Letter from the Editor: We keep giving small businesses more tools when what they want is relief - Tearsheet
Introducing our new ‘Letter from the Editor’ series featuring exclusive insight and opinion-driven analysis from Tearsheet editor Sara Khairi. The focus is to link ideas, question assumptions, and track shifts across both mature and emerging trends in financial services.
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Issue # 2
I see one theme repeating itself across SMB finance.
Every product roadmap, every funding announcement, every platform expansion seems to be moving in the same direction: more tools, more automation, more integration, more intelligence layered on top of already complex systems. In many ways, it is progress. Small business owners today can do things that were unthinkable a decade ago, like move money instantly, access working capital faster, automate bookkeeping, run payroll in a few clicks, and even forecast cash flow with a level of precision once reserved for enterprise finance teams.
But when you listen to SMB owners describe their day, it starts to sound like a constant juggling act. They don’t struggle to operate because they lack tools; they struggle because the tools don’t agree with each other, don’t speak the same language, and rarely show up at the moment a decision is actually being made.
It’s interesting to see how similar this feels to the dynamic we explored in last week’s Letter from the Editor around Gen Z and money. There, too, the unavailability of tools wasn’t the issue. The system struggles to explain itself in a way that feels coherent, timely, or aligned with how younger users experience money, which is messy, fragmented, and non-linear.
When it comes to SMBs, fintechs came in and did what fintechs do best: they unbundled, optimized, and digitized. But somewhere in that optimization wave, context got fragmented further. We built tools that work beautifully in isolation, and then asked business owners to become the integration and coordination layer. That’s not working anymore.
And the industry, almost everywhere you look, is converging on the same realization: SMB finance is shifting from an access problem to a coordination problem. The constraint is no longer product availability but cognitive overload. This means SMBs don’t need more dashboards but fewer moments of uncertainty.
We solved for availability: capital is easier to access, banking is more digital, onboarding is smoother, and tools are more connected than ever. But we haven’t fully solved for the experience of holding it all together.
This is why the shift toward AI agents in SMB finance is now becoming a structural correction.
The first shift: AI agents in SMB finance
Look at Intuit. Inside QuickBooks, a more coordinated layer of AI agents is taking shape across payments, accounting, and customer operations. The language of automation almost undersells it.
The significance isn’t in their ability to classify transactions or send reminders. It’s in their shift into the workflow where decisions are formed, not just logged after the fact. A late invoice is no longer just a data point. It becomes a branching set of options: nudge, escalate, adjust, wait. A payroll run isn’t just processing; it’s validation, correction, and timing, handled continuously rather than episodically.
The underlying design idea across these systems is that AI absorbs fragmentation, freeing business owners to think clearly.
We’ve seen similar thinking surface in Intuit’s expansion beyond accounting into HR, payroll, and workforce tools like QuickBooks Workforce, a signal that financial operations and people operations are no longer separable at the edges of small business life. When you’re running a 12-person company, payroll is a cash flow event, a retention strategy, a compliance risk – all at once. And yet, historically, we’ve forced SMBs to stitch this together across 7 to 25 tools, each solving a sliver of the problem while adding a new layer of coordination burden.
That’s the first shift: from tools to systems. The second shift is more interesting and more uncomfortable for incumbents. It’s the transition from ownership of products to orchestration of decisions.
The second shift: Ownership to orchestration
Look at how embedded finance is evolving. Intuit and Affirm bring financing directly into QuickBooks, shifting the decision to the moment an invoice is issued, where hesitation can immediately turn into friction and potential lost revenue.
In other words, the product stops being something you use and becomes something that intervenes or merges into infrastructure.
Banks, too, are converging on this idea, albeit from a different angle. Bank of America is trying to become the connective tissue between cash flow risk and workforce stability, linking cash flow forecasting, FX tools, and even employee benefits into a single operating environment. Meanwhile, super-regionals like U.S. Bank are building toward integration as a strategy: payments, payroll, and reconciliation stitched into a unified system that mirrors how SMBs actually experience money in motion.
This puts the SMB problem into a clearer perspective and reinforces that SMB banking is not a product portfolio problem but a continuity problem.
And continuity, unlike products, doesn’t scale easily. So, what fills the gap? Increasingly, it’s AI – not merely as a prediction or automation tool, as it has traditionally been perceived, but as a coordination layer.
This evolution is now reaching adjacent ecosystems, as well. Payment firms like American Express are investing in AI upskilling for SMBs to ease the tech adoption bottleneck.
And on the ground, SMB-focused firms like Bluevine and Hello Alice are approaching the same problem from another direction by reducing operational and capital friction so that small businesses can stay focused on time.
Time is, increasingly, the real currency here: time between decisions, time lost in reconciliation, time spent switching systems that don’t agree with each other.
Which brings us to the part we as an industry often keep circling back to. We describe SMB finance as underserved. That’s not entirely wrong, but it’s an incomplete idea. A more precise statement is that SMB finance has been over-instrumented and under-orchestrated.
We have given small businesses more ways to transact, borrow, forecast, insure, and manage, but very little help in connecting those actions into a coherent day-to-day operating rhythm.
And so what we’re seeing now is not just digitization 2.0 or AI adoption at the edge. It’s a slow redefinition of what financial infrastructure actually means in this landscape. From a stack of tools to a system of decisions, from interfaces to embedded context, and from standalone products to workflows that can think.
There’s a temptation in moments like this to call it a ‘transformation’. But I think that POV glosses over the tension that still exists in the system.
Because every step toward integration raises a counter-question: how much control should be automated before individual judgment starts to blur?
SMBs are not passive recipients of optimization. They are constant negotiators of risk, timing, and survival. The best systems emerging in this space won’t try to remove that negotiation, but they will try to make it less noisy.
And that is the bar we should care about: not how embedded or automated SMB finance gets, but whether it helps business owners see their next step more clearly. Everything else is just infrastructure catching up.
– Sara
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