Announcement PDF ASX Release 21 November 2025 Webinar Presentation - Sugarwork Acquisition Decidr AI Industries Ltd (ASX: DAI) (“DAI” or the “Company”) advises it will host an investor webinar today, 21 November 2025 at 11.15am (AEDT) to discuss the Sugarwork acquisition, including strategic fit and synergies as well as answer investor questions relating to the transaction. The accompanying presentation can be found in this release. Joining the webinar will be David Brudenell (Executive Chairman, DAI) as well as Vanessa Liu (Co-Founder & CEO of Sugarwork). Investors can register to the webinar via: https://us02web.zoom.us/webinar/register/WN_0enrKgbkRsqtH4nfA-FQcQ Questions can be submitted prior to the event for the panel to answer to simon@nwrcommunications.com.au -Ends- For further information, please contact: David Brudenell Executive Chairman, Decidr AI Industries Ltd E: dbrudenell@decidrindustries.ai This announcement has been authorised for release by the Board of DAI. About Decidr AI Industries (ASX:DAI) Decidr AI Industries (ASX:DAI) is an AI-enablement group building the infrastructure that allows organisations to become truly AI-native. The company now owns 100% of Decidr.ai, developer of the Decidr Agentic Operating System—technology that unifies business data, workflows, and decisions into a deterministic, enterprise-grade AI layer. DAI has also signed a binding term sheet to acquire Sugarwork, a leading knowledge- capture and workflow-automation platform, further strengthening its capabilities in organisational intelligence and enterprise AI adoption. With these combined assets, DAI is accelerating product development, expanding into new industries and geographies, and enabling its portfolio and partners to unlock rapid growth through scalable, agentic AI. To be updated on all DAI activities, news and access historical information register on the DAI Investor Portal: https://decidrindustries.ai/auth/signup For more information see https://decidrindustries.ai Decidr x Sugarwork Activating the agentic economy x Confidential / Copyright © 2 Agenda 01 Sugarwork overview 02 Sugarwork x Decidr Strategy 03 Operational comments 04 Q&A 3 4 5 6 8 9 10 11 12 Decidr x Sugarwork Activating the agentic economy x 14 The Problem https://nanda.media.mit.edu/ ⸻ of generative AI pilots fail 95% Despite the rush to integrate powerful new models, about 5% of AI pilot programs achieve rapid revenue acceleration; the vast majority stall, delivering little to no measurable impact on the P&L. 15 The Problem Probabilistic Technology ‘Super guessers’ Deterministic Structure ‘Repeatable workflows’ ≠ 16 AI does not replace jobs. It replaces tasks. 17 To understand tasks, you need to understand your business workflows 18 The Problem: Enterprise AI fails ⸻ of enterprise AI fails 95% ⸻ of business knowledge is tacit Undocumented, unstructured, invisible to systems. Despite billions in AI investment, most projects fail - because AI lacks the context to execute with confidence. 80% Without knowledge, AI agents can’t reason, adapt, or scale in complex, dynamic enterprise environments. 19 The Solution: Decidr x Sugarwork From human expertise to agentic execution Together - Sugarwork and Decidr provide the context and execution layers AI has been missing. Sugarwork captures the human intelligence that makes real work happen. ● Sugarwork identifies decisions, exceptions, and undocumented workflows ● Converts tacit knowledge into structured logic DecidrOS turns that intelligence into structured, agentic execution. ● DecidrOS transforms that logic into schema-based, goal-driven automation ● Result: agents that act with context - not hallucination Enterprise AI fails because it lacks the operational context to act. That context lives in people - not systems. 20 Standardise & optimise workflow Understand cost per workflow Identify current workflows Calculate Agentic $ savings/uplift Create standard task types Identify what tasks can be Agentic Customise Std Decidr Workflow Deploy Agentic App(s) Every business is on a different path to AI adoption. Together, we create one unified platform. Any starting point. From human-led to agentic - for businesses of all sizes. One platform, flexible entry. The Unified Customer Journey: Discover Sugarwork uncovers high-value workflows, decisions, and edge cases Structure DecidrOS preboards businesses onto the Agentic Schema - building automation-ready logic Execute Businesses deploy agentic apps - from the marketplace or built from their own workflows. Sugarwork and DecidrOS meet each business where they are, and take them further. SMEs with simple workflows are ready to deploy. Enterprises need discovery to understand what to automate. 22 The Agentic Graph is the orchestration layer of the Agentic Economy - a live network of workflows, decisions, and relationships inside the DecidrOS platform. Sugarwork fuels it with real operational intelligence. ● Captures tacit workflows and decision logic ● Enriches schema nodes with trusted, usable context ● Turns insight into reusable agentic apps ● Activates organizations as connected nodes in the agentic network Sugarwork turns enterprise knowledge into platform intelligence, activating the agentic economy at scale. Accelerating the Agentic Graph 23 Built to Win: End-to-End Execution Infrastructure ● Immediate value - via diagnostics or automation ● Scalable infrastructure - not just tools ● One journey - from discovery to agentic execution With this foundation, we’re positioned to lead the shift from human-led, AI experimentation to agentic organisations. Building infrastructure for the Agentic Economy Sugarwork unlocks: Sugarwork brings high-trust entry into complex, real-world businesses. Every workflow captured deepens Decidr’s Agentic Schema - improving execution and reuse. App Ecosystem Growth Operationalise their own logic into specialised agentic apps - expanding the marketplace Schema Acceleration Enterprise Access Why it matters: Operational comments x Contact hello@decidr.ai Visit Decidr.ai Captures the way work actually happens. Executes workflows with schema driven logic.