This report identifies key artificial intelligence and intelligent automation use cases in the banking, financial services, and insurance (BFSI) space. It also provides an overview of enterprise challenges in this industry based on Avasant’s assessment.
Why read this report?
Over the past three years, we’ve seen a substantial move of applied AI projects into full-scale production in the BFSI space, largely catalyzed by the pandemic. Most of these AI projects successfully advanced to the production stage, driven by richer data availability, increasingly advanced AI algorithms, and a rising commitment from enterprises to harness AI for improved productivity and strategic decision-making. However, the BFSI landscape took a pivotal turn with the advent of Generative AI. Enterprises quickly adopted a hands-on approach with Gen AI, sparking a sharp increase in proofs of concept within the AI field.
The Adoption of AI and Intelligent Automation in Banking, Financial Services, and Insurance report aids BFSI enterprises in identifying important use cases in AI and intelligent automation adoption among BFSI businesses for any digital project that they take part in.
Methodology
The AI and intelligent automation use cases presented in this report are based on our ongoing interactions with enterprise CXOs and other key executives, targeted discussions with service providers, subject matter experts, and Avasant Fellows, analyst insights from primary and secondary research, and lessons learned from consulting engagements.
Table of contents
BFSI use cases (Pages 2–4)
- Intelligent automation and AI adoption: BFSI use cases
