Salesforce Quality Clouds Capabilities
Govern AI
The governance layer between the AI that builds and the production environment it deploys into AI Governance
AI agents are now writing enterprise software at a rate no human review process can match. 94% of AI code suggestions are accepted without review. The volume of AI-generated code entering production environments is accelerating — and most organisations cannot distinguish which code was produced by a person and which was produced by an agent.
The governance question is not whether AI can produce code. It is whether that code was produced under the right policy, with the right human accountability, and with a provable audit trail — regardless of which tool generated it.
Quality Clouds answers that question. LivecheckAI — powered by the Model Context Protocol — acts as the control point between AI and your platform: validating AI-generated code, configurations, and changes in real time against your governance rules, before they are implemented. No change is written to an instance without explicit human approval.
The governance record is origin-agnostic. Whether the code came from Now Assist, Agentforce, Cursor, Claude Code, a human developer, or a contractor, the accountability layer records the same thing: what your organisation decided to do about each finding, who made that decision, under which policy, and when. AI provenance — capturing which specific model generated which artefact — is on the product roadmap as that metadata matures across AI coding environments.
This is the system of record for AI-generated code — the auditable source of truth enterprises need to trust the output of their AI tools. It works across Now Assist, Agentforce, Cursor, Claude Code, GitHub Copilot, Lovable, Replit, and any AI development tool that generates code in your environment.
Key benefits
Real-time governance of AI-generated code at the point of generation — not after deployment
Human-in-the-loop approval gate: no change reaches an instance without explicit sign-off
Governance decision record: policy enforced, approver identity, decision timestamp, finding lifecycle — independent of code origin
Operates across any AI development tool — Now Assist, Agentforce, Cursor, Claude Code, Copilot, Lovable, Replit
LivecheckAI integrates via MCP — governance is present in the AI tool, not a separate platform you navigate to
Produces governance data your compliance teams can apply to DORA, EU AI Act, SOC 2, and ISO 27001 programmes
Feeds governance signals into ServiceNow AI Control Tower for enterprise-wide AI agent oversight

Govern AI
The governance layer between the AI that builds and the production environment it deploys into AI Governance
AI agents are now writing enterprise software at a rate no human review process can match. 94% of AI code suggestions are accepted without review. The volume of AI-generated code entering production environments is accelerating — and most organisations cannot distinguish which code was produced by a person and which was produced by an agent.
The governance question is not whether AI can produce code. It is whether that code was produced under the right policy, with the right human accountability, and with a provable audit trail — regardless of which tool generated it.
Quality Clouds answers that question. LivecheckAI — powered by the Model Context Protocol — acts as the control point between AI and your platform: validating AI-generated code, configurations, and changes in real time against your governance rules, before they are implemented. No change is written to an instance without explicit human approval.
The governance record is origin-agnostic. Whether the code came from Now Assist, Agentforce, Cursor, Claude Code, a human developer, or a contractor, the accountability layer records the same thing: what your organisation decided to do about each finding, who made that decision, under which policy, and when. AI provenance — capturing which specific model generated which artefact — is on the product roadmap as that metadata matures across AI coding environments.
This is the system of record for AI-generated code — the auditable source of truth enterprises need to trust the output of their AI tools. It works across Now Assist, Agentforce, Cursor, Claude Code, GitHub Copilot, Lovable, Replit, and any AI development tool that generates code in your environment.
Key benefits
Real-time governance of AI-generated code at the point of generation — not after deployment
Human-in-the-loop approval gate: no change reaches an instance without explicit sign-off
Governance decision record: policy enforced, approver identity, decision timestamp, finding lifecycle — independent of code origin
Operates across any AI development tool — Now Assist, Agentforce, Cursor, Claude Code, Copilot, Lovable, Replit
LivecheckAI integrates via MCP — governance is present in the AI tool, not a separate platform you navigate to
Produces governance data your compliance teams can apply to DORA, EU AI Act, SOC 2, and ISO 27001 programmes
Feeds governance signals into ServiceNow AI Control Tower for enterprise-wide AI agent oversight

