[INS1] AI for 24h Assets Damage Assessment & Claim (Image & Video Damage Assessment)
Tasco · Posted 10 months ago
Automotive and mobilityComputer Vision
- Budget
- To be determined
- Timeline
- Not specified
- Closed on
- 13 Jan 2026, 23:59 ICT
Problem statement
Tasco Insurance is experiencing rapid growth in the motor vehicle segment, leading to a surge in claims volume.
The initial damage assessment process is still predominantly manual, relying on individual experience, leading to slow processing, inconsistency, lack of standardization, and increased risk of fraud.
In addition, the absence of a standardized digital assessment flow makes it difficult to:
- Perform early or remote risk assessment when full on-site inspection is not feasible
- Reuse images, videos, and digital checklists consistently across underwriting and claims
- Align assessment outputs with policy coverage and claims conditions
Expected outcomes and success metrics
- Reduce assessment time and cost by ≥ 30%
- Reduce claim costs by 15–20% through more accurate valuation and fraud detection
- Shorten initial processing time to 5–10 minutes
- Free up approximately 50% of manual workload
- Standardize damage assessment and valuation decisions
Current process
The initial damage assessment is still mostly manual, dependent on individual experience.
Current solution
The initial damage assessment is still mostly manual, dependent on individual experience.
Target users and impacted teams
Customers (vehicle owners), Assessors / Claims adjusters, Board of Directors & Operations department, Repair garages.
Data availability and readiness
Warehouse of vehicle damage images from thousands of claims over the last 2 years (with assessment results & actual costs). Database of spare part prices & repair unit costs by region.
Integration, deployment and infrastructure
Pilot environment: integration into the internal claims system and piloting at some branches/garages.
Relevant AI technologies
Computer Vision