9Spokes Pulse Brings AI Insights to SMB Banking

Small-business owners often have plenty of financial data but too little context to understand what it means. 9Spokes is targeting that gap with Pulse, a new intelligence layer for its SMB Financial Hub that combines consented banking, accounting, merchant, payroll and marketing data to answer operational questions that individual financial applications cannot address alone.

9Spokes Wants to Turn SMB Banking Data Into Answers, Not Dashboards

For a small-business owner, knowing the current bank balance is rarely enough.

The more useful questions are harder: How long will the cash last? Can the business pay its upcoming bills? Are sales actually growing? Which store is underperforming? Are overdue invoices creating a cash-flow problem?

Answering those questions often requires jumping between a bank application, accounting software, a payment processor and other business systems.

9Spokes is attempting to bring those answers into one place with Pulse, a new intelligence layer within its SMB Financial Hub platform. The company says the product uses consented data from connected banking, accounting, merchant, payroll, marketing and other sources to turn fragmented business information into plain-language insights and recommended actions.

The launch comes as financial institutions face a new expectation shaped by artificial intelligence: customers increasingly want software to interpret information rather than simply display it.

For banks and other financial-service providers, that shift creates an opportunity—and a challenge. Building a customer-facing AI assistant from scratch can require substantial investment in data integration, models, governance and user experience. Pulse is positioned as an intelligence layer that can sit within existing financial-service ecosystems instead.

From financial dashboards to business questions

Traditional financial dashboards are optimized around accounts and transactions.

Pulse takes a different approach by organizing information around questions a business owner might actually ask.

When a customer connects bank accounts, 9Spokes says Pulse can surface cash runway, changes in burn rate, cash direction and unusual transactions. Connecting accounting data adds information about outstanding invoices and bills. Merchant data can then provide revenue trends, average order value, transaction volume and location-level performance.

The important distinction is the relationship between those data sources.

A bank can show how much cash a company has. Accounting software can show which invoices remain unpaid. A merchant platform can show sales.

Combining those datasets can produce a more useful conclusion.

For example, 9Spokes says that identifying $8,000 in overdue invoices could change a business’s projected cash runway from 14 days to 22 days. That is a cross-system insight rather than a simple transaction-level observation.

This model reflects a broader evolution in financial technology: the value of financial data increasingly comes from connecting datasets rather than simply collecting more of them.

Open banking becomes more useful when the data is interpreted

The underlying infrastructure is closely tied to the development of open banking and connected financial-data ecosystems.

Financial institutions have spent years building APIs and connectivity layers that allow customers to aggregate accounts and authorize data sharing. But simply making data accessible does not automatically make it useful.

That is where intelligence layers such as Pulse become relevant.

Instead of forcing an SMB owner to interpret raw transactions, financial ratios and accounting records, the software can translate those signals into operational context.

This could eventually make financial platforms more like decision-support systems.

The trend is already visible across the broader fintech market. Companies such as Intuit, Plaid, Stripe and Adyen have built businesses around connecting financial data, payments and software workflows, while major banks including JPMorgan Chase, Bank of America and Wells Fargo continue investing in digital business-banking experiences.

The competitive question is increasingly whether financial institutions can turn those connected datasets into useful customer experiences.

AI raises the bar for financial software

9Spokes is not presenting Pulse simply as another generative AI chatbot.

That distinction matters.

For financial institutions, customer-facing AI introduces significant questions around data privacy, accuracy, explainability and compliance. A system that produces a plausible but incorrect financial recommendation could create materially greater risk than a conventional dashboard.

Pulse instead focuses on structured financial intelligence derived from connected sources.

That approach could be attractive to financial institutions that want to deliver more personalized insights without immediately deploying an autonomous AI system directly to customers.

It also illustrates an emerging architecture for financial AI: AI does not necessarily need to replace the banking application. It can become an interpretation layer on top of trusted financial data and existing workflows.

For banks, credit unions and fintech providers, that could lower the barrier to delivering AI-like experiences while maintaining greater control over the underlying data.

