The Business Challenge
The business situation the organisation faced before the project began.
Putting all the expenses details and categorizing them on the database manually can take some time. While putting out all details staff can get confused what was the last input and cause some wrong calculations. And also generating the report takes some time.
How the Solution Was Delivered
Discovery, design, development, testing and rollout — the journey, not the tooling.
- 1Planning the Design
- 2Developing the expense categorization
- 3Developing the Database
- 4Store the Data in the database
- 5Developing the generate report
- 6Developing the edit/delete data
Business Outcomes & Impact
The measurable outcomes from the underlying AI Deployment — with the story behind them.
Saved around 5-10 mins for each manual input of the expenses into the database. And minimizing the risks of inputting the wrong data by 100%.
Business Outcome Categories
The story behind the numbers
Much simpler to input all the expenses to the databases. And can see all the inputs in the telegram chatbot, therefore protecting yourself from inputing existing/wrong expense into the database.
Lessons Learned
What surprised the team, what worked well, and what would be done differently.
- Learned how to use AI API
- Learned how AI helps with optimizing the work for me as a programmer