0Level
Connect your tools
Scripts and integrations that move data between the systems you already pay for. No AI involved.
Build effort
Running cost
Predictability
form → CRM → sheet → Slack
An AI-native services firm
AI workflows and custom software.AI agents only when needed.
We build the workflows, integrations and internal tools that take repetitive work off your team, and they keep running in production: tested, documented and in your accounts. We use the simplest thing that works and add AI only where it earns its place.
- Passes the agreed checks or you don't pay
- Your code, your accounts
- You approve what matters
lead-follow-up.flow
examplerunning
New lead arrives
Website form → CRM
Route and set timing
Rules: owner, region, 5-minute reply
Draft the first replyAI
1 AI step, written in your voice
Owner approves
One tap, from phone or inbox
Send and log
Email out, CRM updated
Autonomous agent
Not needed for this job
- AI steps
- 1
- Approvals
- 1
- Agents
- 0
Built to connect tools like these
- GoHighLevel
- HubSpot
- Gmail
- Google Sheets
- Slack
- Airtable
- Notion
- Stripe
- Supabase
- Postgres
- n8n
- Zapier
- OpenAI
- Anthropic
In production
An ongoing retainer, running now
We currently run lead flow, marketing and automation for a service business on an ongoing retainer. Client names stay private.
- Lead flow
- Marketing operations
- Workflow automation
What we build
Four kinds of work, one standard
Everything ships tested, documented and in your own accounts.
Level 1–2
AI workflows
Automations that take repetitive work off your team: intake, follow-up, sorting, reporting.
Built for you
Custom software
Internal tools, dashboards and portals built around how you actually work.
Level 0
Integrations
Your CRM, inbox and spreadsheets finally talking to each other.
Level 3
AI agents, when the job calls for one
For open-ended work a workflow can't cover. Every agent ships with guardrails.
- Limits on what it can touch
- Test cases it must pass before launch
- A log of every action it takes
- Your approval on anything risky
The approach
We climb only as high as the problem needs
Each level adds capability, and also cost and things that can break. We start at the bottom and earn every step up.
1Level
Rule-based workflows
Triggers, branches, retries and logs. Predictable, cheap to run, and easy to check.
Build effort
Running cost
Predictability
new lead → assign → remind at 24h
2Level
Workflows with an AI step
A model handles the one part that needs judgment: sorting, extracting, drafting. A person approves what matters.
Build effort
Running cost
Predictability
classify → draft → approve
3Only when needed
AI agents
Open-ended work across several tools, built with hard limits, test cases and a record of every action.
Build effort
Running cost
Predictability
research → decide → act
We aim to stop at level 1 or 2. That keeps a build cheaper to make, cheaper to run and easier to trust.
How to start
Start with one process.
Pick the process that eats the most of your team's time. We map it, build it, test it and hand it over running.
For teams whose work is spread across email, spreadsheets, a CRM and too many copy-pastes.
What you get
- 01
Process map
A scoping call where we trace the process step by step and decide how far up the ladder it needs to go.
- 02
The build
A workflow, integration or internal tool, using AI only for the steps that need judgment.
- 03
Agreed checks
Written tests the build must pass, decided together before work starts.
- 04
Handoff
Docs, a walkthrough and everything in your own accounts.
The guarantee
Passes the checks or you don't pay
Before we start, we write down what done looks like. If the build doesn't pass those checks, you don't pay for it.
The founder builds every project, so we take on a small number at a time.
Book a scoping callHow a project runs
From first call to handoff
- 01
Scope
A short call to map the problem and where it sits on the ladder.
You getA written problem map
- 02
Proposal
Scope, timeline and finish line in writing before any work starts.
You getA fixed scope
- 03
Build and test
Built against agreed checks, so done means it passed them.
You getChecks it must pass
- 04
Handoff
Docs, a walkthrough, and ongoing support if you want it.
You getYour repo, your logins
Who builds it
You talk to the person writing the code.
I'm Stone Evenson, founder of Evenson Systems. I build every project myself: no account managers, no handing your work to someone you've never met.
Our first client is a service business where we run lead flow, marketing and automation on an ongoing retainer. That work is running today.
Stone Evenson, founder
Why people trust the work
Built so you stay in control
You own it
Each client gets their own code repository, logins and documentation. Nothing you rely on is hidden on our side.
Done means tested
Every build ships with the checks it has to pass. You see them run before handoff.
People approve what matters
Anything that sends, spends or deletes can wait for a yes from someone on your team.
Plain-English updates
You hear what changed and why, without jargon or a wall of tickets.
Questions
The honest answers
Most AI projects fail because they hand a rules job to an unpredictable model. We build the rules part as plain, testable workflow and use AI only for the one step that needs judgment, with you approving what goes out.
Start here
Tell us what's eating your team's time.
Book a short call. We'll map the process and tell you straight whether it needs custom software, a workflow, an AI step, or nothing new at all.