AI Content Generation - Disclosurely AI Features

Generate investigation summaries, communication templates, reports, policy recommendations, evidence summaries, and timelines using AI-powered automation.

Content Generation

AI-powered content generation transforms hours of investigation documentation into minutes. Automatically create investigation summaries, draft communication templates, generate comprehensive reports, and produce policy recommendations using intelligent AI that understands compliance and investigation best practices.

What is AI Content Generation?

Disclosurely's AI Content Generation engine automates the creation of investigation documentation, saving investigators significant time while maintaining professional quality and regulatory compliance. Instead of spending hours writing reports from scratch, investigators can generate comprehensive drafts in seconds and refine them as needed.

Key Capabilities:

  • Investigation Summaries: Concise overviews of complex cases for leadership review
  • Communication Templates: Professional messages for reporters, subjects, and stakeholders
  • Investigation Reports: Comprehensive documentation of findings and recommendations
  • Policy Recommendations: Suggested policy updates based on investigation insights
  • Evidence Summaries: Structured summaries of witness statements and documentation
  • Timeline Generation: Chronological event timelines from case notes and evidence

How AI Content Generation Works

Intelligent Document Creation

The AI analyzes your investigation data and generates contextually appropriate content:

  1. Data Ingestion: AI reviews case details, notes, evidence, and communications
  2. Context Understanding: Identifies case type, severity, parties involved, and key issues
  3. Template Selection: Chooses appropriate format and structure for the content type
  4. Content Generation: Creates professional, accurate draft content
  5. Compliance Checking: Ensures content meets regulatory requirements
  6. Human Review: Investigator reviews, edits, and approves before use

Content Quality Standards

Every AI-generated document includes:

  • Professional tone appropriate for compliance documentation
  • Factual accuracy based on case evidence
  • Regulatory compliance (GDPR, EU Directive, SOX requirements)
  • Clear structure with logical flow
  • Proper legal terminology and phrasing
  • Customizable for your organization's style

Key Features

1. Investigation Summaries

Generate executive summaries of investigations for leadership, board reporting, or case reviews.

What's Included:

  • Case overview and background
  • Key allegations and parties involved
  • Investigation activities performed
  • Findings and conclusions
  • Recommendations and next steps
  • Risk assessment summary

How to Generate:

  1. Open case in Disclosurely
  2. Click "Generate Summary" button
  3. Select summary type (Executive, Detailed, or Brief)
  4. Review AI-generated content
  5. Edit as needed
  6. Save and export (PDF, Word, or email)

Example Output:

INVESTIGATION SUMMARY

Case ID: WB-2024-0342
Type: Financial Misconduct - Expense Fraud
Status: Investigation Completed
Date: March 15, 2024

EXECUTIVE SUMMARY
This investigation examined allegations of systematic expense fraud by
a mid-level manager over an 18-month period. The investigation
substantiated the allegations, identifying $47,500 in fraudulent
expense claims. The subject has been terminated, and criminal referral
is recommended.

KEY FINDINGS
• Subject submitted 124 fraudulent expense claims totaling $47,500
• Fraudulent claims included personal expenses, inflated amounts, and
  duplicate submissions
• Pattern established through forensic accounting review
• No evidence of collusion with other employees

INVESTIGATION ACTIVITIES
• Reviewed 18 months of expense records
• Conducted interviews with 5 witnesses
• Forensic accounting analysis performed
• Examined credit card statements and receipts
• Reviewed approval workflows

RECOMMENDATIONS
1. Terminate subject's employment (completed)
2. Refer to law enforcement for criminal prosecution
3. Pursue civil recovery of funds
4. Implement enhanced expense audit controls
5. Provide fraud awareness training to managers
6. Review expense approval workflows

POLICY IMPLICATIONS
Current expense policy lacks adequate controls for high-value claims.
Recommend implementing dual-approval for expenses over $1,000 and
quarterly audit sampling.

Time Saved: Generate a 2-page summary in 30 seconds instead of 2 hours of manual writing.

2. Communication Templates

Draft professional communications for every stage of the investigation.

Available Templates:

For Reporters:

  • Initial acknowledgment and next steps
  • Request for additional information
  • Investigation status updates
  • Outcome notification
  • Thank you and case closure

For Subjects:

  • Investigation notification
  • Interview invitation
  • Interim suspension notice
  • Outcome and disciplinary action
  • Appeal process information

For Witnesses:

  • Interview invitation
  • Confidentiality reminder
  • Follow-up questions
  • Thank you message

For Management:

  • High-risk case escalation
  • Investigation completion summary
  • Policy recommendation briefing
  • Retaliation concern alert

How to Use:

  1. Navigate to case > Communications
  2. Click "Draft Message"
  3. Select recipient type and message purpose
  4. AI generates appropriate message
  5. Review and customize
  6. Send via secure messaging

Example - Status Update to Reporter:

Subject: Update on Your Report (Case #WB-2024-0342)

Dear [Reporter Name],

Thank you for submitting your report regarding expense irregularities.
I wanted to provide you with an update on the investigation.

