Programme
AI for Insurance Operations in Albania
A professional programme for insurance operations staff: policy administration, claims handling, compliance records and customer data with generative AI as an assistant, never as the decision maker. Five core courses and a five-course introductory track.
- Courses
- 10
- Estimated study time
- 80 hours
- Assessment
- Learning is separate from optional human assessment. Completion, qualification, eligibility and assignment are not the same thing.
Study time is a planning estimate, not a measurement with participants. The courses listed below carry their own estimates; they add up to 165 hours.
Who it is for
Claims handlers, underwriting and policy administration staff, compliance officers and customer teams in insurance companies and brokers in Albania.
What it develops
On completing the learning stages you can prepare and check claims files and customer correspondence with AI, keep compliance records complete, analyse portfolio and customer data without exposing personal data, and recognise where a person must decide.
Courses and sequence
- 01
Training
Insurance operations AI: Orientation
The role of an insurance operations manager and what AI changes in claims handling, underwriting, fraud detection and reporting to the supervisor (AMF): where it helps, where it must not decide, and how safe use begins.
Estimated study time: 15 hours
Can be requested independently
- 02
Training
Insurance operations AI: Workflow
The daily workflow of an insurance operations manager with AI: claims handling, underwriting, fraud detection and reporting to the supervisor (AMF), with a human check at every step.
Estimated study time: 15 hours
Can be requested independently
- 03
Training
Insurance operations AI: Documents and communication
Documents and communication for an insurance operations manager: drafting, editing and checking text with AI, with no invented facts and no personal data in public tools.
Estimated study time: 15 hours
Can be requested independently
- 04
Training
Insurance operations AI: Data and analytics
Data and analytics for an insurance operations manager: summaries, tables and reports with AI, each with a stated source and a check before any decision.
Estimated study time: 15 hours
Can be requested independently
- 05
Training
Insurance operations AI: Quality and evaluation
Quality and evaluation for an insurance operations manager: criteria for judging an AI output, a second review, and the typical errors of this work.
Estimated study time: 15 hours
Can be requested independently
- 06
Training
Insurance AI: Operations foundation
The foundations of insurance operations with AI assistance: the verification protocol for policies and claims, the limits of relying on AI in insurance decisions and the principles of regulatory compliance. Part of the insurance programme.
Estimated study time: 18 hours
Can be requested independently
- 07
Training
Insurance AI: Claims processing
Insurance claims processing with AI assistance: verifying documentation and coverage, telling valid claims from suspicious ones, handling disputes and compliance with the claims verification protocol. Part of the insurance programme.
Estimated study time: 18 hours
Can be requested independently
- 08
Training
Insurance AI: Regulatory compliance
The third part of the AI programme for insurance: regulatory compliance under the supervision of the AMF, Solvency II, IDD, EIOPA, reporting and citation verification. 6 sessions.
Estimated study time: 18 hours
Can be requested independently
- 09
Training
Insurance AI: Data, analytics and reporting
The fourth part of the AI programme for insurance: customer data, four-level analytics and BPO reporting with AI, with particular attention to the risk of fabrication. 6 sessions.
Estimated study time: 18 hours
Can be requested independently
- 10
Programme component
Insurance AI: Preparation for assessment
The closing part of the AI programme for insurance: moving from learning to practice and exercises examining supervisory requirements and customer rights. Six sessions; these are not an assessment or approval by public authorities.
Estimated study time: 18 hours
Within the sequence