---
title: Services/AIML Solutions
description: Production-ready AI with Agilityx Build With Model and full stack AI services. AgilityX delivers AI agents, automation, and ML solutions with proven ROI.
---

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AI & Machine Learning

# AI/ML Solutions & AI Agents

Custom AI agents, LLM integration, and intelligent automation — built for your specific business workflows, not generic demos.

[Meet with a Specialist](https://calendly.com/mudasir-agilityx/30min?month=2026-03) [Take the Assessment](https://agilityx.ai/assessment?hsLang=en)

Typical Timeline

6–10 weeks

Team Size

2–4 specialists + AI

Cost Savings

40–60% vs traditional

Time to POC

2–3 weeks

OpenAI Claude LangChain Azure AI Databricks ML MLflow Python RAG Vector DBs 

[Meet with a Specialist](https://calendly.com/mudasir-agilityx/30min)

The Challenge

## The challenge

Every vendor is selling AI. But the gap between a demo and production-ready AI is massive. Your team has run proof-of-concepts that impressed the board but never made it to production. Models that worked on clean data fall apart on real-world inputs. And the AI agents everyone's talking about? Most companies have no idea where to start.

The challenge isn't the technology — it's the integration. AI that doesn't connect to your actual data, your actual workflows, and your actual business processes is just an expensive experiment.

Our Approach

## How we solve this differently

![Business-First AI Design](https://agilityx.ai/hubfs/target-1.svg)

### Business-First AI Design

We start with the business outcome you need, then work backward to the right AI solution. Not the other way around.

![Custom AI Agent Development](https://agilityx.ai/hubfs/bot-2.svg)

### Custom AI Agent Development

Purpose-built agents designed for your specific workflows — data processing, document analysis, decision support, automated monitoring.

![LLM Integration & Fine-Tuning](https://agilityx.ai/hubfs/cpu.svg)

### LLM Integration & Fine-Tuning

Enterprise-grade LLM deployments with proper guardrails, monitoring, and governance. Not a ChatGPT wrapper.

![Production-Ready MLOps](https://agilityx.ai/hubfs/settings.svg)

### Production-Ready MLOps

From model training to deployment to monitoring. Automated pipelines that keep models accurate and compliant.

AI-Powered

## What our AI agents handle

Evaluate and benchmark model options against your specific data and use cases

Build automated training and retraining pipelines

Generate integration code connecting AI models to your existing systems

Monitor model performance and detect drift in production

Automate documentation of model decisions for compliance and audit trails

Timeline

## Typical project timeline

Traditional Approach

Research

 4-6 weeks

POC Build

 6–8 weeks

Iteration

 8–12 weeks

Production

 6–8 weeks

MLOps Setup

 4–6 weeks

Agilityx + AI Agents

Discovery

 1 week

POC + Validate

 2–3 weeks

Production Build

 3–4 weeks

Deploy + Monitor

 1–2 weeks

Outcomes

## What you can expect

Weeks

POC to production

Not quarters — real AI in production fast

20–40 hrs

Saved per team per week

Custom AI agents handling manual workflows

Day 1

Enterprise governance built in

Compliance and guardrails from the start, not bolted on later

Case Study

## See it in action

Professional Services

500,000 contracts. 15 languages. A 2-year backlog cleared in 12 weeks — with 99.2% accuracy.

90% faster review with 99.2% validated accuracy

 Read the full story

### Service Overview

Typical Timeline

6–10 weeks

Team Size

2–4 specialists + AI

Cost Savings

40–60% vs traditional

Time to POC

2–3 weeks

Technologies

OpenAI Claude LangChain Azure AI Databricks ML MLflow Python RAG Vector DBs 

[Meet with a Specialist](https://calendly.com/mudasir-agilityx/30min) [Take the Assessment](https://agilityx.ai/assessment?hsLang=en)

## Ready to deploy AI that actually works? Let's talk.

Book a 30-minute discovery call and we'll show you exactly how the Build With model applies to your situation.

[Meet with a Specialist](https://calendly.com/mudasir-agilityx/30min)

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