Cut dispatch planning from three hours to twenty minutes
A regional courier planned every route by hand each morning, delaying the first pickups.
- 1,400 hrs/yr saved
- On-time rate up 12 pts
CloseStack is a reconciliation pipeline that pulls transaction data from five separate systems on a schedule, matches it against a defined rule set, and surfaces only the exceptions a human actually needs to review — with every figure keeping an audit trail back to its source system.
Month-end close meant pulling numbers out of five different systems into one fragile spreadsheet, reconciling them by hand, and hoping nothing in the source systems changed while the file was still open. That's manageable when every account behaves. It breaks down the moment one system has a delayed sync or a duplicate entry, because there was no way to tell which of five hand-copied numbers was actually wrong.
We built a pipeline that reconciles continuously instead of once a month:
The easy version of this keeps the spreadsheet as the system of record and just automates the copy-paste step into it — it's the smallest possible change and the fastest to ship. It also keeps the actual risk in place: a spreadsheet has no audit trail, so a wrong number is indistinguishable from a right one once it's pasted in. We built a proper reconciliation pipeline with the audit trail as a first-class feature instead, which took longer to build but means every number in the close can be traced back to the system it came from — the thing an auditor actually asks for.
Workflow orchestration schedules the pulls, a rules engine performs the matching, and a dedicated database stores reconciled records with their full audit trail.
Have a process that looks like this one? We'll map it and tell you what automating it would cost.
Start a projectAn operator ran their whole service business on paper job sheets and phone calls.
A regional courier planned every route by hand each morning, delaying the first pickups.
Patient enquiries arrived around the clock but were only triaged once staff logged in.
A staffing firm's consultants spent mornings researching prospects instead of speaking to them.
We'll map the work, tell you honestly whether it's worth automating, and scope it before anything is built.