Mastering Decision Orchestration - Denis Gagne
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The document discusses mastering decision orchestration by integrating human insight and AI automation to enhance business decision-making. It emphasizes the importance of a decision-centric organizational culture, the role of AI in decision processes, and the need for human oversight in ensuring ethical and contextual decisions. It outlines various models and methodologies for effective decision-making while addressing the challenges of AI implementation and the significance of explainability in business choices.
Mastering Decision Orchestration - Denis Gagne
- 1. Mastering Decision Orchestration Leading the Decision Automation Revolution Balancing Human Insight and AI Automation for Justifiable, Context-Aware Business Choices
- 2. Trisotech.com Business Decisions Every business action is fundamentally rooted in a Business Decision. The ability to make informed, timely, and effective decisions directly impacts a company's ability to innovate, grow, and remain competitive.
- 3. Trisotech.com The need for Decision-Centric Organizations Ultimately, the cumulative impact of well-made decisions across all areas drives Business Success. Businesses that prioritize decision-making are better equipped to navigate complexities, seize opportunities, and create lasting value. Repeated poor business decisions will sink any enterprise.
- 4. Trisotech.com Decision-Centric Organizations place decision-making at the heart of its operations, culture, and strategy. Every aspect of the business, whether it is people, process, or technology, is designed to support, enhance, and optimize Business Decision-Making.
- 5. Trisotech.com Leveraging diverse decision-making approaches can create a robust Business Decision-Making Ecosystem that not only optimizes outcomes but also drives innovation, efficiency, and long-term success.
- 6. Trisotech.com The need for Orchestration Orchestration refers to the end-to-end coordinated management and execution of complex processes, cases, or workflows across multiple people, systems, tools, or services.
- 7. Trisotech.com The need for an End-to-End Perspective Orchestration involves automating not just individual tasks, but the entire end-to-end set of required tasks to reach a desired outcome, ensuring that they happen in the right order, at the right time, and with the correct data and resources.
- 8. Trisotech.com Decision Centric Orchestration involves coordinating and managing various processes, systems, data, and people within an organization to optimize end-to-end business decision-making. Ensures that every decision made within the organization is informed, timely, and aligned with business objectives by orchestrating the right resources and tools while making business decisions.
- 9. Trisotech.com Dynamic Business Environment Business Decision Making has evolved into a complex process that requires human intuition and advanced tooling. How can businesses leverage the synergy between human, tooling and AI to achieve optimal outcomes.
- 10. Trisotech.com Embedding AI into the Flow of Work The integration of AI should be seamless, with AI capabilities appearing as natural extensions of existing tasks rather than separate, complex systems to be learned.
- 11. Trisotech.com The Purpose of Decision-Centric Orchestration Enable enterprises to make great, effective, efficient, secure, explainable, justifiable, end to end, contextualized, aligned business decisions by leveraging human business understanding and intuition with the power of automation and AI.
- 12. Trisotech.com The Role of AI in Decision-Centric Orchestration AI introduces capabilities that can enhance the business decision making process. Various forms of AI can be put to contribution.
- 13. Trisotech.com Generative AI (GenAI) Various Forms of AI Machine Learning (ML) Deep Learning (DL) Expert Systems Fuzzy Logic Neural Networks Reinforcement Learning Evolutionary Algorithms Bayesian Networks Recommender Systems Predictive Analytics Genetic Algorithms Constraint Satisfaction Multi-Agent Systems Rule Based Systems
- 14. Trisotech.com Chat-Centric AI Applications One of the main driver of current business AI applications: Chat with a Foundation Model Chat with a Document Chat with Product Documentation Chat with your Software Chat with everything…. The advent of free-form conversational interfaces.
- 15. Trisotech.com A UI/UX Revolution, Not an AI Revolution The real GenAI Revolution lies in how we interact with software via AI. Making technology more natural and integrated into daily workflows.
- 16. Trisotech.com The History of UX/UI Punch Cards and Ribbons (1940s-1970s) Interaction with machines was mechanical and rigid. Green Screens (1970s-1980s) User interaction began to shift from hardware to software. Point-and-Click Interfaces (1980s-Present) Usability and user experience became central, lowering the barrier to entry. Natural Language Interfaces (Present-Future) Communicate with software as if we were communicating with a human image: Flaticon.com
- 17. Trisotech.com Do not blindly use GenAI for every Business Problems The value of GenAI as a generator of information is unquestionable. However, their probabilistic nondeterminism limits their use cases.
- 18. Trisotech.com
- 19. Trisotech.com Automating Decisions directly from Document Source In our experience: Most Guidelines and Procedures documented in natural language contain gaps and incoherences, sometimes even contradictions. All Laws and Regulations leave room to interpretation by design. Do you really want to automate gaps and contradictions? Do you really want an AI to make judgement or interpretations that you will be liable for?
