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

# AI agent development services

Turn recurring requests into completed tasks across your existing tools.

[Discuss Your Workflow](https://daphnislabs.com/contact?service=agentic-ai-automation) [See Deliverables](https://daphnislabs.com/services/agentic-ai-automation#deliverables)

Agent Runtime: a request enters the runtime, is reasoned over, calls approved tools, pauses for human approval, executes and is monitored.

Input

Integrations

Reason

Tools

Approval

Action

Monitor

Agent Runtime

Trigger

Reason

Tools

Approval

Execute

Monitor

## Relevant technologies

-   ![LangGraph](https://daphnislabs.com/images/ai-models/langgraph.svg) LangGraph
-   ![CrewAI](https://daphnislabs.com/images/ai-models/crewai.svg) CrewAI
-   LangChain
-   ![MCP](https://daphnislabs.com/images/ai-models/mcp.svg) MCP
-   ![Claude](https://daphnislabs.com/images/ai-models/claude.svg) Claude
-   OpenAI

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

## What Can We Automate?

[Explore all use cases](https://daphnislabs.com/solutions)

-   ### Customer Support
    
-   ### CRM Operations
    
-   ### Data Processing
    
-   ### Approval Queues
    
-   ### Task Coordination
    
-   ### Reporting
    

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## What You Actually Get

-   **Workflow Specification**
-   **Tool Adapters**
-   **Approval Rules**
-   **Execution Logs**

-   **Deployment Package**
-   **Admin Console**
-   **Operator Guide**
-   **Handover Session**

## A missing parcel. A prepared replacement.

9:41 •••

**Support desk**

Order #1042 never arrived. Can you help?

### A person decides

Replacement #1042-R is ready for the support lead.

Awaiting approval · not dispatched

### Replacement draft

**Original**

#1042 · Lost in transit

**Item**

Stoneware mug × 1

**Customer charge**

No additional charge

**Dispatch**

Approval required

Example record

Illustrative animation · Sample scenario

### Read this example

Order #1042 never arrived. Can you help?

1.  **Checking the order.** Payment received. Carrier reports a lost parcel. _Reading order + tracking._
2.  **Replacement prepared.** Same mug, same address. Stock reserved for review. _Draft only._
3.  **A person decides.** Replacement #1042-R is ready for the support lead. _Awaiting approval · not dispatched._

The agent gathers the facts and prepares the action; the support lead authorises dispatch.

Scripted illustration using sample information, not a client case study or a live system.

## What Does It Take to Build?

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

Pilot

Production

Multi-Team

-   ### Pilot
    
    -   One workflow
    -   1–2 integrations
    -   Pilot validation
    
    [Get an Estimate](https://daphnislabs.com/contact?service=agentic-ai-automation)
-   Most popular
    
    ### Production
    
    -   Multiple workflows
    -   3–6 integrations
    -   Production rollout
    
    [Discuss Your Project](https://daphnislabs.com/contact?service=agentic-ai-automation)
-   ### Multi-Team
    
    -   Multiple agents
    -   Cross-team processes
    -   Custom integration scope
    -   Ongoing engineering
    
    [Talk to Us](https://daphnislabs.com/contact?service=agentic-ai-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 Workflow Automation](https://daphnislabs.com/services/ai-workflow-automation) [AI Integrations & APIs](https://daphnislabs.com/services/ai-integrations-apis) [AI Evaluation & Guardrails](https://daphnislabs.com/services/ai-evaluation-guardrails) [AI for Internal Operations](https://daphnislabs.com/solutions/ai-for-internal-operations)

## FAQs

### Which workflows should we start with?

Repeatable multi-step work with clear inputs, tools, approval points and measurable outcomes is the strongest starting point.

### How are agent actions controlled?

Tools are allow-listed, parameters are validated and sensitive writes pause for human approval before execution.

### What happens when an agent fails?

Runs use visible error states, idempotent retries, escalation paths and audit records so operators can recover safely.

### Can you connect to existing tools?

Yes. Existing APIs and systems are wrapped with explicit schemas, identity scope and safe-write boundaries.

### How is agent quality measured?

Task completion, tool selection, approval outcomes, failure modes, cost and operator feedback are tracked over time.

### What affects the delivery timeline?

Workflow clarity, API access, approval ownership, exception paths and evaluation readiness shape the timeline.

## Which recurring task costs your team time?

Bring one process and the tools involved. We’ll scope a first workflow.

[Discuss Your Workflow](https://daphnislabs.com/contact?service=agentic-ai-automation) [AI Opportunity Finder](https://daphnislabs.com/ai-opportunity-finder)