Your CRM needs to talk to your accounting, your ATS to payroll, your webshop to your ERP. We connect the stack — via API, iPaaS or custom middleware — and make sure data flows reliably, even when one system is briefly down.
Most organisations that come to us share the same frustration: five or ten SaaS tools, each excellent at its own job, none of them talking to each other. Someone in finance copies orders from Shopify into Exact by hand. Recruitment exports candidates manually from Bullhorn into payroll. Customer details live in three places at once, and nobody knows which version is correct. The result is lost time, errors in the figures and unreliable reporting for the board.
A good integration doesn't solve that with a nightly CSV export or a failing Power Automate flow that nobody dares to touch. It ensures data flows in real time, that errors become visible before they cause damage, and that your people no longer waste time retyping information between systems. We build that layer pragmatically, without throwing out your existing stack. See also our broader integrations overview page for the complete vendor catalogue.
What sets us apart is that we are neither blind iPaaS evangelists nor custom-build evangelists. We assess honestly what fits: sometimes a fifteen-step Make flow is perfectly adequate, and sometimes a Kafka bus is needed because the volumes genuinely call for event streaming. The choice depends on your context, not on what we happen to enjoy building.
Our integration projects suit a range of organisations, but we see a number of recurring profiles. Small and medium-sized businesses with three or more separate SaaS tools struggling with data silos and manual handovers. Mid-market scale-ups whose original stack is starting to buckle under growth: recruitment is growing by 40%, finance can no longer keep up, and the first errors are appearing on payslips.
Companies with multiple business units that each run their own ERP or CRM but still need consolidated reporting. Software vendors who connect their product to their customers' stacks and need a scalable integration layer instead of a custom script per client. Agencies and consultants who want to deliver white-label integrations to their own clients without hiring an in-house development team. And finally, industry bodies and cooperatives who want to give their members shared data or a central portal.
The right solution depends on your volumes, the complexity of the transformations, and how much control you want to retain over the logic. We advise on which approach fits during the first conversation. As systems integration specialists, we don't automatically default to one flavour.
Two systems talking directly to each other via their official REST or GraphQL APIs. Quick to set up, low overhead, and well suited to stable integrations with clear domain boundaries. Think Shopify → Exact, HubSpot → Mailchimp, or a payment provider into your accounting package.
For organisations with ten or more integrations, an integration platform often works better than standalone scripts. Where it fits, we implement Workato, Boomi, MuleSoft or Make, with monitoring, error recovery and version control built in. Read the API vs iPaaS comparison if you're still unsure which approach suits you.
When iPaaS is too limiting, such as for complex transformations, high throughput or strict compliance, we build a custom middleware layer. This includes an API gateway (Kong, Tyk, Apigee), event streaming via Kafka or NATS, and a dead-letter queue for failing messages. The code lives in your own repository, hosted in your own cloud, with clear observability via Grafana or Datadog. This is the approach that mid-market and enterprise organisations grow towards as their integration landscape matures.
We think vendor-neutral. We have no partner commissions to earn, so we advise on what fits your landscape, not what happens to earn us the most. Sometimes that's a Workato subscription that brings us nothing, sometimes a custom development project. The advice stays the same.
The code is yours. All custom code is committed to your repository from day one. No lock-in, no vendor contract holding you back from switching. If you're not happy with us in a year, another agency can pick up where we left off without any reverse-engineering.
We work pragmatically. We only build what you need. No overengineering, no ceremonial architecture diagram nobody reads. A simple integration between two systems doesn't get a Kubernetes cluster, and a complex multi-tenant landscape doesn't get an Excel macro. The solution should match the scale of the problem.
If your webshop runs on CloudSuite, the work mainly involves pricing, stock and orders between that platform and your ERP. What's involved is covered in Building a CloudSuite integration.
Not just a working integration, but everything around it so you stay in control. Our integrations are yours: the code lives in your repository, the credentials in your vault, and you can switch provider at any time.
A cross-section from recent years. Do you recognise your own integration challenge? Then we'd be happy to talk further.
Synchronising Salesforce or HubSpot with Exact Online, AFAS or Microsoft Dynamics. Deals become invoices, customer data stays in sync, and the finance team stops double-entering data.
Shopify, Magento or WooCommerce exchanging orders, stock and returns with your back end. Including multi-warehouse, multi-currency and VAT-correct invoicing for international sales.
