The problem
Organisations that outgrow spreadsheets start losing time confirming versions, cross-referencing data from several sources by hand and finding errors late. Generic software rarely adapts to the real process, and adapting it ends up creating more manual work around it.
The approach
We build the system around the existing process and evolve it in phases, with continuous validation by the people who use it.
- Core first, phases after — critical functions go live first; the rest follows, validated phase by phase.
- Applied AI — in data handling and decision support (cross-checking and preparing data, anticipating trends), always with explicit rules and human validation.
Core capabilities
- Reference information in one place — customers, suppliers and products managed without duplicates or divergent versions.
- Approval flows and internal processes — every step of the process is recorded, with owners and dates.
- Data import and reconciliation — files in different formats handled with explicit rules and human validation.
- Reports and indicators — dashboards updated from the system’s own data, without manual rebuilding.
- Automation of repetitive tasks — recurring manual work run automatically, with oversight where needed.
- Integration with existing systems — data exchange with accounting, ERP or other applications already in use.
- Change log and audit — every change is recorded field by field, in a log where any later tampering is detectable.
Applies to organisations of any sector and size with data from several sources to manage.
An example
In a company that works with several trading partners, the files the partners sent arrived in different formats and with codes that did not match between systems. We built a platform that imports those files, matches the codes and validates every result against the reference information.
For the technical team
- Master-data model with a single source of truth and version history
- Configurable approval-flow engine per process
- File import (CSV, Excel, XML, JSON) with AI-assisted column mapping, validated against the schema before acceptance
- Configurable reconciliation and deduplication engine (exact and partial matching)
- Configurable reports and indicators, including BI dashboards
- Process automation (RPA) with configurable human oversight
- Integration with external systems via REST API, webhooks or files
- Append-only, hash-chained audit log with per-field change history