Flagship AI Practice

AI Development Services

Custom AI agents, LLM integrations, RAG pipelines, and AI enablement — from strategy to production

Ajackus builds production-ready AI solutions that automate complex business workflows, enhance decision-making, and unlock new revenue streams. Our AI development practice spans custom agentic AI solutions, large language model (LLM) integration, retrieval-augmented generation (RAG) pipelines, intelligent document processing, and AI enablement consulting for engineering teams.

We don't treat AI as a bolt-on feature. Our AI-native delivery engine embeds Claude Code, Cursor, and GitHub Copilot across the entire software development lifecycle — from requirements analysis and architecture design to code generation, testing, and deployment. The result is AI solutions delivered at unprecedented speed without compromising enterprise-grade quality, security, or scalability.

With 14+ years of engineering depth and proven results across FinTech, PropTech, Healthcare, and Enterprise clients, Ajackus is the AI development partner trusted by companies like VTS, Guidehouse, Gulf Oil, Nium, and Visa.

Explore AI Solutions See Capabilities

14+ Yearsof Engineering Depth

Up to 10xFaster Delivery

What We Deliver

Agentic AI Solutions

Custom AI agents that automate complex multi-step workflows. We build document processing agents, compliance checking agents, customer service AI, internal knowledge base assistants, and automated reporting pipelines. Built on OpenAI GPT-4o, Anthropic Claude, Meta Llama, and Mistral with enterprise-grade guardrails and fallback logic.

LLM Integration and RAG Pipelines

Production-ready large language model integrations with retrieval-augmented generation. We design and implement vector database architectures using Pinecone, Weaviate, and ChromaDB, build prompt engineering frameworks with LangChain and LlamaIndex, and orchestrate multi-model pipelines for complex reasoning tasks.

AI Enablement Consulting

Most engineering teams have access to AI coding tools but lack the methodology to use them effectively. We implement tool governance frameworks, developer training programs (three-tier certification: Practitioner, Power User, Delivery Lead), custom prompt libraries, and DORA measurement systems that unlock real productivity gains — typically 40–60% velocity improvement.

AI-Powered Rapid Prototyping

Functional AI prototypes and MVPs in 2–4 weeks at dramatically reduced cost. We build working demos during the sales process itself using AI coding tools — validating concepts before committing to full engagements. Prototypes are built on production-grade architecture, so what we build can scale directly into your full product.

Intelligent Document Processing

Extract, classify, and route information from contracts, invoices, regulatory filings, medical records, and reports using fine-tuned models and structured extraction pipelines. Our document processing agents handle unstructured data at scale with configurable accuracy thresholds and human-in-the-loop review for edge cases.

AI Workflow Automation

Automate complex multi-step business processes with AI orchestration — from lead qualification and compliance checking to automated reporting and customer onboarding. We connect AI agents to your existing systems via APIs, ensuring seamless integration with tools like Salesforce, ServiceNow, Slack, and custom enterprise platforms.

How It Works

Phase 01

Discovery and Strategy

Week 1-2

We identify the highest-impact AI opportunities in your business. This includes auditing data readiness, mapping existing workflows, defining success metrics, and conducting an AI readiness assessment if needed.

Deliverable

AI strategy document with prioritized use cases and architecture recommendations.

Technology Stack

Our AI development team works with the following technologies and platforms:

AWS Bedrock

Azure OpenAI

ChromaDB

Claude Code

Cursor

Docker

Github Copilot

Hugging Face

Kubernetes

LangChain

Meta Llama

Mistral

Pinecone

Python

Weaviate

AWS Bedrock

Azure OpenAI

ChromaDB

Claude Code

Cursor

Docker

Github Copilot

Hugging Face

Kubernetes

LangChain

Meta Llama

Mistral

Pinecone

Python

Weaviate

AWS Bedrock

Azure OpenAI

ChromaDB

Claude Code

Cursor

Docker

Github Copilot

Hugging Face

Kubernetes

LangChain

Meta Llama

Mistral

Pinecone

Python

Weaviate

Engagement Models

We offer flexible engagement models designed to match your project scope, timeline, and budget.

AI Agent Build

Duration6–12 weeks

FormatFixed-fee, scoped in 48 hours

Best forCustom agents, RAG pipelines, LLM integrations

AI Rapid Prototype

Duration2–4 weeks

FormatFixed-fee, fast-track engagement

Best forConcept validation, stakeholder demos, startup MVPs

AI Enablement Program

Duration4–8 weeks

FormatFixed-fee, milestone-based

Best forTeam training, governance, prompt libraries, DORA metrics

AI Retainer

DurationOngoing

FormatMonthly retainer, flexible scope

Best forContinuous optimization, new agent development, model tuning

Proven Results

View All Case Studies

Real-world impact across industries — from startups to enterprise platforms serving millions of users.

Real Estate

VTS Flex

Case Study

— Oil and Gas

GoSafe App | Gulf Oil Case Study

GoSafe now has enhanced safety protocols and risk mitigation at their workplace.

Learn More

Real Estate

VTS Proposal AI

Frequently Asked Questions

What AI models does Ajackus work with?

We work with all major LLM providers including OpenAI GPT-4o, Anthropic Claude, Meta Llama, Mistral, and open-weight models via Hugging Face. We select the optimal model based on your use case requirements, data privacy needs, cost constraints, and performance targets. For many enterprise applications, we implement multi-model architectures that route different tasks to the most appropriate model.

How long does it take to build a custom AI agent?

A custom AI agent typically takes 6–12 weeks from discovery to production deployment. Simple agents with well-defined workflows can be delivered in as little as 4 weeks. Complex multi-agent systems with extensive integrations may take 12–16 weeks. We offer a 2–4 week rapid prototype option to validate your concept before committing to a full build.

What is AI enablement consulting?

AI enablement consulting helps your existing engineering team adopt AI coding tools effectively. Most teams have access to tools like GitHub Copilot or Cursor but use them ad hoc without governance, training, or measurement. Our program includes tool selection and governance frameworks, a three-tier developer certification program, custom prompt libraries for your codebase, and DORA metrics implementation to measure real productivity gains.

Can Ajackus integrate AI with our existing systems?

Yes. We specialize in integrating AI solutions with existing enterprise systems including Salesforce, ServiceNow, SAP, Slack, Microsoft Teams, custom APIs, and legacy databases. Our integration approach ensures AI agents work within your existing security, authentication, and data governance frameworks.

What industries does Ajackus serve with AI development?

Our AI development practice serves clients across FinTech (KYC/AML automation, compliance agents, payment intelligence), PropTech (automated proposals, property management AI, market analysis), Healthcare (document processing, clinical workflow automation, patient engagement), and Enterprise (GRC automation, safety reporting, audit intelligence). We also serve EdTech, Travel Tech, and Oil and Gas sectors.

How does Ajackus ensure AI security and quality?

Every AI solution includes human review gates on all critical paths, automated security scanning, prompt injection testing, output validation frameworks, and data privacy controls. We implement guardrails and fallback logic to handle edge cases safely. For regulated industries, we build compliance monitoring and audit trail capabilities directly into the AI architecture.