Empower Developers & Admins
Governance in the workflow — not a checkpoint outside it
Development and administration teams build under pressure to deliver. When governance is a separate process — something to navigate at the end of a sprint or before a release — it creates friction, slows delivery, and is frequently bypassed.
Quality Clouds embeds governance directly into the tools where development happens. Through LivecheckAI integration with Visual Studio Code, Salesforce Studio, and ServiceNow Studio, developers and admins receive real-time policy feedback as they write — before any commit, before any pipeline run, before any deployment. Issues surface at the moment of creation, not after the fact.
Governance becomes part of the workflow. Not an external control. Not a blocker. Infrastructure that is present by default — ensuring that every change, from every team member, meets the organisation's own standards before it moves forward.
Key benefits
* Real-time governance feedback inside VS Code, Salesforce Studio, and ServiceNow Studio
* Issues surfaced at the point of creation — before commit, before pipeline, before deployment
* Seamless integration with your DevOps toolchain and CI/CD ecosystems
* Consistent governance for professional developers, citizen builders, and AI-assisted workflows
* Reduces rework by catching policy violations at the earliest possible stage
* Governance as infrastructure — present by default, not bolted on as an afterthought

Empower Developers & Admins
Governance in the workflow — not a checkpoint outside it
Development and administration teams build under pressure to deliver. When governance is a separate process — something to navigate at the end of a sprint or before a release — it creates friction, slows delivery, and is frequently bypassed.
Quality Clouds embeds governance directly into the tools where development happens. Through LivecheckAI integration with Visual Studio Code, Salesforce Studio, and ServiceNow Studio, developers and admins receive real-time policy feedback as they write — before any commit, before any pipeline run, before any deployment. Issues surface at the moment of creation, not after the fact.
Governance becomes part of the workflow. Not an external control. Not a blocker. Infrastructure that is present by default — ensuring that every change, from every team member, meets the organisation's own standards before it moves forward.
Key benefits
* Real-time governance feedback inside VS Code, Salesforce Studio, and ServiceNow Studio
* Issues surfaced at the point of creation — before commit, before pipeline, before deployment
* Seamless integration with your DevOps toolchain and CI/CD ecosystems
* Consistent governance for professional developers, citizen builders, and AI-assisted workflows
* Reduces rework by catching policy violations at the earliest possible stage
* Governance as infrastructure — present by default, not bolted on as an afterthought

Accountability Layer
The auditable record of every governance decision — who decided what, and why
Detection is a commodity. Every AI tool can surface policy violations. What regulated enterprises need is not a list of problems — it is an auditable record of every decision made in response to those problems: who accepted a risk, under which rule, with whose sign-off, and when that acceptance expires.
Quality Clouds Debt Manager is that record. It maintains a complete, line-item ledger of every policy violation across your ServiceNow and Salesforce instances — each finding linked directly to the configuration element that triggered it, the rule it violated, the team that owns it, and the time elapsed since detection. This is not a dashboard with aggregated scores. It is a ledger that an auditor can trace from any finding back to the rule, the artefact, the responsible team, and every governance decision made along the way.
Accepting a known violation is a governance decision. Debt Manager enforces that decision through a segregation-of-duties workflow: one person requests a write-off with a reason code and justification; a different person approves or rejects with their own documented rationale. Both identities and both timestamps are captured separately. Every exemption carries an expiration date — including an explicit "Never" option when permanent acceptance is the deliberate choice. No exemption exists without two distinct human decisions.
Every finding moves through a four-state lifecycle: Open → Pending Write Off → Written Off → Closed. No finding skips a state. The lifecycle is the audit trail.
The entire ledger exports to SARIF — the OASIS standard that DevSecOps pipelines, SIEM platforms, and audit tooling already consume. This transforms Quality Clouds from a governance tool into a governance signal: structured, machine-readable regulatory evidence that feeds directly into your DORA Article 9 evidence pack, your SOC 2 audit bundle, or your EU AI Act documentation set. XLS export is also available for compliance teams that need human-readable formats. Debt Manager runs on both ServiceNow and Salesforce — same workflow, same lifecycle, same export. One accountability record across both platforms.
Key benefits
Complete line-item ledger of every policy violation — not an aggregated dashboard
Segregation of duties: two distinct identities, two timestamps, documented justification for every exemption
Four-state finding lifecycle: Open → Pending Write Off → Written Off → Closed — no finding skips a state
Every exemption carries an expiration date — risk acceptance has a defined horizon, not an indefinite pass
SARIF export: machine-readable governance data that feeds directly into DORA evidence packs, SOC 2 bundles, and EU AI Act documentation
XLS export for human-readable compliance review
Runs on ServiceNow and Salesforce — one accountability record across both platforms
Produces governance data applicable to DORA Article 9, the EU AI Act, SOC 2, ISO 27001, and FCA documentation programmes

