Cut Azure waste and automate one painful workflow.
I help Azure-based teams reduce cloud spend, remove repetitive manual work, and ship production-ready AI agents. Fixed-scope. Async-only. Zero meetings.
EU AI Act high-risk enforcement begins August 2, 2026. Teams running AI on Azure need governance controls before then.
20-45%
Azure spend cut
Benchmarked across audits
2-4 wk
First pilot shipped
AI agent to production
30+
Systems delivered
Production-grade
Certified
Cloud Architect
Microsoft Azure, 2024
How It Works
Three steps. Zero meetings.
01
Snapshot
Share your Azure export or describe the workflow bottleneck. You get a baseline report in 48 hours. Free.
02
Prioritize
I send back a focused recommendation with the biggest wins, likely impact, and a fixed-scope implementation path.
03
Ship
Async delivery in 1-4 weeks. You get the implementation, a runbook, dashboards, and a follow-up review.
Prefer to talk first? Book a 20-min Google Meet
What You Get
Fixed scope. Clear deliverables. No retainers.
Free Azure Snapshot
$0
48 hours
A fast analysis of your Azure spend, workflow friction, or automation opportunity. No credentials required. No meeting needed.
- ✓Identifies idle resources and spend waste
- ✓Surfaces the highest-ROI automation target
- ✓Includes a prioritized recommendation
Implementation Sprint
$2,000-$5,000
1-4 weeks
A fixed-scope sprint to remove one bottleneck: cut Azure waste, automate a workflow, or ship an AI agent. Ships with AgentGuard cost controls built in.
- ✓Fixed scope, fixed price, async delivery
- ✓Production deployment with runbook
- ✓AgentGuard runtime budget enforcement included
Async Azure Audit
$500
5 business days
A written audit of your Azure environment -- cost waste, reliability risks, and governance gaps. Delivered async with a prioritized fix list.
- ✓Cost waste, idle resources, sizing issues identified
- ✓Governance and compliance gap analysis
- ✓Prioritized implementation roadmap with ROI
Proof
What a sprint looks like
AgentGuard -- AI Agent Cost Control
agentguard47.comProblem
AI agents running overnight experiments were burning through API budgets with no visibility or enforcement. A single runaway loop could consume an entire month's budget in hours.
What Changed
Built AgentGuard -- an open-source Python SDK that enforces hard budget, token, time, and rate limits on any AI agent at runtime. Integrated an MCP server so agents can query their own operational metrics in real time.
Stack
Python, MCP protocol, PyPI, Claude/GPT APIs
Timeline
Ongoing (245 commits, 6 releases)
Outcome
Now bundled into every client AI agent deliverable. pip install agentguard47. Zero runaway cost incidents since deployment. Used as the cost control layer for the autonomous ML research agent (100+ experiments, 25% model improvement).
FAQ
Common questions
Patrick Hughes
AI & Azure Engineer
Nashville, TN
Microsoft Certified Cloud Architect (Azure Solutions Architect Expert, 2024). I build AI agents, optimize Azure infrastructure, and automate workflows for teams that want results without meetings.
Ready to find out where your Azure spend leaks?
Free snapshot. No credentials. Results in 48 hours. No meetings required. No bloated consulting process. Just a focused review and a clear next move.