Insurance & AI
Simplifying AI Success for Insurance.
From pilot to platform — with proven agentic solutions designed for modern insurance operations.
AI Mega Trends
What Could an AI-First Insurance Company Look Like in 3 Years?
From Clicks to Conversations
Voice will outsell clicks — financial services will soon be driven by natural conversations
The Invisible Hyper-Personal Assistant
Tomorrow's financial assistant will be invisible but always available, and totally hyper personal
Video is the New Storefront
Consumers connect emotionally through stories, not words or static images
Value-Chain-Led Use-Case Map
Transforming Insurance Operations, Stage by Stage
The transformation from a digital-first insurer to an AI-native enterprise requires a granular deconstruction of the value chain. This section maps the "Sense, Onboard, Decide, Execute, Support, Measure" lifecycle against specific operational friction points, embedding intelligence at critical nodes to create a defensible competitive advantage.
Stage 1: Sense & Originate (Market Intelligence & Product Design)
Current product development cycles are largely reactive, driven by lagging indicators such as quarterly reports or competitor moves. While innovation has been achieved, sustaining velocity requires moving from intuition-based ideation to data-driven prediction. Manual market research results in slow identification of emerging risk pools and generic product definitions that fail to capitalize on micro-segmentation opportunities.
Predictive Demand Sensing Engine
Objective
Identify emerging insurance needs (e.g., micro-mobility, freelance liability) 3-6 months before market saturation.
Users
Technologies
Data Inputs
- Social sentiment
- Search trends
- Regulatory drafts (IA)
- Vehicle registration data
Outputs
- Trend reports
- New product concepts
- Demand volume forecasts
Business & Technical Depth
Use Case Deep Dive: Business Logic & Technical Architecture
Deep dive into high-priority use cases: business value drivers and technical architecture for Tree's environment.
Computer Vision Claims Automation
Business: 3-7 day process → <15 minutes. 40-60% LAE reduction. Instant settlements boost NPS.
Technical: High data readiness (Tawuniya's labeled images). Requires Najm API, Bytesforce integration, anti-spoofing.
Dynamic Telematics Pricing
Business: Behavior-based pricing. Safe drivers save 20-30%. Daily app engagement attracts best risks.
Technical: Medium data readiness. Requires Telematics SDK, Najm Connect, edge processing. High complexity.
Generative AI Sales & Service
Business: 10x volume, same staff. 24/7 Khaleeji Arabic support. Massive cost reduction, higher conversion.
Technical: High data readiness (policy docs, FAQs). Requires LLM, Bytesforce AI Middle Office, Vector DB, guardrails.
Network-Based Fraud Detection
Business: Detects fraud rings via network analysis. 1% improvement = millions saved. Enables competitive pricing.
Technical: High data readiness (Najm database). Requires Najm API, Bytesforce integration, Neo4j graph DB.
Prioritization & Use-Case Typing
Strategic Portfolio Prioritization
Prioritized portfolio for rapid impact across three strategic tiers.
Tier 1: Quick Wins
Focus: Efficiency & Customer Experience
GenAI Customer Service Concierge
RAG-powered concierge using policy docs. High visibility, immediate cost savings.
AI Claims Triage (Motor)
AI triage: Total Loss vs. Repairable. High volume, immediate adjuster workload reduction.
Tier 2: Platform Builders
Focus: Core Transformation & Risk
Computer Vision Damage Estimation
Motor claims automation. Requires extensive integration and training data.
Automated Underwriting Engine (SME/Pet)
Scales non-motor lines profitably. Builds the company's "Risk Brain."
Network-Based Fraud Detection
Critical for growth. Protects loss ratio as business scales.
Tier 3: Transformational Bets
Focus: Differentiation & New Markets
Telematics / UBI
Complex IoT ecosystem. Creates massive competitive advantage vs. traditional insurers.
Predictive Demand Sensing
Shifts Tree from "selling what we have" to "building what is needed."
Staged Roadmap Construction
A Phased Journey to Cognitive Insurance
Phased journey with clear gates. Value-critical use cases prioritized.
Prove & Prepare
Months 0 – 6
Theme: Frictionless Foundation
Deploy visible AI in customer channels. Establish data infrastructure.
Workstreams
Workstream 1 (Tech)
Data Lakehouse on Google Cloud KSA. Pipeline Bytesforce & App data. SAMA-compliant governance.
Workstream 2 (AI Product)
Launch GenAI Chatbot (Beta) for FAQs.
Workstream 3 (Claims)
Deploy Photo Upload in App. Run CV models in Shadow Mode to validate accuracy.
Readiness Gate
Gate Requirements
- •SAMA approval for cloud architecture
- •Hiring of Head of AI/Data
Idea Starters from Our Labs
Agentic Solutions for Insurance
Ready-to-deploy AI agents from the Tangram Store, customized for insurance operations.
Click any card to try the live demo
Claims Assistant
AI-powered claims processing that analyzes damage photos, estimates repair costs, and generates detailed reports instantly.
Insurance Chatbot
24/7 conversational AI that answers policy questions, provides quotes, and guides customers through claims filing.
Quote Generator
Intelligent quote engine that provides personalized insurance recommendations based on customer needs and risk profile.
Policy Advisor
Natural language assistant that explains coverage options, helps customers understand their policies, and suggests upgrades.
Coverage Analyzer
Smart tool that reviews existing policies and identifies gaps in coverage with personalized recommendations.
Turn GenAI From Cost Center to Value Engine
Whether you're a CDO, CIO, or a Product Owner — if you're done with endless pilots and need real outcomes. Let's make it happen.