01
AI Audit
The starting point. I map how your business actually runs, score every AI opportunity on value against effort, and hand you a prioritised roadmap with the numbers behind it.
The starting point →AI that pays
for itself.
Hey, I'm Sam. I help small and mid-sized businesses work out where AI is actually worth the money, then I build it.
20+ hrs/week handed back to teams like yours
Trusted by teams who'd rather ship than speculate
Artemis CM
Bear Claw Land.
JT Evolutions
Why most AI spending disappears
The problem was never the technology.
- 01A tool bought because a competitor mentioned it, not because anyone defined the problem
- 02A pilot that impressed everyone in the demo and never reached production
- 03Staff quietly pasting company data into chatbots, with no guardrails and no oversight
- 04An AI strategy deck with nothing shipped behind it, and no way to measure whether it worked
What I do
Audit first.
All services →
Audit first.
Then build
what survives.
02
AI Strategy & Roadmap
A phased plan you can actually fund: what to build first, what it costs, what it returns, and what to deliberately leave alone until the basics are in place.
A plan you can fund →03
AI Agents & Assistants
Agents that read, draft, decide, and act inside your real systems, with guardrails on what they touch and a human in the loop where it matters.
Work that runs itself →04
Workflow Automation
Not everything needs a model. Intake, invoicing, onboarding, and reporting often just need wiring, and that's the cheapest return in the building.
Hours reclaimed →05
AI Voice & Messaging
Voice agents that answer every call and book the appointment, plus instant text-back on missed calls and web leads, so nothing goes to voicemail.
Always answered →06
Custom AI Development
When nothing off the shelf fits: document and email processing, internal copilots that answer staff questions, extraction, triage, and drafting built around how you work.
Built for you →07
Integration & Data Readiness
AI is only as good as what it can reach. I connect your CRM, email, calendar, and forms, and get the underlying data into a state that's worth building on.
The unglamorous part →
How I work
Evidence first. Build second.
STEP 01
Audit
I map how the work really moves, follow the data, and find where AI has a genuine edge over just fixing the process.
STEP 02
Roadmap
Every opportunity scored on value and effort, with costs, returns, and risks attached, so you can decide what to fund.
STEP 03
Build
I ship phase one against your real workflows, with guardrails, monitoring, and a human in the loop wherever the stakes justify it.
STEP 04
Scale
Measure what it actually returned, tune what drifted, then move to the next phase. Nothing expands until it's proven.
The payoff
Numbers clients actually feel.
// figures based on typical engagements
0+
Hours saved per week
across an average ops team
<0s
Lead response time
down from hours, fully automated
0%
Fewer manual errors
on automated workflows
Sam Darcy
Software Engineer & AI Consultant
Sandwich, MA · Working across the US
Who you'll be working with
Engineer first.
Engineer first.
Consultant second.
I'm a software engineer who moved into AI, not a consultant who learned to write prompts. I've built production systems from the ground up. I read code, I write code, and I can tell you why an architecture will buckle before you've paid to find out.
That matters more than it sounds, because an AI system is a software system. The model is one component. What actually breaks is everything around it: how data gets in and whether it's clean, what the thing is allowed to touch, what happens on a timeout or a bad response, how you measure whether the output was right, and what it costs once it's running at real volume. Those are engineering problems, and they're where most AI projects quietly die.
You also get me for the whole engagement. The person who understood your business in week one is the same person shipping code in week six, so nothing gets handed to a junior team and re-explained. And I'll tell you when AI isn't the answer at all, because plenty of what gets pitched as an AI problem is really a process or data problem wearing a costume, and those are cheaper and faster to fix.
- Software engineer by trade
- Production systems, not demos
- Independent, no vendor kickbacks
- Fixed-fee audits, no hourly billing
- You keep the roadmap
- NDA-friendly · remote across the US
Selected work
View full portfolio →
Shipped, not piloted.
Construction Management
1000shours saved every year
I automated job-status tracking and piped Autodesk Construction Cloud and Procore data into clean Power BI reporting.
Artemis Construction Management →
Land Services
24/7hands-off lead capture
I connected Jobber and GoHighLevel through Zapier and Make so no inbound lead slips through the cracks, day or night.
Bear Claw Land Services →
Field Services · Farriers
CustomCRM, built from scratch
A multi-tenant system for farriers, giving each their own workspace for calendars, barns, horses, and clients.
JT Evolutions →
WHAT CLIENTS SAY
★★★★★
"Sam delivered a critical automation bridging two complex platforms. The final result is robust, reliable, and exactly what we needed to streamline our operations."
Monique Davis-DeRobertisOwner, Artemis Construction Management★★★★★
"Sam is a true ROCKSTAR! A fast problem solver who communicates very well. He automated our inbound lead process. Highly recommend, 5 stars across the board!"
Austin GrayOwner, Bear Claw Land Services★★★★★
"Sam got my project done in record time. His communication throughout the whole process was amazing, and the final result exactly what I had hoped for."
Tyler CookeOwner, Adobe MediaFind out what's
actually worth it.
A free 30-minute call. Tell me what's going on in your business and I'll give you a straight read on where AI would pay, and where it wouldn't.