Applied AI & Data Science Studio

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.

Built for teams moving beyond AI pilots.Strategy, build, and production support.
SourcesIntelligence layerOutputs
01Documents
02Reports
03Data systems
04Workflows
01Data pipelines
02GenAI workflows
03ML models
04Evaluation layer
05Human review
01Decision briefs
02Forecasts
03Risk signals
04Source-cited answers
05Production workflows
01 — Ingest02 — Process03 — Deliver
The Problem

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.

01

Messy data and disconnected systems

Data lives across spreadsheets, PDFs, databases, dashboards, and internal tools.

02

Manual analysis and reporting

Teams still spend hours turning information into summaries, insights, and decisions.

03

Document-heavy workflows

Reports, forms, case files, logs, and operational documents slow down execution.

04

AI pilots stuck before production

Demos work, but systems fail when they hit real workflows, users, and constraints.

05

Limited internal AI/data capacity

Teams know AI matters but lack the execution capacity to build safely and quickly.

06

Low trust in automated outputs

AI systems need validation, monitoring, human review, and business context.

Capabilities

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.

CAP / A

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
CAP / B

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
CAP / C

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
CAP / D

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
CAP / E

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
Methodology

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.

01

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
02

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
03

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
Use Cases

Where Detariz creates value.

Reporting Intelligence

Convert recurring reports, status updates, dashboards, and operational summaries into executive-ready intelligence.

Outputs
executive summariesrisk signalstrend analysisaction itemsdecision briefs

Document Intelligence

Extract, summarize, classify, and validate information from PDFs, reports, forms, emails, and case files.

Outputs
structured data extractiondocument summariesmissing information flagsreview queuessource-cited Q&A

Predictive Intelligence

Use data science to forecast outcomes, detect anomalies, score risk, and identify patterns.

Outputs
forecastsanomaly alertsrisk scoressegmentationsrecommendations

Operations Intelligence

Turn logs, updates, meetings, and workflow data into visibility for managers and executives.

Outputs
action trackersissue summariesoperational briefsescalation listsdecision logs

Knowledge Intelligence

Build AI assistants over internal documents, policies, reports, SOPs, and knowledge bases.

Outputs
internal Q&Asource-cited answersknowledge retrievalteam copilotsworkflow support

AI Production Systems

Take AI prototypes into production with evaluation, monitoring, validation, and human review.

Outputs
evaluation frameworksmonitoring dashboardsgovernance workflowsreview controlsproduction handoff
Engagement Model

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

30 minutes
Free

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

1–2 weeks
Starting at $5,000

A structured audit to map workflows, assess data readiness, prioritize use cases, and define the first implementation sprint.

Deliverables
  • 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

4–8 weeks
Starting at $25,000

A focused build to design, prototype, validate, and deploy one AI/data workflow or decision system.

Examples
  • 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
Starting at $5,000/month

Ongoing AI/data support to maintain, improve, expand, and govern systems after implementation.

Includes
  • monitoring and optimization
  • prompt/model tuning
  • new use-case scoping
  • workflow improvements
  • evaluation and QA
  • data quality checks
  • leadership advisory
  • roadmap support
Where This Applies

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.

construction and project operationslogistics and supply chainlegal and case operationsinsurance and claimshealthcare administrationrecruiting and staffingmanufacturing and field operationsreal estate and property operationsprofessional services and advisory teamscompliance-heavy teams

Detariz does not replace domain experts. We build systems that help experts work faster, see more clearly, and make better decisions.

Principles

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.

P/01

Source-cited outputs

AI-generated summaries and answers should trace back to the original documents, reports, or data.

P/02

Human-in-the-loop review

Business users stay in control of final decisions, approvals, and outputs.

P/03

Evaluation and validation

Systems are tested against expected outputs, edge cases, and accuracy requirements.

P/04

Production-ready workflows

The goal is not a demo. The goal is a workflow that users can actually run.

Example DemoComing soon

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.

Demo coming soon
demo.detarizv0.1
Ingest → 24 sources
Extract → 312 entities
Summarize → 8 briefs
Cite → 100% traceable
About

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.