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AI Analysis Tools Overview

The All Transactions page features three powerful AI-driven analysis buttons that automate complex financial tasks. All three tools integrate seamlessly with Smart Filters, allowing you to analyze specific transaction sets for targeted insights and automation.

Access AI Analysis Tools

Located at the top of the All Transactions page, these three buttons provide instant access to AI-powered financial automation.

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The Three AI Analysis Buttons

Smart Categorize

AI Categorization:
  • Bulk transaction categorization
  • Machine learning suggestions
  • Confidence scoring
  • Manual override capability

Pattern Analysis

Recurring Detection:
  • Identify recurring bills
  • Subscription tracking
  • Payment pattern recognition
  • Automated bill creation

Intelligent Tax Analysis

Tax Optimization:
  • Deduction identification
  • Business expense classification
  • Tax compliance checking
  • Global tax support

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Filter Integration

All AI Tools Respect Active FiltersWhen you apply Smart Filters before clicking any AI analysis button, the analysis runs ONLY on the filtered transaction set. This enables targeted, focused analysis of specific transaction groups.

Smart Filters Integration

Learn how to use Smart Filters to control which transactions get analyzed by AI tools.

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1. Smart Categorize

AI-powered bulk categorization that automatically assigns categories to multiple transactions based on machine learning analysis.

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How Smart Categorize Works

1

Apply Filters (Optional)

Use Smart Filters to narrow down transactions you want to categorize. Common filters:
  • “This Month” + “Uncategorized”
  • Date range + “Needs Analysis”
  • Specific amount range
2

Click Smart Categorize

Click the “Smart Categorize” button at the top of the page. The system fetches all filtered transactions for analysis.
3

AI Processing

AI analyzes each transaction’s description, merchant, and historical patterns to suggest appropriate categories with confidence scores.
4

Review Suggestions

Modal opens showing all AI-suggested categories. Review suggestions, modify as needed, or skip transactions.
5

Apply Categories

Click “Apply Categories” to save all categorizations. The system updates transactions and refreshes the table automatically.

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AI Analysis Process

Data Points Considered:
  • Transaction Description: Full bank description text
  • Merchant Name: Extracted vendor/payee information
  • Transaction Amount: Value and spending patterns
  • Historical Patterns: Previous similar transactions
  • User Preferences: Your past categorization choices
  • Category Relationships: Semantic category matching
Machine Learning Features:
  • Natural language processing (NLP)
  • Pattern recognition algorithms
  • User feedback learning
  • Contextual understanding
  • Merchant database matching
How Confidence Works:
  • High Confidence (90%+): Strong match based on clear patterns
  • Medium Confidence (70-90%): Good match with some uncertainty
  • Low Confidence (less than 70%): Weak match, manual review recommended
Confidence Indicators:
  • Green badge: High confidence (auto-apply safe)
  • Yellow badge: Medium confidence (review suggested)
  • Orange badge: Low confidence (manual override recommended)
Improving Confidence:
  • Consistently categorize similar transactions
  • Provide feedback on AI suggestions
  • Use descriptive category names
  • Maintain category hierarchy
Override Options:
  • Accept Suggestion: Use AI-recommended category
  • Change Category: Select different category from dropdown
  • Skip Transaction: Leave transaction uncategorized
  • Bulk Accept: Accept all high-confidence suggestions
AI Learning:
  • Every correction teaches the AI
  • Future suggestions improve
  • User-specific learning model
  • Patterns recognized over time
Best Practice:
  • Review low-confidence suggestions carefully
  • Accept high-confidence matches quickly
  • Provide consistent corrections
  • Use same categories for similar transactions

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Smart Categorize Use Cases

New Import Processing

Workflow:
  1. Import CSV/PDF bank statement
  2. Filter to newly imported transactions
  3. Run Smart Categorize
  4. Review and apply categories
  5. Export categorized data
Benefits:
  • Process hundreds of transactions quickly
  • Consistent categorization
  • Reduced manual work
  • Faster monthly close

