AI Case Helper - Disclosurely AI Features

Intelligent AI assistant for case analysis, investigation support, pattern detection, risk assessment, and data-driven decision making for whistleblowing.

AI Case Helper

The AI Case Helper is Disclosurely's intelligent assistant for case analysis and investigation. Powered by advanced AI, it helps case handlers analyze reports faster, identify key issues, and make data-driven decisions.

What is the AI Case Helper?

The AI Case Helper is an AI-powered tool that:

Analyzes Case Content: Reviews report descriptions, messages, and notes
Identifies Key Issues: Extracts main concerns and themes
Provides Recommendations: Suggests next steps and actions
Detects Patterns: Identifies similarities with other cases
Assesses Risk: Evaluates severity and potential impact
Generates Summaries: Creates concise case overviews
Answers Questions: Responds to queries about cases
References Documents: Analyzes company policies and procedures

How It Works

AI Technology

The AI Case Helper uses DeepSeek AI, a state-of-the-art large language model trained to:

Understand workplace compliance issues
Recognize legal and regulatory concepts
Analyze organizational behavior
Identify risk factors
Provide evidence-based recommendations

Privacy & Security

Your data stays secure:

All analysis happens with encrypted data
AI cannot access data it's not authorized to see
No case data is used to train the AI model
Conversations are encrypted and private
AI complies with data residency requirements

What the AI can see:

Case details you explicitly share
Documents you upload for analysis
Your organization's uploaded policies
Public compliance best practices

What the AI cannot see:

Cases you don't share with it
Other organizations' data
Reporter identifying information
System configuration details

Using the AI Case Helper

Accessing the AI Helper

Navigate to any case/report
Click the "AI Helper" button in the top right
The AI chat interface opens
Start asking questions or request analysis

Alternatively:

Go to Dashboard > AI Helper
Select a case to analyze
Start your conversation

Starting a Conversation

The AI Helper can assist with:

Case Analysis:

"Analyze this case and summarize the key issues"
"What are the main concerns in this report?"
"Identify potential policy violations"

Recommendations:

"What should I do next?"
"How should I proceed with this investigation?"
"What evidence should I collect?"

Pattern Recognition:

"Are there similar cases?"
"Has this issue happened before?"
"What patterns do you see?"

Risk Assessment:

"How serious is this issue?"
"What are the potential risks?"
"Should this be escalated?"

Policy References:

"What policies are relevant?"
"Does this violate company policy?"
"What do our procedures say about this?"

Key Features

1. Case Summarization

Get instant summaries of complex cases.

How to Use:

You: "Summarize this case"

AI Response Example:

CASE SUMMARY

Type: Harassment & Discrimination
Reported: March 15, 2024
Status: Investigating

KEY ISSUES:
• Employee reports age-based discrimination from manager
• Multiple incidents over 2-week period
• Public comments made in team meetings
• Passed over for promotion potentially due to age

PEOPLE INVOLVED:
• Reporter: 52-year-old employee
• Subject: Manager Sarah J.
• Witnesses: 3 team members identified

EVIDENCE:
• Specific quotes documented
• Multiple incidents with dates
• Witnesses present
• Promotion decision timeline

SEVERITY: High - potential legal liability

RECOMMENDED ACTIONS:
1. Interview witnesses immediately
2. Review promotion decision process
3. Check for other age discrimination patterns
4. Consider interim measures to separate parties

2. Investigation Recommendations

Get AI-powered suggestions for next steps.

How to Use:

You: "What should I investigate first?"

AI Response Example:

INVESTIGATION PRIORITIES

IMMEDIATE ACTIONS (Next 24-48 hours):
1. Interview the three witnesses named in the report
   - Schedule separately to avoid collusion
   - Ask about specific incidents mentioned
   - Document their recollections

2. Secure relevant evidence
   - Meeting recordings if available
   - Email communications
   - Promotion decision documentation
   - Performance reviews

3. Review promotion process
   - Criteria used for decision
   - All candidates considered
   - Decision timeline and rationale

NEXT STEPS (Week 1-2):
4. Interview the manager (Sarah J.)
   - Inform of investigation professionally
   - Ask about promotion decision
   - Inquire about management style

5. Check for pattern
   - Review previous complaints
   - Survey team anonymously if appropriate
   - Check HR records for similar issues

DOCUMENTATION:
• Keep detailed notes of all interviews
• Maintain chain of custody for evidence
• Document timeline of investigation
• Prepare interim report after witness interviews

RISK MITIGATION:
• Consider whether parties should be separated
• Ensure no retaliation against reporter
• Notify leadership if severity warrants

3. Pattern Detection

Identify trends and patterns across cases.

