AI analysis of corporate emails hero.titleSuffix
Stop drowning in thousands of emails. Uncover trends, issues, and opportunities hidden in your communication.
Understand your customers better. AI analyzes every email and provides valuable insights to improve services.
Overloaded inbox = lost insights and missed opportunities
Your shared inbox is overloaded
Context gets lost in small windows of standard AI tools and you miss important patterns in communication.
What's happening in your company:
- One shared inbox is overloaded (info@, support@)
- Small context windows of standard AI tools (no history overview)
- Loss of visibility into recurring issues
- Lack of data for strategic decisions
- You don't see which products cause the most issues
- You don't know which questions repeat most often
- You lack a view of customer sentiment over time
Reactive instead of proactive, recurring problems not fixed at the source, poor prioritization of product changes.
Specialized AI agent for comprehensive email communication analysis
Specialized AI agent for categorization, sentiment analysis, trend analysis, and advanced reporting across the full history of email communication. It uncovers trends you would otherwise miss.
The AI agent analyzes all emails at once, identifies patterns, categorizes inquiries, and generates comprehensive reports with recommendations.
Email analysis process
Email categorization
- Technical questions
- Complaints and returns
- Orders and availability
- Complaints
- Praise
- Requests for information
- Billing questions
Sentiment analysis
- Positive, neutral, negative
- Urgency and emotional tone
- Escalations in communication
Product analysis
- Which products cause the most issues
- Common reasons for complaints
- Linking products to specific issues
Time trends
- Seasonal fluctuations in inquiries
- Surge of issues after new product launches
- Changes in sentiment over time
Response time analysis
- Average response time
- Identification of delayed emails
- Comparison by category
Ready to analyze
AI email analysis shows you what your customers really want. Understand trends and improve services.
Get a demoKey features
Query typology
Automatic email categorization by query type - complaints, orders, inquiries, grievances, compliments.
Sentiment analysis
Customer mood detection - positive, negative, neutral. Identification of urgent cases.
Monthly dashboard
Clear reports and trends. Track customer satisfaction development and team efficiency.
Automatic routing
Emails are automatically routed to the right department based on content and priority.
How it works in practice
Email integration
Connect to Missive API, Gmail, or another email system.
History import
Load 3-12 months of historical emails for analysis.
Automatic categorization
AI categorizes each email by type and topic.
Sentiment analysis
Evaluate the emotional tone of each conversation.
Trend identification
Detect recurring issues and emerging topics.
Report generation
Automatic monthly reports with dashboards and visualizations.
Alerting
Notifications about sudden spikes in issues or new topics.
Sample monthly report
Complaints: 842 (30%) ↑ +12% vs. December | Technical questions: 654 (23%) | Orders: 511 (18%)
TOP QUESTIONS: "When will my order arrive?" (187x), "How do I apply a discount code?" (142x)
RECOMMENDATION: 🔴 Urgently address Protein Strawberry issue | 🟡 Improve response time for complaints
Who this AI Agent is for
E-commerce
Analysis of customer inquiries, complaints, and product feedback.
SaaS companies
Monitoring technical questions, feature requests, and bug reports.
Customer support teams
Process optimization and prioritization based on data.
Product managers
Insights for product development from real customer communication.
Management
Overview of customer satisfaction and problem areas.
Technical integration
Direct connection to email systems
Historical analysis of up to 3-12 months of emails with continuous updates and automatic report generation at defined intervals (daily, weekly, monthly)
Typical uses
Complaint analysis
Identify products with high complaint rates and main reasons.
Product development
Feature requests and bug reports from emails for roadmap planning.
FAQ optimization
Create FAQs based on the most common questions.
Quality control
Early detection of quality issues with products.
Customer satisfaction
Measure and track customer satisfaction over time.
Support optimization
Improve processes based on response time and category analysis.
Key benefits
Technical integration
Email systems
- Missive
- Gmail / Google Workspace
- Microsoft 365 / Outlook
- Custom IMAP/SMTP
Notifications
- Slack
- Microsoft Teams
- Email alerts
- SMS (critical)
BI tools and Export
- Tableau, Power BI
- Google Data Studio
- CSV, Excel (XLSX)
- JSON, API
Return on investment and business impact
| Metric | Impact |
|---|---|
| History analysis | 3-12 months of emails |
| Categorization accuracy | 90-95% after training |
| Report frequency | Daily, weekly, monthly |
| Language support | Czech + other languages |
| GDPR compliance | Full, with anonymization |
| Payback period | 2-3 months |
Benefit for your company:
Proactive issue resolution before escalation, data-backed product decisions, support process optimization, and continuous customer satisfaction measurement.
Implementation overview
Implementation process
Needs analysis
Define key metrics and categories
Email integration
Connect to Missive, Gmail, or another system
History import
Load 3-12 months of historical emails
AI training
Adapt categorization to your specific needs
Dashboard setup
Configure reports and alerts
Launch
Automatic continuous analysis of new emails
Time to production: 2-3 weeks
Ready to analyze
AI email analysis shows you what your customers really want. Understand trends and improve services.
Frequently asked questions
How many emails can the system process?
No limit. We typically analyze thousands to tens of thousands of emails per month.
How far back can history be analyzed?
Standardly 3-12 months, but longer is possible as needed.
How accurate is the categorization?
After training on your categories, we reach 90-95% accuracy.
Can we define custom categories?
Yes, categories are fully customizable to your needs.
How often are reports generated?
Depending on your settings - daily, weekly, or monthly.
Does it work in Czech?
Yes, full support for Czech and other languages.
How long does implementation take?
Typically 2-3 weeks including history import and dashboard setup.
Is it GDPR-compliant?
Yes, full GDPR compliance with optional personal data anonymization.
Can we integrate with our CRM?
Yes, we can connect to most CRM systems to enrich data.
What is the ROI?
Typically 2-3 months thanks to proactive issue resolution and process optimization.