Accountability Layer
The auditable record of every governance decision — who decided what, and why
Detection is a commodity. Every AI tool can surface policy violations. What regulated enterprises need is not a list of problems — it is an auditable record of every decision made in response to those problems: who accepted a risk, under which rule, with whose sign-off, and when that acceptance expires.
Quality Clouds Debt Manager is that record. It maintains a complete, line-item ledger of every policy violation across your ServiceNow and Salesforce instances — each finding linked directly to the configuration element that triggered it, the rule it violated, the team that owns it, and the time elapsed since detection. This is not a dashboard with aggregated scores. It is a ledger that an auditor can trace from any finding back to the rule, the artefact, the responsible team, and every governance decision made along the way.
Accepting a known violation is a governance decision. Debt Manager enforces that decision through a segregation-of-duties workflow: one person requests a write-off with a reason code and justification; a different person approves or rejects with their own documented rationale. Both identities and both timestamps are captured separately. Every exemption carries an expiration date — including an explicit "Never" option when permanent acceptance is the deliberate choice. No exemption exists without two distinct human decisions.
Every finding moves through a four-state lifecycle: Open → Pending Write Off → Written Off → Closed. No finding skips a state. The lifecycle is the audit trail.
The entire ledger exports to SARIF — the OASIS standard that DevSecOps pipelines, SIEM platforms, and audit tooling already consume. This transforms Quality Clouds from a governance tool into a governance signal: structured, machine-readable regulatory evidence that feeds directly into your DORA Article 9 evidence pack, your SOC 2 audit bundle, or your EU AI Act documentation set. XLS export is also available for compliance teams that need human-readable formats. Debt Manager runs on both ServiceNow and Salesforce — same workflow, same lifecycle, same export. One accountability record across both platforms.
Key benefits
Complete line-item ledger of every policy violation — not an aggregated dashboard
Segregation of duties: two distinct identities, two timestamps, documented justification for every exemption
Four-state finding lifecycle: Open → Pending Write Off → Written Off → Closed — no finding skips a state
Every exemption carries an expiration date — risk acceptance has a defined horizon, not an indefinite pass
SARIF export: machine-readable governance data that feeds directly into DORA evidence packs, SOC 2 bundles, and EU AI Act documentation
XLS export for human-readable compliance review
Runs on ServiceNow and Salesforce — one accountability record across both platforms
Produces governance data applicable to DORA Article 9, the EU AI Act, SOC 2, ISO 27001, and FCA documentation programmes

Fix Issues Faster
Automatically remediate governance violations — before they reach production
Finding a governance violation is table stakes. Every AI tool can surface issues. What matters is what happens next: whether the violation is remediated before it reaches production, consistently, at the speed of AI-accelerated development.
Quality Clouds AutoFix capabilities automatically resolve common governance violations across your platform — reducing the time and effort required to maintain policy compliance from weeks to minutes. AI-assisted remediation recommendations and automated workflows apply fixes consistently across environments, without requiring manual intervention for every instance.
This is where AI Code Governance is heading: from anticipation and policy enforcement before the agent acts, to automatic remediation at the point of generation. Quality Clouds governs what AI builds — and increasingly, corrects it before it ever becomes a problem.
Key benefits
Automatically remediate common governance and quality violations across platform instances
Reduce remediation time from weeks to minutes
Consistent fix application across environments — no manual rework, no policy drift
AI-assisted remediation recommendations aligned to your own rule set, not generic patterns
Reduces technical debt backlog without diverting teams from strategic delivery
Up to 90% reduction in deployment security incidents

Fix Issues Faster
Automatically remediate governance violations — before they reach production
Finding a governance violation is table stakes. Every AI tool can surface issues. What matters is what happens next: whether the violation is remediated before it reaches production, consistently, at the speed of AI-accelerated development.
Quality Clouds AutoFix capabilities automatically resolve common governance violations across your platform — reducing the time and effort required to maintain policy compliance from weeks to minutes. AI-assisted remediation recommendations and automated workflows apply fixes consistently across environments, without requiring manual intervention for every instance.
This is where AI Code Governance is heading: from anticipation and policy enforcement before the agent acts, to automatic remediation at the point of generation. Quality Clouds governs what AI builds — and increasingly, corrects it before it ever becomes a problem.
Key benefits
Automatically remediate common governance and quality violations across platform instances
Reduce remediation time from weeks to minutes
Consistent fix application across environments — no manual rework, no policy drift
AI-assisted remediation recommendations aligned to your own rule set, not generic patterns
Reduces technical debt backlog without diverting teams from strategic delivery
Up to 90% reduction in deployment security incidents

Don't just follow the change. Lead it
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Don't just follow the change. Lead it
Subscribe to our newsletter
Don't just follow the change. Lead it
Subscribe to our newsletter