Smart Claims Assistant - Live AI Prototyping Series
In our #2 Live AI Prototyping session, we will be showing you how to build a Smart Claims Assistant. Expense claims sit at the intersection of finance automation, policy compliance, and employee experience. That makes it the ideal canvas for showing exactly how transparent, auditable AI can be built. The same principles apply to any document-heavy, compliance-sensitive workflow you are considering.
We will show you how to prototype a Smart (AI-Powered) Claims Assistant. Every prompt, every architectural decision, and every trade-off will be visible and explained.
Core Features Included in Prototype
Receipt Upload and AI-Powered Data Extraction: User uploads a photo of a receipt, AI extracts key details and pre-fills the claim form automatically. During the build we will compare Optical Character Recognition (OCR) and AI vision models, covering the speed, cost, and accuracy trade-offs of each approach.
Intelligent Category Assignment: How to ground AI decisions (expense category assignment) in company-specific rules and reference data, and how to make that reasoning visible and auditable.
Policy-Based Claims Validation: AI evaluates whether a claim is likely valid according to company policy, e.g. checking that a taxi claim starts or ends at the office address, verifying that after-hours transport claims fall outside standard working hours, and flagging amounts that exceed per-category limits. Every validation rule is explicit, editable, and traceable. If HR needs to explain why a claim was flagged, the system can show exactly which rule triggered it.
Conversational Claims Support: We will add a chat interface that assists employees while filling in their claim. The assistant can answer questions by referencing the company policy document directly.
Claims Dashboard: Lightweight dashboard prototype showing an employee's submitted claims, statuses, and totals.
This Event Is for You If
You lead Finance, HR, or Operations and are navigating AI adoption with real compliance, governance, and audit accountability pressures.
You work in procurement or supplier management and want to see how document intelligence applies beyond internal claims.
You have evaluated an AI tool, hit a wall on transparency or explainability, and want to understand what a better-architected approach looks like.
You are early in your AI journey and want a grounded, jargon-free view of how to scope and build a prototype before committing a budget.
What We Will Show You
Feasibility and Evaluation: A practical rubric for evaluating AI solutions, understanding what to build, what to buy, and how to measure success.
The Rapid PoC Blueprint: Insight into the frameworks we use to identify high-value use cases and scope them for efficient development.
From PoC to Enterprise-Grade: A clear understanding of the architecture, security, and compliance layers required to bridge the gap between a prototype and a deployed application.
Format
Live workshop with running commentary and an interactive element: you submit a mock receipt during the session and watch it go through the claims submission workflow live. Open Q&A, honest reflection on what we did not build, and networking over light refreshments.
Agenda
You will receive the full agenda after registration.
About the Live AI Prototyping Series
We have started this series with the intention of demystifying what AI can and cannot do. We want to show you, as transparently as possible, the process of creating and building with AI, so you can have a better understanding of how to conceptualise and start innovation projects.
What is actually going to happen? We will build a live prototype to show you exactly how a raw business requirement transforms into a working tool. We will not use "black box" platforms that hide the logic. Instead, we will show you how to build a transparent, modular system that you actually own.
Each session may feature a different tech stack.
Limited seats to ensure quality interaction. Reserve your spot for a live engineering showcase.