INVESTIGATION STATUS
We have completed interviews with the individuals you identified and
have conducted a thorough review of relevant financial records. The
investigation is progressing well, and we expect to complete our
review within the next two weeks.

WHAT HAPPENS NEXT
Once we complete our analysis, we will determine appropriate next
steps. You will receive a final update on the outcome within 30 days,
in accordance with our whistleblowing policy.

CONFIDENTIALITY REMINDER
Your identity continues to be protected and known only to authorized
investigation personnel. We are monitoring for any signs of
retaliation and ask that you report any concerns immediately.

ADDITIONAL INFORMATION
If you have any additional information relevant to this matter,
please reply to this message through the secure portal.

Thank you for your patience and for bringing this matter to our attention.

[Investigator Name]
[Title]
[Contact Information]

3. Investigation Reports

Generate comprehensive investigation reports that document the entire process, findings, and recommendations.

Report Sections:

  • Executive Summary: High-level overview for stakeholders
  • Background: Context and how the case originated
  • Allegations: Specific claims being investigated
  • Methodology: Investigation approach and techniques used
  • Parties Involved: Reporter, subject, witnesses, investigators
  • Evidence Gathered: Summary of documents, statements, and other evidence
  • Timeline of Events: Chronological sequence of relevant events
  • Analysis: Evaluation of evidence against allegations
  • Findings: What was substantiated, unsubstantiated, or inconclusive
  • Conclusions: Overall determination
  • Recommendations: Disciplinary actions, policy changes, remedial measures
  • Appendices: Supporting documentation

Report Types:

  • Preliminary Report: Early findings for urgent decision-making
  • Interim Report: Mid-investigation update for complex cases
  • Final Report: Complete investigation documentation
  • Board Report: Executive summary for governance review
  • Regulatory Report: Compliance-focused for regulators (if required)

Compliance Features:

  • EU Directive feedback requirements met
  • SOX documentation standards satisfied
  • GDPR privacy considerations built-in
  • Audit trail references included
  • Legal privilege considerations highlighted

Generate Report:

  1. Open completed case
  2. Click "Generate Report"
  3. Select report type and sections to include
  4. Choose format (Detailed, Standard, or Concise)
  5. Review AI-generated report
  6. Edit and refine as needed
  7. Export as PDF, Word, or HTML
  8. Archive with case records

Quality Assurance:

  • AI flags incomplete sections for investigator attention
  • Consistency checking across document
  • Regulatory compliance verification
  • Evidence citation validation
  • Professional formatting and structure

4. Policy Recommendations

Based on investigation findings, AI generates actionable policy recommendations.

What AI Analyzes:

  • Root causes identified in investigation
  • Policy gaps that enabled the misconduct
  • Similar incidents in case history
  • Industry best practices
  • Regulatory requirements

Recommendations Include:

  • Specific policy language to add or modify
  • Implementation steps and timeline
  • Training requirements
  • Communication plan
  • Monitoring and enforcement approach
  • Expected impact on risk reduction

Example Policy Recommendation:

POLICY RECOMMENDATION

Based On: Case WB-2024-0342 (Expense Fraud)
Date: March 15, 2024

ISSUE IDENTIFIED
Current expense policy (Section 4.2) allows single-manager approval
for all expenses regardless of amount. This enabled systematic fraud
totaling $47,500 over 18 months without detection.

RECOMMENDED POLICY CHANGES

1. DUAL APPROVAL FOR HIGH-VALUE EXPENSES
   Current: "All expenses must be approved by direct manager"
   Proposed: "Expenses over $1,000 require approval from direct manager
   AND department head or finance director"

2. QUARTERLY AUDIT SAMPLING
   New Addition: "Finance department will conduct random audit of 5%
   of expense claims each quarter, with focus on high-value and
   frequent claimants"

3. FRAUD INDICATORS TRAINING
   New Addition: "All managers with expense approval authority must
   complete annual training on fraud indicators and expense policy
   requirements"

IMPLEMENTATION PLAN
• Week 1-2: Legal review of policy changes
• Week 3: Approve updated policy
• Week 4: Communicate changes to all employees
• Week 5: Implement dual-approval workflow in expense system
• Week 6: Train managers on new procedures
• Ongoing: Quarterly audit program begins

EXPECTED IMPACT
• Fraud risk reduced by requiring collusion for high-value fraud
• Earlier detection through quarterly audits
• Improved manager vigilance through training
• Stronger controls without excessive burden

MONITORING
• Track dual-approval compliance rate
• Review audit findings quarterly
• Assess training completion rates
• Monitor for control circumvention attempts

5. Evidence Summaries

Transform lengthy witness statements, document reviews, and evidence analysis into structured summaries.

