your sample never reached.