Outcome
Cut error rates
Fewer corrections downstream, because the cause was fixed upstream.
- Case studies
- 8
- Sectors
- 13
- Products
- 32
What this has moved
Measured on engagements built from this work, with the method shown in each case study.
- 7sister companies in one routineLuxury fashion · Italy · part of a global luxury group, seven sister companies in the process
- 97%of documents need no correctionAccounting firm · Bulgaria · 10-15 staff, books kept for 100+ client companies
- 600invoices booked in a single monthly runAccounting firm · Bulgaria · books for an international data centre and hosting provider
Our work
What the work runs on
The products these engagements were built on, most used first.
Ways to start here
Fixed-scope engagements we have run against exactly this kind of problem.
Diagnostic
Process Mining Diagnostic
Six weeks of event-log evidence answering where the cost actually sits, often upstream of the process you were told to fix.
Fixed scopeDuration: 6 weeks
Rescue
Automation Rescue
Two weeks to audit an inherited bot estate that keeps breaking, stabilise the worst of it, and tell you what is worth keeping.
Fixed scopeDuration: 2 weeks
Services that deliver it
The capabilities behind the engagements on this page.
- Data & AIModels, agents and extraction pipelines that go live with a measured baseline, an evaluation set and a path to a person for the hard cases.
- Software EngineeringCustom software for the part of the process no platform covers, with tests, documented contracts and a proper handover.
- AI-Powered Document ProcessingTransform your document workflows with high-accuracy extraction built on modern AI and OCR.
- Process Analytics & MonitoringReal-time performance insights and process mining for continuous improvement.
- ERP/CRM IntegrationSystem integration and synchronization for unified business operations.
- Integration EngineeringThe interfaces between systems, treated as products with owners, versions and error contracts.
- Quality & Test AutomationRegression coverage for the processes you cannot afford to have break silently.
How we see it
Most errors are not typing mistakes. They come from a rule that lives in someone's head, a field that means different things in two systems, or a document format that changed without anyone noticing. Correcting them downstream costs more every month than fixing the cause once.
We make the rules explicit and testable, validate inputs before anything is posted, and send whatever falls below the confidence threshold to a person instead of guessing. We count corrections before and after, so the improvement is a number rather than an impression.
Talk to us
Tell us where this has to happen, and we will tell you what it would take.
Not a proposal: a read on whether the process you have in mind is worth automating at all, what it costs, and where it usually goes wrong.
8 case studies










