There's no shortage of people willing to tell you what AI could do for your business. The gap is in people willing to actually build it. To sit in your office, understand your workflows, choose the right tools, connect them to your systems, train your team, and stick around when something breaks.
That's what implementation means. And that's what I do.
I'm Dawson Schrader. I run a fractional CFO firm called 1610 Advisory. I'm head of finance at a construction company. I've built production AI systems that run real businesses right now. When I say "implementation," I mean I've written the code, managed the rollout, and fixed the things that went wrong at 9pm on a Tuesday.
How implementation works
Discovery
I walk your operations with you. What tools do you use? Where does time go? What decisions get made on gut feel that should be made on data? We find the 2-3 highest-leverage spots for AI.
Architecture
We select specific tools, map data flows, and plan the integration points. You approve the approach before a single line of code gets written. No surprises.
Build and integrate
The actual implementation. AI tools connected to your existing systems. Automations built. Workflows tested with real data. Your team involved from day one so nothing feels foreign when it goes live.
Support and iteration
AI isn't set-it-and-forget-it. Monthly reviews to see what's working, what's drifted, and what to adjust. The tools get better as your team uses them.
What separates implementation from advice
Typical AI Consulting
- Strategy presentation
- Tool recommendations
- "Your team can take it from here"
- Quarterly check-in calls
- Billing by the slide
What We Do
- Hands-on build
- Tools selected, configured, integrated
- We train your team alongside
- Monthly working sessions
- Billing by the outcome
I built the proof myself
The AI CMO is an open-source system I created that manages content strategy, performance analytics, SEO, and multi-client operations using AI. It runs in production. Multiple businesses depend on it every day.
I open-sourced the AI CMO because I think the best way to earn trust around AI implementation is transparency. If you want to see how I build, the code is public.
Ready to move past the strategy phase?
If you've been talking about AI for months and nothing's running yet, let's fix that. 30 minutes to scope what an implementation would look like for your business.