unitQ Support QA vs Level AI
An independent grader for in-house teams, BPOs and AI agents, versus contact-center AutoQA with real-time agent assist.
unitQ Support QA scores 100% of your support conversations, not a sample, so coverage doesn't depend on reviewer hours. unitQ Support QA leads on scoring accuracy: every check has a plain-language definition, fail values and worked examples, and you validate it in Testbench on your own past conversations next to your own reviewers before it goes live. unitQ Support QA is an independent grader that isn't tied to the vendor whose bot or agents it scores. Custom rubrics in Tag Studio are checked on real conversations in Testbench. Bot conversation checks are configured for your workspace. unitQ Support QA supports all your support channels, including chat, email, messaging, voice and IVR (automated phone menus), through integrations with platforms such as Zendesk, Salesforce Service Cloud, Intercom, Freshdesk, Kustomer, Amazon Connect and Five9. Rubrics and scorecards can be shared across in-house teams, BPOs and AI agents, or split out with bot-specific checks.
Updated October 19, 2026
unitQ Support QA vs Level AI, side by side
unitQ Support QA scores 100% of your support conversations, not a sample, so coverage doesn't depend on reviewer hours. unitQ Support QA leads on scoring accuracy: every check has a plain-language definition, fail values and worked examples, and you validate it in Testbench on your own past conversations next to your own reviewers before it goes live. Level AI is an AutoQA and real-time agent assist platform for voice-heavy contact centers: semantic scoring across calls, chat and email, live in-call guidance and auto-generated coaching. unitQ Support QA is an independent grader: as many rubrics and scorecards as your policies require, shared across in-house teams, BPOs and AI agents or with bot-specific checks.
| Capability | unitQ Support QA | Level AI |
|---|---|---|
| Independent of the vendor being graded | ✓unitQ doesn't sell the AI agent, the helpdesk or the labor it grades, so scores stay neutral for humans and AI. | ~Level AI also offers AI agents, including an AI Virtual Agent (thelevel.ai). |
| Coverage | ✓100% coverageunitQ Support QA scores 100% of your support conversations, not a sample, so coverage doesn't depend on reviewer hours. | –Not a stated focus. |
| Custom rubrics | ✓Your team owns the rubric in Tag Studio. Each check has a plain-language definition, fail values and worked examples, and rubric groups can be weighted. You can attach policy or SOP docs as reference. | –Not a stated focus. |
| Test and update checks before go-live | ✓Try a check on real past conversations in Testbench before it goes live. Your team edits checks as drafts, and unitQ sets a check live when you're ready. | –Not a stated focus. |
| All support channels | ✓All your support channels (chat, email, messaging, voice, IVR) via integrations such as Zendesk, Salesforce Service Cloud, Intercom, Freshdesk, Kustomer, Amazon Connect and Five9 | –Level AI's Auto-QA scores conversations across voice, chat and email (thelevel.ai). Other channels are not stated on that page. |
| One scorecard across BPO and in-house teams | ✓One scorecard you own for in-house and BPO teams, broken down by BPO vendor vs in-house team using the team and vendor mapping set up for your workspace. AI agents can share your human standard or get bot-specific checks. | –Not a stated focus. |
| Scores AI agent conversations | ✓AI-agent conversations can be scored on your shared standard or on bot-specific checks, independent of the bot vendor: real containment, wrong information, loops, escalations that shouldn't have happened, inaccurate resolutions and recovery after reaching a person. Configured for your workspace during setup. | ?Level AI's Auto-QA scores conversations across voice, chat and email (thelevel.ai). Confirm AI agent QA scope with Level AI. |
| Process and policy adherence | ✓Pass/fail checks for required steps and policy adherence, not just tone and empathy, with every miss linked to the conversation. It grades what shows in the conversation. | –Not a stated focus. |
| Compliance checks | ✓Pass/fail compliance checks you define, such as required disclosures, privacy handling and policy adherence. | –Not a stated focus. |
| Scoring accuracy | ✓unitQ Support QA leads on scoring accuracy: every check has a plain-language definition, fail values and worked examples, and you validate it in Testbench on your own past conversations next to your own reviewers before it goes live. | –Not a stated focus. |
