<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>Andrew Kapuduwa — AI, Innovation & Transformation</title><link>https://andrewkapuduwa.com/insights.html</link><description>Applied AI and transformation insights.</description><item><title>AI in Transformation: Where Agents Actually Create Value</title><link>https://andrewkapuduwa.com/article-ai-transformation-agents-value.html</link><description>A practical framework for separating useful agentic automation from AI theatre and deciding where humans must stay accountable.</description></item><item><title>Why Transformation Estimates Fail Before Delivery Starts</title><link>https://andrewkapuduwa.com/article-why-transformation-estimates-fail.html</link><description>Why reuse assumptions, incomplete elaboration, data-model debt and process redesign can make early transformation estimates unreliable.</description></item><item><title>Designing AI Agents for Dynamics 365 Case Management</title><link>https://andrewkapuduwa.com/article-ai-agents-dynamics-365-case-management.html</link><description>How AI agents can support triage, workload allocation, duplicate detection, assessment preparation and case summarisation in Dynamics 365.</description></item><item><title>When Should an AI Agent Be Allowed to Make a Decision?</title><link>https://andrewkapuduwa.com/article-when-should-ai-agent-make-decisions.html</link><description>A practical authority model for deciding how much autonomy an AI agent should receive.</description></item><item><title>Why Legacy Modernisation Is Really a Business-Rules Problem</title><link>https://andrewkapuduwa.com/article-legacy-modernisation-business-rules.html</link><description>Why successful legacy modernisation requires discovering the institutional knowledge encoded in old systems, not merely translating code.</description></item><item><title>The Architecture–Delivery Gap Is a Leadership Problem</title><link>https://andrewkapuduwa.com/article-architecture-delivery-gap.html</link><description>Why architecture and delivery must operate as one decision system during technology transformation.</description></item><item><title>Using Geospatial Eligibility in Emergency Assistance Systems</title><link>https://andrewkapuduwa.com/article-geospatial-eligibility-emergency-assistance.html</link><description>How polygon-based geospatial eligibility can improve emergency assistance assessment, auditability and automation.</description></item><item><title>Four Conversations a Technology Transformation Leader Must Hold at Once</title><link>https://andrewkapuduwa.com/article-four-conversations-transformation-leader.html</link><description>Why transformation leaders must continuously connect executive, business, architecture and delivery conversations.</description></item><item><title>What Executives Should Ask Before Funding an AI Programme</title><link>https://andrewkapuduwa.com/article-executives-before-funding-ai-programme.html</link><description>The questions executives should ask before funding an enterprise AI programme or agentic transformation.</description></item><item><title>AI for Software Teams: Don’t Just Add Copilot—Redesign the SDLC</title><link>https://andrewkapuduwa.com/article-ai-first-software-engineering-teams.html</link><description>How software teams can redesign requirements, development, testing, review and DevOps around AI rather than simply adding coding assistants.</description></item><item><title>Can LLMs Write Business Requirements and User Stories? Yes—but That Is the Wrong Question</title><link>https://andrewkapuduwa.com/article-llm-business-requirements-user-stories.html</link><description>How LLMs can improve business analysis by interrogating evidence, surfacing gaps and preserving traceability instead of simply generating user stories.</description></item><item><title>AI-Augmented Business and Functional Analysis: The Analyst Becomes an Orchestrator of Evidence</title><link>https://andrewkapuduwa.com/article-ai-business-functional-analysis.html</link><description>How AI can connect process, rules, data, requirements, architecture and tests while freeing analysts to focus on problem framing and value.</description></item><item><title>Data Before AI: Building Operational Intelligence for Emergency Services</title><link>https://andrewkapuduwa.com/article-data-ai-emergency-services-operational-intelligence.html</link><description>How emergency services can combine historical, real-time, contextual and geospatial data with AI to improve operational decision-making.</description></item><item><title>Case Study: Designing a Multi-Agency Emergency Services Intelligence Platform</title><link>https://andrewkapuduwa.com/article-case-study-emergency-services-ai-data-platform.html</link><description>An illustrative architecture combining CAD, traffic, weather, GIS, analytics and AI decision support across police, fire and ambulance operations.</description></item><item><title>Can an Autonomous AI Agent Improve Computer-Aided Dispatch?</title><link>https://andrewkapuduwa.com/article-autonomous-ai-agent-computer-aided-dispatch.html</link><description>How an AI operational agent can analyse crime, traffic, demand, resources and spatial coverage to support CAD without prematurely replacing dispatch authority.</description></item><item><title>GeoAI: The Missing Layer in Intelligent Emergency Response</title><link>https://andrewkapuduwa.com/article-geoai-emergency-response.html</link><description>How geospatial AI can improve routing, dynamic risk, building intelligence and system-wide resource decisions in emergency response.</description></item><item><title>Secure AI in Airports: Building a Closed and Governed AI Ecosystem</title><link>https://andrewkapuduwa.com/article-secure-ai-airports-closed-ecosystem.html</link><description>How airports can deploy enterprise AI through controlled data gateways, model governance, authority boundaries and security-by-design.</description></item><item><title>AI for Airport Resource Management: Optimising the Turnaround Rather Than One System at a Time</title><link>https://andrewkapuduwa.com/article-ai-airport-resource-management.html</link><description>How AI can optimise airport turnaround, gates, stands, ground-support equipment and operational resources as a connected system.</description></item><item><title>AI, Geospatial Intelligence and BIM: The Next Operating Model for Government Asset Management</title><link>https://andrewkapuduwa.com/article-ai-geospatial-bim-government-asset-management.html</link><description>How government can combine asset registers, GIS, BIM, field evidence, IoT and AI for risk-based maintenance, investment and operational optimisation.</description></item></channel></rss>