Just Ask Porter

Practical AI advice for busy leaders & builders

Turn “AI curiosity” into repeatable wins.

Architecture-minded, hands-on guidance across strategy, governance, and delivery — from Copilot adoption to workflow automation to production-grade integration patterns.

See how I help Browse resources
AI Enablement Azure + Integration Retail Ops Automation Governance

Ask a question

Get a structured answer back — fast.

This doesn’t submit anywhere. It helps you pre-fill a note for the contact page.

Fast clarity

Cut through hype with decision-ready guidance and real tradeoffs.

Architecture-first

Patterns that scale: security, cost, data, and operational reality.

Hands-on

Prototypes, automation, and docs your team can actually use.

What you can get from this site

Simple, practical guidance packaged in formats that work in real orgs.

AI Operating Model

Lightweight governance: usage tiers, approvals, data rules, and “what good looks like.”

  • Policy & guardrails
  • Intake & prioritization
  • Measure outcomes

Reference Architectures

Battle-tested patterns for API, eventing, and workflow automation with Azure.

  • APIM + Service Bus patterns
  • Observability & cost controls
  • Security & identity basics

Enablement Kits

Templates, prompts, and playbooks to unlock adoption without chaos.

  • Leader-ready briefings
  • Team training plans
  • Prompt packs

Want a tight, executive-ready AI brief?

Use the “Brief Builder” on the Resources page to generate a clean outline.

Open Brief Builder

Typical questions I help answer

Pick one and adapt it to your environment.

How do we adopt AI safely without slowing delivery?

Define tiers of AI usage, set data classification rules, establish a review path for high-risk use cases, and track outcomes. Keep the default path simple.

Should we start with Copilot, custom apps, or automation?

Start where friction is highest. Copilot for daily productivity, automation for repeatable processes, custom apps for differentiated workflows. Run a short pilot in each lane and compare impact.

What’s a sane architecture for AI-powered integrations in Azure?

Use API Management for control, async via Service Bus for resiliency, workflow orchestration with Logic Apps where appropriate, and strong observability + cost reporting from day one.

Get in touch

Tell me what you’re trying to accomplish and what constraints you have.

Best way to start

  1. Describe the problem in 5–10 lines.
  2. Share your stack & constraints (security, timeline, budget).
  3. Clarify your desired outcome (decision, prototype, roadmap, etc.).
Talk to Porter

What you’ll get back

  • A clear plan with options and tradeoffs
  • Templates you can re-use
  • Architecture diagrams and integration patterns (when needed)
  • Practical next steps for your team

This site is static HTML and runs on any basic Apache web server.