Your CRM, your accounting tool and your support desk each hold a different version of the same customer, so somebody spends their week copying rows between them. We build the API, SaaS and data integrations that stop that happening, on Make.com, n8n, Zapier or custom middleware, including connectors for the systems nobody else supports.
Make.com Platinum Partner, Zapier Partner and n8n Certified Expert Partner, ISO 27001 and ISO 9001 certified.
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What we offer
We connect third party APIs to your stack and build connectors for the tools that have none: your niche ERP, the local invoicing tool, the internal system somebody built in 2014. REST, GraphQL, SOAP and webhooks are routine work for us, and if a system only has scheduled exports we can usually work with that too.
When several systems need to agree before anything is written, point to point connections stop being enough. We design the layer that sits between them, handles retries and errors, and gives you somewhere to look when something breaks overnight.
We map the SaaS tools you already pay for, decide which system owns each record, then build and monitor the flows between them. Most projects start here, and the business case is usually the admin time your team gets back.
Customers, orders, invoices and stock need to match wherever they appear. We set the source of truth per record, map and deduplicate fields, and run real time or scheduled sync with reconciliation checks, so finance and sales report the same number.
The two systems that cause the most pain, because they hold the records everything else depends on. We connect HubSpot, Salesforce, Business Central, Odoo and the rest to the tools around them.
APIs change, tokens expire, a vendor deprecates an endpoint without telling anyone. We monitor what we build and fix it under SLA, so the integration doesn’t quietly rot six months after go live.
Integration types
Suppliers use these terms loosely and they overlap. This is how we use them when we scope a project, so you can tell which one describes your problem.
| Integration type | What it connects | A typical project | How we usually build it |
|---|---|---|---|
| API integration | Your systems to a third party service, or to another system’s API | New Shopify orders pushed into your ERP, with stock levels sent back to the shop | Make.com, n8n or a custom connector, with authentication, rate limits and retries handled |
| Systems integration | Several business systems that have to work as one process | A CRM, an ERP and a warehouse system agreeing on an order before it ships | A middleware or iPaaS layer with queuing, an audit trail and one owner per record |
| SaaS integration | The cloud tools your teams already use every day | HubSpot, Xero and Zendesk sharing one customer record | Native connectors where they’re good enough, scenarios and workflows where they aren’t |
| Data integration | Data from many sources into one consistent view or store | Sales, finance and product data synced into BigQuery for reporting | Real time or scheduled sync, field mapping, deduplication and reconciliation |
Moving data once, out of a legacy system or into a new platform, is a migration rather than an integration, and our data migration services cover it. Connecting AI models to the systems you already run is AI integration.
Protocols and formats we work with
What you get
That’s what clients usually stop spending on manual data entry once their core systems talk to each other. It’s also the number that makes the business case, because your finance director can check it.
Measured on the processes we automate, against what the same work cost when it was done by hand. Most projects pay for themselves within 3 to 6 months on time savings alone.
Copy and paste has a failure rate that nobody measures. Automated flows have logs, alerts and a replay button, so a mistake shows up before a customer finds it.
When finance, sales and support pull the same figure from the same source, the weekly argument about whose report is right goes away.
A lead that reaches the right salesperson in seconds instead of the next morning is a different lead by the time they’re called.
A stack with a designed integration layer can absorb the next system. A stack held together by forty point to point connections can’t.
Systems integration
Plenty of integration problems don’t need a middleware layer, and plenty of agencies will sell you one anyway. Here’s the honest split.
One direct connection for each pair of systems. It’s quick to build and fine for two or three tools, but every new system adds more connections to maintain.
Every system talks to a central layer instead of to each other, so adding or replacing a tool means changing one connection rather than several.
A shared platform such as Make.com, n8n, Workato or Azure Service Bus routes, transforms and queues messages between systems, with monitoring in one place.
Systems expose reusable APIs in layers, so new apps and AI agents can use the same access without another bespoke integration.
Start with where it has to run. If your data can’t leave your infrastructure, self hosted n8n or a custom service is the answer, and hosted iPaaS pricing stops mattering.
If it can leave, compare three things: how the tool handles a failure halfway through a multi step flow, whether you can replay what happened, and the cost at ten times your current volume.
Read our iPaaS comparison guideWe build on Make.com as a Platinum Partner, on n8n as a Certified Expert Partner, on Zapier as a Zapier Partner, and on Workato, Power Automate and custom services. We’ll recommend the one that fits rather than the one we’d prefer to sell.
Systems we connect
If it has an API, an export or a database we can reach, we can usually connect it. These are the categories we work in most often.
HubSpot, Salesforce, Pipedrive and Zendesk Sell, kept in step with marketing, finance and support so every team sees the same customer.
CRM integration servicesBusiness Central, NetSuite, SAP, Odoo, Xero, QuickBooks, Exact Online and AFAS, with invoices, payments and ledger entries flowing without rekeying.
ERP integration servicesShopify, WooCommerce, OpenCart and marketplace APIs, so orders, stock, prices and product data stay aligned across every channel you sell on.
Ecommerce automation servicesStripe and local invoicing tools such as Oblio, connected to your shop and your ledger so a payment produces the right invoice and the right accounting entry.
Accounting automationPersonio, BambooHR, HiBob and Bullhorn, connected to payroll, IT accounts and onboarding tasks so a new starter is set up from one record.
Employee onboarding automationZendesk, Intercom, Freshdesk, Slack and WhatsApp, so a conversation reaches the right system with the customer’s order and account history attached.
WhatsApp automationPostgreSQL, MySQL, SQL Server, BigQuery, Azure Service Bus and SFTP file drops, including internal tools that only expose a database. When a legacy system is retired, we move its data out as well.
