Your contact center deserves better than a spreadsheet and a prayer.
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You're doing QA the hard way. Here's how it changes.
Every one of these is a real conversation we've had with operators just like you.
"We score a handful of calls and pretend it means something."
A few random calls per agent per month. You know it's not a real sample.
AI scores a statistically valid sample. Or far more of your calls. Your choice.
Calls scored against your own QA form. Under 30 seconds. Any language.
"We score calls. Nothing changes. Nobody acts on the data."
QA scores go into a report. The report goes into a folder. Agents keep making the same mistakes.
Weekly coaching plans generated automatically from real data.
Supervisors know exactly what to coach on this week. Specific behaviors. Tied to real calls.
"Everything I found was built for a company 10x our size."
Enterprise tools cost six figures, need IT, and require buying an entire platform just to get QA.
No IT. No platform to buy. Live in days. Not months.
Send us your QA form. We set it up. You log in and everything is already there.
Everything you need to run real QA. Nothing you don't.
No QA analyst required. No IT. No reports to run. You log in and it's all already there.
Far more calls scored against your QA form.
Your existing scorecards. Even Excel. Under 30 seconds. Any language.
See what's happening across all your calls.
Empathy. Compliance. Sentiment. The full picture.
Weekly coaching. Auto-generated.
What to coach this week. Specific. From real calls.
Calls summarized. No headphones.
30 seconds to read what took 8 minutes.
Score the right amount.
FDA-grade statistics. Or far more of your calls. Your choice.
Voice, chat, email, help desk.
Same QA form. Same consistency. One platform.
Kill the post-call survey.
Predict customer satisfaction on far more of your calls. Not just the 5% who fill out a survey. Far more visibility into your CX.
Real screens. Real data.
This is what you see when you log into OttoQA. Tap any screenshot to see it full size.
Stop surveying. Start predicting.
Your post-call survey gets a 5-15% response rate. That means 85-95% of your customer experience is invisible. OttoQA predicts CSAT and NPS on every single call.
OttoQA analyzes content, sentiment, intent, and behavioral signals on every interaction to predict customer satisfaction. Identify at-risk customers immediately. No surveys required.
Live in days. No IT. No project plan.
Email us your QA form. Running by next week.
Send us your QA forms
The scorecards you use now. We turn every question into a precision AI prompt.
We calibrate on your calls
200-call proof of concept. You compare AI scores to yours.
Everything is there
Scores. Coaching. Summaries. Trends. No dashboards to build.
OttoQA vs. what you're doing now.
What's actually happening in your center today.
| Nothing | Spreadsheets | Hiring QA | OttoQA | |
|---|---|---|---|---|
| Calls scored/agent/mo | 0 | 4 to 8 | 10 to 20 | Far more of your calls |
| Consistency | None | Varies | Varies | Identical. Every time. |
| Coaching | No | No | Sometimes | Auto. Weekly. |
| 24/7 | No | No | No | Always |
| Multilingual | No | No | Maybe | Any language |
| Friday afternoon | — | Drops | Drops | Identical |
| Go live | N/A | Already | 30-90 days | Days |
| CSAT/NPS | None | None | Surveys (5% response) | Predicted on scored calls |
| Contract | None | None | Employment | Month to month |
OttoQA vs. Level AI, Observe.AI, and CallMiner.
Sourced from each vendor's own website.
| Level AI | Observe.AI | CallMiner | OttoQA | |
|---|---|---|---|---|
| Pricing | Not published (quote only) | Custom, no public tiers | By user count or interaction volume | No seat licenses |
| Who it's built for | Not published | Enterprises (350+ enterprise customers) | Plans start at midsize teams (60+ agents) | Any size |
| Setup | Not published | Not published | Most customers live within weeks | $1,000 one-time. Live in days. |
| Proof of concept | Not published | Not published | Pilots in certain cases | 200 calls, covered by the $1,000 setup |
| Billing | Not published | Annual, in advance, by default | Not published | Month to month |
Competitor details from each vendor's own website as of October 23, 2026: thelevel.ai, observe.ai (llm-info and subscription services agreement), callminer.com (pricing and implementation FAQs).
Your agents practice on customers.
There's a better way.
Built by a team that runs a contact center. Not a software lab.
OttoQA was built by operators who run a BPO every day. We needed it for our own operation. Now it's available for yours.
Our full story →"The impact on our customer experience and team performance has been incredible. Simple to implement, amazing results!"
"OttoQA has revolutionized how we analyze calls and coach our team. With faster insights and improved performance, our team is more effective than ever!"
Built for your industry. Not a generic platform.
Every industry has different compliance rules, different call types, and different ways to measure quality. OttoQA scores what matters in yours.
See OttoQA on real calls. 15 minutes.
Pick a time that works. We'll show you the product, not slides.
Book Your Demo →Free contact center tools for smaller contact centers.
Built by operators. No signup. No catch.
WFM Staffing Calculator
Erlang A calculator for voice, chat, and email. Weekly plans, costs, dashboard. The same math enterprise WFM tools use.
Get the Calculator →QA Form Analyzer
Upload your QA form. Instant AI analysis of what's working and what's missing.
Analyze Your Form →Advice from a Call Center Geek
Recent QA episodes from Tom Laird's show, with summaries and key quotes.
Is the QA score still the number that matters?
Tom Laird on why the single QA score is the least useful thing your QA program produces, and what to look at once AI is scoring hundreds of calls per agent.
Listen →What have we learned from two years of AI-powered QA?
Tom Laird shares the lessons from building OttoQA: keep your old scorecard as a benchmark, drop false-hustle questions, and fix consistency before you trust the scores.
Listen →How many QA calls do you actually need to score?
Tom Laird on QA sampling: why a well-built, stratified sample scored with a strong model can tell you more than a big pile of lower-accuracy scores, and what to ask a QA vendor.
Listen →Your agents are on the phone right now. Do you know what they're saying?
Most people can't believe this exists for a center their size.