Advisor and implementation partner for organisations with a growing systems landscape. From assessment and architecture to choosing an iPaaS, custom integrations and long-term maintenance. Vendor-neutral, with the code in your own hands, and a team that both advises and builds.
Many organisations have let their stack grow along the way: a CRM for sales, an ERP for finance, three SaaS tools for marketing, a custom tool for operations, and on the fringes some shadow IT from a department that wanted to solve things itself. At some point it stops working as the sum of separate parts.
At that point, the question is no longer how to connect two systems. The question becomes: what landscape do you want in two years' time, which systems will be the source of which type of data, how information flows between those systems, and which layer sits in between to orchestrate and govern it all? That is the work of a systems integration specialist: strategy and implementation, not one or the other.
We do this work for mid-market organisations, scale-ups with a fast-growing stack, post-merger programmes where two IT landscapes need to come together, conglomerates with multiple business units running their own ERP, industry bodies, government and the public sector (Common Ground), financial institutions with a multi-vendor stack, and healthcare organisations with the familiar EHR, patient portal and payroll chain.
Our positioning is a deliberate choice. We have no reseller relationships with iPaaS vendors, so the choice of toolchain follows your situation rather than a sales agenda. The code we write lives in your own repository and remains your property: no lock-in, and no contractually dependent licences on the work itself. Our team combines builders and consultants, so advice and delivery sit with the same people. We work from Amsterdam with a fixed team, and we deliver pragmatic work: a working integration landscape with accompanying documentation, not a report that ends up in a drawer. Our approach to smart API integrations describes the hands-on side of this work in more detail.
Depending on the stage your landscape is in, we choose a different starting point. An audit is something different from implementation, and managed operation is again something different from an embedded engineer.
We map the full systems landscape: sources, data flows, integrations, owners per field, and where the pain lies. From that, we derive an architecture choice (point-to-point, hub-and-spoke, event-driven) and a multi-year roadmap with priorities. Not a two-hundred-page report, but a working document your team can take forward.
The hands-on work: integrations, data pipelines, event streams, master data management and monitoring. We use iPaaS where it fits (Workato, Make, Boomi, MuleSoft, Frends, Zapier for lighter flows) and build custom where the specifics require it. For data volumes, we use ETL via dbt, Airflow or Fivetran, and for event-driven architectures, Kafka or Confluent. The choice depends on your stack, not on our preference.
Two models for the long term. Managed integrations means we keep managing, monitoring, developing and maintaining compliance for the integration landscape. An embedded integration engineer is one of our people who becomes part of your team: they think along on architecture, build alongside you and pass knowledge on to your own staff. Both models can scale up or down.
A working integration landscape, under your control, with a team that knows it in detail. Vendor-independent, code in your own repository, and an audit trail that is in place.
Over the past few years we have integrated landscapes in manufacturing, healthcare, financial services, agri-food, recruitment and the public sector. The patterns differ, but the work itself is fundamentally the same.
A few patterns in which we support organisations. If you recognise one of these situations, we would be happy to talk further.
You have reached the mid-market stage where several tools overlap, the same customer data sits in multiple places, and nobody can say which system is the leading one any more. Sales, marketing and operations work with different versions of the truth.
After an acquisition or merger, two complete stacks sit side by side. The question is not only which systems will stay, but also how data will flow between them until the migration policy is finalised — which usually takes longer than expected.
A group in which each operating company has its own systems, yet group-level reporting, consolidation and shared services are still needed. The integration layer becomes the place where the group comes together.
A fast-growing organisation in which every department adds tools that don't talk to each other. For the IT team, building integrations on an ongoing basis is no longer work that can be squeezed in; a strategy and a dedicated implementation team need to be put alongside it.
Industry bodies with affiliated members, cooperatives with diverse affiliates, or government bodies wanting to open up data within the Common Ground principle without central storage. The integration layer is then the real product.
Financial institutions with a multi-vendor stack and DORA requirements. Healthcare organisations that must integrate EHR, patient portal and payroll in a NEN 7510-compliant way. Energy and grid operators with BIO and NIS2 requirements. Compliance is then a design variable, not an afterthought.
An initial conversation in which we understand your landscape, your growth stage and what prompted the project. This is not a sales pitch — we are checking whether there is a match in working style and in the substance of the challenge.
A discovery phase spanning several sprints, in which we map out your systems landscape: which systems you run, which data flows, which integrations, which shadow IT, and where the pain points are. We interview key people from IT, the business and compliance. At the end we deliver a working document with an architecture recommendation.
Based on the audit, we choose an approach for each integration: iPaaS for what is light and standard, custom development for the specific work, ETL for data volume, and event streaming for real-time needs. This results in a multi-year roadmap with priorities and dependencies. Our knowledge base explores the trade-off between direct API integration and an integration platform in more depth.
We build iteratively, one integration at a time. Every sprint delivers something that works, with monitoring, retry logic and an audit trail from the start. Your team works alongside us: we stand beside you, not in place of you. Alongside the build, we also work on master data governance and a compliance overlay.
After go-live, you choose: managed integrations, where we continue to look after the landscape, or an embedded integration engineer who works within your team. Both models scale up or down as your landscape matures and your own team is able to take on more.
An integration landscape is never finished. Systems get added and retired, business logic changes, and compliance requirements tighten. We keep the overview, flag when an integration needs revisiting, and monitor the health of the whole landscape. For your own team, that means a fixed point of contact who knows the landscape, so you don't have to hold the full picture in your head yourself.
Questions clients ask before starting a project.
A free, no-obligation introductory call of half an hour. You tell us about your stack, your stage of growth and what prompted the conversation. We ask questions, sketch a possible approach and give direction you can actually use, even if we do not end up working together.
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