Summarization Capabilities:

  • Witness Interviews: Key points from lengthy interview transcripts
  • Document Analysis: Highlights from contracts, emails, financial records
  • Digital Evidence: Summaries of chat logs, video footage, audio recordings
  • Expert Reports: Digestible summaries of technical or forensic analysis
  • Multiple Sources: Synthesis of related evidence across sources

How to Summarize Evidence:

  1. Upload evidence to case
  2. Click "Summarize Evidence"
  3. AI extracts key information
  4. Review and annotate summary
  5. Link summary to relevant timeline events
  6. Include in investigation report

Example - Interview Summary:

INTERVIEW SUMMARY: John Smith, Witness

Interview Date: March 10, 2024
Interviewer: Jane Doe, Senior Investigator
Duration: 45 minutes
Location: Conference Room B (confidential)

KEY POINTS
• Witness observed subject submitting expense claims for team lunches
  that did not occur
• Specific incident: February 15, 2024 - $450 claim for "team dinner"
  when team was at offsite training
• Witnessed subject instructing assistant to process personal receipts
  as business expenses
• Estimates observed approximately 5-6 incidents over past 6 months

CREDIBILITY ASSESSMENT
• Witness demeanor: Cooperative, straightforward, consistent
• Specific details provided with dates and amounts
• Corroborated by calendar records and expense documentation
• No apparent motive to fabricate
• High credibility

SUPPORTING EVIDENCE
• Calendar shows team offsite on Feb 15 (Exhibit A)
• Expense claim for $450 dinner submitted Feb 15 (Exhibit B)
• Email from subject to assistant re: expense processing (Exhibit C)

FOLLOW-UP NEEDED
• Interview assistant mentioned by witness
• Obtain additional expense records for dates mentioned
• Review subject's calendar against expense claims

6. Timeline Generation

Automatically create chronological timelines of events from case notes, evidence, and communications.

Timeline Features:

  • Visual chronological representation
  • Key events automatically extracted
  • Evidence linked to each event
  • Color-coding by event type (allegation, investigation action, evidence, communication)
  • Export as visual timeline or text summary

Auto-Detected Events:

  • Report submission date
  • Alleged misconduct dates
  • Investigation milestones
  • Interview dates
  • Evidence collection dates
  • Communication with reporter/subject
  • Status changes
  • Outcome and resolution

How Timelines Help:

  • Visualize sequence of events
  • Identify gaps in evidence
  • Spot inconsistencies in statements
  • Present findings clearly
  • Support investigation reports

Example Timeline:

INVESTIGATION TIMELINE: Case WB-2024-0342

Jan 2023          Subject begins fraudulent expense submissions
                  Evidence: Forensic accounting review

↓ (18 months)

Jul 2024          Reporter notices irregularities
                  Source: Initial report

Jul 15, 2024      Report submitted via Disclosurely portal
                  Case opened, assigned to investigator

Jul 16, 2024      Acknowledgment sent to reporter
                  Compliance: EU Directive 7-day requirement met

Jul 20, 2024      Preliminary review of expense records
                  Evidence: 18 months of records requested from Finance

Jul 25, 2024      Interview with Finance Manager (witness)
                  Evidence: Statement collected

Aug 1, 2024       Forensic accounting analysis begins
                  Evidence: External forensic accountant engaged

Aug 10, 2024      Interview with Assistant (witness)
                  Evidence: Corroborating statement

Aug 15, 2024      Interview with Subject
                  Evidence: Subject denies allegations

Aug 20, 2024      Forensic report completed
                  Evidence: $47,500 in fraudulent claims identified

Aug 25, 2024      Investigation findings reviewed with Legal
                  Action: Legal counsel consultation

Aug 28, 2024      Subject terminated
                  Action: Employment ended for cause

Sep 1, 2024       Report outcome communicated to reporter
                  Compliance: EU Directive 3-month feedback met

Sep 5, 2024       Criminal referral submitted
                  Action: Law enforcement notified

Sep 10, 2024      Case closed
                  Status: Investigation complete

Privacy and Security

Confidentiality Protection

AI Content Generation Safeguards:

