Your close shouldn't take two weeks to reconcile.
Finance teams run on a combination of ERP exports, spreadsheet models, and manual reconciliation steps that no one has time to replace. When the monthly close takes longer than it should, the bottleneck is almost never the accounting. It is the data infrastructure around it.
Finance team capacity is consumed by data assembly, not analysis
The analytical capability exists. The problem is that every analysis project starts with a data collection and reconciliation project that consumes the time that should go to analysis.
These are infrastructure failures, not team capability failures. The right data pipelines eliminate the manual assembly and return capacity to the work that actually requires a finance professional.
Monthly close requires pulling data from multiple systems, reconciling differences, and building reports manually before any analysis can start. The close takes longer than it should because of the data infrastructure, not the accounting.
FP&A models live in spreadsheets that are rebuilt or refreshed manually each period. When an assumption changes, updating the model takes hours because the inputs aren't connected to live data.
Financial reporting for leadership and the board is assembled by hand before each meeting. The same reports are rebuilt each period from the same data sources with no automation between cycles.
Variance analysis and budget-vs-actual reporting requires pulling actuals from the ERP and budget data from a separate spreadsheet. The reconciliation step takes longer than the analysis itself.
Financial infrastructure that closes the manual steps
We build the data pipelines, reconciliation tools, and reporting infrastructure that eliminate the manual assembly work in the finance close cycle.
- Automated data pipelines that pull from ERP, payroll, and banking systems and reconcile the data before the close instead of during it
- FP&A model infrastructure that connects plan data to live actuals so budget-vs-actual analysis is always current without a manual refresh
- Financial reporting automation that generates the standard board and leadership reports from live data, not a pre-meeting manual build
- Variance and exception reporting that surfaces the numbers that need attention rather than requiring a full data review to find them
- Reconciliation tooling that matches transactions across systems automatically and flags exceptions for human review, rather than requiring manual comparison
- Custom financial dashboards for the metrics your leadership actually monitors, built as live views rather than scheduled exports
The goal is a finance operation where the data is always reconciled, the reports are always current, and close capacity goes to analysis rather than data assembly.
Start with the close. Build the reporting layer from there.
For finance teams, the monthly close is the highest-frequency, highest-cost manual process. It is also the best place to start because the value of automation is immediate and measurable.
- Audit the close process: we map every manual data pull, reconciliation step, and report build in the current close cycle before writing any code
- Scope to the highest-cost step: the manual data pull or reconciliation that consumes the most time becomes the first automation target
- Build and run in production: the pipeline runs on real data through a full close cycle before scope expands to adjacent steps
- Expand to reporting once the data foundation is clean: board reports, FP&A dashboards, and variance tools build on a data layer that's already trusted
No ERP replacement. No full financial stack overhaul. One manual step automated at a time, starting with the one that costs the most capacity.
Tell us where the close is losing time.
A 30-minute call is enough to identify the highest-cost manual step in your close cycle. We'll tell you what we'd build and what it would take to eliminate the manual data assembly.
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