Ten to five hundred people, a CRM, an accounting system and a store that have never talked to each other.
You export CSVs, paste them somewhere else and reconcile the differences in Excel.
You are expected to “just connect it” and have a few Zapier zaps that break quietly.
Shopify or WooCommerce plus a warehouse, a 3PL and QuickBooks — four versions of every order.
Numbers from the MuleSoft Connectivity Benchmark, BetterCloud and Gartner — the systems are there, the connections are not.
of applications in the average organization are integrated with each other — the rest are connected by people and CSV files.
MuleSoft 2025 Connectivity Benchmark ↗of IT leaders struggle with data integration across systems; 80% name it the main obstacle to using AI.
MuleSoft 2025 Connectivity Benchmark ↗of IT leaders say data silos create problems for the business.
MuleSoft 2025 Connectivity Benchmark ↗of IT teams’ time goes into designing, building and testing custom integrations.
MuleSoft 2025 Connectivity Benchmark ↗SaaS applications in the average company, and about $135,000 a year wasted on unused licences.
BetterCloud State of SaaSOps 2024 ↗a year is the average cost of poor data quality per organization — much of it from manual transfers between systems.
Gartner ↗Put your monthly volume into the calculator and see hours and dollars.
Automated integration replaces the manual bridge between your systems — export the order from the store, paste the customer into the accounting system, retype the same thing for the warehouse, tell the team in Slack, reconcile the differences at month end — with a workflow that moves each record through every system on its own. In most companies the CRM, the store, the accounting software and the warehouse each hold a slightly different version of the same customer, and people spend hours a week keeping them roughly aligned. That is the part automation integrations remove.
We build it on the APIs and webhooks your systems already expose rather than on a new platform. A won deal in HubSpot, Salesforce or Pipedrive, an order in Shopify or a payment in Stripe starts a run: the full record is fetched, fields are mapped from one editable table, customers and products are matched — a language model proposes the match when names differ — and the record is written to QuickBooks Online, Xero or NetSuite and to ShipStation or your 3PL, with every ID stored back in the CRM. Failed calls are retried and then reported to a named person; a nightly reconciliation lists every mismatch, and a warehouse in Postgres or BigQuery feeds your dashboards.
Every system shows the same customer, the same order and the same payment status within seconds, nobody retypes anything, and a broken connection is an alert in the morning rather than a surprise at month end. Wireclad builds these integrations with n8n, custom code and APIs on your own infrastructure, so your data and your credentials stay with you.
The run path of a typical integration workflow — a won deal becoming a customer, an invoice and an order in every system. Anything ambiguous stops and goes to a person.
A HubSpot, Salesforce or Pipedrive webhook fires on “Closed won”; Shopify orders and Stripe payments arrive through their own webhooks into the same flow.
Reads the company, contacts, products and terms from the source — a webhook carries only an ID.
Converts fields to the target format — names, addresses, tax codes, currencies, SKUs — from one mapping table you can edit.
When a customer or product name does not match exactly, a language model proposes the match with a confidence score.
Checks the target by key: existing records are updated, new ones created, uncertain matches go to a person.
Writes the customer and invoice to QuickBooks Online, Xero or NetSuite and stores the returned IDs in the CRM.
Sends the order to ShipStation or your 3PL and adjusts stock levels; the 3PL confirmation updates the order.
A Stripe or QuickBooks payment webhook sets the deal to “Paid” in the CRM, closes the invoice and emails the receipt.
Slack or Teams message to the owner with links to the record in every system.
A failed API call is retried with backoff; after the last attempt the record is parked in an error queue with the reason.
Error-queue entries and API changes are reported to a named person — nothing fails silently.
Compares CRM, accounting and warehouse records and lists every mismatch with a suggested fix.
Loads all systems into Postgres or BigQuery for Looker Studio, Power BI or Metabase.
Typical minutes per record — an order, a deal, a payment — moved between systems by hand. Your own numbers go into the calculator below.
Based on 9 min by hand and 18 sec with the flow per item, from the table above.
The flow moves, matches and reconciles. People keep every decision about truth, money and access.
Which system wins for each kind of data, and what happens on a conflict, is your decision.
Records the reconciliation cannot settle are decided by a person, not overwritten.
Payments, refunds and credit notes are approved before they are posted.
What each integration may read and write is set by you and reviewed with us.
Anything a model changes in a system is confirmed by a person first.
When a vendor changes an API or you change a process, the update is agreed and tested, not guessed.
Flip a switch to hand a step to the flow or take it back.
Benchmarks from the MuleSoft 2025 Connectivity Benchmark and BetterCloud’s State of SaaSOps: the systems are there, the connections are not — which is exactly what a built integration layer fixes.
We map the process as it runs today, count the minutes and agree what the flow must never do on its own.
A working flow on your real data, in a sandbox. You see every run and every exception.
Edge cases, approvals and alerts, then the switch-over — with the old way kept as a fallback.
Monitoring, fixes when a vendor changes a format, and a monthly report of hours saved.
Usually. We work with SFTP or CSV exports on a schedule, parse the reports it emails, or, as a last resort, drive its web interface with browser automation. We say honestly which method a system allows before the project starts.
Zapier and Make are fine for a few simple zaps. When you have many steps, your own mapping rules, retries, deduplication and real error handling — or the per-task bill keeps growing — a custom n8n or Python integration is more reliable and cheaper to run. We still use Zapier where it fits.
Every step logs; failed calls are retried automatically, then parked in an error queue and reported to a named person in Slack or email. Nothing fails silently. Fixes are covered by the support plan you choose after launch.
Your choice. Self-hosted n8n on your own server or in your own cloud account keeps data inside your perimeter; we can also run it in our managed environment. Credentials are stored encrypted and scoped to what each integration needs.
We start with a dry run: records are matched, duplicates listed and the mapping reviewed with you before anything is written. The initial load runs in batches with a report, so nothing is overwritten by surprise.
We do, under a monthly support plan, or your team does with the documentation and runbook we hand over. API changes from vendors are the usual reason for maintenance, and the alerts catch them early.
Describe it in two sentences — we reply within a day with a workflow sketch.
hello@wireclad.com →