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Introducing Quality Studio: The Missing Step in Every AI Receptionist Setup

By
Mei Loo
Published 
2026-07-15
Updated 
2026-07-15

Introducing Quality Studio: The Missing Step in Every AI Receptionist Setup

2026-07-15

Quality Studio is a new built-in workspace from Smith.ai that lets you test your AI Receptionist before it ever handles a real call — and continuously improves it over time. Here's what this post covers:

  • Why testing your AI Receptionist before going live protects your client experience
  • How Quality Studio's test, evaluate, and improve loop works
  • How your AI receptionist is scored on call quality — and how to act on the results
  • How to get started with AI Receptionist quality testing on any plan

The phone call is still the front door for most professional service businesses. It's where new clients decide if they're in good hands, where urgent matters get triaged, and where the right information needs to reach the right person before anything else can happen. A lot rides on how that moment is handled.

Getting that right doesn't start when clients call. It starts with how your AI Receptionist is configured. Deploying an AI Receptionist and going live without being able to test it first means your clients are the test. One early call handled poorly — a question fumbled, the wrong person reached, context lost in a transfer — and the relationship is in jeopardy before it begins. Then comes the uncertainty that lingers: is it working? How would I even know? That cognitive load is its own kind of cost.

That's the problem Smith.ai built Quality Studio to solve.

What Quality Studio does

Quality Studio is a built-in workspace where you define what a good call looks like for your business, test your AI Receptionist against those standards before you go live, and keep improving performance as your needs evolve — with a clear, consistent framework so you always know where you stand.

Here's how it works.

You describe what good looks like. You start by setting a Goal — a performance objective for your AI Receptionist, like Qualify leads or Book appointments. Under each Goal, you define Scenarios: the specific call situations that belong to it. A Goal like Qualify leads might include a scenario for a first-time caller asking whether their situation is something you handle, and another for a referral who already knows they want to move forward and just needs to know next steps. Each scenario gets its own evaluation, so performance is measured against your actual call reality — not a generic rubric.

You run a call. Quality Studio supports three call types designed for different stages of testing. Simulated calls run AI-vs-AI text simulations against your scenarios — fast and repeatable. Test calls let you hear your AI Receptionist live from your browser using your real number. And real calls from actual callers are automatically evaluated and pulled into Quality Studio when they match one of your active scenarios, connecting live performance data directly to the goals you've defined.

You see what happened. Every evaluated call is scored against two sets of checks. The first is tied to your specific Goals and Scenarios: did the AI do what you defined as success in this situation? The second is a consistent set of five Caller Experience checks that run on every call regardless of goal or scenario — whether the caller was greeted naturally, communication was clear, pacing felt natural, the AI stayed on topic, and the call ended appropriately. Together, these feed your AI Quality Index (AQI), a running score with a trend line showing how your AI is performing over time. The result is real-time visibility into your calls, evaluated against a transparent and consistent standard — exactly the kind of clarity that removes the guesswork.

You get a specific recommendation. When a check doesn't pass, Quality Studio identifies the root cause and proposes a targeted change: what should have happened differently, what needs to be updated, and why. You can accept the recommendation as written or modify it before it takes effect.

You apply and retest. Run the scenario again to confirm the change worked. The full loop — setting goals, running calls against defined scenarios, reviewing transparent check results, acting on targeted recommendations, and verifying the fix — is what makes Quality Studio a quality system rather than a reporting tool. Each pass tightens the alignment between how your AI performs and how you need it to.

Starting with confidence, staying ahead

The case for Quality Studio isn't only about the first week. It's about every week after, as your business changes and the calls your AI handles continue to evolve.

Most businesses deploying AI have never had a way to pressure-test their setup against real call situations before going live. Quality Studio makes that approach unnecessary. It gives you a structured way to build confidence in your AI Receptionist from day one — and a clear, ongoing framework for knowing whether that confidence is still warranted.

For businesses evaluating Smith.ai for the first time, you can see exactly how your AI handles your calls before you commit. For existing customers, improvement is no longer something that happens in the background, invisible and unmeasured — it's something you can drive, track, and verify.

Available now, on every plan

Quality Studio is live today for all AI Receptionist customers, including those on the Free Plan.

If you're already a customer, log into your dashboard to open Quality Studio and run your first evaluation.

If you're new to Smith.ai, start for free — Quality Studio is included from day one.

Written by Mei Loo

Mei Loo is a Product Marketing Manager at Smith.ai.

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