Bullhorn, Connexys, Homerun or Recruitee passing placed candidates on to NMBRS, Visma or Loket. Including contracts, changes and terminations. See also our page on Bullhorn integrations.
Automated customer messaging via WhatsApp Business, SMS through Twilio, or internal alerts in Slack and Teams. Includes an audit log and GDPR-compliant opt-out.
Mollie, Adyen, Stripe or Buckaroo connected to your accounting. At higher volumes, multiple PSPs in parallel with smart routing based on cost and success rate.
KvK Business Register, BAG, Kadaster, DigiD, eHerkenning, and Peppol for e-invoicing. Plus data warehouse integrations with Snowflake, BigQuery or Power BI.
DocuSign, Signhost, Itsme or PandaDoc for digital signatures and contract management. Includes assembling documents from templates using data from your CRM, ERP or HR system, so no more manually building Word files.
Lightspeed, Square or MplusKASSA connected to stock, accounting and marketing tools. Real-time revenue feeds to dashboards, automatic reordering, and customer data from point-of-sale systems to your CRM for follow-up.
Microsoft Entra, Okta, Auth0 or Google Workspace as a central identity provider across your entire application landscape. Includes just-in-time provisioning, group mapping and automatic deprovisioning when someone leaves.
The choice of tooling depends on the project. A selection of what we frequently use: no dogma, just pragmatism.
Workato for mid-market and enterprise, Boomi for traditional EAI projects, MuleSoft Anypoint for heavier implementations, Make and Zapier for light automation, and Frends for parties who prefer a European provider. We advise impartially based on your landscape, volume and budget.
Kong, Tyk and Apigee for exposing internal APIs to partners or a mobile app. Includes rate limiting, OAuth2, key rotation and a developer portal. For simpler projects, AWS API Gateway or Cloudflare API Shield.
Apache Kafka or Confluent Cloud for ordered event streams at scale, NATS for lighter pub/sub scenarios, RabbitMQ for classic message queues. Includes a schema registry and consumer monitoring so downstream systems don't quietly fall out of sync.
Grafana, Datadog or OpenTelemetry for metrics and traces across the entire integration chain. Distributed tracing lets you see where an order got stuck. Plus structured logging with correlation IDs across all systems.
Temporal or Camunda for processes that can take hours or days, such as an onboarding flow waiting on signatures from several parties. With retries, compensating actions and human-in-the-loop steps.
Integrations with OpenAI, Anthropic, Azure OpenAI or self-hosted LLMs for data enrichment, classification of incoming messages, or automatic summaries. Always with a fallback to deterministic logic, so a hallucination never breaks an integration.
No surprises along the way. We work in fixed steps, with a working build at the end of every sprint.
We map your current integration landscape: which systems, which data flows, which pain points. From that comes a prioritisation: which integration delivers the most value now, which can wait, and which first needs data clean-up. The result is a concrete roadmap, not a PowerPoint.
For each integration we advise what fits: direct API, iPaaS or custom build. We consider volume, transformation complexity, vendor lock-in and maintenance burden. Honest advice: sometimes a no-code Zapier flow is enough, sometimes you need a Kafka bus in between.
Every two weeks, a working integration or incremental extension. You test along in staging, see what flows through, and can adjust mappings before we go to production. The code goes straight into your repository, with no black box.
A phased rollout, often starting with a subset of data or a pilot department. Monitoring and alerts are sharp from day one. We remain on hand during the first sprint after going live to respond quickly to edge cases that only surface in production.
Vendor APIs change, your stack grows, and new systems join. Optionally, we provide ongoing maintenance, including security patches, vendor update checks and extensions on a fixed monthly basis.
Integrations almost always involve personal data or business-critical data. That calls for more than TLS encryption alone. It requires a considered data architecture, an audit trail and clear agreements on responsibilities between supplier and client.
We design integrations with compliance built in from the start, not as an afterthought. For regulated sectors, we provide the evidence your auditor and privacy officer need.
What clients usually want to know before we start.
A no-obligation introductory call of half an hour. Tell us which systems don't talk to each other, what problems that causes, and what you have tried so far. We'll give direction: sometimes the solution is simpler than you think, sometimes it calls for a bigger step such as a data engineering platform.
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