- 20. Trisotech.com More than 80% of AI projects fail Root causes: Misunderstanding what problem needs to be solved using AI. Organization lacks the necessary data to train an effective model. Organization focuses more on using the latest technology than solving the problem. Not adequate infrastructure to manage their data and deploy AI models. The technology is applied to problems that are too difficult for AI to solve. Recommendation: Focus on the problem, not the technology https://www.rand.org/content/dam/rand/pubs/research_reports/RRA2600/RRA2680-1/RAND_RRA2680-1.pdf
- 21. Trisotech.com The Age of Artificial Augmented Intelligence We are in the era of Augmented Intelligence, where AI doesn't replace humans but enhances our capabilities. Team up with AI on tasks and decisions. Integrate AI everywhere where it adds value.
- 22. Trisotech.com The Imperative of Human Oversight in Business Decision- Making Human oversight remains indispensable in decision-making. Humans bring ethical judgment, empathy, and strategic vision that machines cannot replicate. Human oversight ensures alignment with organizational values, ethical standards, and long-term objectives.
- 23. Trisotech.com Human-AI Collaboration Enhances Decision-Making Combining Strengths o Human Strengths: Humans bring intuition, creativity, and contextual understanding that AI lacks. o AI's Strengths: AI excels at processing vast amounts of data, identifying patterns, and making data-driven predictions. Maintaining Human Oversight o Ethical Considerations: In regulated industries, human oversight ensures ethical standards are maintained and that decisions align with societal values. o Accountability: Humans remain accountable for decisions, which is crucial in legal and regulatory contexts where AI alone cannot be held responsible.
- 24. Trisotech.com A Myriad of Daily Business Decisions Financial Decisions Risk Management Innovation and R&D Decisions Customer-Centric Decisions Human Capital Decisions Technology and Digital Transformation Decisions Ethical and Social Responsibility Decisions Etc.
- 25. Trisotech.com Various discipline’s approaches to Business Decision Making Decision Models Optimization Models Systems Models Predictive Models Emotional Models Cost-Benefit Models Systems Engineering: Psychology: Promotes a holistic approach to decision- making through systems dynamics, which considers the interactions and feedback loops within complex systems. Utilizes predictive models that consider human biases and various heuristics to forecast human behavior and optimize decisions. Behavioral Science: Integrates cognitive and emotional models to account for human biases and heuristics in decision-making. Focuses on mathematical models leveraging linear and nonlinear programming techniques to improve resource allocation and logistics. Applies cost-benefit analysis and market simulations to evaluate the economic impact of business decisions. Computer Science: Leverages rule-based systems and machine learning to automate consistent and data- driven decision- making processes. Operations Research: Economics:
- 26. Trisotech.com Decision-Making Continuum Human- Based Decisions Assisted Decision- Making Augmente d Decision- Making Semi- Automated Decision- Making Fully Automated Decision- Making Decisions are made entirely by humans, based on experience, intuition, and judgment Decisions are made entirely by algorithms or AI systems without human intervention, often in real-time Humans still make the final decision but are heavily guided by system driven guidance Canvases Attended decisions and tasks
- 27. Trisotech.com Business Decision Playbooks Typically includes a series of steps, decision criteria, key considerations, and roles and responsibilities to ensure consistent, informed, and efficient decision-making. Used to reduce uncertainty and align decisions with strategic goals. They can be particularly useful in complex environments where decisions need to be made quickly and consistently by different teams or individuals. A structured guide or framework that outlines the processes, criteria, and best practices for making decisions within an organization.
- 28. Trisotech.com Automating Business Decision Playbooks Engineering business decisions and Orchestrating AI tools with human oversight into existing workflows ensuring careful alignment with current processes to enhance efficiency without disrupting operations. Orchestrating business decisions by injecting the right kind of AI at the right time within the workflows of your knowledge workers.
- 29. Trisotech.com Engineering Business Decisions Precision Transparency Traceability Flexibility Reusability Explainability With a focus on transparency and ethical decision-making.
- 30. Trisotech.com Strategy to Operation, Inside-Out and Outside-In Strategy Operations Outside-In Inside-Out
- 31. Trisotech.com Strategy to Operation Creative Thinking Critical Thinking Operation Canvases Brainstorm Models Analysis Strategy from strategy to operations
- 32. Trisotech.com Strategy Creative Thinking Generative AI Canvases Brainstorm Strategy Can support creative thinking by augmenting human creativity with its ability to generate new ideas, explore vast possibilities, and provide unique perspectives.
