Financial data aggregation has become a cornerstone of modern wealth management, enabling advisers to offer clients a unified view of their portfolios.
By collecting and harmonising information from multiple financial institutions, aggregation platforms empower firms to deliver accurate, holistic advice. Yet, this process has long been challenged by technical hurdles — differing data formats, inconsistent site updates, and connectivity issues that lead to broken feeds and delays.
ByAllAccounts, a data aggregation network, recently explored the impact of AI on financial data aggregation.
Recent advances in large language models (LLMs) are changing this landscape. Supervised AI now allows data aggregation systems to detect and adapt to changes across financial websites faster and with greater precision. By reducing manual interventions and accelerating data processing, AI can significantly improve both the speed and reliability of information updates, it said.
At the forefront of this transformation is ByAllAccounts, a leading provider of investment data aggregation solutions. The company helps wealth managers eliminate friction and unlock value by delivering normalised investment data across both held and held-away accounts from thousands of financial institutions. Its platform underpins a wide range of adviser and WealthTech systems, powering portfolio management, risk oversight, and institutional workflows across the financial services ecosystem.
To ensure scalability and security, ByAllAccounts uses direct custodial feeds through its Data Feed Bundle and token-based open banking connections where available. For institutions without such modern integrations, the company maintains secure screen-scraping workflows to reach high-value accounts that remain outside open banking networks. These data sources are vital for functions like performance tracking, portfolio rebalancing, and liquidity management.
Over two decades of experience have enabled ByAllAccounts to develop adaptive systems that manage the dynamic behaviour of financial websites. These intelligent workflows can navigate multi-factor authentication, handle timeouts and pop-ups, and adjust automatically to changing layouts. The result is consistent, high-quality data — delivered reliably even as source sites evolve.
The introduction of supervised AI further strengthens this capability. LLMs bring advanced pattern-recognition skills that help interpret unstructured data and detect structural changes on websites. However, ByAllAccounts applies AI cautiously — as an enhancement, not a replacement. The company emphasises the importance of accuracy and control, integrating AI within defined boundaries that comply with strict data security and reliability standards.
Each AI-assisted process is logged, with interpretable reasoning steps to ensure transparency and accountability. Human oversight remains a core part of every decision loop, guaranteeing that automation supports — rather than substitutes — the expertise and trust the platform has built over time.
For ByAllAccounts, the role of AI represents evolution, not disruption. The company’s supervised AI capabilities are designed to enhance proven systems, ensuring the delivery of high-fidelity financial data remains fast, accurate, and compliant. This measured, experience-driven approach ensures wealth managers continue to receive the quality data they need to make confident, informed decisions.
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