| Score granularity | ✓Each check is scored on each conversation, rolled up into one quality score with competency and compliance views, and broken down by contact reason, team, BPO vendor, region, manager and agent. Breakdowns depend on the team and vendor mapping set up for your workspace. | –Not a stated focus. |
| Evidence behind every score | ✓Every scored miss links back to the conversation behind it. | –Not a stated focus. |
| From insights to coaching | ✓Managers get an evidence-linked coaching brief per agent and a roster of strengths and gaps by skill. Results roll up by team, manager and BPO vendor. AI-agent conversations get their own bot audit, with findings and a suggested owner such as conversation design. | –Not a stated focus. |
| Coaching effectiveness over time | ✓The Coaching overview tracks coaching sessions, session rate, coached vs pending vs past-due, focus areas and history by manager, and follows coached agents' scores after a session. | –Not a stated focus. |
| Real-time in-call agent assist | ✕Not what unitQ Support QA does. Teams that need live assist pair it with an assist tool. | ✓Real-time agent assist and supervisor alerts (thelevel.ai). |
Also running unitQ Monitor? Quality themes from unitQ Support QA can sit beside contact reasons and product issues, so support and product work from the same view.
Choosing an AI agent too? Grade every vendor on your own rubric with the AI agent POC playbook.
Where Level AI falls short
- Level AI also offers AI agents, including an AI Virtual Agent (thelevel.ai). The grader is not independent of that AI agent vendor.
- Level AI says its deployments combine per-agent pricing, platform licensing and usage components (thelevel.ai).
Why teams choose unitQ Support QA
unitQ Support QA scores 100% of your support conversations, not a sample, so coverage doesn't depend on reviewer hours. unitQ Support QA leads on scoring accuracy: every check has a plain-language definition, fail values and worked examples, and you validate it in Testbench on your own past conversations next to your own reviewers before it goes live. Level AI is a strong pick for a voice-heavy contact center that wants AutoQA, real-time assist and coaching in one place. unitQ Support QA is the pick when outsourced teams also need one independent scorecard and AI agents need an independent audit.
- Semantic AutoQA across voice, chat, and email for real call volume
- Real-time agent assist with live guidance and supervisor alerts
- Auto-generated coaching plans and workforce optimization for an existing QA team
- unitQ Support QA scores 100% of your support conversations, not a sample, so coverage doesn't depend on reviewer hours.
- unitQ Support QA leads on scoring accuracy: every check has a plain-language definition, fail values and worked examples, and you validate it in Testbench on your own past conversations next to your own reviewers before it goes live.
- An independent grader that isn't tied to the vendor whose bot or agents it scores
- Custom rubrics in Tag Studio, checked on real conversations in Testbench
- Bot conversation checks configured for your workspace
- All your support channels (chat, email, messaging, voice, IVR) via integrations such as Zendesk, Salesforce Service Cloud, Intercom, Freshdesk, Kustomer, Amazon Connect and Five9
- As many rubrics and scorecards as your policies require, shared across in-house teams, BPOs and AI agents or with bot-specific checks
- Evidence linked to every scored miss
Independent support QA
unitQ Support QA is an independent grader for support conversations. unitQ Support QA scores 100% of your support conversations, not a sample, so coverage doesn't depend on reviewer hours. unitQ Support QA supports all your support channels, including chat, email, messaging, voice and IVR (automated phone menus), through integrations with platforms such as Zendesk, Salesforce Service Cloud, Intercom, Freshdesk, Kustomer, Amazon Connect and Five9. It grades those conversations on your standards, runs as many rubrics and scorecards as your policies require, scores AI agents on a shared standard or on bot-specific rubrics, and backs every miss with evidence from the conversation. unitQ also offers unitQ Monitor, unitQ Impact, unitQ Compete, unitQ Research and unitQ Social.
From every customer signal to one quality score
Point tools hand you six dashboards and leave you to connect them. unitQ runs every signal through one intelligence layer in real time, so an issue caught in support flows into your metrics, your competitive benchmarks, and your roadmap. Hover or tap a product to see its job.
