The talk will go through problems with legacy Enterprise systems that are built with awesome reporting modules, but without solutions to correctly collect and use data generated in everyday collaborative workflow and decision making process. After that some solutions will be presented for proper data collection of currently uncollected or badly collected data. And finally the current and future use of that data in combination with AI to improve and automate decision making process.

2. Who the F am I ?
Engineering Art Hacks
Entrepreneur-
ship

3. Mission
Removal of useless operational work from Enterprise
companies through automation and increase in transparency
using state-of-the-art technology

4. What is a business process ?
Recruitment
Product
Development
Cycle
Support

5. Recruitment process
Application
received
Test passed
Invited to an
interview
Accepted

6. Product development cycle
NEW IN PROGRESS DONE

7. Support process
Ticket
received
Working Closed

8. What about data ?
Internal Flows External Flows

9. Internal Flows
Tasks Chats Meetings

10. Internal Flows
Tasks Chats Meetings
We control it

11. External Flows
API EDI Email

12. External Flows
API EDI Email
We integrate it

13. The most common problems
Duplication Storage Usage

14. Business process types from data perspective
Collaborative Quantitative

15. Collaborative processes and AI
Task
Delegation
Predicting
Errors and
Delays
Agents

16. Quantitative processes and AI
Predictive
Analytics
Pattern
Recognition

17. Real life examples and the future
assortment.ai