How long do you spend explaining the figures before you can decide?
The report brings together four complementary views of performance. Each piece of information retains its source, definition and purpose in the decision.
By bringing together HR, sales, operational and financial data, Mission & Data automates checks, flags anomalies and highlights unnecessary spending. Your teams spend less time collecting and checking figures, and more time on budget optimisation.
Your data, connected and up to date.
Your budgets, contracts and invoices reconciled.
Your teams approve the actions.
Your existing software stays in place. Mission & Data collects authorised data, reconciles it using your rules and delivers metrics you can trace back to their sources and calculations.
The report brings together four complementary views of performance. Each piece of information retains its source, definition and purpose in the decision.
Mission & Data organises the entire data journey. Your teams can see what comes in, what is checked, what is calculated and what is ready to support a decision.
Retrieve authorised data from your software, files and databases.
APIs · exports · internal databasesClean, standardise and reconcile information using your rules.
Python · T‑SQLCalculate KPIs, identify trends and forecast different scenarios.
OLAP · machine learning · data miningRefresh dashboards and prepare the information needed for your business review.
BI · decision briefYour tools keep their specialist roles. The hub provides a common language for comparing their data : the same entities, reporting periods and business definitions.
Definitions · identifiers · periods · sources · access rights
Each tool can be accurate within its own scope without revealing a commitment missing from the budget, an invoice above the contracted amount or a cost assigned to the wrong project. Connecting these records helps you act before the variance only comes to light at period-end.

The copilot cross-checks budgets, contracts, invoices, payments, HR costs and project costs to explain variances and support your decisions. Source-backed analysis helps your teams focus their checks, compare possible actions and track their impact on the budget.
In this example, a €1,200 maintenance invoice exceeds the contracted monthly fee of €1,000 by €200. All amounts exclude VAT.
Access rights, logging, hosting and approvals are agreed with you. A fully on-premises architecture can keep the database, processing and AI model within your company’s infrastructure.
Data can stay on a server controlled by your company, without calls to an external AI provider.
Each user and agent can only access authorised sources, fields and reporting periods.
Sources, rules, versions and exceptions remain available so you can understand each KPI.
A suggestion never automatically becomes an accounting entry or a decision.
That report becomes the starting point for mapping sources, defining rules and measuring what automation can actually save.