The problem

Somewhere in your company, someone is copying data from one system into another. Manually. Every day.

Maybe it's exporting orders from SAP and importing them into a reporting tool. Maybe it's re-entering customer information across three platforms because none of them talk to each other. Maybe it's a finance person who spends every Monday morning downloading CSVs, reformatting them in Excel, and uploading them somewhere else.

Nobody planned for this. It just happened — one system at a time, over years. Each tool made sense when it was introduced. The problem isn't any individual system. The problem is that they were never designed to work together.

The instinct is often to rip everything out and start fresh. New ERP, new CRM, new everything. But you've seen what those projects look like — two years, three times the budget, and at the end of it, half the features from the old system are missing because nobody documented them.

There's a better way. You keep the systems that work, fix the connections between them, and replace only the parts that are genuinely broken. That's what we do.

What we do

API layers on legacy systems

Your SAP, your ERP, your document management system — they have data that other parts of your business need. But getting that data out usually means exports, reports, or asking someone from IT. We build API layers that sit on top of these systems and make their data accessible in real time. Clean endpoints, proper authentication, documented. Your other applications can pull what they need without anyone running a report.

This doesn't require changing the legacy system itself. We connect to it the way it wants to be connected to — whether that's a database, a file interface, an existing API, or sometimes something more creative. The legacy system keeps running exactly as it did before.

Data synchronization

When the same information needs to exist in multiple systems — a customer record, a product catalog, a price list — keeping it in sync manually is a losing game. Someone will forget, something will be outdated, and eventually nobody trusts any of the systems.

We build synchronization pipelines that keep your systems consistent automatically. When something changes in the source, it propagates. When there's a conflict, it gets flagged instead of silently overwriting. When something fails, you know about it immediately — not three weeks later when the numbers don't add up.

Process automation

The workflows that currently run on email, phone calls, and institutional memory — we turn them into defined, automated processes. Not because automation is inherently better, but because these invisible workflows are fragile. When the person who knows the process goes on vacation, everything stops.

We map the actual workflow (which is almost never what the documentation says), identify the steps that can be automated, and build the connections. The human steps stay human. The mechanical steps become reliable.

Incremental migration

When a system genuinely needs replacing — not just connecting — we do it piece by piece. The industry calls this the strangler fig pattern: you wrap the old system with new services, migrate functionality gradually, and eventually the old system has nothing left to do.

This is slower than a big-bang rewrite. It's also dramatically safer. You never have a day where the old system is off and the new system doesn't work yet. Your team migrates one workflow at a time, validates it, and moves on.

How we approach it

Integration projects fail when you start building before you understand the full picture. We've seen companies automate a process that shouldn't exist in the first place, or connect two systems without realizing there's a third system nobody mentioned. We start by mapping everything.

Phase 1: Map the landscape (1–2 weeks)

We inventory your systems — not just the official ones, but the shadow IT, the spreadsheets, the Access databases, the scripts running on someone's desktop. We document what data lives where, how it flows between systems, and where it gets stuck, duplicated, or lost.

We also talk to the people who actually use these systems. They know things that no architecture diagram will tell you: which workarounds are critical, which integrations are held together by habit, which reports are wrong but nobody notices because everyone manually adjusts the numbers.

The output is an integration map — a clear picture of your current state with the pain points highlighted and prioritized.

Phase 2: Design the connections (1–2 weeks)

Based on the map, we design the target state. This isn't a fantasy architecture — it's a realistic plan that accounts for your existing systems, your team's capacity, and your budget. We define which integrations to build first (highest pain, lowest risk), what the technical approach is for each, and how we'll validate that things work.

We're explicit about what we're not changing. Half the value of this phase is deciding what to leave alone.

Phase 3: Build and connect (4–12 weeks)

We build the integrations in order of priority. Each one follows the same pattern: build, test with real data, run in parallel with the manual process, validate, then switch over. Nobody wakes up one morning to find their workflow changed without warning.

We do this iteratively. After each integration goes live, we check: is it working? Is it faster? Is the data correct? Are there edge cases we missed? Then we move to the next one.

