25 Automation Opportunities in the Asset Management Industry

1. Automated data collection and analysis: Automation can help asset managers collect, store and analyze large amounts of data quickly and accurately. This helps asset managers make better decisions and reduce costs.
2. Automated portfolio management: A fully automated portfolio management may be a bit of an elusive goal for active asset managers, but it is possible to set up rule-based systems that adjust and rebalances based on triggers.
3. Automated risk management: Automation can help asset managers identify potential risks and take appropriate action to mitigate them before they become a problem.
4. Automated compliance monitoring: Asset managers can use automation to monitor compliance with regulations, ensuring that all assets are managed according to regulatory requirements.
5. Automated customer onboarding: Asset managers can streamline the customer onboarding process, reducing manual effort and improving customer experience.
6. Automated order execution: Asset managers can leverage automation to execute orders quickly and accurately, reducing manual effort and improving efficiency.
7. Automated trade settlement: Asset managers can use automation to settle trades faster, reducing manual effort and improving the accuracy of settlements.
8. Automated portfolio rebalancing: Asset managers can use automation to rebalance portfolios regularly, ensuring that portfolios remain in line with desired risk/return profiles over time.
9. Automated reporting: Asset managers can use automated reporting tools to generate reports quickly and accurately, reducing manual effort and improving the accuracy of reports generated for clients or regulators.
10. Automated client communication: Asset managers can use automated tools such as chatbots or email campaigns to communicate with clients quickly and efficiently, reducing manual effort while providing timely updates on their investments or services the asset manager offers.
11. Automated investment research: Asset managers can use automated tools such as natural language processing (NLP) or machine learning (ML) algorithms to conduct investment research.
12. Automating tax calculations & filing: Asset Managers could leverage automation technology like AI & ML algorithms for calculating taxes & filing returns accurately & efficiently, saving time & resources.
13. Automating KYC/AML processes: Asset Managers could leverage automation technology like AI & ML algorithms for automating Know Your Customer (KYC)  and Anti Money Laundering (AML) processes, which would help reduce operational costs & improve overall efficiency.
14. Automating client onboarding: Asset Managers could leverage automation technology like AI & ML algorithms for automating client onboarding processes, which would help reduce operational costs & improve overall efficiency.
15. Automating document management: Asset Managers could leverage automation technology like AI & ML algorithms for automating document management processes, which would help reduce operational costs & improve overall efficiency.
16. Automating portfolio rebalancing: Asset Managers could leverage automation technology like AI & ML algorithms for automating portfolio rebalancing processes, which would help reduce operational costs & improve overall efficiency.
17. Automating order execution: Asset Managers could leverage automation technology like AI & ML algorithms for automating order execution processes, which would help reduce operational costs & improve overall efficiency.
18. Automating trade settlement: Asset Managers could leverage automation technology like AI & ML algorithms for automating trade settlement processes, which would help reduce operational costs & improve overall efficiency.
19. Automating pricing models: Asset Managers could leverage automation technology like AI & ML algorithms for automating pricing models, which would help reduce operational costs & improve overall efficiency
20. Automate reconciliation process: The asset Manager’s reconciliation process is an integral part of their daily operations as it helps them keep track of their transactions across multiple accounts in real time.
21. Robo-advisory services: Robo-advisory services are becoming increasingly popular among asset management firms as it helps them provide personalized advice at scale without having any human intervention involved in the process.
22. Data aggregation services: Data aggregation services are becoming increasingly popular among asset management firms as it helps them aggregate data from multiple sources into one single platform so that they have a unified view of all their investments across different markets
23. Portfolio optimization services: Portfolio optimization services are becoming increasingly popular among asset management firms as it helps them optimize their portfolios by analyzing historical data points so that they make informed decisions about future investments
24. Algorithmic trading strategies: Algorithmic trading strategies are becoming increasingly popular among asset management firms as it helps them automate certain aspects of trading by using pre-defined rulesets so that they don’t have any human intervention involved in the decision-making process
25. AI-driven insights generation: AI-driven insights generation is becoming increasingly popular among asset management firms as it helps them generate actionable insights from large datasets using advanced analytics techniques such as machine learning (ML), natural language processing (NLP), etc., thus enabling more informed decision making within shorter turnaround times.

These are our Top 25 Automation Opportunities in the Asset Management Industry. What are yours?