TL;DR
A single Account Aggregator can provide financial institutions with access to consent-based financial data, but it can also create dependency on one provider’s availability and performance. A multi-AA strategy gives FIUs greater resilience by enabling dynamic routing, improving data-fetch reliability, reducing customer drop-offs, and keeping critical financial journeys moving when individual AA or FIP connections face disruptions.
Introduction: Why a Single Account Aggregator May Not Be Enough
Account Aggregator has changed how financial institutions access financial data. Instead of relying entirely on documents, screenshots, or manual bank statement collection, lenders and other regulated entities can access customer-approved financial information through a secure, standardised and consent-driven framework. But, accessing the AA ecosystem is only the starting point!
As Account Aggregator becomes embedded into onboarding, underwriting, risk assessment and other financial workflows, the reliability of every data fetch starts to matter. A customer may struggle to discover or link the right account, an AA or Financial Information Provider (FIP) may experience temporary availability issues or a data-fetch request may fail even after the customer has completed the consent journey. Each of these points of friction can interrupt an otherwise successful financial journey.
For a financial institution, a failed fetch can mean an abandoned loan application, a delayed underwriting decision or an incomplete onboarding journey. This is where the difference between a single-AA and multi-AA strategy becomes important.
Connecting to one Account Aggregator may be enough to get started. But as AA becomes a critical part of financial data infrastructure, relying on a single provider can limit resilience and leave institutions exposed to ecosystem-level variability. A multi-AA strategy takes a different approach by connecting to multiple Account Aggregators and intelligently route requests based on real-time availability and performance to create a more reliable path from customer consent to successful financial data retrieval.
Single vs Multi-AA: What Is the Difference?
The difference between a single-AA and multi-AA strategy comes down to how a Financial Information User (FIU) connects to and manages Account Aggregator infrastructure.
What is a single-AA strategy?
In a single-AA setup, an FIU connects to one Account Aggregator to facilitate consent-based financial data retrieval from participating Financial Information Providers (FIPs). This approach can simplify the initial integration. However, it also creates a dependency on one provider. If the selected AA experiences availability or performance issues for a particular FIP or customer journey, the FIU may have limited options to recover the transaction through the AA ecosystem. As AA becomes part of critical workflows such as onboarding and underwriting, this dependency can become increasingly significant.
What is a multi-AA strategy?
A multi-AA strategy connects an FIU to multiple Account Aggregators through a unified infrastructure layer. Instead of sending every request through a single provider, the infrastructure can evaluate AA availability and performance and route the request to the most suitable AA.
This is the approach Digitap takes through its FIU infrastructure, which supports multiple Account Aggregators and dynamically routes requests based on real-time availability and performance. The distinction is therefore not simply about one AA versus multiple AAs but about moving from a single point of dependency to an infrastructure model designed for greater reliability and continuity.
| Single-AA strategy | Multi-AA strategy |
| One AA connection | Multiple AA connections which are used based on success rates |
| Greater dependency on one provider | Reduced dependency through multiple providers |
| Limited routing options | Dynamic routing based on performance and availability |
| Greater exposure to individual AA disruptions | Greater resilience across the AA ecosystem |
For financial institutions, this shift becomes particularly important when AA is no longer an isolated integration, but a core part of customer onboarding, credit underwriting and financial data-driven decision-making.
Why Multi-AA Matters for Financial Institutions
The case for a multi-AA strategy goes beyond having multiple integrations. It is about creating a more reliable financial data acquisition layer that can support customer journeys even when performance varies across Account Aggregators and FIPs. For financial institutions, four benefits stand out.
Improve Account Aggregator Data-Fetch Success Rates
Not every Account Aggregator performs equally across every Financial Information Provider. Success rates can vary depending on the participating institution, system availability, customer profile and real-time ecosystem conditions. A single-AA setup leaves the FIU dependent on the performance of one provider. A multi-AA infrastructure creates the flexibility to route requests based on current AA availability and performance.
