The document discusses the concept of AI-augmented Business Process Management Systems (ABPMS), which are designed to continuously improve business processes utilizing trustworthy AI technology. It highlights the properties of such systems, including their ability to act independently, adapt to environmental changes, and provide explanations for their actions. The document emphasizes the importance of strategic alignment, incremental adoption, and foundational success stories in implementing these capabilities effectively.

1. AAAI Bridge Program: AI for BPM - January 7, 2023

7. https://github.com/AutomatedProcessImprovement/Simod

9. +/- -
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11. Given
• one or more event logs recording the execution
of one or more processes
• one or more performance measures that we
seek to maximize/minimize
• a process model, decision rules and resource
allocation rules
• a set of allowed changes to the process model
and associated rules
Find
• Possible sets of changes to the process to
optimize the performance measures

16. Conversational Process Optimization
Data-Driven
Process Optimizer
Business Process
Knowledge Base
Enterprise System Conversational UI

18. Augmented BPM System
An ABPMS is a process-aware
information system that relies on
trustworthy AI technology to reason and
act upon data, within a set of restrictions,
with the aim to continuously adapt and
improve a set of business processes with
respect to one or more performance
indicators.
AI-Augmented Business Process Management Systems:
A Research Manifesto
9

19. Properties of an ABPMS
• Acts independently and proactively within a frame;
Framed-Autonomous
• Seamlessly interacts with agents whenever necessary
Conversationally Sctionable
• Reacts to changes in its environment
Adaptive
• Observes the effect of its actions and adjusts future actions to seek
optimal achievement of its goals
Self-improving
• Able to explain its actions to human agents.
Explainable

20. Augmented BPM System

21. Want to know more?

22. AI-Augmented BPM: Why now?
Timing could not be any better:
• Process mining is a mature capability yet a rapidly growing market
• ML has matured and proved value in the B2C space, but is yet to take off in
the process optimization space
• Thousand of orgs have already reached Level 1 in the pyramid, ready to
adopt Level 2+

23. • Lay the foundations, start climbing, keep climbing, don't hold off
Getting the data for process mining is often a challenge.
But there are both short-term benefits (bottom of the pyramid) and long-term ones
(predictive, prescriptive, conversational process optimization)
• Don't skip the layers
The lower layers of the pyramid provide a foundation to derive business value from the upper
layers.
• Align strategically and build governance incrementally
Apply the capabilities in the pyramid first and foremost to business processes that matter to
the organization.
Adopt these capabilities incrementally, one process at a time.
Build success stories internally, ensuring each layer of the pyramid produces tangible value.