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Overview

This guide covers administration of the AI Compliance Advisor feature, including enabling AI, managing suggestions, reviewing AI outputs, and configuring settings.

Enabling AI Features

Prerequisites

  • Organization administrator or compliance officer role
  • Access to GR module settings

Default State

The AI Compliance Advisor is enabled by default for every organization as of June 12, 2026. You do not need to opt in. The four GR AI surfaces (gap analysis, audit preparation, AI suggestions, AI prompts) render automatically once a user has the right module permissions. Skip to Managing AI Suggestions unless you need to turn the advisor off.

Re-enable AI for Your Organization

If a previous admin disabled the advisor and you want it back:
1
  • Navigate to GR → Settings
  • Click the AI tab
  • Toggle Enable AI Compliance Advisor to ON
  • Click Save Changes
  • Once enabled, AI features will be available to all GR module users.

    Disable AI Features

    To disable AI for your organization:
    1
  • Navigate to GR → Settings → AI
  • Toggle Enable AI Compliance Advisor to OFF
  • Click Save Changes
  • Note: Disabling AI does not delete existing AI-generated data. Users will retain access to previously generated suggestions.

    Managing AI Suggestions

    Review Workflow

    As a compliance officer, you are responsible for reviewing AI-generated suggestions before they are implemented. Review Process:
    1
  • Navigate to GR → AI → Suggestions
  • Filter by Status: Pending to see unreviewed suggestions
  • Click on a suggestion to review details
  • Take action:
    • Accept: Marks suggestion as approved, may create related records
    • Reject: Dismisses suggestion with a documented reason
    • Defer: Saves for later review

    Bulk Actions

    For multiple suggestions:
    1. Select suggestions using checkboxes
    2. Use bulk action buttons:
      • Accept Selected
      • Reject Selected (prompts for reason)

    Suggestion Lifecycle


    Reviewing AI Gap Analyses

    Gap Analysis Workflow

    1
  • Generate: User or scheduled job triggers gap analysis
  • Review: Compliance officer reviews findings
  • Validate: Confirm or adjust gap severity/priority
  • Action: Create remediation tasks or dismiss false positives
  • Managing Gap Analyses

    1
  • Navigate to GR → AI → Gap Analysis
  • View analyses by requirement or date
  • For each gap:
    • Verify accuracy against actual compliance status
    • Adjust priority if needed
    • Create remediation action or dismiss

    Creating Remediation from Gaps

    1
  • Open a gap analysis result
  • Click Create Remediation on any gap item
  • The system pre-fills:
    • Description from gap analysis
    • Suggested actions as tasks
    • Priority based on gap priority
  • Assign owner and due date
  • Save to create remediation record

  • Audit Preparation Management

    Managing AI Audit Prep

    1
  • Navigate to GR → AI → Audit Prep
  • View preparation assessments by audit
  • For each assessment:
    • Review readiness score and narrative
    • Validate checklist items
    • Assign checklist items to staff
    • Track completion

    Readiness Score Interpretation

    Exporting Audit Prep

    • Click Export to generate a PDF or Excel checklist
    • Use for team distribution and tracking
    • Include in audit preparation documentation

    AI Risk Assessment Management

    Managing AI Risk Assessments

    1
  • Navigate to GR → AI → Risk Assessment
  • View assessments by risk
  • For each assessment:
    • Compare AI scores with current risk scores
    • Validate or adjust likelihood/impact
    • Review suggested mitigation strategy
    • Create mitigation actions if appropriate

    Applying AI Recommendations

    When accepting an AI risk assessment:
    1
  • Open the assessment details
  • Click Apply to Risk
  • Select which values to update:
    • Likelihood score
    • Impact score
    • Mitigation strategy
  • Add any manual adjustments
  • Save to update the risk record

  • AI Prompt Templates

    The AI uses specialized prompts for different functions. Understanding these helps interpret outputs.

