Customer Support · head to head
Dixa vs Level AI

Level AI
Customer Support
AI quality assurance and agent assist for mid-market and enterprise contact centres
- From
- On request
- Rated
- -
The short version
- Each has a real cost: Dixa entry pricing is 89 EUR per agent per month, which is high against comparable help desks; Level AI pricing combines a per-agent fee, a platform licence and usage-based components, so the number quoted per agent is not the number you pay and budgets set from a per-seat figure alone come in short.
- They diverge on capability: Dixa covers Unified inbox, Level AI covers Automated QA scoring.
- Prices and features above were last checked on 31 August 2026.
Where they differ
Only the attributes on which Dixa and Level AI actually diverge.
Identical on both: free tier (No), user rating (Not yet rated), category (Customer Support).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in Dixa
- Unified inbox
- Smart routing
- Native phone
- Live chat
- Real-time analytics
- Agent workspace
- Shopify
- Salesforce
Only in Level AI
- Automated QA scoring
- Semantic intent search
- Agent assist
- Coaching workflows
- Custom scorecards
- Voice of customer analytics
- Dispute and calibration
- CCaaS integrations
What people use each for
The jobs each tool is most often brought in to do.
Dixa
- Omnichannel customer service across phone, email, chat and socialnot Level AI
- Routing conversations to agents by skill and customer datanot Level AI
Level AI
- A 400-seat support organisation reviewing 2 per cent of calls manually and wanting compliance coverage across the whole volume without adding QA headcountnot Dixa
- A regulated financial services contact centre that must evidence disclosure wording on every recorded call rather than on a samplenot Dixa
- A support operation onboarding a new outsourced site and needing week-one visibility into how the vendor agents actually handle contactsnot Dixa
- A CX team trying to work out why average handle time rose 20 per cent by clustering contact drivers across a quarter of interactionsnot Dixa
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Dixa
- Entry pricing is 89 EUR per agent per month, which is high against comparable help desks
- The AI agent is billed separately at 0.35 EUR per conversation on top of the seat price
- Skills based routing and advanced automations require the Ultimate plan at 139 EUR per agent
- SSO, custom user roles and auto redaction are Prime only at 179 EUR per agent
- There is no self serve trial, and the vendor states every rollout is guided
- Quality assurance and the AI co pilot are paid add ons on every tier
Level AI
- Pricing combines a per-agent fee, a platform licence and usage-based components, so the number quoted per agent is not the number you pay and budgets set from a per-seat figure alone come in short.
- Integration to each contact centre or CRM system is charged as a separate implementation fee, which means a team running voice on one platform and chat on another pays twice before a single interaction is scored.
- The unit economics do not work below roughly a hundred agents; smaller teams get quoted enterprise minimums that cost more than the QA analyst they were trying to avoid hiring.
- Automated scores are only as good as the scorecard behind them, and the calibration work to get semantic questions scoring consistently falls on your QA team over several weeks before anyone trusts the output.
- Transcription and semantic accuracy degrade on heavily accented speech, poor telephony audio and languages outside the main supported set, so multilingual operations often end up running manual QA in parallel for some queues anyway.
Pricing, plan by plan
Dixa
$39/month- Essential$39/month
- 3 channels
- Basic routing
- Agent workspace
- Growth$89/month
- All channels
- Advanced routing
- IVR
- Ultimate$139/month
- Everything in Growth
- Workforce management
- Quality assurance
Level AI
On request- Level AI$undefined/year
- Automated QA on all interactions
- Custom scorecards
- Semantic search
Which should you pick?
Choose Dixa if
- You need unified inbox.
- You work on Web, Ios, Android.
- You also want smart routing.
Choose Level AI if
- You need automated qa scoring.
- You also want semantic intent search.
Questions people ask
- Is Dixa or Level AI better?
- Neither clearly leads. Dixa starts at $39/month and Level AI at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Dixa or Level AI?
- Dixa starts at $39/month and Level AI at On request.
- Does Dixa or Level AI run on more platforms?
- Dixa runs on Web, Ios, Android. Level AI runs on Web.
- What is Dixa best used for?
- Dixa is most often used for omnichannel customer service across phone, email, chat and social, routing conversations to agents by skill and customer data. Of those, omnichannel customer service across phone, email, chat and social and routing conversations to agents by skill and customer data are not what Level AI is typically brought in for.
- What can Dixa do that Level AI cannot?
- Dixa covers Unified inbox, Smart routing, Native phone, Live chat. Level AI covers Automated QA scoring, Semantic intent search, Agent assist, Coaching workflows.
Answered from the vendors’ own pages
Dixa: How much does Dixa cost?
Dixa agent-based plans range from €89 to €179 per agent per month depending on tier and features, with AI priced separately at €0.35 per conversation.
SourceLevel AI: Does Level AI publish pricing?
No. Quotes are built per deployment from agent count, channel mix and product modules, and integration fees are added on top.
Dixa: Does Dixa charge per-seat AI add-ons?
No, Dixa charges a flat €0.35 per conversation for AI with no per-seat AI add-on fee and no volume cap, making costs scale with customer inquiries rather than team size.
SourceLevel AI: Can it replace our QA analysts?
It replaces the sampling and scoring work, not the judgement. Teams typically keep analysts for calibration, disputes and coaching design.
Level AI: Does it work without a cloud contact centre platform?
It needs recordings and metadata from somewhere. If your telephony does not expose those through an integration or API, this is not a fit.
Level AI: How long does implementation take?
Expect weeks, not days. Connecting systems is quick; getting scorecards calibrated to the point where team leaders act on the scores takes longer.
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