{
  "$schema": "https://azraanalytics.com/schemas/services.schema.json",
  "generated": "2026-10-07",
  "organization": {
    "name": "Azra Analytics",
    "url": "https://www.azraanalytics.com",
    "summary": "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 decide.",
    "positioning": "Strategy-driven. Open-source-first. Built for your operating environment.",
    "location": "Based in Michigan, United States. Works with organizations internationally.",
    "contact": "omar@azraanalytics.com",
    "linkedin": "https://www.linkedin.com/company/azra-analytics"
  },
  "engagement_model": "Services function as one connected cycle: strategy informs decisions, data engineering builds foundations, machine learning generates insights, and AI applications embed those insights into workflows. Engagements range from focused projects to comprehensive transformations.",
  "principles": [
    "Strategy first: start from the decision worth improving, not from a technology.",
    "Open-source first: no lock-in to tools the client does not need or cannot maintain.",
    "Built for the client's environment, including on-premises when data cannot leave the building.",
    "Human review by design: people stay accountable for the decisions that matter.",
    "Everything written down, so the client can carry on with or without Azra."
  ],
  "cadence": "Kickoff to agree the decision, people, and success criteria; weekly check-ins; a written deliverable at every stage; handover of code, documentation, and a walkthrough.",
  "engagement_options": [
    {
      "id": "readiness-sprint",
      "name": "Readiness Sprint",
      "url": "https://www.azraanalytics.com/services.html#readiness-sprint",
      "role": "Recommended starting point",
      "duration": "2 weeks",
      "scope": "Fixed",
      "description": "Find out where AI and data can make a measurable difference in the organization, and what has to be true first.",
      "plan": [
        "Week 1: stakeholder interviews, workflow and decision mapping, review of the data sources those decisions depend on.",
        "Week 2: scoring candidate use cases on impact and feasibility, sizing the data gaps, building the plan."
      ],
      "deliverables": [
        "Decision & Data Roadmap: ranked use cases, the data gaps behind them, clear owners, and a 90-day plan",
        "Readout session with the leadership team"
      ],
      "related_tool": "https://www.azraanalytics.com/readiness.html"
    },
    {
      "id": "build",
      "name": "Build",
      "url": "https://www.azraanalytics.com/services.html#engage",
      "role": "After the Sprint",
      "duration": "Scoped to the use case",
      "description": "Take one prioritized workflow from the roadmap to production: the pipelines it needs, a model where one is warranted, and an application embedded in the tools the team already uses, with human review built in."
    },
    {
      "id": "embed",
      "name": "Embed",
      "url": "https://www.azraanalytics.com/services.html#engage",
      "role": "Ongoing",
      "description": "Monitoring, retraining, and iteration as data changes, then extending the approach to the next workflow on the roadmap."
    },
    {
      "id": "workshops",
      "name": "AI & Data Analytics Workshops",
      "url": "https://www.azraanalytics.com/services.html#workshops",
      "role": "Any time",
      "duration": "Format and length set with the client",
      "description": "Hands-on workshops customized to the client's team, data, and decisions. Example topics: AI literacy for leaders, using AI tools safely in day-to-day work, analytics with your own data, spotting good AI use cases."
    }
  ],
  "services": [
    {
      "id": "strategy-and-workflow-design",
      "number": "01",
      "name": "Strategy and Workflow Design",
      "problem_solved": "Organizations know AI matters but cannot tell which workflows, decisions, or operational problems are actually worth investing in.",
      "description": "We identify the workflows, decisions, and operational challenges where data, machine learning, and AI can create measurable value, then translate those opportunities into a practical implementation roadmap.",
      "deliverables": [
        "Decision and workflow maps",
        "Prioritized opportunities",
        "Implementation guidance and roadmap"
      ],
      "typical_duration": "3 to 8 weeks",
      "ideal_client": "Leaders with fragmented data and several candidate AI ideas who need a defensible sequence and business case before committing budget.",
      "proof": ["assessment-of-pakistans-public-health-data-infrastructure"]
    },
    {
      "id": "data-ingestion-and-engineering",
      "number": "02",
      "name": "Data Ingestion & Engineering",
      "problem_solved": "Data is scattered across systems, spreadsheets, and documents, is inconsistently structured, and cannot be trusted for reporting or modeling.",
      "description": "We connect fragmented data sources and build reliable pipelines, data models, and analytical foundations. The result is trusted, accessible data that can support reporting, machine learning, and AI applications.",
      "deliverables": [
        "Automated ingestion and ETL pipelines",
        "Structured data models and warehouse layer",
        "Validation and data-quality controls"
      ],
      "typical_duration": "4 to 12 weeks",
      "ideal_client": "Operations and analytics teams whose reporting breaks because source data is manual, duplicated, or spread across many systems.",
      "proof": [
        "integrated-data-and-safety-platform-for-transportation",
        "data-ingestion-pipeline-for-pdfs-and-document-images"
      ]
    },
    {
      "id": "machine-learning",
      "number": "03",
      "name": "Machine Learning",
      "problem_solved": "A recurring, high-value decision is being made with intuition or simple rules when historical data could support it.",
      "description": "We develop predictive and analytical models built around specific business decisions, from forecasting and anomaly detection to risk assessment, optimization, and operational planning.",
      "deliverables": [
        "Predictive and anomaly-detection models",
        "Decision-support systems",
        "Explainability, evaluation, and monitoring"
      ],
      "typical_duration": "6 to 16 weeks",
      "ideal_client": "Teams with a clearly defined decision, a source of ground-truth history, and the ability to act on a model's output.",
      "proof": [
        "expense-anomaly-detection",
        "integrated-data-and-safety-platform-for-transportation"
      ]
    },
    {
      "id": "ai-application-development",
      "number": "04",
      "name": "AI Application Development",
      "problem_solved": "Insights and models exist but are not embedded where work actually happens, so they do not change day-to-day behavior.",
      "description": "We build practical AI applications that integrate models, organizational knowledge, and human judgment into everyday workflows: intelligent assistants, recommendation systems, document-processing tools, and custom decision-support applications.",
      "deliverables": [
        "Intelligent assistants and copilots",
        "Document-processing and extraction systems",
        "Custom decision-support applications with human-in-the-loop review"
      ],
      "typical_duration": "8 to 20 weeks",
      "ideal_client": "Organizations that have a proven insight or manual process and want it delivered as a dependable application with auditability and human oversight.",
      "proof": ["data-ingestion-pipeline-for-pdfs-and-document-images"]
    }
  ]
}