// AI systems for B2B SaaS teams
Turn your manual SaaS workflows into AI-run systems you can watch on a dashboard.
CodeChang is the technical operator who automates the busywork, connects your stack, and puts AI to work on the parts that don’t need a human — then makes it all measurable. You get a running system, not another tool to babysit.
30–45 min. You leave with a one-page systems plan. Credited if we build together.
$ codechang build --system
▸inputyour manual SaaS workflow
▸compileautomate · connect · add AI
✓workflowruns on autopilot
✓stacktools talk to each other
✓agentshandling the busywork
# measured live on your dashboard
// the problem
The work is getting done. By hand. In a dozen tabs.
You shipped real software. But the operation around it still runs on copy-paste, spreadsheet glue, and “someone will get to it.” The cost isn’t one big thing — it’s four quiet ones.
manual workflows
The same onboarding, reporting, and follow-up steps get done by hand every week — by people who should be building product.
disconnected tools
Your CRM, billing, analytics, and docs don't talk. Data gets re-typed between tabs, and nothing reconciles.
untapped AI
You know agents and LLMs could absorb the busywork, but wiring them in safely keeps losing to the roadmap.
no visibility
Work is scattered across a dozen tools, so no one can actually see what's running, what's stuck, or what it's saving.
The gap was never ambition. The gap is a system that runs the operation without your team in the loop for every step — and a dashboard that proves it’s working.
// what we build
Four ways to take work off your team.
Most engagements use two or three of these together. Content used to be the whole pitch — now it’s one capability inside a bigger system.
Workflow automation
We map a repetitive process and rebuild it as a pipeline that runs itself — triggers, steps, retries, the lot.
API & integrations
We connect your CRM, billing, analytics, and data so they share one source of truth instead of fighting over it.
AI leverage
We put agents and LLMs on the busywork — drafting, classifying, summarizing, routing — with a human kept in the loop.
Content systems
The original CodeChang offer, now one pillar: a system that turns a founder's thinking into a week of content.
// the dashboards
If we can’t put it on a dashboard, we didn’t finish.
Every system we build reports on itself — so you can see what’s running, what it’s saving, and where a human still steps in. Four of the views we build, one per capability.
// illustrative demo dashboards — sample numbers, not real client data
// how it works
A system, built and shipped like software.
Discovery ($75)
A 30–45 min call where I find where your team is losing hours and what AI can actually take over. You leave with a one-page systems plan — yours to keep, whether or not we build together.
Map & diagnose
I trace your real workflow end to end — every tool, hand-off, and manual step — and scope the smallest system that removes the most work, with the dashboard we'll judge it by.
Build the system
Done-with-you over ~2–3 weeks: I automate the workflow, wire the integrations, add AI where it's safe, and we run real cycles together so it holds up on live data.
Run & measure
It goes live on a dashboard that reports on itself. I hand off the SOPs for your team, or co-run it on a retainer. Either way, the numbers stay visible.
// the approach
Systems that run like software. Not vibes, not headcount.
I'm an engineer, not an agency. I build systems, not decks — scoped, repeatable, and judged on whether they actually remove work and show up on the dashboard.
AI handles the volume; humans keep the judgment. Agents take the repetitive, high-volume tasks, and a person stays in the loop wherever a wrong call would cost you. For a technical buyer, that's not a compromise — it's the only way to trust the output.
You don't get a folder of files. You get a running system, the dashboard that proves it works, and the SOPs to keep it running — with or without me.
// the work
The content the system can produce.
When content is part of the build, it ships in two formats: product-led pages that make your software the story, and founder UGC that makes you the face. The product pieces below are live — click through.
// product pages are live demo builds · UGC clips are illustrative samples — real client work replaces these at launch
// pricing
Start small. Scale into the build.
AI Systems Audit
$75
The $75 discovery call: a real diagnosis of where AI can take work off your team, plus a one-page systems plan you can act on alone. Credited toward a build.
AI Systems Engine
Core offerfrom $3,000
Done-with-you build over ~2–3 weeks: workflow automation, integrations, AI where it's safe, and the dashboard to measure it. Content included when it's in scope. Founding rate available — see below.
Operator Retainer
from $1,500/mo
I co-run and evolve your systems month over month — new automations, tuning, and keeping the dashboard honest.
Ad-hoc support
$175/hr
For teams who self-run and want occasional expert hands on a tricky integration or agent.
// what teams say
Teams that stopped doing it by hand.
Illustrative samples — replaced with real client results at launch.
Our lead intake used to be a person copy-pasting between four tools. Now it's a pipeline that enriches, scores, and routes on its own — and I can see every run on the dashboard.
Maya Ellison
Co-founder & CEO, Northwind Labs
The integrations alone paid for the build. Our CRM, billing, and analytics finally agree on the same numbers — no more reconciling spreadsheets on a Friday.
Daniel Roy
Founder, Atlas Cloud
I was wary of handing real work to an agent. CodeChang built it so AI takes the volume and a human reviews anything low-confidence — I can actually trust the output.
Priya Nair
Co-founder & CTO, Quill AI
We got back something like a day a week of ops work, and for once I can point at a dashboard and show the team exactly what the system is saving us.
Marcus Bauer
Founder & CEO, Render Inc
// founding clients — first few founders
I’m taking on a small number of founding clients.
CodeChang’s systems offer is new, and I’d rather earn proof than borrow it. So I’m building the first few AI Systems Engines at a founding rate of $1,500 (half the standard price) in exchange for an honest case study — the workflow, the integrations, and the dashboard numbers.
You get the same build for less. I get a real, documented win in your category. No testimonials invented, no logos I haven’t earned.
// who builds this
Who builds this.
CodeChang is run by [Founder name], an engineer who got tired of watching good SaaS teams burn their best people on work a system should be doing.
Based in Bali, working across AU/Asia and US timezones. I build AI systems the way I build software: scoped, repeatable, measured on a dashboard, and judged by whether they actually take work off your plate.
I use AI heavily and say so plainly — and I’ll always tell you where it ends and a human has to stay in the loop.
// questions
Questions founders ask.
Stop running your SaaS by hand.
30–45 minutes. A one-page systems plan. Credited toward your build.