Systems Integration & Automation

Systems integration that turns your stack into one system.

Data should move without people pushing it — with one source of truth, and one engineer accountable for the whole picture.

Book an intro callSee it running

Everything works until something fails.

Integration moves data and automation moves work — but neither is worth much if nobody engineered what happens when a platform on the other end has a bad morning.

The failure path

Built for the bad day.

An integration is only as good as its worst day. The demo always works — the question is what happens at 2am when an API returns a 500, a record arrives malformed, or a platform changes its schema without telling anyone.

  • Retries with backoff, and a replay log for whatever didn't land
  • Alerts when a flow stops — not when someone downstream notices
  • Reconciliation you can run to prove both sides still agree

The honest no

What I won't wire up.

Not every manual step is worth automating, and not every stack needs middleware. Some of these cost more to maintain than the work they save.

  • An automation that saves ten minutes and breaks monthly
  • Middleware between two platforms that already integrate natively
  • A replatform when the real problem is one missing webhook
Data flow

Integrations

Point A to point B, reliably.

APIs, webhooks, and custom middleware that move records between your platforms in real time — with error handling, retries, and logging, so a silent failure never costs you a week of orders. Great Day Improvements runs on that pattern: WordPress VIP multisite and integration engineering for a national brand, through a merger and out the other side.

  • REST and GraphQL integrations across CRM, marketing, and ecommerce
  • Custom middleware when platforms don't natively connect
  • One source of truth — every record owned by exactly one system
Great Day Improvements · enterprise, in production
per record, by design
One owner
logged, retried, and surfaced
Every failure
Integration~2–4 weeks
Quoted
Scoped and priced on a discovery call

Two platforms connected through their APIs — built for the bad day, not the demo.

  • Records moving in real time, one owner per record
  • Error handling, retries with backoff, and a replay log
  • Alerts when a flow stops — before someone downstream notices
  • Reconciliation you can run to prove both sides agree
  • Custom middleware when the platforms don't natively connect
  • Runbooks and docs at handoff
Compare the packages side by side →
Workflow

Automations

Work that happens without you.

Event-driven workflows that remove the manual steps in the middle — lead routing, order sync, reporting, follow-ups — triggered by what actually happens in the business rather than by someone remembering to do it on a Friday.

  • Event-driven workflows with error handling built in
  • AI-assisted steps where they hold up in production
  • Zapier where it's smart, custom code where it matters
How every automation ships
by the event, not the calendar
Triggered
logged and replayable
Every step
Automation~2–3 weeks
Quoted
Scoped and priced on a discovery call

One manual routine off the pile, end to end — triggered by events, not by someone remembering.

  • One workflow automated end to end, exceptions included
  • Triggered by what happens in the business, not the calendar
  • Every step logged and replayable
  • Alerts when a run fails
  • Zapier where it's smart, custom code where it matters
  • Runbooks and docs at handoff
Compare the packages side by side →
Cutover plan

Migrations

Off the platform you've outgrown.

When a platform stops fitting, the risk was never the new system — it's the move. Schema mapped first, old and new run in parallel, every record reconciled, and a rollback path that stays open until the numbers agree. Cutover happens when the data says it's safe, not when the calendar does.

  • Schema mapping before a single record moves
  • Old and new running in parallel, reconciled record by record
  • A rollback path that stays open until the numbers match
How every migration runs
before any cutover
Parallel run
reconciliation, not spot checks
Record-level
Migration~8–12 weeks
Quoted
Scoped and priced on a discovery call

Off the platform you've outgrown — cutover when the data says it's safe, not the calendar.

  • Schema mapped before a single record moves
  • Old and new running in parallel until the numbers agree
  • Record-level reconciliation, not spot checks
  • A rollback path that stays open through cutover
  • Integrations re-pointed at the new platform
  • A documented cutover plan, plus runbooks at handoff
Compare the packages side by side →

Whichever way you start.

Architect the whole system

Start from how the business actually runs: which platforms, which flows, which tool owns each record. You approve the blueprint before anything gets built.

Plug into what you have

Your stack mostly works; it has gaps. I extend it with APIs, webhooks, and middleware — no rip-and-replace to solve a two-week problem.

Start with one flow

Take the worst manual routine off the pile first. It pays for itself before the next one gets scoped.

