Automate the busywork
arwen automate --inbox --docs --crm AI agents for intake, triage, data entry and reporting. Every step logged, anything risky waits for a person.
AI automation →ArwenDigital is a small engineering shop. We automate the busywork and build the first version of your product. You review it. We ship it.
$ mail arnold@arwen.digital Send a paragraph. Get back a scope.
Invoices come in by email. Get them into accounting without anyone retyping them.
Plan · 4 steps
1 watch the inbox for PDF invoices
2 extract vendor, amount, due date
3 match each one against open POs
4 draft the bill, a person approves
Write flows/invoice-intake.ts
Sample invoices parsed, totals match
1 invoice has no PO. Approve or reject?
Live. Checks the inbox every 5 minutes.
Booking app for my clinic. Patients pick a slot, staff confirm it.
Scope · version one
booking page, staff inbox, SMS reminder
payments, mobile app, reports → later
Create app/ · api/ · db/schema.sql
Booking flow tested end to end
Deploy staging
Try it on your phone. Ship it?
Shipped. Real patients are booking.
Our contractor left. The app half works. Nobody can deploy it.
Read repo · 6 years of history
Found: no tests, a broken deploy, dead features
3 features nobody uses
tests on the checkout path
one-command deploy + runbook
Deploy green on the first try
Keep or drop the old admin panel?
Stable. Your team can run it now.
Help our support team answer tickets faster. Nothing goes out unchecked.
Plan · draft, never auto-send
read ticket + account + help docs
draft a reply with sources attached
Write api/draft-reply.ts
Checked against past tickets, drafts on topic
Agent reviews draft → clicks Send
Live in the support inbox.
Most agencies sell design. We sell software that runs. Automations that clear the inbox. MVPs real users log into. Code your next hire can read.
AI does the grunt work: drafting, coding, testing. A senior engineer decides what ships. That's the whole model.
arwen automate --inbox --docs --crm AI agents for intake, triage, data entry and reporting. Every step logged, anything risky waits for a person.
AI automation →arwen build --mvp --scope v1 The smallest product that proves the idea. Real login, real data, real users, working software you can click.
MVP development →arwen rescue --repo ./legacy Half-built app or inherited code. We read it, cut it down and get the important part deployed.
Every project starts with one page: who it's for, the one job it does, and what we're not building yet.
You get a working link early, then a new increment every week. No big reveal at the end.
Example timeline. Real timelines get agreed per project.
AI writes drafts and code fast. People approve anything that touches money, customers or production.
Refund over limit · support-drafts
EditApproveMerge: checkout tests · clinic-booking
DiffApproveInvoice matched PO · invoice-intake
LoggedReadable code, a README and a runbook. Your team takes over, or we stay on for maintenance.
your-app/├── README.md # how to run it
├── RUNBOOK.md # what to do when it breaks
├── DECISIONS.md # what we cut and why
├── .env.example
├── src/
└── tests/ Products we've built. Client work is in the case studies.
Priced per scoped phase. You see the number before we start building.
Whatever fits and your team can maintain. Usually TypeScript, Python, Postgres, and the major LLM APIs. WordPress when it’s the right call.
AI speeds up drafting, coding and testing. An engineer reviews every change and owns every decision.
Ownership and licensing are agreed in writing per engagement, before work starts.
Yes. That’s most of our clients. A paragraph describing the problem is enough to start.
Describe the task or product. You get a straight answer on what to automate or build first.
arnold@arwen.digital