- 33. SWOT Example
- 34. SWOT Example
- 35. Trisotech.com Operation Critical Thinking Operation Models Analysis Symbolic Decisions By providing a structured and transparent approach to decision- making, symbolic-based decision can enhance critical thinking skills, enabling individuals to make more informed, logical, and unbiased decisions.
- 37. Trisotech.com Decision Table capturing the Decision Logic
- 38. Trisotech.com Inside-Out, Outside-In Value to the Customer Outside-In Inside-Out Value to the Organization outside-in and inside-out
- 39. Trisotech.com Outside-In Value to the Customer Outside In Generative AI Delivering value to the customer by enabling businesses to gain deeper insights into customer needs, preferences, and behaviors, and by helping create more personalized and relevant experiences.
- 40. Trisotech.com Inside-Out Inside-Out Value to the Organization Symbolic Decisions Can enhance organization’s operational efficiency, reduce risks, and maintain high standards of quality and compliance.
- 41. Trisotech.com Deciding Thinking Analyzing the Context Thinking for Deciding Selecting between options
- 42. Trisotech.com When Deciding, Context is King Everything The Past The Future Now Potential Outcomes Previous Decisions helps you make decisions in context
- 43. Trisotech.com Business Context Business Facts o Past or present observations that are supported by data. Business Values o Fundamental and indistinctly important to the organization. They help guide priorities and judgement. Ensures desired bias.
- 44. Trisotech.com The Necessity of Explainable and Justifiable Business Decisions Transparency and accountability are fundamental in business decision-making. Explainable focuses on facts. Justifiable focuses on judgment.
- 45. Trisotech.com Contextual Nuance Humans can consider the broader context of a decision, including cultural, social, and emotional factors that AI might miss. It ensures that decisions are not only data-driven but also contextually appropriate.
- 46. Trisotech.com From Data to a Knowledge Context Data Decision Centric Orchestration Computable Data Aggregated Data Data Automation Information Automation Orchestration of knowledge Workflow and Decision Automation Data in context + Common schema + Metadata + Context + Events awareness + Tasks and activities + Roles and responsibilities + Case management + Event orchestration + AI and ML + Decision Trisotech delivers knowledge orchestration in support of decisions
- 47. Trisotech.com Predictive AI Customer Data Generative AI A Decision-Centric Orchestration Reference Architecture System of Engagement System of Insight System of Records Service API Widget CSS Scripts Data Connector Events Symbolic AI PMML Workflow Automation Case Automation Service API Chat Customer UX AI Models Decision Orchestration Layer
- 48. Trisotech.com Knowledge Worker Assistant Takes care of interaction, collaboration and coordination of meaningful business events in a specified business contract context. See Intelligent Digital Assistance for Contract Workflows presentation with Tom DeBevoise Uses just in time adaptive composition inferred from context and previous actions.
- 49. Trisotech.com Conclusion Mastering decision orchestration involves striking a harmonious balance between human insight and AI automation. By understanding the spectrum of organizational decisions and leveraging various AI tools, businesses can enhance their decision-making capabilities. Incorporating contextual information, emphasizing explainable and justifiable decisions, and maintaining human oversight are critical to navigating the complexities of the modern business landscape.
- 50. Trisotech.com Trisotech Decision Centric Orchestration 1. Decision Centric: business value creation comes from business decisions. 2. Outcome Driven Orchestration : coordinate any resources or endpoints using processes, workflows, and cases. 3. Decision Intelligence: semantic knowledge graph based. 4. Drag and Drop Composability: reuse by reference or by copy. 5. Business Digital Twin: the Who, What, When, Where, Why, and How of your business. 6. Contextualized: from strategy to operations, Outside-in and Inside-out. 7. Low-code, No-code, Pro-code: Intuitive to business, expressive for IT. 8. Model Driven: The model is the requirement, the documentation, and the execution code. 9. Visual Driven: Visual notations readable by both humans and machines. 10. Standard Based: Open Standards ensure no vendor lock-in. 11. API First: Exposed as services. 12. Containerized: Rapidly deployed and scaled. 13. Security built-in not bolt-on: Confidentiality, integrity, availability, authentication, authorization. 14. Integrate Anything : Data, documents, events, services, or legacy systems. 15. Headless First: Exposed via customer frontend or dynamic UI generation. 16. Stateful or Stateless: Manual, Augmented, or Automated applications. 17. Decentralized: Multichannel interactions (no central login or task list). 18. Leveraging AI: From specialized tasks to interaction modalities. 19. Flexible Interaction Modalities: Widget Interaction, contextual (current history, focus or RAG) chat, talk/voice.