Available on retainer or by project — same discipline either way.

How retainers work →How projects work →

From audit to handoff.

  1. Step 1

    Discovery

    Map the tools, the data flows, and the manual steps — and the constraints nothing can break.

  2. Step 2

    Architecture

    A blueprint of what connects where, what gets automated first, and why.

  3. Step 3

    Build

    Staged delivery with error handling and retries, tested on real data — not happy-path demos.

  4. Step 4

    Handoff

    Runbooks and docs so your team can run the system without waiting on me.

Tooling
  • Next.js
  • TypeScript
  • PostgreSQL
  • AWS Lambda
  • REST & GraphQL APIs
  • Webhooks
  • Salesforce
  • HubSpot
  • Shopify
  • WordPress VIP
  • Zapier / Make

Live journey

A sample reorder journey, built and automated end to end.

This sample integration mirrors a reorder flow a business might use to turn a first-time buyer into a repeat customer. I built every step — from the purchase webhook and welcome email to click tracking, return visits, cart activity, and coupon redemption. Your flow will be different; I can connect and automate it across the platforms your business already uses.

  1. First orderwebhook
  2. Welcome emailResend
  3. Link clickedclick event
  4. Return visitUTM tag
  5. Add to cartcart event
  6. Second ordercoupon code

Problem: one-time customers. Solution: data-driven automation.

See the full wiring→Run the journey live→

How pricing works.

Every shape above is quoted from a discovery call — complexity decides the number, not a rate card. The quote is fixed before anything gets built: no hourly meter, and no change order the first time a second platform turns up.

Integration work compared: what each shape does, how it fails safely, and typical timeline
IntegrationQuoted~2–4 weeksAutomationQuoted~2–3 weeksMigrationQuoted~8–12 weeks
What it isTwo platforms connectedOne workflow, end to endOne platform to another
Runs onPlatform events, in real timeBusiness events, not the calendarA parallel run, then cutover
Failure handlingRetries, backoff, replay logRetries, backoff, replay logRollback path until the numbers agree
Every step loggedIncludedIncludedIncluded
ReconciliationRun it on demandWhere records moveRecord-level, before cutover
Alerts when it breaksIncludedIncludedThrough the parallel run
Runbooks & docsIncludedIncludedIncluded
Not sure where to start? Audit — $750
Fixed fee — credited when you proceed

The stack mapped as it actually runs: every platform, every data flow, every manual step in between — and a prioritized list of what to connect or automate first. Yours to keep, whoever ends up doing the work.

What moves the number

Bring the stack to a 30-minute call and you'll leave with a real range — not a proposal you have to chase.

  • How many platforms are in scope
  • Whether the APIs exist or middleware has to be built
  • Record volume, and how clean the data is
  • Whether anything has to migrate or run in parallel

Frequently Asked Questions

Can you plug into the systems I already have?

Yes — that's most engagements. I extend what you have through APIs, webhooks, and middleware rather than pushing a replatform. Rip-and-replace is the last resort, not the sales pitch.

How long does a systems integration project take?

A single integration typically lands in 2–4 weeks. Multi-system architecture or a full migration runs 8–12. Either way you get a blueprint with milestones before I write code, and staged delivery — never a big-bang launch.

What platforms can you integrate?

Anything with an API: Salesforce, HubSpot, Shopify, WordPress and WooCommerce, QuickBooks, marketing and email platforms, payment processors, and custom internal tools. Where no native connection exists, I build the middleware.

How do you migrate systems without losing data?

Schema mapping first, then the old and new systems run in parallel while every record is verified. Cutover happens only when the numbers reconcile — and there's a rollback path until they do.

What happens when an integration breaks?

It's designed to break safely. Failed calls retry with backoff, whatever doesn't land goes to a replay log rather than disappearing, and an alert reaches a human when a flow stops — instead of the failure surfacing a week later as missing orders. On retainer, that human is me.

Who maintains the system after launch?

Your call. Every build ships with runbooks and documentation so your team can operate it. Most clients keep me on retainer for monitoring, changes, and whatever the next platform in the stack turns out to be.

Tell me what's still manual.

30 minutes. Bring the spreadsheet, the copy-paste routine, or the platform you've outgrown — you'll leave with a straight read on how it gets connected.

Book an intro call