Missed the webinar? Watch the full recording.

In Forest AI in Action, Forest's leadership team walks through how AI is being applied directly to real accounting and reporting workflows, turning broad AI capabilities into practical tools firms can use today.

What You'll Learn

1. AI Built Around Real Client Needs

Forest AI development starts with real client challenges. Features are prioritized based on demand, complexity, and real world use cases, ensuring the technology solves actual problems, not just theoretical ones.

2. Automated Statement Analysis

See how Forest AI can:

• Analyze credit card, bank, and broker statements
• Categorize transactions automatically
• Generate 12 month summaries and structured reports
• Identify key items like tax deductible expenses

This significantly reduces manual review and speeds up financial workflows.

3. Flexible AI Generated Reporting and Charts

Unlike traditional reporting tools, Forest AI:

• Builds charts from documents, not just system data
• Adapts to any dataset, both internal and external
• Generates fully customizable visualizations
• Allows users to request specific formats using simple instructions

The result is more dynamic, tailored reporting without rigid templates.

4. Enterprise Grade Data Security

Forest AI is built on AWS Bedrock, ensuring:

• No client data is used to train AI models
• All data remains encrypted and isolated
• No memory is retained between sessions
• Full audit trails for all AI activity

Your data stays private, secure, and fully controlled.

5. What's Coming Next

The roadmap for Forest AI includes:

• Direct interaction with the full Forest database
• AI powered custom report generation
• Automated account reconciliation
• Smarter workflows that reduce repetitive manual tasks

Watch the Recording

See It in Your Own Environment

Forest AI is not just about automation — it's about giving your team better tools to operate at a higher level.