Start with the business
Find the workflow worth fixing
Define the decision, bottleneck, owner, and measurable outcome before choosing a model or buying another tool.
AI + automation implementation for real businesses
I build AI into the way your business actually runs.
I’m Hunter Sneed. I’m the founder of Workflowsy, where I lead AI and automation implementations around real business workflows. I also created Getting Automated to teach companies how to use this technology without getting buried in hype.
Hunter Sneed
Founder, Workflowsy · Creator, Getting Automated
Where I work
Business
problem Technical
system Operating
result
problem Technical
system Operating
result
- 10+ years
- building production systems
- 500+
- clients served
- Fortune 500
- and regulated environments
- Builder-led
- strategy through implementation
My point of view
The model is rarely the hard part.
Businesses do not need more disconnected AI experiments. They need someone who can understand the operation, identify where AI creates leverage, and build the technical foundation that makes the result trustworthy.
That is the gap I specialize in: translating business reality into production systems—without losing the technical depth required to make them work.
Build the foundation
Connect the data and systems
APIs, data pipelines, source-of-truth rules, permissions, and integrations make the output accurate and repeatable.
Make it operational
Put AI inside a reliable workflow
Use AI where judgment helps, deterministic software where consistency matters, and human review where the risk demands it.
One expertise, two ways to engage
I build it through Workflowsy. I teach it through Getting Automated.
Implementation services
Workflowsy
My implementation firm for businesses that need AI, data, and automation built into an actual operating workflow—not left in a strategy deck.
See implementation services Education, guides, and tools
Getting Automated
The educational brand where I break down the same problems in plain English, share practical resources, and show businesses what useful AI actually requires.
Explore the resourcesWhat the work looks like
Business problems, built into systems.
01
Trusted reporting and AI analysis
Aggregate fragmented business data, define the metric once, and give teams reliable reports plus grounded AI answers.
Data pipelinesSource of truthAI analysis
02
AI-assisted operational workflows
Turn inboxes, documents, approvals, and exception queues into systems that route work and keep people in control.
Workflow designHuman reviewAudit trails
03
Production automation that stays running
Replace manual handoffs with connected systems, scheduled jobs, monitoring, and clear failure paths—not another fragile demo.
APIsAutomationObservability
Shipping receipts
Not the only proof, but it’s a good start.
Live public signals from the code I ship and the practical AI work I publish.
GitHub · live activity
GitHub contributions
—
last 12 months
Less More
Getting Automated
I make AI + automation content because too much of what’s out there is either hype or tutorial sludge. Practical breakdowns, real use cases, minimal nonsense.
YouTube
Hunter Sneed
AI tools, automation workflows, and making technology actually useful.
Subscribers
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Views
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Videos
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A few things I believe
Expertise should come with a point of view.
These are not slogans. They are constraints I use when deciding what is worth building.
- 01
AI is an interface—not a data strategy.
- 02
You probably should not use an AI agent for that.
- 03
Automation should delete work, not move it around.
- 04
If a critical data flow breaks, it should fail loudly.
Start with the workflow—not the tool