The FI gets the intelligence, too

There is another side to the product that could prove particularly important commercially.

9Spokes says the data connected by SMB customers flows back to the financial institution as structured intelligence, including financial position, cash information, relationships with multiple banks and merchant activity.

That creates potential applications beyond customer experience.

A financial institution could use the information to identify lending opportunities, prepare for relationship-management conversations or determine where a business might be using competing financial providers.

In other words, the same data aggregation that helps an SMB understand its business could help a bank understand its customer.

That creates an interesting feedback loop.

If a bank can see that a small business’s cash position is deteriorating, revenue is rising and its outstanding invoices are increasing, it may have a better basis for a financing conversation. If merchant activity is growing but the business is using another institution for payments or treasury services, the data could indicate an opportunity to increase wallet share.

The commercial value of the platform therefore extends beyond analytics.

Competition will come from broader financial platforms

9Spokes faces a market in which both financial institutions and software companies are trying to become the primary interface for business financial intelligence.

Intuit QuickBooks, for example, already combines accounting, payments, payroll and financial information for millions of businesses. Banking platforms increasingly offer cash-flow analytics and embedded accounting tools. Payment processors are expanding into banking, lending and business-management services.

The differentiator for a data aggregation platform is therefore breadth.

Pulse’s ability to combine banking, accounting, merchant, payroll and marketing information could be useful where no single provider controls the entire business-data stack.

The challenge will be ensuring that insights remain accurate as more data sources are connected, while making the experience simple enough for owners who are not financial analysts.

That makes data consent, interoperability, security and explanation as important as the AI layer itself.

What financial institutions should watch

For banks and fintech providers, Pulse represents a broader strategic direction: turning open financial data into proactive business intelligence.

The strongest platforms in this category are likely to move beyond describing what happened to explaining why it happened and what the customer could do next.

That could mean identifying a cash-flow risk before it becomes a liquidity crisis, flagging an unusual transaction, highlighting a weak-performing location or identifying when a business has enough growth momentum to consider additional financing.

The opportunity is particularly significant for SMB banking, where owners often lack dedicated finance teams.

But financial institutions should evaluate such platforms on more than the number of connected data sources. They should examine consent management, data security, explainability, integration capabilities, accuracy and how insights translate into measurable customer outcomes.

The bigger shift is already underway.

Financial software is moving from “here is your data” toward “here is what your data means.”

Pulse is an example of that transition—and a sign that the next competitive frontier in digital banking may be the intelligence built on top of financial data rather than the data itself.

Market Landscape

The 9Spokes launch sits at the intersection of several major fintech trends:

Open banking and financial-data connectivity: Businesses increasingly expect financial information to move securely between banks and software platforms with customer consent.
AI-powered financial insights: Generative and predictive AI are shifting financial applications toward proactive recommendations rather than static reporting.
SMB financial fragmentation: Small businesses frequently rely on separate providers for banking, accounting, payments, payroll and marketing, creating demand for cross-platform intelligence.
Embedded finance: Companies such as Stripe, Intuit and other software platforms increasingly combine payments, banking and financial services inside business workflows.
Data-driven lending: Connected financial and merchant data can potentially provide lenders with more timely signals about business performance and financing needs.

For financial institutions, the strategic opportunity is to turn customer-permissioned data into better advice, stronger relationships and more relevant financial products.

The risk is that fintech platforms may become the primary intelligence layer between banks and their business customers.

Top Insights

9Spokes Pulse combines banking, accounting, merchant, payroll and marketing data to give SMB owners operational answers rather than disconnected financial dashboards.
Cross-source intelligence can reveal cash-flow relationships that individual banking, accounting and payment applications cannot identify independently.
Financial institutions can receive structured customer intelligence for lending signals, relationship management and wallet-share opportunities without repeatedly requesting documents.
The launch reflects a broader shift toward AI-assisted financial software that explains data and recommends actions instead of simply reporting historical transactions.
Open banking becomes more valuable when connected financial data is transformed into understandable business decisions for owners and financial institutions.

Get in touch with our fintech expert