Custom Integrations
We Connect Your Systems So the Numbers Match.
CRM, billing, ERP, and ops tools like Shopify, Xero, and HubSpot, connected so data goes in once, moves on its own, and every field has one system in charge of it.
Available for new projects
Who This Is For
If one of these is you, keep reading.
SMBs Outgrowing Zapier or Make
Task bills climbing, chains breaking, and nobody sure what's connected to what.
Services Firms With Five Systems
CRM, proposals, time tracking, and invoicing that never agree on the client record.
E-commerce Brands
Store, warehouse, ERP, and support desk that need to agree on orders, refunds, and stock.
Companies After an Acquisition
Two sets of systems that have to become one version of the truth.
Companies Getting Ready for AI
Agents need data that's connected and consistent. Connecting the systems comes first.
Why Connect Your Systems
Most teams get here after outgrowing a no-code tool or a spreadsheet. These are the reasons they give.
No More Typing It In Twice
People spend more than nine hours a week moving data from one system to another. That's a day a week, per person.
Reports People Believe
About half of IT leaders fully trust their company's data. When two systems disagree, every number turns into an argument.
The No-Code Bill
A five-step automation that runs a hundred times a day is 15,000 tasks a month. Pay per task and the bill grows faster than the business.
One View of the Customer
Support can't see billing. Sales can't see what's been delivered. The customer notices before you do.
Data Your AI Can Reach
80% of businesses say connecting systems is a major barrier to AI. An agent can't act on data it can't get to.
The Person Who Owns Zapier
Forty automations, one person, nothing written down. When they leave, nobody knows what runs where.
What Makes Integrations Hard
Connecting two systems takes an afternoon. Keeping them in agreement for years is the actual job.
API Limits and Breaking Changes
Salesforce caps how many requests you get a day. HubSpot retires old API versions. A connection works until the vendor removes the thing it relies on.
Fields That Don't Line Up
The same field means different things in different systems, and the same customer exists twice under two names.
Handling Failures
A blip needs a retry, spaced out. A queue of failed jobs that nobody looks at is where problems go to hide.
Logins and Keys
Expired tokens, rotated passwords, and service accounts with far more access than they need are a common reason a connection just stops.
Getting Stuck on a Platform
Proprietary connectors and transforms make leaving an integration platform expensive.
Platform Cost as You Grow
Pricing by volume, calls, or connectors means the bill grows every time the business does.
Integrations in Numbers
Why the first connection is the easy part.
897
apps per organisation on average. 29% of them are connected to each other.
39%
of IT time goes on building and testing custom connections between systems.
9+ hrs
a week per person on manual data entry, about $28,500 per employee per year.
Sources: MuleSoft, Connectivity Benchmark Report (2025) · MuleSoft, Connectivity Benchmark Report (2025) · Parseur / QuestionPro, Manual Data Entry Report (2025)
Where Integrations Go Wrong
Five failures we've seen in other people's syncs, and built ours to survive.
Sync That Stops Quietly
Records look synced but stopped updating weeks ago. You find out from a wrong report or a customer complaint, not an alert.
Duplicates from a Tie
Two processes check for a record at the same moment, both find nothing, and both create one.
Billing Twice on a Retry
Stripe delivers each event at least once and keeps retrying for days. If the code isn't safe to retry, the customer gets charged twice.
Loops and Updates Out of Order
Two one-way flows echo changes back and forth. When clocks drift, 'last write wins' picks the wrong version.
Runaway Automations
A flow that triggers itself burns the month's task quota in an hour. Then everything stops, or the overage invoice arrives.
How We Build It
We treat it as plumbing, because that's what it is. Our own products run on the same code.
One System in Charge of Each Field
We decide with you which system owns which data. When two disagree, it goes to a review queue, not a coin toss.
Safe to Retry
Every event has an ID. A retry does nothing the first run didn't. Nothing gets created or billed twice.
Retries, and a Queue Someone Watches
Blips fix themselves. Anything that keeps failing alerts a person, with enough detail to sort it out.
You Know When It Breaks
Sync success rate, time to sync, and error spikes on a dashboard from day one. You find out before your customer does.
Built for Vendor Changes
We track API versions, watch for deprecations, and keep each vendor behind its own adapter so a change is a small fix.