Every signal flows through unitQ into the six products below. Hover or tap a product to see its job.
Questions to ask Level AI before you buy
unitQ Support QA scores 100% of your support conversations, not a sample, so coverage doesn't depend on reviewer hours.
Your team owns the rubric in Tag Studio. Each check has a plain-language definition, fail values and worked examples, and rubric groups can be weighted. You can attach policy or SOP docs as reference.
Try a check on real past conversations in Testbench before it goes live. Your team edits checks as drafts, and unitQ sets a check live when you're ready.
Pass/fail checks for required steps and policy adherence, not just tone and empathy, with every miss linked to the conversation. It grades what shows in the conversation.
Pass/fail compliance checks you define, such as required disclosures, privacy handling and policy adherence.
unitQ Support QA leads on scoring accuracy: every check has a plain-language definition, fail values and worked examples, and you validate it in Testbench on your own past conversations next to your own reviewers before it goes live.
Each check is scored on each conversation, rolled up into one quality score with competency and compliance views, and broken down by contact reason, team, BPO vendor, region, manager and agent. Breakdowns depend on the team and vendor mapping set up for your workspace.
Managers get an evidence-linked coaching brief per agent and a roster of strengths and gaps by skill. Results roll up by team, manager and BPO vendor. AI-agent conversations get their own bot audit, with findings and a suggested owner such as conversation design.
The Coaching overview tracks coaching sessions, session rate, coached vs pending vs past-due, focus areas and history by manager, and follows coached agents' scores after a session.
They solve adjacent problems. Level AI optimizes contact-center performance with AutoQA, real-time assist and coaching. unitQ Support QA grades in-house and BPO teams on as many rubrics and scorecards as your policies require and scores AI agents on a shared standard or on bot-specific rubrics. If live call coaching is the goal, that's Level AI's home turf.
No. Live, in-call guidance is Level AI's strength. unitQ Support QA scores conversations and backs every miss with evidence for coaching and bot fixes.
unitQ Support QA scores AI agents on a shared standard or on bot-specific rubrics, independent of the vendor that built them. Ask Level AI how it covers AI agents from other vendors.
Yes. Teams that use Level AI for contact-center work can use unitQ Support QA to score 100% of the support conversations they connect. unitQ Support QA supports all your support channels, including chat, email, messaging, voice and IVR (automated phone menus), through integrations with platforms such as Zendesk, Salesforce Service Cloud, Intercom, Freshdesk, Kustomer, Amazon Connect and Five9. AI-agent conversations are scored on a shared standard or on bot-specific rubrics, whichever your policies require.
unitQ doesn't publish pricing for unitQ Support QA.
Talk to unitQ about an evaluation on your own data. If you're running a POC of AI agents, the free AI agent POC playbook shows how to grade every vendor on a rubric you own.
Setup covers connecting the support conversations you want graded, drafting your checks in Tag Studio, the rubric editor in unitQ Support QA, and trying each check on real past conversations in Testbench before it goes live. Your team saves and edits checks as drafts, and unitQ sets a check live when you're ready. For AI agents, Bot Audit is configured for your workspace during setup. Talk to unitQ about an evaluation on your own data.
Yes. unitQ Support QA scores AI-agent conversations on a shared standard or on bot-specific rubrics, whichever your policies require, independent of the vendor that sold the bot. Checks look at whether containment was real, and flag wrong information, loops, escalations that shouldn't have happened and inaccurate resolutions, plus how often conversations recover after reaching a person. Bot Audit is configured for your workspace during setup.
unitQ Support QA scores 100% of your support conversations, not a sample, so coverage doesn't depend on reviewer hours. unitQ Support QA supports all your support channels, including chat, email, messaging, voice and IVR (automated phone menus), through integrations with platforms such as Zendesk, Salesforce Service Cloud, Intercom, Freshdesk, Kustomer, Amazon Connect and Five9.
See unitQ Support QA
Run as many rubrics and scorecards as your policies require: one shared standard for in-house teams, BPOs and AI agents, or bot-specific checks for loops, false containment and handoffs.