  • Generated content respects confidentiality settings
  • Reporter identity automatically redacted in reports (unless confidential report with consent)
  • Sensitive information flagged for review
  • Access controls limit who can generate content
  • All generated content logged in audit trail

Redaction Features:

  • Automatic personal data minimization
  • Identity protection for anonymous reporters
  • PII (Personally Identifiable Information) detection
  • Confidential information warnings
  • Manual redaction tools for additional privacy

GDPR Compliance

AI Content Generation is designed for GDPR compliance:

Data Minimization: Generates only necessary content for investigation purposes Purpose Limitation: Content used only for investigation and compliance Accuracy: AI generates factual content based on evidence Storage Limitation: Generated content follows retention policies Security: All content encrypted and access-controlled

Quality Control

Human Review Required:

  • AI generates drafts, not final documents
  • Investigators must review all generated content
  • Factual accuracy verification required
  • Tone and appropriateness check
  • Compliance review before sending/publishing
  • Edit and customize as needed

AI Does Not:

  • Auto-send communications
  • Make investigative decisions
  • Determine outcomes or discipline
  • Replace investigator judgment
  • Guarantee legal compliance (lawyer review still recommended for complex cases)

Configuration and Best Practices

Setup

Enable AI Content Generation:

  1. Dashboard > Settings > AI Features
  2. Enable "AI Content Generation"
  3. Configure default templates
  4. Set approval workflows
  5. Train investigators on use

Template Customization:

  • Customize tone and style for your organization
  • Add company-specific language and policies
  • Set default footer and contact information
  • Configure branding (logo, colors for reports)
  • Define approval requirements by content type

Best Practices

Do's: ✅ Always Review: Never send AI-generated content without review ✅ Verify Facts: Ensure all statements are supported by evidence ✅ Customize: Edit generic content to fit specific circumstances ✅ Maintain Confidentiality: Check for inappropriate information disclosure ✅ Save Time: Use AI for first drafts to speed up documentation ✅ Be Professional: Ensure tone is appropriate for recipient and context ✅ Follow Policy: Adhere to organizational approval processes

Don'ts: ❌ Don't Auto-Send: Always review before sending communications ❌ Don't Rely Solely: AI assists, doesn't replace investigator expertise ❌ Don't Share Sensitive Info: Check for confidentiality breaches ❌ Don't Skip Legal Review: Complex cases may need attorney review ❌ Don't Forget Compliance: Ensure regulatory requirements met

Optimization Tips

Improve AI Output Quality:

  • Provide detailed case notes for AI to analyze
  • Use structured evidence organization
  • Tag evidence by type for better summaries
  • Maintain clear chronological documentation
  • Provide feedback on generated content quality

Efficiency Gains:

  • Use templates for common communication types
  • Generate reports incrementally (don't wait until end)
  • Create evidence summaries as you collect evidence
  • Build timeline throughout investigation
  • Draft policy recommendations during investigation

Integration with Investigation Workflow

Seamless Workflow Integration

AI Content Generation is embedded throughout the investigation workflow:

Case Opening:

  • Generate acknowledgment to reporter

During Investigation:

  • Draft interview invitations
  • Create evidence summaries as collected
  • Generate status updates for reporter
  • Build timeline incrementally

Case Resolution:

  • Generate investigation report
  • Draft outcome communications
  • Create policy recommendations
  • Produce executive summary

Case Closure:

  • Generate final report
  • Archive documentation
  • Create lessons learned summary

Pricing and Availability

Available On:

  • Enterprise Plan: Unlimited AI content generation
  • Pro Plan: Up to 100 AI-generated documents per month
  • Basic Plan: Not available

What Counts as One Document:

  • One investigation summary
  • One communication message
  • One investigation report
  • One policy recommendation
  • One evidence summary
  • One timeline generation

Upgrade: Contact sales to add AI Content Generation to your plan.

Time Savings Analysis

Typical Time Savings:

TaskManual TimeWith AITime Saved
Investigation Summary2-3 hours10 minutes90-95%
Communication Draft30-45 mins5 minutes85-90%
Investigation Report6-8 hours1-2 hours70-80%
Policy Recommendation2-4 hours30 minutes75-85%
Evidence Summary1-2 hours15 minutes85-90%
Timeline Creation1-2 hours10 minutes90-95%

ROI Example:

  • Organization: 50 cases/year
  • Average time saved per case: 10 hours
  • Total time saved: 500 hours/year
  • Cost of investigator time: $75/hour
  • Annual savings: $37,500

AI Content Generation - Disclosurely AI Features | Disclosurely Docs