Phase 4: Stabilize and hand over

Once the integrations are running, we monitor them. Data pipelines have a way of being fine for three weeks and then breaking when someone enters an unexpected character in a field or a system gets updated. We stick around long enough to catch those issues and build in proper error handling.

Then we hand over: documentation, runbooks, monitoring dashboards, and a clear explanation of what each integration does and how to fix it when something goes wrong.

What this looks like in practice

A few patterns we see repeatedly:

"Our ERP has the data, but nobody can get to it."

The ERP is the system of record, but getting information out requires running reports, exporting files, or asking someone who knows the right transaction codes. We build an API layer so other applications — dashboards, portals, automation tools — can access what they need directly.

"We have three systems that should agree, but they don't."

Customer data in the CRM doesn't match the billing system. Product information in the catalog is different from what's in the ERP. Order status on the customer portal is 24 hours behind reality. We build synchronization that keeps these systems consistent and alerts when they drift.

"This one process is killing us."

There's always one workflow that everyone hates. It involves four systems, two manual handoffs, an email approval, and a spreadsheet that ties it all together. We automate that specific workflow end to end — not by replacing the systems, but by building the glue between them.

"We need to get off this legacy system, but we can't just turn it off."

The system is old, unsupported, or expensive to maintain — but it's too embedded to replace overnight. We wrap it with modern services, migrate functionality gradually, and give you an exit path that doesn't require a big bang.

What we work with

We're not tied to any specific vendor ecosystem. Here's what we commonly integrate with:

ERP & business systems: SAP (various modules and versions), Microsoft Dynamics, custom-built ERP systems, industry-specific business software.

CRM & customer platforms: Salesforce, HubSpot, Microsoft Dynamics CRM, Zoho, custom customer databases.

Document & content management: SharePoint, Confluence, custom document management systems, file-based archives.

Data & reporting: PostgreSQL, SQL Server, Oracle, data warehouses, BI tools, custom reporting databases.

Communication & workflow: Email systems (Exchange, Gmail), ticketing platforms, approval workflows, notification services.

Cloud services: Azure, AWS, Google Cloud — we work with whatever you're on and don't push you to switch.

If your system isn't on this list, that doesn't mean we can't work with it. If it has an API, a database, a file interface, or even just a predictable export format, we can usually find a way in. We've connected to things that surprised even us.

Who this is for

This fits well when:

You're spending real hours every week on manual data transfer between systems
Your data is inconsistent across platforms and you can't tell which version is correct
You've been told you need to replace a core system but you're not sure you can afford the risk
You have a critical workflow that depends on one person's knowledge of three different tools
You're growing and the manual processes that worked at half your size are starting to break

It's less of a fit when:

You're a startup with two or three SaaS tools that already integrate natively — you probably don't have an integration problem yet
You want to replace all your systems at once with a single platform — that's a different kind of project, and honestly, we'd want to talk you through the risks before taking it on

What clients ask us

Can you integrate with [system we've never heard of]?

Probably. We've worked with a lot of enterprise software, including niche and industry-specific tools. If it stores data in a way that's accessible — API, database, file export — we can work with it. If it's a completely closed system with no way to get data out, we'll tell you upfront.

How do you handle data quality issues?

This comes up in almost every integration project. When you connect two systems, you suddenly see all the inconsistencies that were invisible before — duplicate records, missing fields, contradictory data. We address this as part of the project: data cleansing, deduplication rules, validation, and default handling. It's not glamorous work, but it's essential.

What about data security and access control?

Every integration we build has proper authentication and authorization. We don't build open pipes — we build connections that respect your existing access controls and add new ones where needed. Data in transit is encrypted. Credentials are managed through proper secrets management, not config files.

Will this disrupt our current operations?

We go out of our way to avoid this. New integrations run in parallel with existing processes until they're validated. Migrations happen gradually. We never flip a switch that turns off the old way before the new way is proven. The goal is that your team barely notices the transition — things just start working better.

What does maintenance look like?

Integrations aren't set-and-forget. Systems get updated, data formats change, APIs evolve. We build monitoring and alerting into every integration so you know when something needs attention. We can either hand this over to your team or include it in an ongoing support arrangement.

Get a detailed quote

Tell us which systems need to talk to each other, and where the manual work is piling up. We'll come back with a concrete integration plan.