Example AI Solution

Document Automation for Airport Billing Data

A custom workflow application built for a busy domestic airport to transform complex billing source data into clean, reliable Yardi import files.

Custom Workflow Solution

From manual spreadsheet work to a clean SaaS workflow

The customer uses Yardi for invoice generation, but the data required for that process arrives from several different sources, including utility companies, water, power, parking and aircraft movement data.

Before the application, staff needed to sort, clean, validate and manipulate this data manually before creating the export ETL file required for Yardi import. The process depended on complex Excel formulas, careful checking and significant user effort.

Multiple data sources

Billing inputs arrived from different companies and operational systems, each with its own format, timing and quality issues.

Manual processing risk

Spreadsheet-heavy preparation consumed time and introduced the risk of formula errors, missed steps and inconsistent outputs.

Yardi-ready exports

The required outcome was a clean ETL export file that could be confidently imported into Yardi for invoice generation.

The Solution

A custom Python-hosted SaaS application

We delivered a clean, easy-to-use web application that guides users through the document automation workflow. Python was selected because of its strong spreadsheet processing libraries, flexibility and ability to handle complex data transformation reliably.

The application takes the source files, applies the required cleaning and transformation logic, and produces a consistent Yardi-ready output. Instead of staff maintaining complicated spreadsheets, the business now has a repeatable workflow with fewer manual touchpoints.

Less spreadsheet complexity

Reduces reliance on complex Excel formulas and manual manipulation.

Lower user error

Standardises the process so outputs are more consistent and dependable.

Why This Matters

A practical example of AI-enabled delivery

AI was used during the creation of the application to accelerate development, support problem solving and reduce delivery time. The final product is not simply an AI chatbot. It is a focused business workflow that solves a specific operational problem.

This is often where meaningful AI value begins: not by replacing the business process with a generic assistant, but by understanding the work, automating the repeatable steps and creating a foundation that can be extended later.

Future pathway

Because the workflow is now structured inside an application, it creates a gateway for future AI APIs if the business later wants document interpretation, anomaly detection, validation assistance or intelligent exception handling.

Have a process that depends on manual files, formulas or repeated checks?

This type of solution is ideal when a business process is important, repeatable and currently held together by manual effort.

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