Quality Clouds Hub
Summary
Ninety-four percent of AI code suggestions get accepted without review — and on a Salesforce or ServiceNow org where citizen builders, pro developers, and AI agents are all committing logic simultaneously, there is no audit process fast enough to catch what slips through. Quality Clouds is the governance layer built specifically for that gap.
The platform scans code, configuration, and AI-generated logic across Salesforce, ServiceNow, Dynamics, and related enterprise platforms, flagging issues before they reach production. Its LivecheckAI feature surfaces problems inside VS Code as Agentforce or similar tools generate code, so the check happens at creation, not at deployment. Governance scoring tracks technical debt over time and can be tied to stakeholder-facing badges for regulated industry reporting. The coverage is deliberately narrow: if your stack lives outside these enterprise SaaS platforms, the tool has nothing to scan. Teams outside the Salesforce or ServiceNow ecosystem will hit that boundary immediately.
Bottom line: Quality Clouds fits squarely when your risk is ungoverned code accumulating inside a Salesforce or ServiceNow org; it offers nothing to teams whose AI code governance problem lives in a custom Python or Node.js stack.
Pricing Plans
Subscription- Free Tier
- 5 full scans per week, 1 workspace, 1 repo connection
FREE
For solo developers and freelancers
- 5 full scans per week
- 1 workspace
- 1 repo connection
- Quality Clouds–shipped checks
- Production-ready badge
PRO
For small teams of 2–10
- 100 full scans per month shared
- Unlimited users
- 3 workspaces
- 10 repo connections
- Custom SOLID policies
- Preflight (MCP)
ENTERPRISE
For mid-market and regulated industries
- 100 scans per user per month dedicated
- 10 workspaces
- Unlimited repo connections
- Advanced custom policies
- Compliance frameworks
- PR gate runs
- Priority support + SLA
View full pricing on qualityclouds.ai →
Pricing may have changed since last verified. Check the official site for current plans.
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Pros
Sign in to edit- LivecheckAI runs policy checks inside VS Code at the moment AI code is generated, so violations surface before a single line is committed rather than discovered in a post-deployment audit.
- Governance scoring tracks technical debt over time and produces production-ready badges, which means compliance and security teams get a reportable artifact without building a separate audit pipeline.
- Coverage spans code, configuration, and AI-generated logic in the same scan, so teams do not need separate tools for Salesforce Apex, declarative configuration, and AI-assisted flows.
- Custom policy enforcement — including complexity limits — means platform governance teams can encode org-specific standards rather than accepting only default rulesets.
- Freemium access via shared scan pools lets a small team validate the tool against a real org before any budget conversation, reducing the evaluation risk of enterprise tooling.
Cons
Sign in to edit- The platform covers Salesforce, ServiceNow, and Dynamics; teams whose AI code governance problem involves Python microservices, Node.js APIs, or any custom application stack will find zero applicable scanning surface — at that point they are evaluating a different category of tool entirely.
- The shared scan pool structure on the free tier introduces queue contention at scale; teams running frequent scans across large orgs will hit throughput ceilings that push them to paid-only capacity, and the page provides no specifics on queue depth or scan frequency limits.
- There is no self-hosted option, which means all code and configuration being scanned transits Quality Clouds' infrastructure — for teams in industries with data residency mandates or strict third-party data-sharing restrictions, that is a procurement blocker that no feature set resolves.
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About
- Platforms
- Web application on Microsoft Azure
- API Available
- No
- Self-Hosted
- No
- Last Updated
- 2026-07-04T10:30:22.217Z
Best For
Who it's for
- Enterprise teams using Salesforce or ServiceNow
- Organizations needing AI code governance
- Regulated industries requiring compliance frameworks
What it does well
- Auditing code quality on Salesforce and ServiceNow instances
- Preventing issues in AI-generated code before production
- Tracking technical debt with governance scoring
- Enforcing custom policies like complexity limits in teams
- Obtaining production-ready badges for stakeholder reporting
Integrations
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Frequently Asked Questions
- Is Quality Clouds Hub free?
- Quality Clouds Hub is a paid tool. No permanent free tier is offered.
- Is Quality Clouds Hub open source?
- No — Quality Clouds Hub is a closed-source tool. Source code is not publicly available.
- What platforms does Quality Clouds Hub support?
- Quality Clouds Hub is available on: Web application on Microsoft Azure.
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Curated lists that include this category
Quality Clouds positions itself as a governance layer that sits between creation and production across enterprise SaaS platforms — Salesforce, ServiceNow, and Dynamics among them. The core workflow is scan-and-score: the platform analyzes code and configuration in those environments against configurable quality and security rules, returns a governance score, and surfaces violations that would otherwise persist undetected. The vendor describes this as the ‘Super Human Layer,’ a check that exists regardless of whether the logic was written by a senior developer, a citizen builder using low-code tools, or an AI agent.
The differentiating feature the vendor emphasizes is LivecheckAI, described as real-time analysis of AI-generated code inside VS Code — specifically called out for Salesforce’s Agentforce. The argument is that preflight injection at the editor level catches issues the moment code is suggested, before it is committed anywhere. The vendor cites that 1 in 6 lines of AI-generated code contains maintenance or security issues, and 45% of AI-generated code contains at least one security flaw, making the point that post-commit audits are structurally too slow for current velocity.
Quality Clouds fits teams in regulated industries who need to show auditors a documented, scored governance trail across their enterprise platform footprint. The freemium entry point, described as shared scan pools, gives small teams a starting point before committing to paid tiers. The hard boundary is platform scope: the tool’s value is entirely contingent on your code living inside the platforms it covers. Custom application stacks, open-source frameworks, or cloud-native microservices architectures are outside what the page describes as supported.
