System Integration
Your Systems Do Not Talk to Each Other. Your Team Is the Integration Layer.
Every time someone copies data from one system and pastes it into another, that is not a process. That is a workaround. We build the connections between your systems so data flows automatically, accurately, and without someone sitting in the middle making it happen.
People Are the Data Pipeline
Someone exports a CSV from one system, reformats it, and imports it into another. Every day. Every week. Every month-end. If that person is out, the pipeline stops.
When data moves manually between systems, mistakes happen. A wrong GL code. A missing transaction. A duplicated entry. You do not find out until the reconciliation fails and someone has to go hunting.
Errors Are Invisible Until Month-End
New Tools Cannot Reach Old Data
You bought modern software for AP, or reporting, or workflow management. But the data it needs lives in a system that was not designed to share it. So someone moves it by hand.
Legacy Systems Were Not Built to Connect
A legacy system was built before APIs existed. It works, but it does not connect to anything modern. So your team has built an entire layer of manual workarounds around it just to move data where it needs to go.
You have systems. They each do their job. But nothing connects them. So your team connects them manually, every day, and hopes nothing falls through the cracks.
This Is What "Integration" Looks Like at Most Organizations.
This Is What "Integration" Looks Like at Most Organizations.
You have systems. They each do their job. But nothing connects them. So your team connects them manually, every day, and hopes nothing falls through the cracks.
People Are the Data Pipeline
Someone exports a CSV from one system, reformats it, and imports it into another. Every day. Every week. Every month-end. If that person is out, the pipeline stops.
Legacy Systems Were Not Built to Connect
A legacy system was built before APIs existed. It works, but it does not connect to anything modern. So your team has built an entire layer of manual workarounds around it just to move data where it needs to go.
New Tools Cannot Reach Old Data
You bought modern software for AP, or reporting, or workflow management. But the data it needs lives in a system that was not designed to share it. So someone moves it by hand.
Errors Are Invisible Until Month-End
When data moves manually between systems, mistakes happen. A wrong GL code. A missing transaction. A duplicated entry. You do not find out until the reconciliation fails and someone has to go hunting.
You Do Not Have to Replace Everything to Make Things Work.
Sometimes the right answer is a full system upgrade. But that is a major decision with major risk, and it should not be the first move. Before you commit to replacing your ERP or overhauling your financial stack, there is a faster path: connect what you already have.
Most organizations can get significant improvements by building integrations between their current systems. Automate the data transfers. Eliminate the manual reformatting. Get the pipeline working reliably. Once your data flows cleanly, you are in a much better position to evaluate whether an upgrade is worth it, because you actually understand what your systems need to do.
We start by making your current environment work better. If that leads to a conversation about upgrading, you will make that decision with real data instead of frustration.
Format Translation and Mapping
Your AP platform exports JSON. Your ERP expects fixed-width flat files. Your reporting tool needs a specific CSV layout. We handle the translation layer so each system gets data in the format it expects without anyone reformatting spreadsheets.
Multi-Entity Data Consolidation
When you have multiple entities, each with their own systems and data formats, consolidation becomes its own project. We build pipelines that pull from multiple sources, normalize the data, and deliver it in a format your reporting or GL system can consume.
Legacy ERP Connectivity
Your ERP does not have an API. That does not mean it cannot be integrated. We build RPA bots, file-based integrations, and screen-level automations that move data in and out of legacy systems reliably. If your team can interact with it, we can automate it.
One-Way and Two-Way Data Flows
Not every integration needs to be real-time or bidirectional. Sometimes the right answer is a scheduled export that posts journal entries to your GL overnight. Sometimes it is a live sync. We design the data flow that matches what the process actually needs, not what sounds impressive.
Integrations Built for the Systems You Actually Have.
We start by connecting what you have. Every integration is custom-built for your specific technology stack, data formats, and security requirements.
We built a complete integration between a modern AP platform and a legacy mainframe GL system for a multi-entity family office. Invoices flow from capture to GL posting without manual keying.
Every Integration Starts with the Same Question: What Does the Data Need to Do?
1. Map the Data Flow
Before we write any code, we document exactly where data lives today, where it needs to go, what format each system expects, and what happens when something goes wrong. We trace the full path from source to destination, including every manual step your team currently performs.
3. Build and Test in Cycles
We build iteratively. First a dry run with sample data. Then a dry run with real data. Then a parallel run alongside your current manual process. We do not flip the switch until the numbers tie and you are confident.
2. Design the Pipeline
We design the integration architecture: what triggers the data transfer, how often it runs, what validation checks happen along the way, what the error handling looks like, and how you monitor it. Every pipeline has logging and audit trails built in from the start.
4. Deploy and Hand Off
The integration runs on your infrastructure. We document every component, train your team on monitoring and troubleshooting, and hand over full ownership. If something breaks at 2am, your team can diagnose it without calling us.
The Difference Between Manual and Automated.
Minutes, not hours
Data transfers that used to take a person hours of manual formatting now complete automatically in minutes. Every time. Without errors.
Drastically less manual entry
Transactions flow from source systems to your GL automatically. Your team handles exceptions, not routine data transfers.
Full audit trail
Every integration logs what was sent, when, and whether it was accepted. When something does not post correctly, you know immediately and you know exactly why.
Runs without you
Integrations operate on a schedule or trigger automatically. Your team monitors exceptions instead of executing transfers. The process works whether someone is watching or not.
System integration is how we compress the close. When data flows automatically from source systems to your GL, the manual bottlenecks disappear.
Learn more about Close Acceleration ⟶
Everything Runs on Your Network
Every integration we build lives on your infrastructure. We use tools your team can maintain: Power Automate, scheduled scripts, RPA bots running on your machines. No third-party middleware in the cloud routing your financial data through someone else's servers.
This is not a philosophical preference. It is a requirement for organizations that take data governance seriously. Your transaction data, your vendor records, your GL postings stay on your network, governed by your security policies, visible only to your team.
✓ Automations run on your machines
✓ Built with tools your team already knows
✓ No third-party cloud middleware
✓ Full ownership of all code and configurations
We learn before we build.
1. DIAGNOSTIC
We start by mapping your current AP process end-to-end. Every handoff, every bottleneck, every workaround your team invented because the system would not cooperate. We document the real process, not the one in your SOP binder.
2. DESIGN + BUILD
We design the platform around your workflow, not the other way around. Entity structure, approval chains, GL mapping, payment methods, vendor defaults. Everything is configured to match how your team actually works. Then we build it on your infrastructure.
3. DEPLOY + PROVE
We start with a pilot. One entity, controlled vendor set, parallel processing. We prove it works before we scale it. No big-bang rollouts. No surprises.