$1,500
AI Systems Audit
Before you invest in AI, identify the workflow most likely to pay for itself.
- Workflow and tool review
- Highest-ROI opportunity map
- Recommended first system
- DIY action plan
- $1,000 onboarding credit within 30 days
AI Systems Advisor
Practical AI systems for owner-led businesses.
I help business owners set up AI agents, dashboards, automations, and reporting systems they control, using infrastructure they own.
One useful workflow first We'll start with the recurring work most likely to pay for itself.
Systems you own I'll set it up but you own your data.
Senior technical judgment Clear guidance without hiring a full-time CTO.
The problem
Most businesses do not need an AI transformation. They need one or two business process upgrades.
The best starting point is usually a messy workflow: leads scattered across tools, manual reports, missed follow-ups, repeated admin work, or decisions made without the right data in front of you.
I help you identify the highest-leverage opportunity, build a practical first system, and understand how to keep extending it without turning your business into a science project.
Your AI system gets better as it learns from your workflow.
Services
Start narrow, prove value, then expand.
$3,500
Guided AI Onboarding
Set up the first useful AI system in your business with a senior technical partner.
- Guided setup of your AI agent
- Integration with your infrastructure
- Two 1-hour working calls
- One starter workflow, dashboard, report, or cron
$250/mo
Managed AI Infrastructure
Keep your AI environment updated, monitored, and backed up without becoming a sysadmin.
- Uptime monitoring
- Basic server and Hermes updates
- Backup checks
- Portable, client-owned setup
from $3,500/mo
AI Systems Advisor
Ongoing technology leadership for businesses improving multiple workflows over time.
- Monthly AI systems roadmap
- Workflow prioritization
- Architecture and vendor guidance
- Owner coaching and light implementation
Approach
Built around ownership, review, and measurable value.
01
Map the workflow
Find the repeated work costing time, attention, or revenue.
02
Build the smallest useful system
Connect the right tools and create one practical agent, report, dashboard, or scheduled job.
03
Keep the human in review
Design the system so important outputs can be checked before they affect customers or money.
04
Measure what changed
Track hours saved, manual steps removed, faster decisions, or follow-ups recovered.
Infrastructure
The system runs on accounts your business controls.
Most clients use their own OpenAI account and DigitalOcean droplet. I can set up and manage the environment for you, but you own the data and business systems.
That means you are not locked into a proprietary AI platform. If you later want to move the system in-house, change AI providers, or work with another technical partner, the handoff is straightforward.
Field Notes
Field notes from building practical AI systems.
For now this is a static preview. Once posts are written, this section can pull from the blog automatically.
AI build notes
What was built, what broke, and what became reusable.
Hermes tutorials
Walkthroughs for agents, tools, reports, dashboards, and crons.
Workflow teardowns
Before-and-after looks at real business operations.
Practical ROI
Plain-English ways to decide whether an AI system is worth building.
About Bill
I have spent my career turning business problems into useful systems.
I have been a freelance developer for more than 20 years, building practical tools and processes for clients and my own businesses. In 2020 I co-founded CultivateWP, an agency focused on high-performance publishing sites that has become a leader in its niche.
Long before AI agents, I was building systems to make work easier. In 2010 I built my own CRM to manage client inquiries, and I have spoken at conferences for years about improving freelance businesses, workflows, client management, and technical operations.
Like many early adopters, I started using ChatGPT as soon as it became available and experimented with local AI models. But AI agents changed what was possible. With OpenClaw and Hermes, I was finally able to integrate AI deeply into my businesses: connecting systems, automating recurring work, scheduling ongoing tasks, and improving both internal efficiency and client service.
After using agents to optimize my own business, I began helping friends and family bring the same ideas into theirs. This consulting practice is the next step: helping owner-led businesses adopt AI in a way that is practical, understandable, and owned by the business.
Start here
Bring one workflow that feels too manual, scattered, or dependent on memory.
I will help you decide whether AI is actually a good fit and what a useful first system should do.