    Compliance Chat

    • General compliance guidance
    • Regulatory interpretation
    • Documentation requirements
    • Best practices

    Requirement Identification

    Identifies applicable requirements based on:
    • Organization type
    • Accreditations held
    • State of operation
    • Services provided

    Gap Analysis

    Analyzes gaps considering:
    • Evidence gaps (missing documentation)
    • Check gaps (missing verifications)
    • Training gaps (staff training needs)
    • Policy gaps (missing/outdated policies)

    Audit Preparation

    Assesses readiness based on:
    • Audit type (CARF, State, CMS)
    • Historical findings
    • Current compliance status
    • Documentation completeness

    Risk Assessment

    Evaluates risks using:
    • Likelihood (1-5 scale)
    • Impact (1-5 scale)
    • Risk matrix calculation
    • Mitigation strategy recommendations

    AI Model Information

    The AI Compliance Advisor uses Lovable AI, which provides access to advanced language models.

    Models Used

    • Default: Google Gemini 2.5 Flash (balanced speed/quality)
    • Complex analysis may use higher-capability models

    Model Capabilities

    • Regulatory knowledge (CARF, Joint Commission, CMS, HIPAA, SAMHSA)
    • State licensing requirements
    • Compliance best practices
    • Gap identification
    • Risk assessment methodology

    Model Limitations

    • Knowledge may not include latest regulatory updates
    • Cannot access external databases or real-time data
    • Provides guidance, not legal advice
    • May not know state-specific variations for all states

    Best Practices

    Getting Accurate AI Results

    1
  • Provide Context: When using AI chat, include relevant details:
    • Organization type (recovery housing, behavioral health)
    • Accreditations (CARF, Joint Commission)
    • State of operation
    • Specific services offered
  • Be Specific: Ask targeted questions rather than broad ones:
    • ✅ “What are CARF documentation requirements for medication management?”
    • ❌ “Tell me about CARF”
  • Verify Outputs: Always validate AI suggestions against:
    • Current regulatory standards
    • State-specific requirements
    • Your organization’s specific context
  • Use Confidence Scores: Pay attention to confidence levels:
    • High confidence (80%+): Likely accurate
    • Lower confidence: Requires more validation

    Reviewing AI Suggestions Efficiently

    1
  • Prioritize by Type: Review in this order:
    • Critical priority items first
    • Requirement suggestions (new compliance needs)
    • Gap suggestions (current deficiencies)
    • Remediation suggestions (action items)
  • Batch Similar Items: Group related suggestions for efficient review
  • Document Rejections: When rejecting, provide clear reasons to:
    • Inform future AI improvements
    • Maintain audit trail
    • Help other reviewers understand decisions

    Data Privacy

    What Data is Sent to AI

    • Anonymized organizational context
    • Regulatory framework references
    • Compliance questions and queries
    • Never: PHI, PII, or identifying information

    Data Protection

    • All AI interactions are logged for audit purposes
    • No patient/resident identifiable information is included
    • AI suggestions are stored in your organization’s database
    • Data remains within your organization’s tenant

    PHI Protection

    The system automatically:
    • Uses anonymized references (e.g., “Resident R-001”)
    • Strips identifying information from prompts
    • Blocks queries that appear to contain PHI

    Rate Limits & Usage

    Understanding Rate Limits

    AI features have usage limits to ensure fair access:

    Managing Usage

    • Monitor usage through the AI dashboard
    • Prioritize AI use for high-value activities
    • Use batch operations when possible
    • Cache results rather than regenerating

    Troubleshooting

    Common Issues

    AI Not Working

    1
  • Verify AI is enabled: GR → Settings → AI
  • Check for error messages in the UI
  • Try a simple test query in AI Chat
  • Check network connectivity
  • Contact system administrator if issues persist
  • Reporting AI Issues

    To report problems with AI outputs:
    1
  • Note the specific suggestion/analysis ID
  • Document what was incorrect
  • Provide the expected correct answer if known
  • Submit feedback through the suggestion interface

  • Module Settings Reference

    AI Settings Tab

    Other GR settings that affect AI behavior:
    • Organization type and accreditations (contextual)
    • State of operation (regulatory context)
    • Services offered (requirement filtering)

    Security Considerations

    Access Control

    • All org members can view AI suggestions
    • All org members can generate AI content
    • Only compliance officers can accept/reject suggestions
    • Only compliance officers can delete AI data

    Audit Trail

    All AI interactions are logged including:
    • User who triggered generation
    • Timestamp
    • Input context
    • Generated output
    • Accept/reject decisions with reasons

    Data Retention

    AI-generated data follows your organization’s data retention policies. To remove AI data:
    1
  • Navigate to the AI dashboard
  • Select items to delete
  • Confirm deletion (compliance officer only)