Four Pillars of Operational Infrastructure

Systems that multiply operational capacity. Stop guessing. Eliminate manual work. Scale without hiring.

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Data Systems

Clean pipelines, unified sources, and structured warehouses. The foundation for everything that follows.

Unified Data Warehouse

Connect all your data sources (CRM, ads, analytics, product) into one centralized warehouse. Snowflake, BigQuery, or Redshift. No more data silos.

ETL Pipelines

Automated data pipelines using Fivetran, Airbyte, or custom connectors. Fresh data, reliable sync schedules, zero manual exports.

Data Transformations (dbt)

Clean, model, and transform raw data into business logic. Reusable models, version control, and data quality tests built in.

Attribution & Causality

Know what actually works. Multi-touch attribution, incrementality testing, and causal inference models.

Multi-Touch Attribution Models

Understand the full customer journey. First-touch, last-touch, linear, time-decay, and custom algorithmic models. See which channels drive revenue.

Incrementality Testing

Geo-tests, holdout experiments, and synthetic controls to measure true incremental lift. Not correlation—causation.

Marketing Mix Modeling (MMM)

Statistical models that quantify the impact of each marketing channel on revenue. Optimize budget allocation across channels with confidence.

Automation Layers

Eliminate repetitive work. Workflow automation, API integrations, and intelligent routing systems.

Workflow Automation

Zapier, Make, or custom workflows to automate repetitive tasks. Data entry, report generation, notifications, and cross-tool syncing—all automatic.

API Integrations

Connect your tools together. CRM to email, ads to analytics, billing to Slack. Real-time data flow between systems without manual exports.

Intelligent Routing

Route leads, support tickets, and tasks to the right person or team automatically based on rules, ML models, or LLM classification.

Agents

AI that works for you. Autonomous systems for research, analysis, reporting, and decision support.

Research Agents

Autonomous agents that research competitors, market trends, or customer feedback. They gather, synthesize, and summarize information on demand.

Reporting Agents

Automated report generation with LLMs. Weekly metrics summaries, performance anomaly detection, and natural language insights from your data.

Decision Support Agents

AI assistants that help with strategic decisions. Budget allocation recommendations, customer segmentation analysis, and predictive modeling.

Why These Systems Matter

The alternative is guessing, manual work, and linear scaling

10x

Output Multiplier

One operator does the work of ten through attribution, automation, and agents

60%

Less Manual Work

Free 40+ hours per week for strategic work instead of firefighting

3-6mo

ROI Timeline

Systems pay for themselves quickly and compound in value over time

Ready to Build Better Infrastructure?

Most engagements start with one system and expand from there. Book a free diagnostic to identify your highest-leverage opportunities.