Applied AI and data science for complex business workflows.
Detariz helps organizations turn messy data, documents, reports, and operational workflows into production-ready AI systems, predictive insights, and decision intelligence.
Most companies have data. Few have decision systems.
Teams are surrounded by dashboards, spreadsheets, PDFs, reports, emails, logs, and internal tools. But the path from raw information to useful decisions is still manual, slow, and fragmented. AI pilots often stop at demos because the data is messy, workflows are unclear, outputs are not trusted, and no one has designed the production system around the business process.
Messy data and disconnected systems
Data lives across spreadsheets, PDFs, databases, dashboards, and internal tools.
Manual analysis and reporting
Teams still spend hours turning information into summaries, insights, and decisions.
Document-heavy workflows
Reports, forms, case files, logs, and operational documents slow down execution.
AI pilots stuck before production
Demos work, but systems fail when they hit real workflows, users, and constraints.
Limited internal AI/data capacity
Teams know AI matters but lack the execution capacity to build safely and quickly.
Low trust in automated outputs
AI systems need validation, monitoring, human review, and business context.
We build the intelligence layer between messy information and business decisions.
Detariz works across strategy, data science, GenAI, data engineering, analytics, and AI production to help teams identify high-value opportunities, build working systems, and deploy them into real business workflows.
AI & Data Strategy
Identify high-value use cases, assess data readiness, prioritize opportunities, and create a roadmap from idea to implementation.
- AI/data opportunity audits
- use-case prioritization
- data readiness assessment
- workflow mapping
- implementation roadmaps
Data Science & Machine Learning
Build predictive and diagnostic models that help teams forecast outcomes, detect anomalies, score risk, segment behavior, and optimize decisions.
- forecasting
- anomaly detection
- classification
- risk scoring
- segmentation
- optimization
- predictive operations models
GenAI & Document Intelligence
Turn documents, reports, PDFs, emails, transcripts, and knowledge bases into structured intelligence, summaries, source-cited answers, and workflow outputs.
- document extraction
- report intelligence
- RAG systems
- knowledge assistants
- source-cited Q&A
- workflow copilots
Data Engineering & Analytics Systems
Create the data pipelines, models, dashboards, and analytics layers needed to support reliable AI and decision systems.
- data pipelines
- cleaning and transformation
- dashboard automation
- analytics engineering
- API integrations
- data quality checks
AI Production & Governance
Move AI systems from prototype to production with evaluation, monitoring, human review, validation, and governance.
- evaluation frameworks
- human-in-the-loop workflows
- model and prompt monitoring
- hallucination controls
- governance workflows
- usage and performance tracking
The D2P Framework: Data → Decisions → Production
Successful AI systems do not start with tools. They start with business workflows, usable data, clear decisions, and a production path. Detariz uses the D2P Framework to move from messy inputs to trusted AI/data systems.
Data
Map sources, clean inputs, validate quality, and understand how information flows through the business.
- data source review
- document/report inventory
- workflow mapping
- data quality assessment
- access and integration review
Decisions
Design the intelligence layer: models, summaries, risk signals, recommendations, forecasts, classifications, and decision outputs.
- model design
- GenAI workflow design
- decision logic
- risk/action extraction
- output design
- human review points
Production
Deploy systems into real workflows with monitoring, validation, governance, and user adoption.
- implementation sprint
- evaluation layer
- monitoring
- review workflows
- documentation
- handoff and training
- continuous improvement
Where Detariz creates value.
Reporting Intelligence
Convert recurring reports, status updates, dashboards, and operational summaries into executive-ready intelligence.
Document Intelligence
Extract, summarize, classify, and validate information from PDFs, reports, forms, emails, and case files.
Predictive Intelligence
Use data science to forecast outcomes, detect anomalies, score risk, and identify patterns.
Operations Intelligence
Turn logs, updates, meetings, and workflow data into visibility for managers and executives.
Knowledge Intelligence
Build AI assistants over internal documents, policies, reports, SOPs, and knowledge bases.
AI Production Systems
Take AI prototypes into production with evaluation, monitoring, validation, and human review.
From opportunity to production.
Detariz engagements are designed to move quickly from business problem to working system. We start by identifying the highest-value opportunity, then build focused implementation sprints with clear deliverables, measurable outcomes, and production discipline.
AI/Data Opportunity Call
A focused conversation to understand your business problem, current workflow, data environment, and whether there is a strong AI/data opportunity worth exploring.
AI & Data Opportunity Audit
A structured audit to map workflows, assess data readiness, prioritize use cases, and define the first implementation sprint.
- current-state workflow map
- data/document inventory
- use-case opportunity matrix
- value vs feasibility scoring
- production readiness assessment
- recommended roadmap
- fixed-scope sprint proposal
Implementation Sprint
A focused build to design, prototype, validate, and deploy one AI/data workflow or decision system.
- GenAI document intelligence sprint
- data science model sprint
- reporting intelligence sprint
- data engineering sprint
- AI production readiness sprint
- internal AI assistant / RAG sprint
AI/Data Partner Retainer
Ongoing AI/data support to maintain, improve, expand, and govern systems after implementation.
- monitoring and optimization
- prompt/model tuning
- new use-case scoping
- workflow improvements
- evaluation and QA
- data quality checks
- leadership advisory
- roadmap support
Built for document-heavy, data-heavy, and operations-heavy teams.
Detariz is industry-flexible. The common pattern is not the sector — it is the workflow: complex information, repeated decisions, manual analysis, and high-value operational bottlenecks.
Detariz does not replace domain experts. We build systems that help experts work faster, see more clearly, and make better decisions.
Built around practical implementation, not AI theater.
Detariz is designed around source traceability, human review, evaluation, and measurable business outcomes. Every implementation is built to be tested, reviewed, monitored, and improved in production.
Source-cited outputs
AI-generated summaries and answers should trace back to the original documents, reports, or data.
Human-in-the-loop review
Business users stay in control of final decisions, approvals, and outputs.
Evaluation and validation
Systems are tested against expected outputs, edge cases, and accuracy requirements.
Production-ready workflows
The goal is not a demo. The goal is a workflow that users can actually run.
Report-to-Intelligence System
A sample workflow that ingests reports, documents, meeting notes, and structured data, then produces an executive summary, risk signals, an action tracker, source-cited Q&A, structured extraction, and a decision brief.
Founder-led. Technical. Implementation-focused.
Detariz is a founder-led AI and data science studio focused on helping organizations move from AI experimentation to production systems. The practice combines applied AI, data science, analytics engineering, GenAI workflows, and business implementation discipline.
We work with a focused network of technical specialists across data engineering, machine learning, analytics, and AI implementation when projects require additional delivery capacity.
Have a workflow that should be smarter than it is today?
If your team is sitting on messy data, reports, documents, or AI experiments that have not become production systems, Detariz can help identify the opportunity and build the path forward. Not AI theater. Production-focused implementation.
