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Automation

Natural Language
Automation

Define business rules in plain English and let AI execute them. Email routing, data classification, approval workflows — described in natural language, not code.

2.7s
AI Response Time
0
Lines of Code Needed
Multi
Step Workflows
Any
System Integration

How It Works

You describe your business rules in plain English. The AI parses them into executable logic, monitors your business events (emails, form submissions, data changes), and automatically executes the right actions — routing, classifying, notifying, or triggering workflows.

Natural language automation architecture showing business rules input, AI rule engine, and automated action outputs
Example Rule (Plain English)

"If a client emails about billing, forward to accounts and flag as priority. If it mentions overdue, also notify the manager."

The AI understands intent, not just keywords. It handles variations, synonyms, and context.

1

Write Your Rules

Describe what should happen in plain English. No flowcharts, no code, no configuration files. Just describe the logic.

2

AI Processes Events

The AI engine monitors your business events — emails, forms, data changes — and evaluates each against your rules in 2.7 seconds.

3

Actions Execute

Matching rules trigger actions automatically — email routing, notifications, data classification, workflow triggers, system updates.

Technical Details

Local LLM Python IMAP/SMTP REST APIs Webhooks Conditional Logic
AI Engine Details

Language Understanding: Local LLM processes natural language rules and maps them to executable logic with semantic understanding.

Event Processing: Monitors email inboxes, webhooks, file system changes, database triggers, and API endpoints for business events.

Rule Evaluation: Multi-step conditional logic with AND/OR operators, priority ordering, and exception handling.

Action Execution: Integrates with email, databases, APIs, file systems, and notification services to execute actions.

Integration Capabilities

Email: Full IMAP/SMTP integration for reading, routing, replying, and forwarding emails based on content analysis.

APIs: Connect to any REST API — CRM systems, accounting software, project management tools, custom applications.

Databases: Direct database integration for reading and writing data based on rule outcomes.

Notifications: Push notifications (Pushover), SMS, email alerts, and webhook callbacks.

Who This Is For

Professional Services

Automated client communication routing, intake form processing, appointment scheduling, and follow-up workflows for law firms, accountants, and consultancies.

Operations Teams

Order processing, support ticket routing, inventory alerts, vendor communication, and approval workflows without complex automation platforms.

Small Businesses

Automate the repetitive tasks that consume hours every week. Email management, data entry, customer follow-ups, and report generation.

Frequently Asked Questions

What does "natural language automation" mean?
Instead of writing code or configuring complex rule engines, you describe your business rules in plain English. For example: "If a client emails about billing, forward to accounts and flag as priority." The AI understands the intent and executes the logic automatically.
Do I need technical skills to set up automations?
No. The entire point is that business rules are written in plain English by anyone who understands the workflow. No coding, no drag-and-drop flowcharts, no technical configuration. If you can describe the rule, the AI can execute it.
What systems can it integrate with?
The automation engine integrates with email systems (IMAP/SMTP), databases, REST APIs, file systems, and common business tools. Custom integrations are built as part of the project to connect with your specific systems — CRM, accounting, project management, etc.
How fast does the AI process rules?
Average AI response time is 2.7 seconds from trigger to action. This covers understanding the input, evaluating against your rules, and executing the appropriate action. For time-sensitive workflows, this is effectively real-time.

Automate Your Workflows in Plain English

No code. No complex platforms. Just describe what you want to happen and the AI makes it so.