Customer Support · head to head
Level AI vs Really Simple Systems

Level AI
Customer Support
AI quality assurance and agent assist for mid-market and enterprise contact centres
- From
- On request
- Free plan
- No
The short version
- Each has a real cost: 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.; Really Simple Systems the vendor's own pricing page as captured by the Internet Archive on 22 October 2019 listed four CRM tiers billed annually: Free at $0 for up to 2 users, Starter at $14 per user per month, Professional at $30 per user per month, and Enterprise at $46 per user per month (each roughly 7 to 10 percent higher if billed monthly); the Marketing add-on was $22 per month for up to 5,000 emails and Advanced Marketing scaled to 50,000 emails per month, though this capture is over five years old
- They diverge on capability: Level AI covers Automated QA scoring, Really Simple Systems covers Contact management.
- Prices and features above were last checked on 31 August 2026.
Where they differ
Only the attributes on which Level AI and Really Simple Systems actually diverge.
| Attribute | Level AI | Really Simple Systems |
|---|---|---|
| Starting price | On request | $15/month |
| Pricing model | quote | subscription |
| Category | Customer Support | CRM |
| Founded | Unknown | 2009 |
Identical on both: free tier (No), platforms (Web), user rating (Not yet rated).
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 Level AI
- Automated QA scoring
- Semantic intent search
- Agent assist
- Coaching workflows
- Custom scorecards
- Voice of customer analytics
- Dispute and calibration
- CCaaS integrations
Only in Really Simple Systems
- Contact management
- Sales pipeline
- Task management
- Email integration
- Reporting
- Zapier
- Google Workspace
- GDPR
What people use each for
The jobs each tool is most often brought in to do.
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 Really Simple Systems
- A regulated financial services contact centre that must evidence disclosure wording on every recorded call rather than on a samplenot Really Simple Systems
- A support operation onboarding a new outsourced site and needing week-one visibility into how the vendor agents actually handle contactsnot Really Simple Systems
- A CX team trying to work out why average handle time rose 20 per cent by clustering contact drivers across a quarter of interactionsnot Really Simple Systems
Really Simple Systems
- Sales managementnot Level AI
- Contact trackingnot Level AI
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
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.
Really Simple Systems
- The vendor's own pricing page as captured by the Internet Archive on 22 October 2019 listed four CRM tiers billed annually: Free at $0 for up to 2 users, Starter at $14 per user per month, Professional at $30 per user per month, and Enterprise at $46 per user per month (each roughly 7 to 10 percent higher if billed monthly); the Marketing add-on was $22 per month for up to 5,000 emails and Advanced Marketing scaled to 50,000 emails per month, though this capture is over five years old
Pricing, plan by plan
Level AI
On request- Level AI$undefined/year
- Automated QA on all interactions
- Custom scorecards
- Semantic search
Really Simple Systems
$15/month- Essential$15/month
- Contact management
- Task tracking
- Professional$25/month
- Everything in Essential
- Sales pipeline
- Reporting
- Professional Plus$35/month
- Everything in Professional
- Advanced customization
Which should you pick?
Choose Level AI if
- You need automated qa scoring.
- You also want semantic intent search.
Choose Really Simple Systems if
- You need contact management.
- You also want sales pipeline.
Questions people ask
- Is Level AI or Really Simple Systems better?
- Neither clearly leads. Level AI starts at On request and Really Simple Systems at $15/month, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Level AI or Really Simple Systems?
- Level AI starts at On request and Really Simple Systems at $15/month.
- Does Level AI or Really Simple Systems run on more platforms?
- Both run on Web, so platform support will not decide this one for you.
- What is Level AI best used for?
- Level AI is most often used for a 400-seat support organisation reviewing 2 per cent of calls manually and wanting compliance coverage across the whole volume without adding qa headcount, a regulated financial services contact centre that must evidence disclosure wording on every recorded call rather than on a sample, a support operation onboarding a new outsourced site and needing week-one visibility into how the vendor agents actually handle contacts, a cx team trying to work out why average handle time rose 20 per cent by clustering contact drivers across a quarter of interactions. Of those, a 400-seat support organisation reviewing 2 per cent of calls manually and wanting compliance coverage across the whole volume without adding qa headcount and a regulated financial services contact centre that must evidence disclosure wording on every recorded call rather than on a sample are not what Really Simple Systems is typically brought in for.
- What can Level AI do that Really Simple Systems cannot?
- Level AI covers Automated QA scoring, Semantic intent search, Agent assist, Coaching workflows. Really Simple Systems covers Contact management, Sales pipeline, Task management, Email integration.
Answered from the vendors’ own pages
Level 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.
Level 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.
Related pages
More on Really Simple Systems
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