How to Use:

You: "Check for similar cases involving this manager"

AI Response Example:

PATTERN ANALYSIS

SIMILAR CASES FOUND: 2

CASE #1: DIS-B3C7D9E2 (6 months ago)
• Type: Workplace bullying
• Subject: Same manager (Sarah J.)
• Issue: Aggressive communication style
• Outcome: Verbal warning, management training
• Similarity: 85%

CASE #2: DIS-E4F8A1B5 (1 year ago)
• Type: Favoritism concerns
• Subject: Same manager (Sarah J.)
• Issue: Unequal treatment of team members
• Outcome: Coaching provided
• Similarity: 65%

PATTERN IDENTIFIED:
• Manager has history of problematic behavior
• Issues recurring despite previous interventions
• Pattern suggests more serious, systemic problem
• Training/coaching has not been effective

RECOMMENDATION:
This appears to be a serious pattern rather than an isolated incident. Consider:
• Escalating to HR leadership
• More serious disciplinary action
• Management skills assessment
• Potential reassignment or termination

4. Risk Assessment

Evaluate severity and potential impacts.

How to Use:

You: "Assess the risk level of this case"

AI Response Example:

RISK ASSESSMENT

OVERALL RISK LEVEL: HIGH

LEGAL RISK: HIGH
• Age discrimination is prohibited under employment law
• Multiple incidents strengthen potential claim
• Witnesses present make this highly credible
• Promotion denial adds significant weight
• Company may face EEOC complaint or lawsuit
• Previous similar complaints suggest pattern

REPUTATIONAL RISK: MEDIUM
• Could damage employer brand if public
• May affect employee morale if unresolved
• Social media risk if reporter goes public

FINANCIAL RISK: MEDIUM-HIGH
• Potential lawsuit costs
• Settlement or judgment
• EEOC investigation costs
• Lost productivity
• Recruitment/replacement costs

OPERATIONAL RISK: LOW-MEDIUM
• Team dynamics affected
• Management capability questioned
• Temporary disruption during investigation

COMPLIANCE RISK: HIGH
• Clear policy violation
• Potential regulatory violation
• Audit findings risk
• Documentation essential

MITIGATION PRIORITY: URGENT
• Act swiftly and decisively
• Document everything thoroughly
• Engage legal counsel if appropriate
• Take interim protective measures
• Monitor for retaliation

5. Document Analysis

Upload and analyze company documents for context.

How to Use:

Click "Upload Document"
Select policy, handbook, or procedure
Ask AI to reference it

Example:

You: "Does this violate our harassment policy?"

AI: Based on your Anti-Harassment Policy (uploaded March 2024):

POLICY VIOLATION: YES

Your policy states:
"Harassment based on age, race, gender, or other protected characteristics is strictly prohibited. This includes verbal comments, jokes, or actions that create an intimidating or hostile work environment."

VIOLATIONS IDENTIFIED:
1. Age-based comments ("too old to understand technology")
2. Multiple incidents creating hostile environment
3. Adverse employment action (promotion denial)
4. Public nature of comments (team meetings)

RELEVANT POLICY SECTIONS:
• Section 3.2: Prohibited Conduct
• Section 3.4: Manager Responsibilities
• Section 5.1: Reporting and Investigation

REQUIRED ACTIONS PER POLICY:
• Immediate investigation (Section 6.1)
• Witness interviews (Section 6.3)
• Interim protective measures (Section 6.5)
• Resolution within 30 days (Section 6.8)
• Written outcome to reporter (Section 7.1)

6. Conversation History

All AI conversations are saved and searchable.