No Platform Lock-In
Plain code you own, running where you control it, with no per-task bill and no proprietary transforms.
What we build with
- Node.js
- TypeScript
- PostgreSQL
- Redis
- BullMQ
- webhooks
- REST and GraphQL
- Stripe
- HubSpot API
- Xero API
- Shopify API
Built the same way: Receivables · Banyan · Egis · Lift
Why We Build One Sync at a Time
A six-month integration programme with one cut-over weekend is how syncs fail quietly. We connect one flow every two weeks, with monitoring on before the old automation is switched off.
The First Sync Live in Weeks
The flow that costs you the most manual entry is running on real data inside the first month. You're watching records move.
Real Data Steers the Roadmap
The error dashboard and the review queue show exactly where systems disagree. That decides which flow gets connected next. Flows that never conflict wait.
Stop at Any Point
Every two weeks you see a live demo of what's syncing and make a decision: keep going, change direction, or stop. You are billed per step, so if you stop, you pay for the flows that run.
Change Your Mind Cheaply
Adding a field or a system costs one step. What's already running keeps running. The one thing we fix early is which system owns each field, because that is the decision that is expensive to reverse.
Least Cooperative System First
The API with the tightest limits, the worst documentation, or the messiest data gets connected first. If something is going to be hard, you find out in week two.
No Cut-Over Weekend
The old automation stays on until the new sync has run clean for two weeks with monitoring watching it. Then it gets switched off. Nothing is turned off on faith.
How a Fixed-Price Integration Runs
Short loops. The first sync is running on real-shaped data within weeks, with monitoring on from day one. You own the code throughout.
- Typical timeline
- 3-10 weeks
- First sync live
- Week 3
- Live demo
- Every 2 weeks
- 01
Discovery and Data Audit
Week 1A fixed-fee week. We map every system, who owns it, how much flows through it, and every existing automation, including the ones nobody remembers building. You keep the map whether or not you go ahead.
- System map
- Automation inventory
- Fixed price for the build
- 02
Deciding Who Owns What
Week 1-2Which system owns which field, and what happens when two disagree. Written down and agreed.
- Ownership document
- 03
Design and Mapping
Week 2-3Direct API, event-driven, queued, or a mix. A field-by-field map before any code is written.
- Field-by-field map
- Architecture choice
- 04
Build
Week 3-8One flow at a time. Safe to retry, spaced-out retries, a watched queue for failures, and credentials with only the access they need, from the first commit.
- First sync live, week 3
- New flow every 2 weeks
- Live demo every 2 weeks
- 05
Test With Real-Shaped Data
Week 4-8Duplicates, deletes, half-empty payloads, and events arriving out of order. Production will send you all of them.
- Test report per flow
- 06
Switch Over With Monitoring On
Week 8-10Alerts and dashboards are live before the switch. Old automations get turned off once the new sync has run clean.
- Dashboard and alerts
- Old automations off
- 07
Keep It Running
OngoingWe watch API changelogs, track versions, and have a plan ready for every deprecation notice. On a monthly retainer, or handed to your own team with the runbook.
What It Costs
Fixed fee
Ends with a scope document and a fixed price for the build. Yours whether or not you go ahead.
- Scope document
- Fixed price
$8k - $60k
A one-way sync between two well-documented systems sits at the low end. Two-way sync across several systems, conflict handling, and monitoring push it up.
- Billed
- Per 2-week step
- Stop
- At any point
- Price moves
- Only if scope does
Zapier or Custom
No-code is the right tool for a lot of jobs. This is where the line is.
Stay on Zapier or Make While
Volume is low, one person owns the flow, the logic is simple, and a failure is a nuisance rather than a cost. It's the fastest way to find out whether an automation is worth having.
Go Custom When
The task bill grows faster than revenue, the logic no longer fits in a flow builder, or a quiet failure costs money.
Both, Nearly Always
Custom for the flows the business depends on. No-code for the long tail of small conveniences.
Common Questions
If yours isn’t here, book a call and ask.
Which Two Systems Disagree?
Tell us which numbers never match and who spends their time checking them, on the call. If it's a fit, a one-week discovery follows, and at the end of it you have a plan for where the data should live and a fixed price to connect it.