Artificial Intelligence

Our Services

AI-Driven Design

RAG and semantic AI cut knowledge lookup 35–50% and speed reports 3–5×, secure, vendor-agnostic, and production-ready for enterprises and governments.

We transform complex business processes with production-proven AI solutions. From intelligent document processing to government service optimization, our AI delivers measurable results with enterprise-grade security.

AI That Delivers

Pragmatic, Secure,
Measurable

We build production-ready AI that respects data governance and delivers measurable impact across teams and channels.

Reduce knowledge lookup time 35–50% and generate reports 3–5× faster with tailored RAG and semantic search.

AZMX delivers pragmatic AI through RAG, semantic search, and agentic services built on secure, vendor-agnostic stacks. We integrate with existing data and platforms, optimize accuracy, latency, and cost, and embed guardrails and governance. Discovery sprints prove value quickly, while pilots are containerized for cloud or on-prem deployment. Dashboards track usage, quality, and ROI at scale.

Faster Insights

Semantic search and RAG surface precise answers quickly, reducing research time and enabling better decisions across roles.

Lower Costs

Open-source vector stores and model flexibility reduce infrastructure spend, avoid lock-in, and optimize total cost of ownership.

Faster Delivery

Modular, containerized services move from proof-of-concept to production in weeks, integrating through secure APIs with existing stacks.

Methods & Tools

We combine vendor-agnostic models, robust data pipelines, and governed deployment. By prioritizing security, relevance, and maintainability, we deliver reliable AI that scales across cloud, on-prem, and regulated environments.

AI Solutions Architecture Overview^/
Intelligent Document Processing & Compliance^/
Process Automation & Optimization^/
RAG Architecture Document^/
Knowledge Base Curation^/
Prompt Engineering Playbook^/
Retrieval Evaluations^/
Hallucination Guardrails^/
Enterprise Semantic Search Layer^/
Embedding Strategy^/
Vector Store Schema^/
Index Tuning Guidelines^/
Query Rewriting Rules^/
Relevance Benchmark Suite^/
Evaluation Harness^/
Model Registry Setup^/
Multi-Model Routing Policy^/
Cost/Latency Optimizer^/
Agent Orchestration Flows^/
API Specifications^/
FastAPI Micro-services^/
Docker Deployment Manifests^/
CI/CD Pipeline^/
VPC Network Topology^/
IAM and RBAC Matrix^/
Audit Logging Plan^/
Data Governance Checklist^/
PII Redaction Pipeline^/
Monitoring and Alerting^/
Usage Analytics Dashboard^/
SLA and SLO Definitions^/
Playbooks and Runbooks^/
User Adoption Training^/
CoE Enablement Pack^/
Pilot Success Criteria^/

Our Approach

Discover
Design
Build
Scale

Find Value,

Identify feasible use cases and data constraints early.

We begin with a discovery sprint to surface high-value use cases, ROI hypotheses, and data realities. Workshops and interviews map processes, risks, and compliance requirements. A data readiness review checks sources, quality, permissions, and PII. We evaluate security boundaries and deployment options. The outcome is a prioritized opportunity list, baseline metrics, and an execution roadmap aligned to business goals, budget, and governance requirements.

Use-case mapping

Data audit

Risk review

ROI hypotheses

Architect Safely,

Blueprint RAG, search, and agents with guardrails.

We design the target architecture: ingestion, chunking, embeddings, retrieval, ranking, and response synthesis. We define vector store schemas, index strategies, and evaluation harnesses. Guardrails—PII redaction, citation policies, prompt hardening, and allow-lists—reduce hallucination and leakage. We choose models and routing based on accuracy, latency, and cost. Security, IAM, and audit requirements are embedded. Deliverables include diagrams, APIs, benchmarks, and a pilot implementation plan.

RAG design

Guardrail policies

Model selection

API specs

Prove Fast,

Develop micro-services, integrate data, and validate performance.

We implement modular services using Python, FastAPI, LangChain, and LangGraph. Data pipelines normalize, chunk, and enrich content; embeddings are generated and indexed. We containerize with Docker and set up CI/CD. Benchmarks measure latency, cost, and quality; usability tests validate outputs with users. Monitoring, logging, and alerts are configured. The pilot ships to a secure VPC or on-premises environment with dashboards tracking predefined KPIs.

