Source: https://daphnislabs.com/services/ai-workflow-automation

# AI workflow automation services

Combine business rules with AI extraction, classification and drafting in your existing workflows.

[Map My Workflow](https://daphnislabs.com/contact?service=ai-workflow-automation) [See Deliverables](https://daphnislabs.com/services/ai-workflow-automation#deliverables)

01 **Event**

02 **Business rules**

03 **AI task**

04 **Validation**

05 **Action**

! **Exception**

Trigger

Rules

AI step

Validate

Act

Resolve

## Relevant technologies

-   ![n8n](https://daphnislabs.com/images/ai-models/n8n.svg) n8n
-   ![LangGraph](https://daphnislabs.com/images/ai-models/langgraph.svg) LangGraph
-   OpenAI
-   Node.js
-   REST
-   PostgreSQL

[All technologies](https://daphnislabs.com/#technologies-we-use)

## What Can We Automate?

[Explore services](https://daphnislabs.com/services)

-   ### Lead Intake
    
-   ### Support Queues
    
-   ### Content Operations
    
-   ### Recurring Reports
    
-   ### Document Intake
    
-   ### System Handoffs
    

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## What You Actually Get

-   **Workflow Map**
-   **Trigger Configuration**
-   **Extraction Templates**
-   **Rule Definitions**

-   **Action Connectors**
-   **Exception Queue**
-   **Run Dashboard**
-   **Recovery Playbook**

## Selected Work

[View all case studies](https://daphnislabs.com/case-studies)

![PA — official Shopify app listing image](https://daphnislabs.com/images/projects/pa-product-collection-sort/listing-1.webp)

### [PA: Product & Collection Sort](https://daphnislabs.com/case-studies/pa-product-collection-sort)

Sales signals, stock levels and merchant rules help decide which products shoppers encounter first.

View project

## Example: Our Shopify Image Automation.

1.  **Product Brief**
    
    Example input: create a product image for a Shopify listing.
    
2.  **Node.js Server**
    
    We built a Node.js server to automate the image-generation workflow.
    
3.  **ChatGPT**
    
    The automation uses ChatGPT for image generation.
    
4.  **Image Set**
    
    Generated product imagery is the output of the automation.
    
5.  **Review**
    
    In this walkthrough, check the generated imagery before using it in the store.
    
6.  **Shopify Assets**
    
    The reviewed images are ready for use in a Shopify product listing.
    

[Try the interactive example](https://daphnislabs.com/services/ai-workflow-automation#ai-workflow-automation-workflow)

## What Does It Take to Build?

[Get a custom estimate](https://daphnislabs.com/contact?service=ai-workflow-automation)

Pilot

Production

Enterprise

-   ### Pilot
    
    -   One process
    -   Limited trigger types
    -   Sample runs
    
    [Get an Estimate](https://daphnislabs.com/contact?service=ai-workflow-automation)
-   Recommended
    
    ### Production
    
    -   Several connected tools
    -   Live operational volume
    -   Team exception handling
    
    [Map My Workflow](https://daphnislabs.com/contact?service=ai-workflow-automation)
-   ### Enterprise
    
    -   Multiple departments
    -   Cross-process dependencies
    -   Custom operations reporting
    -   Ongoing optimisation
    
    [Talk to Us](https://daphnislabs.com/contact?service=ai-workflow-automation)

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**Founded in**

2013

**Projects delivered**

550+

**Client countries**

43+

**Global offices**

3

Engineering teams New Delhi · Dubai · Cyberjaya

Proof [Case studies](https://daphnislabs.com/case-studies)

Stack [Technologies we build with](https://daphnislabs.com/#technologies-we-use)

[AI Development](https://daphnislabs.com/services/ai-development) [Agentic AI Automation](https://daphnislabs.com/services/agentic-ai-automation) [LLM App Development](https://daphnislabs.com/services/llm-app-development) [AI for Internal Operations](https://daphnislabs.com/solutions/ai-for-internal-operations) [AI for Ecommerce](https://daphnislabs.com/solutions/ai-for-ecommerce)

## FAQs

### How is this different from an AI agent?

A workflow follows a defined sequence and branches through explicit rules. An agent may choose intermediate steps or tools. We use the level of flexibility the task needs.

### Can you use our existing automation platform?

Yes, where its connectors, execution limits and operating model fit the task. We can extend an existing platform or build the parts it cannot cover.

### What happens when a system is unavailable?

The workflow needs a defined retry policy, an exception state and an owner. Operations that change records should avoid duplicate execution where the target system supports it.

### Can staff correct an extracted value?

Yes. A review screen or exception queue can let an authorised person amend missing or ambiguous fields before the workflow continues.

### Do all steps need AI?

No. Routing rules, calculations and known transformations are often better expressed directly in code or the automation platform. AI is used for the parts that need it.

### How do we assess whether it is worth automating?

Start with run volume, handling time, exception frequency and the cost of errors. These provide a baseline for deciding whether the first workflow is useful.

## Which handoff keeps slowing your team down?

Bring a recent example, the tools involved and the exceptions people handle today.

[Map My Workflow](https://daphnislabs.com/contact?service=ai-workflow-automation) [AI Opportunity Finder](https://daphnislabs.com/ai-opportunity-finder)