This means institutions can move from static connectivity to a more responsive approach to financial data retrieval by helping maximise successful fetches without requiring customers to repeatedly restart their journey.
Reduce Customer Drop-Offs
The impact of a failed data fetch extends beyond the backend. Every additional point of friction can affect customer completion. Account discovery issues, complex consent journeys and failed retrievals can cause customers to abandon an application before financial data is successfully fetched.
A multi-AA strategy can help address this by giving institutions more flexibility in how requests are routed. Combined with capabilities such as profile pre-validation and a standardised user experience across AAs, this can create a more consistent path from account linking to successful data retrieval. Digitap’s internal benchmarks attribute a 12% improvement in success rate to multi-AA routing, with additional improvements from profile pre-validation and standardised UI.
Build Resilience Into Critical Financial Journeys
As AA becomes part of workflows such as digital onboarding, credit underwriting and risk assessment, data retrieval becomes a business-critical function. A temporary disruption should not automatically mean a failed customer journey.
Multi-AA connectivity provides an additional layer of resilience by reducing reliance on a single provider. Financial institutions can also strengthen this further with recovery mechanisms that provide alternate ways to acquire financial information when AA-based retrieval is unavailable. Digitap, for instance, supports fallback through NetBanking and PDF statement retrieval, allowing financial data acquisition to continue even when the primary AA route fails.
Reduce Dependency on a Single Provider
A single-AA strategy can work when an institution is starting its AA journey. But as volumes increase and AA becomes embedded into critical workflows, the cost of dependency becomes more significant.
A multi-AA strategy provides institutions with greater control over how they manage this dependency. Instead of treating AA connectivity as a fixed integration, they can build an infrastructure layer that can evaluate performance, route traffic and respond to changing ecosystem conditions. The result is a shift from connectivity as an integration to connectivity as infrastructure; one that is designed around reliability, customer completion and business continuity.
How to Build a High-Performance Multi-AA Strategy
Simply connecting with multiple Account Aggregators is not enough. To make multi-AA infrastructure effective, financial institutions need to focus on how those connections are managed across the customer journey.
Use Dynamic Routing
The value of multiple AA connections comes from being able to route requests intelligently. Performance and availability can vary across AAs and FIPs, so routing based on real-time conditions can help institutions improve the likelihood of successful data retrieval.
Track the Entire AA Journey
A successful data fetch depends on more than the final retrieval step. Institutions need visibility across account discovery, consent, linking and data fetching to understand where customers are dropping off and where retries may be required. Event-level tracking and journey analytics can help identify these friction points and support continuous optimisation.
Built-in Recovery and Fallback
Even with multiple AAs, not every data-fetch attempt will succeed. A resilient architecture should therefore have recovery mechanisms and alternate data-acquisition routes. Digitap’s AA infrastructure supports fallback to NetBanking and PDF statement retrieval, helping financial institutions continue the journey when AA-based retrieval is unsuccessful.
Keep the Customer Experience Consistent
Multiple backend connections should not translate into a fragmented customer experience. A standardised interface across AAs can help keep the journey familiar while the infrastructure handles routing and recovery in the background.
Conclusion
The first phase of Account Aggregator adoption was about enabling consent-based access to financial data but the current challenge that the BFSI industry is experiencing is making that access reliable, resilient and scalable. For financial institutions, a multi-AA strategy can reduce dependency on a single provider, improve the reliability of financial data retrieval and help minimise friction across critical journeys such as onboarding and underwriting.
The goal, ultimately, is not to connect to more AAs. It is to build a financial data infrastructure that can route intelligently, recover when needed and keep customers moving.
Digitap’s multi-AA infrastructure brings these capabilities together through dynamic routing, journey-level tracking, recovery mechanisms and support for multiple Account Aggregators by helping financial institutions build more resilient AA journeys.
Ready to build a more resilient Account Aggregator infrastructure? Reach out to Digitap to explore how our multi-AA infrastructure can help improve data-fetch reliability and customer journey completion.