# Azra Analytics

> Azra Analytics is a strategy-driven data and AI development firm. We connect business
> strategy, workflow design, data engineering, machine learning, and AI application
> development to improve how organizations operate and make decisions. Based in Michigan,
> United States; working with organizations internationally.

Key facts:

- Positioning: "Strategy-driven. Open-source-first. Built for your operating environment."
- Core belief: "AI is becoming ubiquitous. Competitive advantage is not." Value comes from
  integrating data, models, and human expertise into the workflows that decide how an
  organization operates.
- Contact: omar@azraanalytics.com — https://www.linkedin.com/company/azra-analytics
- Engagements range from focused projects to comprehensive transformations.

## Services

- [Services overview](https://www.azraanalytics.com/services.html): the four connected service lines.
- [Machine-readable service catalog](https://www.azraanalytics.com/services.json): each service with the problem it solves, deliverables, typical duration, ideal client, and proof project.
- 01 Strategy and Workflow Design — find and prioritize the workflows and decisions where data/ML/AI create measurable value; produce an implementation roadmap.
- 02 Data Ingestion & Engineering — connect fragmented sources; build pipelines, data models, and validation so data can be trusted.
- 03 Machine Learning — predictive and analytical models built around a specific business decision (forecasting, anomaly detection, risk, optimization).
- 04 AI Application Development — embed models and organizational knowledge into everyday workflows: assistants, document-processing systems, decision-support apps with human review.

## Ways to engage

- [Readiness Sprint](https://www.azraanalytics.com/services.html#readiness-sprint) — the recommended starting point. Fixed scope, 2 weeks. Week 1: stakeholder interviews, workflow and decision mapping, data source review. Week 2: use-case scoring on impact and feasibility, data gap sizing, planning. Deliverable: a Decision & Data Roadmap (ranked use cases, data gaps, owners, 90-day plan) plus a leadership readout.
- Build — take one prioritized workflow from the roadmap to production, with human review built in.
- Embed — ongoing monitoring, retraining, and iteration, then the next workflow on the roadmap.
- [AI & Data Analytics Workshops](https://www.azraanalytics.com/services.html#workshops) — hands-on workshops customized to a company's team, data, and decisions.
- How we work: strategy first, open-source first, built for the client's environment (including on-premises), human review by design, everything written down. Kickoff, weekly check-ins, a written deliverable at every stage, handover.

## Selected work

- [Projects overview](https://www.azraanalytics.com/projects.html)
- [Machine-readable project catalog](https://www.azraanalytics.com/projects.json)
- Assessment of Pakistan's Public-Health Data Infrastructure — countrywide evaluation with U.S. CDC backing; National Health Data Center review, capacity surveys across 124 districts, fieldwork at 81 facilities.
- Expense Anomaly Detection — anomaly-detection framework for five years of expense transactions at a major leasing organization (Isolation Forest, HBOS, denoising autoencoders, rule-based controls, explainability).
- Integrated Data and Safety Platform for Transportation — data warehouse, ETL, REST API, and analytics layer for a trucking company; predictive modeling on millions of federal inspection records.
- Data Ingestion Pipeline for PDFs and Document Images — on-premises AI platform converting scanned bank statements into validated transaction data (document classification, OCR, LLMs, deterministic parsers, arithmetic validation, human exception review).

## Team

- [Team](https://www.azraanalytics.com/team.html)
- Omar Malik — Founder & CEO — business strategy, decision architecture, data science and AI.
- Ahmad Jamal Khan — Operations & Project Coordination Lead — 30+ years in financial services, risk, and compliance.
- Shahbaz Khan — Data Scientist & AI Developer — end-to-end data and ML solutions; IEEE Best Paper Award for CNN research.

## Tools and resources

- [Resources hub](https://www.azraanalytics.com/resources.html) — one page linking every free tool, the FAQ, and the workshops.

- [AI & Data Readiness Assessment](https://www.azraanalytics.com/readiness.html) — free 15-question
  self-assessment scoring an organization 0–100 across five dimensions (data foundations,
  governance and trust, capability and ownership, use-case pipeline, decision culture) and
  returning three prioritized next moves. Runs entirely in the browser; no account, no data
  submission. Bands: Exploring (0–34), Building (35–54), Operating (55–74), Compounding (75–100).
- [U.S. Business AI Adoption Tracker](https://ai-adoption-tracker.onrender.com/) — free public data app on how U.S. businesses adopt AI across states, industries, and firm sizes.
- [AI Adoption Tracker landing page](https://www.azraanalytics.com/ai-adoption-tracker.html)
- [FAQ](https://www.azraanalytics.com/faq.html) — how engagements are scoped, what assessments cover, when to use ML vs. rules, automate vs. augment.
- [Contact](https://www.azraanalytics.com/contact.html)

## Optional

- [Full text of all pages](https://www.azraanalytics.com/llms-full.txt)