Data migration servicesThe five stages
We map your systems, the data each one owns, and where the manual work sits. You get a written scope with a fixed price, whether or not you carry on with us.
We agree the source of truth for each record, pick the platform, and design the error handling before anything gets built.
A simple two system sync can be live in days. A multi system flow with custom connectors takes longer, and we’ll tell you which one you have during discovery rather than after.
We run the new flows in parallel with your manual process until the numbers match, then switch over.
Monitoring, fixes and changes when your tools change. 24/7 monitoring and support, with fixes handled under SLA.
Proof
Three projects where the hard part was a system with thin documentation or no ready made connector.
ERP · Systems integration
9 applications, 200+ fields
Microsoft Dynamics Business Central with custom fields, connected to nine other applications through custom APIs, Make.com and Azure Service Bus.
View case studyEcommerce · API integration
Marketplace API live
After earlier attempts by other teams had failed, we built Make.com modules for the Decathlon Marketplace API that create and update products, stock and prices from the client’s store.
View case studyHospitality · Finance
Monthly reports, fully automated
A Belgian hotel chain’s payment and financial reports move from Apaleo, formatted for Exact Online and AFAS, every month without anyone building a CSV by hand.
View case studyPricing
The price depends on the work between the systems more than on the number of systems. We fix the price of discovery and give you a written scope you can take elsewhere, then quote the build against that scope.
Platform costs for Make.com, n8n hosting, Zapier or Workato are billed separately, and we size them against your real volume rather than the headline plan. Monitoring and support after go live is agreed separately, under SLA.
Get a fixed price discoveryFor software companies
If you sell software rather than buy it, the problem runs the other way. Your users keep asking for integrations you don’t have time to build, and every one you skip is a deal that goes quiet.
We build Make.com apps, Zapier integrations and n8n nodes for SaaS products, so your users can connect you to the 6,000+ tools those platforms already reach without you maintaining a connector for each one. That covers the app itself, the templates your users start from, and the support when their flows break.
They cover the design, build and upkeep of connections between your systems through their APIs, so data moves and actions trigger automatically instead of being copied by hand. A good provider also handles what sits around the connection: authentication, rate limits, error handling, monitoring and what happens when a vendor changes its API.
A systems integrator makes separate business systems work as one process. That starts with deciding which system owns each record, then building the connections, the middleware between them and the monitoring that tells you when something fails. We do this for CRM, ERP, finance, ecommerce, HR and support systems, on integration platforms or in custom code depending on the job.
Point to point, where each pair of systems has its own connection; hub and spoke, where every system talks to a central layer; a service bus or iPaaS platform that routes and queues messages between systems; and API led integration, where systems expose reusable APIs in layers. Most companies we work with run a mix, and the right one depends on how many systems share the same data.
The common approaches are manual exports, application sync between live systems, ETL or ELT pipelines into a data warehouse, middleware that routes data between systems, and federated access that queries data where it lives. Most of our projects combine application sync for day to day records with a pipeline into reporting.
Ours run in five: discovery, architecture, build, testing in parallel with your current process, and support. Discovery and architecture take one to three weeks between them, and that is where most of the risk is removed, before any build starts.
It depends on whether connectors already exist, how much logic sits between the systems, your volume and the state of your data. Discovery is fixed price and gives you a scope you can take elsewhere if you’d rather. Platform costs for Make.com, n8n hosting or Zapier are separate, and we size them against your real volume rather than the headline price.
A two system sync using existing connectors goes live in days. A flow across several systems, with custom connectors and real error handling, usually runs two to six weeks from scope to production. We give you the timeline in writing after discovery, not before.
Use the native connector when it covers the fields and the volume you need, because it’s the cheapest thing to maintain. Build custom when the connector skips fields you depend on, can’t cope with your volume or error cases, or doesn’t exist. We check this field by field during discovery.
Vendors version and retire endpoints, sometimes with little notice. We monitor every flow we maintain for failed and skipped runs and update the integration under SLA when a vendor changes or retires an endpoint, so the change shows up as a ticket rather than as a fortnight of missing data.
Yes, and it’s most of what we do. If the system has an API we build a custom connector. If it only has scheduled exports or a database we can reach, we work with that instead. If there’s genuinely no way in, you’ll hear that during discovery rather than after you’ve paid for a build.
Someone who works across platforms rather than reselling one. An agency tied to a single iPaaS will recommend it whether or not it fits your volume, your data residency rules or your budget. Ask any shortlist what they’d do if the best answer turned out to be a tool they don’t sell.
Start with where it has to run. If your data can’t leave your infrastructure, self hosted n8n or a custom service is the answer and hosted iPaaS pricing doesn’t apply. If it can leave, compare how each tool handles a failure partway through a multi step flow, whether you can replay what happened, and the cost at ten times today’s volume. Most tools look similar until one of those three questions gets asked. Our iPaaS comparison guide goes through the options in more detail.
No. If you already run Make.com, Zapier, n8n or Power Automate, we work inside it. We only raise migration when your current platform costs you significantly more than the alternative at your volume, and we’ll show you the maths before you decide.
We’re ISO 27001 and ISO 9001 certified, and our work is designed for GDPR compliance. Where data can’t leave your environment, we deploy self hosted n8n or custom services inside your own infrastructure rather than routing it through a hosted platform.
No, and it helps to name the right one. API and systems integration connects business tools to each other, building the connections and workflows your stack needs. AI integration is a different job: connecting AI models to your existing systems so they can read your data and act inside your tools. We do both, and they are part of our wider AI services; if your goal is to put AI to work inside your stack rather than connect two apps, start with AI integration.
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