Access Previous Conversations:

Go to AI Helper > History
View all past analyses
Search by case, date, or keyword
Resume previous conversations

Benefits:

Track AI recommendations over time
Review previous analysis if case reopens
Share insights with team
Maintain investigation record

Advanced Features

Multi-Document Analysis

Upload multiple documents for comprehensive analysis:

Supported Documents:

Employee handbook
Code of conduct
Harassment policy
Discrimination policy
Investigation procedures
Relevant laws and regulations
Industry best practices

How It Helps:

Cross-reference multiple policies
Ensure comprehensive compliance
Identify conflicting guidance
Provide thorough recommendations

Comparative Analysis

Compare cases to identify trends:

You: "Compare this case to other harassment cases this year"

AI: COMPARATIVE ANALYSIS

HARASSMENT CASES THIS YEAR: 12 total

THIS CASE vs. AVERAGE:
• Severity: Higher (multiple witnesses)
• Evidence Quality: Better (specific quotes)
• Response Time: Standard
• Pattern Risk: Higher (repeat offender)

TRENDS IDENTIFIED:
• 40% involve management (vs 25% last year)
• Age discrimination up 50%
• Cases with witnesses resolve 30% faster
• 75% result in manager training or discipline

BENCHMARK RECOMMENDATIONS:
Based on similar cases, typical outcomes include:
• Formal warning: 50%
• Suspension: 25%
• Termination: 15%
• Training only: 10%

Given pattern and severity, recommend:
Formal warning minimum, consider suspension

What-If Scenarios

Explore potential outcomes:

You: "What if we just give the manager more training?"

AI: SCENARIO ANALYSIS: Training-Only Response

PROS:
• Lower conflict/resistance
• Faster resolution
• Less disruptive
• Lower costs

CONS:
• Insufficient given pattern (2 prior complaints)
• May not prevent recurrence
• Could be seen as inadequate by reporter
• Doesn't address seriousness
• May encourage future violations
• Potential legal liability if pattern continues

RISK ASSESSMENT:
HIGH RISK - Training alone is likely insufficient

RECOMMENDATION:
Training should be part of response, not entire response.
Consider: Formal warning + training + probation + regular check-ins

SUPPORTING DATA:
• Cases with training-only after patterns: 60% recurrence
• Cases with progressive discipline: 15% recurrence
• Legal precedent favors stronger action for patterns

Best Practices

Do:

✅ Provide Context: Give AI complete case information ✅ Ask Specific Questions: More specific = better answers ✅ Review Recommendations: AI assists, humans decide ✅ Upload Policies: Help AI understand your organization ✅ Save Important Analysis: Download or screenshot key insights ✅ Iterate: Ask follow-up questions for clarity ✅ Cross-Reference: Verify AI suggestions with policies

Don't:

❌ Blindly Follow: AI is a tool, not a replacement for judgment ❌ Share Sensitive Data Unnecessarily: Only share what's needed ❌ Rely Solely on AI: Combine AI with human expertise ❌ Ignore Red Flags: If AI misses something obvious, note it ❌ Skip Documentation: Document your own analysis too

Limitations

The AI Case Helper is powerful but has limitations:

AI Cannot:

Replace human judgment and decision-making
Interview witnesses or gather physical evidence
Guarantee legal compliance or outcomes
Access information it hasn't been given
Understand your organization's specific culture fully
Make final decisions on disciplinary actions

AI May:

Occasionally misinterpret context
Make suggestions that need adaptation
Not know recent policy changes unless told
Miss nuances in complex situations

Always:

Verify AI recommendations
Apply organizational knowledge
Consult legal/HR when appropriate
Use professional judgment
Document your reasoning

Pricing & Availability

AI Case Helper is available on:

Pro Plan: ✅ Included (100 AI conversations/month)
Enterprise Plan: ✅ Included (unlimited)
Basic Plan: ❌ Not available

Usage Limits:

Pro: 100 AI conversations per month
Enterprise: Unlimited conversations
Conversations reset monthly
Document uploads: Unlimited on all plans

Getting Started

Ready to try the AI Case Helper?

Open a Case: Navigate to any report
Click AI Helper: Button in top right
Start with a Question: Try "Analyze this case"
Explore Features: Ask follow-up questions
Upload Documents: Add policies for context
Review Recommendations: Use insights in your investigation

Support

Need help with AI Helper?

The AI Case Helper turns hours of analysis into minutes, helping you resolve cases faster while maintaining thoroughness and compliance.