Modular services

CI/CD ready

KPI dashboards

User validation

Operate Reliably,

Harden, expand, and optimize models and infrastructure.

We productionize the pilot: autoscaling, failover, and observability; RBAC, secrets, and audit trails. We enhance retrieval quality, tune indexes, and refine prompts. Multi-model routing balances cost and accuracy. We enable CoE playbooks, training, and governance cadences. Continuous evaluation detects drift and maintains relevance. Rollouts extend to new domains and channels with change management and SLAs ensuring predictable service and measurable outcomes.

Autoscaling & failover

RBAC & audit

Quality tuning

CoE enablement

Our Clients

We believe in fostering strong relationships with our clients, working hand-in-hand to bring their vision to life. Our team listens attentively, asks the right questions, and applies our expertise to deliver solutions that not only meet but exceed expectations.

What they said?

AZM X's team demonstrated outstanding expertise and dedication throughout the project. Their innovative approach and thorough design processes significantly improved our mobile application, resulting in a seamless and user-friendly experience for our customers. The insights and recommendations provided by azmx during the testing phases were invaluable, leading to the refinement and optimization of our app.

Emad Khawaja
UX Director - Alrajhi Bank

I worked with AZM X on a UX design project for our urpay app and was thoroughly impressed with their work. Their team of talented designers and researchers provided us with a user-centric approach and delivered outstanding designs that exceeded our expectations. AZM X’s attention to detail, commitment, and dedication to delivering results made the collaboration a seamless experience. I highly recommend AZM X to anyone looking for a top-notch UX design partner.

Bandar Alhussaini
UX Director – Neoleap

AZM X's professionalism, attention to detail, and commitment to delivering high-quality results made them an excellent partner. They consistently met project deadlines and exceeded our expectations in every aspect of the project. Their ability to understand our specific needs and translate them into effective design solutions was particularly impressive.

Najla Alzahrani
VP, Self-Sustainable Programs – Tamkeen Technologies

Rather than awaiting instructions on design approaches, AZM X proactively conducts their own research into the subject matter, immersing themselves fully, which consistently leads to exceptional results. This proactive and in-depth approach was particularly evident in our collaboration on designing the Alrajhi Capital Super Mobile App, where their dedication and insight played a pivotal role in its success.

Haytham Ali 
VP Digital Factory - Alrajhi Capital

Your Questions,
Answered

Curious minds welcome! Reach out to our expert for personalized insights and answers.

Ghaffar Sethar

Head of Business & Strategy

Ghaffar a Design leader with over 18 years of expertise in User Experience Consultancy and design. Ghaffar is a design leader and practitioner who finds it immensely rewarding to bring out the best in his team. He enjoy designing organizational and UX strategies, synergising design, innovation, and business together in bringing effective people-centric business results. His personal and business focus is 'Design for Users People.

Schedule a Call

Here are the essentials of our AI services, including scope, timelines, costs, security, methods, and deliverables, so you can plan confidently and ship reliable, governed AI that delivers measurable business value.

What AI services do you offer?
RAG platforms, enterprise semantic search, vector-store engineering, GenAI app development, multi-model integration, and AI advisory.
Which models do you support?
GPT-4o and other GPT versions, Anthropic/Google options, plus open-source Llama-3, Mistral, and BGE-m3 embeddings.
How fast can we see value?
Discovery in two weeks; pilot builds in 4–6 weeks; then scale and optimize.
What infrastructure do you use?
OpenSearch, ElasticSearch, PostgreSQL pg_vector; portable across cloud, on-prem, or VPC.
What security measures are standard?
Enterprise IAM, VPC isolation, audit logging, and data-governance controls from day one.
What measurable benefits are typical?
35–50% faster knowledge lookup, 3–5× faster report drafting, up to 40% infrastructure savings versus proprietary appliances.
Do you integrate with existing systems?
Yes—API-first micro-services (FastAPI) with CI/CD and containerized deployment.
How do you measure quality?
Relevance benchmarks, evaluation harnesses, A/B tests, dashboards for latency, cost, and accuracy.
What about responsible AI?
We implement guardrails, allow-lists, PII redaction, and governance aligned to your compliance needs.
Can you support Arabic and multilingual content?
Yes—multilingual embeddings and evaluation for Arabic, English, and more.
Do you provide enablement?
Yes—CoE setup, playbooks, workshops, and shared governance to upskill teams.