I analyze how your business actually runs, then engineer AI into the systems you already own, cutting hours of staff work instead of adding another chatbot. Fixed price, working in weeks, maintained for a flat monthly fee.
Attorneys draft matter notes and documents with AI inside the case-management platform they already use. Hours of writing became minutes of review.
Every client call is automatically transcribed and turned into a structured intake record with flagged follow-ups. No one retypes anything, and nothing falls through the cracks.
An internal assistant answers staff questions from the company's own procedures and documents, in Microsoft Teams, with citations to the source so answers are checkable.
No hype, no tool-of-the-week. The engagement is built to find where your staff-hours actually go, and only then decide whether AI earns its keep.
15 minutes, free. You tell me where the tedious work is. I tell you honestly whether AI can take it.
I map how work actually moves through your business (phones, email, documents, your line-of-business software) and find where the hours go. Free, and the written, ROI-ranked roadmap is yours to keep whether or not we build.
A written scope with one number on it. Most projects deliver in 2–4 weeks, engineered into the systems you already own.
A flat monthly care plan keeps the automation monitored, updated, and improving. Cancel anytime.
Every engagement starts with analysis and ends with AI integrated where it measurably removes staff-hours. If the numbers don't justify a build, the roadmap says so and we stop there.
The core service: for law firms, insurance agencies, medical and dental offices, accountants, property managers, and anyone else drowning in intake and paperwork.
Design, build, and hosting for professional-services sites, plus AI-era upgrades like intake forms that pre-qualify leads automatically. Builds $1,500–6,000, maintained from $50/mo.
Automation should be treated like infrastructure. Flat monthly plans keep everything monitored, updated, and improving:
You shouldn't have to sit through a sales call to learn what things cost.
| Engagement | Typical range | What it looks like |
|---|---|---|
| Initial assessment & quote | Free | Systems analysis + a written, ROI-ranked automation roadmap with fixed-price quotes, yours to keep |
| Starter automation | $2,000–$4,000 | One workflow automated end-to-end: call intake, document summarization, email triage |
| Core integration | $5,000–$10,000 | AI working inside your practice-management, CRM, or ticketing system |
| Full build | $10,000–$20,000 | Multi-system integration or a custom internal app, training included |
| Websites | $1,500–$6,000 | New builds and redesigns, maintained from $50/mo |
| Care plans | $50–$500/mo | Monitoring, updates, fixes, monthly report |
Every project starts with a written fixed-price quote. If I don't think AI will pay for itself in your case, I'll say so on the fit call, and the roadmap will say so in writing.
Yes, and this is the first question every law firm asks. Your data stays in your systems. AI processing runs through enterprise APIs that don't train on your data, and I'll put that in writing in the agreement.
That's the typical client. You never touch the AI; it works inside the tools your staff already uses. If your team can answer a phone and read an email, they can use everything I build.
Nothing against it, but a chatbot in a browser tab doesn't know your clients, your files, or your systems, and it only works when staff remember to use it. What I build is architectural: AI integrated into your phone system, your document flow, your practice software, so the work happens automatically, every time. That difference is measured in staff-hours, and it's why this pays for itself.
Care-plan clients get monitoring and fixes included; that's the point of the monthly fee. I'm in your timezone and reachable. Automation is infrastructure, and I treat it that way.
I've spent my career in hands-on IT and managed services for small businesses: the person who actually fixes the thing, not the one who sells it and disappears. That background is why I start with your systems instead of a sales pitch: I've seen what happens when technology gets bolted on without understanding how a business actually operates.
Now I apply that same discipline to AI: practical, architectural builds that pay for themselves in staff-hours, running inside the systems you already own, and maintained like infrastructure should be.
The fit call and the initial assessment are free, and honest: if AI won't pay for itself in your case, the roadmap will say so and save us both the time.
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