Monthly Maintenance

Routine:
  1. Filter to “This Month”
  2. Add “Uncategorized Only” filter
  3. Run Smart Categorize
  4. Accept high-confidence suggestions
  5. Review low-confidence matches
Benefits:
  • Regular cleanup workflow
  • Maintain data quality
  • Catch miscategorizations
  • Keep books up to date

Historical Cleanup

Process:
  1. Set date range to past period
  2. Filter “Uncategorized Only”
  3. Run Smart Categorize in batches
  4. Review by confidence level
  5. Process high-confidence first
Benefits:
  • Clean up old data
  • Improve historical reporting
  • Enable trend analysis
  • Complete tax records

Category Consistency

Quality Control:
  1. Filter by specific category
  2. Review AI categorization
  3. Correct inconsistencies
  4. Re-run on similar transactions
  5. Train AI with corrections
Benefits:
  • Ensure categorization accuracy
  • Standardize category use
  • Identify miscategorizations
  • Improve AI performance

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Tips for Effective Categorization

Maximize Accuracy:
  • Start with small batches (100-200 transactions)
  • Review all suggestions before applying
  • Correct low-confidence matches manually
  • Accept high-confidence matches quickly
  • Run regularly (weekly or monthly)
Workflow Optimization:
  • Use “Uncategorized Only” filter first
  • Combine with date filters for period-based processing
  • Process by transaction type (expenses, then income)
  • Sort by amount to prioritize large transactions
  • Review merchant patterns for consistency
Scenario 1: After CSV Import
  • Filter: Newest Data Bucket + Uncategorized
  • Action: Smart Categorize all
  • Review: Accept 90%+, review rest
Scenario 2: End of Month
  • Filter: This Month + Uncategorized
  • Action: Smart Categorize remaining
  • Review: Quick approval of high confidence
Scenario 3: Tax Preparation
  • Filter: This Year + All transactions
  • Action: Re-categorize for accuracy
  • Review: Focus on tax-deductible items
Scenario 4: Category Audit
  • Filter: Specific Category
  • Action: Verify AI categorization
  • Review: Ensure category consistency
Low Confidence Issues:
  • Cause: Unusual merchant names, new vendors
  • Solution: Manually categorize, AI learns for next time
Incorrect Suggestions:
  • Cause: Similar merchant names, ambiguous descriptions
  • Solution: Provide correct category, pattern recognized
Inconsistent Categories:
  • Cause: Multiple similar categories, unclear hierarchy
  • Solution: Consolidate categories, use clear naming
Slow Processing:
  • Cause: Large transaction sets, complex filters
  • Solution: Use date filters to limit scope, process in batches

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2. Pattern Analysis

Automatically detect recurring bills and payment patterns from transaction history using AI pattern recognition.

Pattern Analysis Details

Learn more about Pattern Analysis and recurring transaction management.

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How Pattern Analysis Works

1

Set Appropriate Date Range

Use Smart Filters to set a date range for pattern detection. Recommended: 3-12 months for accurate analysis.
2

Click Pattern Analysis

Click the “Pattern Analysis” button. AI scans all filtered transactions for recurring patterns.
3

AI Detection

AI identifies recurring patterns based on merchant, amount consistency, date patterns, and frequency.
4

Review Detected Patterns

Modal shows all detected patterns with details: frequency, amount range, merchant, dates.
5

Create Bill Patterns

Select which patterns to convert into tracked recurring bills. AI monitors future occurrences.

