You can't hear every call at every location. We can.

Your locations answer the phone all day — and you have no idea how those calls actually go. After hours, nobody answers at all. Quagin runs AI voice agents for multi-location practices, and manages their quality like a discipline, not a feature. Calls get caught 24/7. Every one is reviewed against your standards. You get proof.

Free · Zoom · not a pitch, a fit check

Friendly violet robot with a headset leading four smaller robots from a confused jumble into an orderly line
The problem

An AI agent that answers is easy. One that stays good is not.

AI voice agents are past the demo stage — they book appointments, answer questions, and cover the hours your front desk can't. What they don't do is stay good on their own. Prompts drift. Edge cases pile up. A caller gets a wrong answer at one location and nobody ever knows.

Most providers ship the agent and walk away. The agent was never the hard part. The management is.

Three confused robots with headsets tangled in cables at a row of call desks, the middle one's face glowing red
Robot with a headset holding a clipboard checklist, reviewing a board of cards, each showing a small robot happily taking a call
What Quagin is

The management layer. It's in the Quagin name: Quality Agent Integration.

We operate the agents on your behalf — you don't configure anything — and we run a quality practice on top:

  • Flag rules tuned to what matters in your business
  • A weekly review of every flagged call
  • Recommendations with status you can track to done

Quagin is founder-operated: thirty years in operations, IT leadership, and formal quality management — now pointed at the newest thing answering your phones.

There's a client portal — audit log, QA reviews, every recommendation and what happened to it. You don't have to log in for the service to work. It exists so you can verify the work is happening. Part of what you're paying for is not having to look.

How it works

Start where it can't hurt: the calls you're already losing.

Cheerful robot with a headset catching falling telephone handsets in a net beside a sleeping answering machine
1

Keep your number, keep your staff.

We take the overflow — nights, weekends, the third ring nobody reaches. The comparison isn't AI vs. your receptionist. It's AI vs. voicemail.

2

We review, flag, and tune.

Weekly review against your flag rules. When something's off, we fix it — and you see the fix.

3

Expand when you trust it.

More hours, more locations, more call types — at your pace. Or not. Your call, literally.

Between invoices you'll hear from us: a monthly summary with the flagged calls worth your attention, the occasional "we caught this for you" note, and a quarterly review.

What it costs

Our clients run $1,500–3,000 a month, depending on locations and coverage — comparable to one part-time receptionist, for 24/7 coverage across every location, managed end to end. If you're looking for a $200/month tool to run yourself, there are good ones out there; we're not it.

Honest answers

What happens when the AI gets it wrong?

It will, occasionally — anyone who says otherwise is selling something. The difference is what happens next: flag rules catch it, the weekly review diagnoses it, the fix ships, and the portal shows you all three.

Will my staff resent it?

It starts on calls they were never taking — after hours, overflow, the holds that hang up. Front desks tend to like Mondays with fewer voicemails.

Why not a self-service AI receptionist?

If you have time to write prompts, review calls, and tune an agent, they're a bargain. Our clients are paying specifically to not have another dashboard to manage.

Do we have to change phone systems?

No. Keep your number and your carrier — missed calls forward to us, and everything else stays put.

Twenty minutes. No pitch.

Tell me how calls work across your locations today — what's answered, what's missed, what you wish you could hear. I'll tell you honestly whether Quagin fits. If it doesn't, you'll leave knowing the category better either way.

Robot with a headset standing proudly in front of a neat row of robots lined up like a team