What I do

Three areas of focus.

Each pillar addresses a distinct class of technical problem. Work often spans multiple pillars, but every engagement starts with a clear primary focus.

Technical clarity before you waste capital on a rebuild.

Best for

Teams facing an expensive rebuild, migration, or infrastructure change that need an independent technical view first.

The problem

Systems slow down, outages become frequent, and teams spend more time putting out fires than shipping features. You need an independent view of what is actually broken and what to fix first.

What I deliver

  • Prioritized, evidence-based findings you can act on
  • A practical roadmap that separates diagnosis from implementation
  • Clear infrastructure and hosting trade-offs for your actual system

Includes

  • System audits and technical due diligence
  • Cloud infrastructure and delivery
  • From findings to a practical roadmap
  • Ongoing technical direction
See scope and fit

Connect systems cleanly so data moves reliably without manual effort.

Best for

Organizations whose systems do not exchange data cleanly, or whose teams repeat manual work across disconnected tools.

The problem

Disjointed software tools, fragile custom scripts, and broken API syncs force teams into manual data entry and silent operational failures. You need integrations that stay reliable as systems change.

What I deliver

  • Explicit data contracts and authentication between systems
  • Reliable workflows with observable triggers, exceptions, and approvals
  • Maintainable websites, commerce, and marketing systems that integrate cleanly

Includes

  • API integrations and system connections
  • Workflow automation
  • Data collection and pipelines
  • Websites and content systems
  • Commerce systems
  • Marketing technology and tracking
See scope and fit

Turn unstructured data into practical, automated internal tools.

Best for

Teams turning unstructured information into practical internal tools, with measurement, privacy boundaries, evaluation, and maintainability in mind.

The problem

Important business data is trapped in documents, spreadsheets, and disconnected platforms, while standard AI tools fail in production environments. You need AI systems connected to your actual workflows with clear evaluation and maintenance.

What I deliver

  • Workflows built around a defined task, source material, and review boundary
  • Retrieval, evaluation, and guardrails designed together
  • A measurement layer that shows whether the workflow is useful

Includes

  • AI-assisted workflows
  • Retrieval, evaluation, and guardrails
  • Analytics and measurement
  • Deployment and maintainability
See scope and fit

How we work

Engagement models.

Three ways to work together, from a focused diagnostic to ongoing strategic guidance.

4–12 weeks

Targeted System Modernization

Project-based execution: redesigned integration architecture, automated workflow pipelines, or AI implementation.

Start the conversation 

Monthly retainer

Fractional Technical Direction

Ongoing advisory: recurring architectural reviews, senior oversight, and strategic technology decisions.

Start the conversation 

How to choose

Start with the bottleneck, not the category name.

These entry lanes keep the focus on the problem you are actually hitting. Choose the pillar closest to the current bottleneck; work often spans more than one.

Architecture & System Strategy

Start here when slow delivery, fragile infrastructure, unclear ownership, or hidden technical risk is holding the business back.

See scope and fit

Integrations & Workflow Automation

Use this path when the problem crosses APIs, tools, teams, or repeated operations and needs cleaner orchestration.

See scope and fit

Data & Applied AI Workflows

Use this lens when internal knowledge, public data, or AI workflows need to become reliable operational systems.

See scope and fit

Need help choosing?

Send the current context, stack, and constraint. I can usually narrow the right first move quickly.

If the issue spans architecture, delivery, automation, AI, data, integrations, or infrastructure, the best start is usually a review, implementation sprint, or smaller scoping pass with clear constraints on the table.

Architecture & System Strategy

Prioritized, evidence-based findings you can act on

Integrations & Workflow Automation

Explicit data contracts and authentication between systems

Data & Applied AI Workflows

Workflows built around a defined task, source material, and review boundary