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Pattern Detection Capabilities

Pattern Types:
  • Monthly Bills: Rent, utilities, subscriptions, loan payments
  • Weekly Recurring: Weekly services, payroll, recurring deliveries
  • Quarterly Payments: Insurance premiums, quarterly fees
  • Annual Charges: Annual subscriptions, licenses, memberships
Detection Criteria:
  • Frequency: Consistent time intervals between transactions
  • Amount: Fixed or variable amount patterns
  • Merchant: Same merchant recurring transactions
  • Date Patterns: Specific dates or date ranges
Pattern Characteristics:
  • Fixed amount (exact match required)
  • Variable amount (within percentage range)
  • Same-day recurring (specific date each period)
  • Approximate date (within 3-day window)
  • Merchant consistency (same vendor each time)
Optimal Date Ranges:
  • 3 Months: Minimum for monthly pattern detection
  • 6 Months: Recommended for accurate patterns
  • 12 Months: Best for annual and quarterly detection
  • Longer: Better for irregular patterns
Filter Combinations:
  • All Categories: Detect all patterns
  • Specific Category: Focus on one expense type (e.g., “Subscriptions”)
  • Amount Range: Find patterns in specific price ranges
  • Debit Only: Focus on outgoing recurring payments
  • Specific Merchant: Analyze vendor-specific patterns
Use Case Examples:
  • Find all subscriptions: 6 months + 5−5-100 + Debits
  • Utility pattern analysis: 12 months + Utilities category
  • Subscription audit: 12 months + Recurring filter
  • Insurance patterns: 12 months + Insurance category
After Pattern Creation:
  • Patterns saved to “Patterns (Recurring)” page
  • Future matching transactions automatically flagged
  • Pattern rules can be edited and refined
  • Pause or delete patterns as needed
  • Export pattern reports for analysis
Monitoring Features:
  • Missed Pattern Alerts: Notification when pattern doesn’t occur
  • Amount Variance Warnings: Alert on unusual amounts
  • Date Shift Notifications: Notice when dates drift
  • New Occurrence Confirmations: Confirm pattern matches
Pattern Editing:
  • Adjust amount tolerance
  • Modify date flexibility
  • Change frequency settings
  • Update merchant matching rules
  • Add exclusion criteria

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Pattern Analysis Use Cases

Subscription Discovery

Find All Subscriptions:
  1. Filter: Last 12 Months
  2. Amount: 5−5 - 100
  3. Run Pattern Analysis
  4. Review monthly patterns
  5. Create recurring bills
Discover:
  • Forgotten subscriptions
  • Duplicate services
  • Price changes
  • Inactive subscriptions

Budget Planning

Identify Fixed Costs:
  1. Filter: Last 6 Months
  2. Category: All
  3. Run Pattern Analysis
  4. Export pattern list
  5. Calculate monthly fixed costs
Plan:
  • Monthly budget allocation
  • Fixed vs variable expenses
  • Cash flow forecasting
  • Savings opportunities

Bill Tracking

Monitor Recurring Bills:
  1. Filter: Utilities + Last Year
  2. Run Pattern Analysis
  3. Create bill patterns
  4. Enable monitoring
  5. Track variance
Track:
  • Utility bill trends
  • Seasonal variations
  • Cost increases
  • Missed payments

Subscription Optimization

Reduce Subscription Costs:
  1. Find all recurring patterns
  2. Review frequency and amounts
  3. Identify unused services
  4. Cancel or downgrade
  5. Monitor savings
Optimize:
  • Eliminate unused subscriptions
  • Find cheaper alternatives
  • Consolidate services
  • Negotiate better rates

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3. Intelligent Tax Analysis

AI-powered tax deductibility analysis that identifies potential tax deductions and classifies business expenses for global tax compliance.

Tax Export Feature

After analysis, use Tax Export to generate tax-compliant reports for filing.

