Cloud spend keeps rising
Costs are growing, accountability is fragmented, and no one fully trusts the numbers behind the bill.
William Shane Burrell | Platform, Cloud & AI Delivery Advisor
Fix expensive, slow, or risky delivery systems
I help engineering leaders reduce cloud waste, modernize delivery platforms, and adopt AI-assisted development without sacrificing quality, security, or team trust.
Bring the platform, cloud, DevOps, or AI adoption problem you are trying to untangle. I help leaders find the real constraint, choose the right first move, and turn technical complexity into measurable business value.
Cloud Cost & Reliability
Platform Modernization
Practical AI Adoption
$14M
annual cloud savings
10x
delivery improvements
25+ yrs
executive and hands-on experience
Buyer Problems
When To Bring Me In
The best conversations start when the symptoms are visible, but the real constraint is still unclear.
Delivery feels slower than it should
Teams have more tooling, process, and headcount, but releases still drag and handoffs create friction.
Platform teams are not unblocking developers
Internal platforms exist, but application teams still fight pipelines, environments, observability, and unclear ownership.
AI adoption is happening without a system
Engineers are experimenting with coding agents and LLMs, but standards, quality practices, security boundaries, and measurement lag behind.
Leadership needs a technical reality check
Executives need a senior operator who can assess the architecture, delivery model, team dynamics, and business risk without getting lost in ceremony.
Consulting Offers
Ways To Work Together
Start with a focused advisory engagement that turns a vague platform, cloud, or AI concern into a practical path forward.
Primary Offer
Platform Modernization Assessment
Buyer problem
Your delivery platform exists, but teams still fight pipelines, environments, handoffs, and unclear ownership.
Practical output
A clear view of the real constraints, the highest-leverage fixes, and a practical modernization sequence your leaders can act on.
- Cloud, CI/CD, infrastructure, observability, and developer workflow review
- Platform team operating model and ownership assessment
- Prioritized recommendations tied to delivery speed, reliability, and business risk
Why this fits
Built platform teams and led modernization work that produced 10x deployment velocity improvements.
Primary Offer
AI Engineering Adoption Program
Buyer problem
AI coding tools are spreading through engineering, but standards, training, quality practices, security boundaries, and measurement are unclear.
Practical output
A disciplined adoption model that helps teams use AI to improve delivery without turning code quality, security, or trust into an afterthought.
- Tooling and workflow assessment across engineering teams
- Usage standards for context, review, testing, security, and data handling
- Training approach and measurement plan for real productivity impact
Why this fits
Piloted AI agents across engineering and architecture teams with measured 10x feature completion improvements.
Primary Offer
Cloud Cost And Reliability Review
Buyer problem
Cloud spend is rising, reliability risk is hard to explain, and the organization needs a clearer relationship between cost, architecture, and ownership.
Practical output
A grounded assessment of waste, migration options, operational risk, and the changes most likely to improve both cost and confidence.
- Cloud architecture, workload, cost, and vendor review
- Reliability, observability, and operational ownership assessment
- Savings and risk-reduction opportunities ranked by impact and effort
Why this fits
Led platform migration work that delivered $14M in annual cost savings with zero business impact.
Situational Offer
Fractional Engineering Leadership
Temporary senior leadership for platform, DevOps, architecture, modernization, or AI adoption initiatives when you need executive judgment without adding permanent headcount.
Situational Offer
Technical Strategy Due Diligence
Independent assessment of engineering organizations, platforms, delivery risks, modernization needs, and technical leverage for executives or investors.
Evidence
Proof That Connects To Advisory Work
Past outcomes are not here as resume bullets. They show the kind of diagnostic and execution judgment I bring to platform, cloud, and AI advisory work.
Multi-Cloud to AWS Platform Migration
$14M Annual Cost Savings
Zero Business Impact
Problem
Enterprise workloads were spread across multiple cloud providers, creating avoidable cost, operational drag, and migration risk.
