Levity: From Static Task Rules to Intelligent Process Recognition

In the world of workflow automation, many businesses still rely on static rules to handle repetitive tasks:
“If X happens, do Y.” This approach works for simple, structured inputs – but breaks down quickly when data becomes unstructured, diverse, or unpredictable.

Think about the variability in:

Emails from customers
Job applications and resumes
PDF attachments or form entries
User feedback with mixed sentiments

What if the incoming content shifts in tone, language, or structure? What if your process needs to react based on the meaning of what’s being said – not just its format?

That’s exactly where Levity shines. It brings AI-powered classification and contextual decision-making into workflows too complex for traditional automation. With a no-code interface and accessible training system, Levity empowers business teams — not just developers — to build workflows that learn, adapt, and improve.

🔗 Related: Dynamic vs Static Workflows
🔗 See also: Automating Workflows with AI – Pillar Article

What Makes Levity a Tool for Dynamic Workflows?

Levity isn’t just another automation platform. It gives you the ability to train custom AI models on your own business data — such as emails, CVs, messages, documents, or images – and use those models to automate decisions based on meaning and context.

Here’s what sets it apart:

Custom Classification: Train a model to recognize types of messages, sentiment, or categories specific to your business (e.g., support request vs. product feedback vs. refund claim).
Actionable Triggers: Use classification outcomes to route messages, assign tasks, or trigger alerts – even when the incoming content is messy or inconsistent.
Continuous Learning: As your team validates or adjusts predictions, the model improves automatically. You’re not locked into a static rule set.

This combination allows for true workflow intelligence – workflows that adapt, evolve, and reflect the actual language and structure of your daily operations.

Use Case: Smart Resume Routing

Let’s explore a real-world example that shows the shift from static logic to dynamic, AI-driven processing.

Scenario: Your HR team receives hundreds of resumes every month. Most go to the same inbox and require manual screening. The content varies: PDFs, Word docs, different languages, layouts, job types.

Static Workflow Logic:

Every CV → goes to HR inbox
HR manually reads and classifies by relevance
No tracking of pipeline efficiency or patterns

Dynamic Workflow with Levity:

Levity scans the CV file
Uses a custom AI model trained on past successful candidates
Assigns a score for role fit
If score > 80% → forward to hiring manager
If score < 80% → file for future reference
If no candidates >80% in a week → alert HR team to review pipeline

Result: Faster candidate triage, better use of HR time, and a smarter way to prioritize talent.

This is dynamic workflow design in action — content is interpreted, scored, and responded to based on its meaning, not its format or sender.

Key Advantages for Workflow Designers

Levity brings unique strengths to any team looking to move from static to dynamic workflows:

No-Code Interface: You don’t need technical skills. HR, support, or ops teams can train models and create flows with ease.
Multi-Format Compatibility: Levity supports emails, PDFs, images, documents, and form responses.
Modular Integration: Easily connects with tools like Notion, Airtable, Slack, Gmail, and Zapier to expand your automation ecosystem.
Adaptive Intelligence: The more your team uses Levity, the better its predictions get – reducing manual review and exception handling.

This means Levity is not just an automation tool – it’s a self-improving workflow engine built for real business complexity.

Other Business Applications

Beyond resume routing, Levity is ideal for:

Customer Support: Categorize inbound emails or tickets by intent (complaint, question, praise) and route accordingly.
Marketing: Analyze customer reviews or survey responses to extract trends or urgency.
Logistics: Automatically flag delivery documents or claims based on keywords, tone, or visual layout.
Product Teams: Classify bug reports or feature suggestions and link to internal tracking systems.

Each use case benefits from real-time understanding and contextual response – critical pillars of dynamic workflows.

Static automation is no longer enough. In an age where customer messages, resumes, and internal documents are unpredictable, you need workflows that can interpret content – not just react to structure.

Levity makes that possible. It enables business teams to train, deploy, and refine AI models that understand real input, trigger intelligent actions, and evolve over time.

If your business processes are bottlenecked by inconsistent data, manual triage, or rigid logic, Levity is your gateway to intelligent, dynamic automation.

📎 Explore more:
Tally + ChatGPT: AI-Powered Forms
Make: Build Multi-Path Workflows Visually
Support Article: Dynamic vs Static Workflows