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How Intelligent Tax Analysis Works

1

Filter Target Period

Apply Smart Filters to focus on your tax/financial year or specific period:
  • “This Year” or custom date range
  • Business-related categories
  • Optional: Amount thresholds
2

Click Intelligent Tax Analysis

Click the “Intelligent Tax Analysis” button. AI begins analyzing filtered transactions for tax deductibility.
3

AI Tax Classification

AI evaluates each transaction for:
  • Business vs personal classification
  • Deduction category identification
  • Partial deductibility calculation
  • Compliance requirements
4

Review Tax Analysis

Modal displays detected tax-deductible expenses with:
  • Deduction categories
  • Confidence levels
  • Business use percentages
  • Documentation requirements
5

Confirm and Apply

Review AI suggestions, adjust business use percentages, add notes, and apply tax flags to transactions.

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Tax Deduction Detection

Business Expense Categories:Office & Operations:
  • Office supplies and equipment
  • Computer hardware and software
  • Furniture and fixtures
  • Office rent and utilities
Vehicle & Travel:
  • Fuel and vehicle maintenance
  • Vehicle registration and insurance
  • Business travel expenses
  • Accommodation and meals
Professional Services:
  • Legal and accounting fees
  • Consulting and advisory services
  • Professional memberships
  • Industry subscriptions
Marketing & Sales:
  • Advertising and promotions
  • Marketing materials
  • Website and hosting
  • Sales commissions
Employee & Contractors:
  • Wages and salaries
  • Contractor payments
  • Training and development
  • Employee benefits
Other Deductions:
  • Insurance premiums (business)
  • Bank fees and merchant services
  • Communication costs
  • Education and training
AI Classification:
  • Business vs Personal: Distinguishes business from personal expenses
  • Partial Deductibility: Calculates mixed-use percentages
  • Category-Specific Rules: Applies tax rules by expense type
  • Compliance Checking: Flags documentation requirements
Business Use Percentage:
  • AI suggests business use percentage
  • Common defaults: 100%, 80%, 50%, etc.
  • User can override and adjust
  • Consistent application across similar items
Documentation Flags:
  • Receipt required indicators
  • Logbook requirements (vehicles)
  • Business purpose notes needed
  • Additional documentation alerts
International Support:
  • GST/VAT Calculations: Automatic tax component extraction
  • Sales Tax Tracking: Regional sales tax handling
  • Multi-Currency: International transaction support
  • Regional Rules: Country-specific tax regulations
Compliance Features:
  • Tax-compliant categorization
  • Audit trail maintenance
  • Record keeping standards
  • Report generation capability
Supported Regions:
  • North America: USA, Canada
  • Europe: UK, EU countries
  • Asia Pacific: Australia, NZ, Singapore
  • Other: Global coverage expanding

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Tax Analysis Use Cases

Year-End Tax Prep

Annual Tax Filing:
  1. Filter: This Tax Year
  2. Category: Business expenses
  3. Run Tax Analysis
  4. Review deductions
  5. Export for filing
Maximize:
  • Identify all deductions
  • Ensure compliance
  • Optimize tax position
  • Document properly

Quarterly Review

Quarterly Tax Estimates:
  1. Filter: Current Quarter
  2. Run Tax Analysis
  3. Calculate tax liability
  4. Adjust estimates
  5. Plan quarterly payment
Monitor:
  • Quarterly deductions
  • Tax obligation tracking
  • Cash flow planning
  • Estimated tax accuracy

Deduction Optimization

Maximize Deductions:
  1. Filter: Full year
  2. Include all categories
  3. Run Tax Analysis
  4. Review AI suggestions
  5. Reclassify as needed
Optimize:
  • Find missed deductions
  • Proper categorization
  • Business use allocation
  • Documentation completion

Audit Preparation

Tax Audit Readiness:
  1. Filter: Audit period
  2. Run Tax Analysis
  3. Verify classifications
  4. Check documentation
  5. Prepare explanations
Prepare:
  • Complete records
  • Proper classification
  • Documentation attached
  • Business purpose noted

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Filter Optimization for Tax Analysis