Outcome
Delivered $14M in annual cost savings while maintaining availability and avoiding business disruption.
Consulting relevance
Useful when cloud spend, platform ownership, and migration risk need to be turned into a practical modernization path.
Cloud & IoT Revenue Enablement
New Revenue Streams
Business Transformation
Problem
A traditional hardware product line needed software-driven value to compete in newer markets.
Outcome
Created a new high-margin software revenue stream and helped shift the portfolio toward cloud-enabled products.
Consulting relevance
Useful when leaders need to connect architecture, product strategy, and software-enabled business models.
High-Performing Team Development
20+ Engineers
Culture & Excellence
Problem
Growing engineering organizations needed stronger execution systems, clearer standards, and leaders who could scale with the team.
Outcome
Improved execution quality while developing technical leaders and future managers.
Consulting relevance
Useful when delivery problems are really leadership, operating model, and accountability problems.
AI Agent Adoption & Engineering Acceleration
10x Efficiency Gain
Innovation Leadership
Problem
Engineering teams needed practical AI adoption that improved delivery without lowering quality or creating unmanaged risk.
Outcome
Achieved a measurable 10x improvement in feature completion time while keeping quality and security standards visible.
Consulting relevance
Useful when AI coding tools are spreading faster than governance, training, and measurement.
DevOps & Platform Transformation
10x Deployment Velocity
Operational Excellence
Problem
Traditional operations and slow release cycles were limiting delivery speed, feedback, and developer productivity.
Outcome
Moved delivery from slow, batch-oriented releases toward continuous flow with 10x deployment velocity improvement.
Consulting relevance
Useful when platform teams, DevOps practices, and release systems are not creating the flow leaders expected.
Still Building
Builder Credibility
Products I have built and launched, showing that my advisory work stays connected to current shipping reality.
Live
$9 - $79/mo
MetaScrape
URL metadata extraction API for developers
API
SaaS
Go + PostgreSQL
api.shanecode.org
View ProductIndependent Product
Alpha
Free - $120/mo
QuikGit
Modern cloud-native Git hosting platform
Git Hosting
CI/CD
Teams & RBAC
quikgit.com
View Product
Live
$49 - $149
SvelteUI Pro
Premium Svelte 5 component library with Tailwind CSS
30+ Components
Svelte 5 Runes
Tailwind CSS 4
ui.shanecode.org
View Product
Live
$49 - $149
SvelteShip
Production-ready SaaS starter template
SaaS Boilerplate
Auth + Payments
Deploy in Minutes
ship.shanecode.org
View Product
Live
Free
JSON Swiss Knife
Free developer tools suite -- JSON, regex, UUID, and more
9 Tools
Free
Developer Utility Platform
tools.shanecode.org
View Product5 Products. 5 Published Apps.
Hands-on product work keeps the advisory perspective grounded in current implementation reality.
View All AppsHands-On Builder Proof
Apps built from concept to store release, keeping the advisory perspective grounded in real implementation work.
Selected Insights
Leadership perspectives and technical judgment behind the advisory work.
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Mar 8, 2026
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From Concept to Cloud: Building Enterprise Software at AI Speed
How AI-augmented development with expert leadership enabled building a cloud-native Git platform with enterprise features in record time.
Feb 3, 2026
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The AI Workflow Revolution: Why Cursor and Claude Are Changing Everything
Five hard-won insights on integrating AI tools into development workflows. Why adoption is binary, why fundamentals still matter, and why nobody will be competitive without AI.
Dec 12, 2025
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Useful First Step
Talk through the platform, cloud, or AI adoption problem you are trying to untangle.
Bring the constraint, the urgency, and the outcome you need. I will help frame what is likely worth investigating first and whether an assessment or advisory engagement makes sense.
Past work includes $14M annual cloud savings, 10x delivery improvements, and AI-assisted engineering adoption across real teams.