Complete Tax Analysis Process:Step 1: Initial Filter
  • Set tax year date range
  • Filter business categories
  • Exclude personal transactions
Step 2: Run Analysis
  • Click Intelligent Tax Analysis
  • Wait for AI processing
  • Review summary statistics
Step 3: Review Results
  • Check high-confidence matches
  • Review medium-confidence items
  • Investigate low-confidence flags
Step 4: Adjust Classifications
  • Modify business use percentages
  • Reclassify as needed
  • Add business purpose notes
  • Flag for documentation
Step 5: Apply and Export
  • Apply tax analysis results
  • Use Tax Export feature
  • Generate filing reports
  • Maintain documentation
Accuracy Tips:
  • Run analysis regularly (monthly)
  • Review all AI suggestions carefully
  • Maintain consistent categorization
  • Document business purposes clearly
  • Keep receipts and records organized
Compliance Tips:
  • Follow regional tax rules
  • Maintain proper documentation
  • Use correct business use percentages
  • Keep audit trail complete
  • Consult tax professional when needed
Efficiency Tips:
  • Filter to focus areas first
  • Process high-value items first
  • Accept high-confidence matches
  • Batch similar transactions
  • Use keyboard shortcuts

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AI Analysis Best Practices

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Combining All Three Tools

Recommended Workflow: Use All Three TogetherFor complete financial automation, use all three AI tools in sequence: Smart Categorize → Pattern Analysis → Intelligent Tax Analysis. Each tool enhances the next.
1

1. Smart Categorize First

Ensure all transactions are properly categorized before running other analyses.
2

2. Pattern Analysis Second

With categorized transactions, pattern detection is more accurate and useful.
3

3. Tax Analysis Last

Categorized and pattern-linked transactions enable most accurate tax analysis.

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Monthly Maintenance Workflow

Monthly Financial Maintenance:Week 1: Import and Categorize
  1. Import new bank statements
  2. Filter: This Month + Uncategorized
  3. Run Smart Categorize
  4. Review and apply categories
Week 2: Pattern Review
  1. Filter: Last 6 Months
  2. Run Pattern Analysis
  3. Update recurring patterns
  4. Check for missed patterns
Week 3: Tax Review
  1. Filter: This Month + Tax Deductible
  2. Run Intelligent Tax Analysis
  3. Verify business classifications
  4. Document as needed
Week 4: Export and Report
  1. Filter: This Month
  2. Generate reports
  3. Export for accounting
  4. Archive documentation
Quarterly Financial Review:Data Quality Check:
  • Review all categorizations
  • Verify pattern accuracy
  • Check tax classifications
  • Clean up inconsistencies
Pattern Maintenance:
  • Analyze 12-month patterns
  • Update changed patterns
  • Remove obsolete patterns
  • Add new recurring items
Tax Preparation:
  • Filter to quarter
  • Run comprehensive tax analysis
  • Calculate quarterly liability
  • Prepare estimated payments
Reporting:
  • Generate quarterly reports
  • Export tax summaries
  • Update financial projections
  • Review budget vs actual

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Performance Tips

Speed Optimization

Process Faster:
  • Use date filters to limit scope
  • Process in smaller batches
  • Focus on high-priority transactions
  • Clear filters between analyses
  • Use Quick Filters for common tasks

Accuracy Improvement

Better Results:
  • Train AI with consistent corrections
  • Review low-confidence matches
  • Maintain clean category structure
  • Document business purposes
  • Regular data quality checks

Workflow Efficiency

Work Smarter:
  • Establish routine schedules
  • Use filter combinations
  • Process by priority
  • Automate where possible
  • Monitor AI performance

Data Quality

Maintain Standards:
  • Consistent categorization
  • Complete documentation
  • Regular reviews
  • Correct AI mistakes
  • Clean historical data
Related Features: Use Smart Filters to control analysis scope, explore Smart Categorisation for category details, or check Pattern Analysis for recurring bill management. AI Analysis Tools - Intelligent automation for effortless financial management.