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How SMBs Are Building DIY Back Offices Using AI | PYMNTS.com

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For decades, small- to medium-sized businesses (SMBs) have been the underserved middle children of enterprise technology.

Too small to afford robust enterprise resource planning (ERP) systems and too complex for consumer-grade tools, many SMBs have had to rely on spreadsheets, manual entry and fragmented services to manage their financial operations.

But that is changing. A wave of artificial intelligence-powered, no-code tools is transforming the way these businesses handle their back offices, empowering a new generation of citizen developers to build custom finance stacks from the ground up.

Today, solo founders, accountants and operations managers are turning to AI to automate key back-office functions. From invoice generation and bill reminders to recurring billing and AI-assisted tax calculators, SMBs are using technology once reserved for large corporations.

They’re doing it without writing a single line of code — or at least, not traditional code. Instead, they’re using natural language prompts, low-code platforms, and AI copilots to script their way to financial agility.

Take the case of Greg Schwartz, founder of Household.tv, a boutique marketing agency in Manhattan. Tired of manually generating invoices and chasing down payments, Schwartz used an AI-coding tool to write a script himself that integrates with Household’s back office and automates invoice creation for each project the agency tackles.

“It used to take me hours every week to generate invoices and follow up with clients,” Schwartz told PYMNTS. “The natural language interface of these tools transformed what used to be a serious engineering lift, or a third-party tool with limited customization, to a fully customized and automated part of my business. And on top of it, it’s helped with cash flow.”

Read also: The Customer Is Always Right: How SMBs Can Attract and Keep Customers

The Rise of the SMB Developer

The concept of the citizen developer isn’t new, but its potential has been supercharged by advances in AI, particularly when applied to business owners. These are not professional software engineers. They are entrepreneurs, founder-CEOs and operations staff who understand their workflows better than anyone and now have the tools to automate them.

What once required a team of developers and a hefty software budget can now be accomplished with a few smart prompts and some time on a Sunday afternoon.

This DIY approach allows SMBs to tailor their tools exactly to their needs, rather than being forced into the rigid workflows of traditional software. Because these solutions are modular, they can evolve alongside the business. Need to add expense tracking? There’s an AI plugin for that. Want to automate payroll reminders? A few clicks in a no-code interface can set it up.

The PYMNTS Intelligence report “Platform Power: The Growing Importance of Embedded Finance to SMB Success” found that 91% of SMBs said they feel ready for growth in 2025. As a result, companies are planning to increase their investments in software — not just for cost savings, but also to unlock new revenue streams and accelerate scaling.

See also: ERPs Find New Home on Main Street as SMBs Tackle Uncertainty

Business Owners Embrace DIY Tech Stacks

The finance stack, traditionally the exclusive domain of larger enterprises, is now being reconstructed by SMB owners using modular, AI-enhanced tools. Invoices, for example, can be auto-generated using language models trained on prior billing data. Payments can be tracked and reconciled while tax estimates can be generated by AI models trained on federal and state tax code changes.

This DIY approach allows businesses to tailor their tools exactly to their needs, rather than being forced into the rigid workflows of traditional software. Because these solutions are modular, they can evolve alongside the business. Need to add expense tracking? There’s an AI plugin for that. Want to automate payroll reminders? A few clicks in a no-code interface can set it up.

As SMBs grow more confident in their DIY capabilities, some are choosing to opt out of traditional third-party financial services.

This isn’t just about cost savings, although that’s a major factor. It’s also about control. When businesses own their financial stack, they gain visibility into their operations and the flexibility to adapt quickly compared to peers and competitors reliant on inflexible external vendors.

As AI continues to evolve, more sophisticated solutions are expected to emerge. From predictive analytics to real-time financial forecasting, the next frontier is in sight. At the heart of it all will be the scrappy, resourceful SMB owner, building the future one automation at a time.

For all PYMNTS B2B coverage, subscribe to the daily B2B Newsletter.

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Speed Raises $8 Million to Expand Bitcoin and Stablecoin Payment Solutions | PYMNTS.com

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The company will use the new funding to build capacity, expand to new regions, develop more merchant tools, enable cross-border and creator payouts, and maintain reliability and compliance, it said in a Tuesday (Dec. 16) blog post.

Speed’s offerings include a global payment layer called Speed Merchant that is designed for merchants, platforms and payment systems and enables them to accept both Bitcoin and stablecoins, according to the post.

The company also offers a Lightning wallet called Speed Wallet that serves individuals and businesses and enables Bitcoin and stablecoin transfers, supports global payouts, offers local on- and off-ramps, and powers USDT transactions, the post said.

“We’ve always believed that Bitcoin and stablecoins can power everyday payments,” Speed CEO Niraj Patel said in the post. “That requires real infrastructure—fast, compliant and scalable. This investment validates that belief and accelerates our mission.”

Speed co-founder Jayneel Patel said in the post that the company aims to “solve real problems with technology.”

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“Speed started as a merchant solution and has grown into a global payment network,” Jayneel Patel said, adding the company is “ready to take the next leap.”

Stablecoin issuer Tether and venture fund ego death capital co-led the funding round, per the post.

Tether said in a Tuesday press release that its investment supports its strategy to support Bitcoin-aligned financial infrastructure and expand the utility of its USDT stablecoin in real-world payment environments.

“We support teams building practical infrastructure that reduces friction in payments and expands access to reliable settlement rails,” Tether CEO Paolo Ardoino said in the release.

Tether’s USDT stablecoin is the most traded cryptocurrency by volume around the world.

Adam Gebner, associate at ego death capital, said in a Tuesday blog post that Speed processed over $1.5 billion in payment volume over the past 12 months and serves more than 1.2 million users.

“By bridging Lightning and stablecoins in a single, compliant platform, Speed is positioning itself as foundational infrastructure for the Bitcoin and stablecoin economy, serving merchants, platforms and users across both developed and emerging markets,” Gebner said in the post.

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Databricks Targets $134 Billion Valuation in New Funding Round | PYMNTS.com

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Data analytics/artificial intelligence (AI) firm Databricks is reportedly raising $4 billion in a new funding round.

This Series L round would value the company at $134 billion, up 34% from its last session of funding during the summer, the Wall Street Journal (WSJ) reported Tuesday (Dec. 16).

Ali Ghodsi, Databricks’ co-founder and CEO, told the WSJ the company plans to use the new funding to invest in its core data-analytics products and AI software, while also letting its workers engage in secondary share sales.

The company, among the most valuable private firms in Silicon Valley, also plans to hire around 600 fresh college graduates in 2026, the CEO added, in addition to adding thousands of new jobs worldwide in Asia, Latin America and Europe. It also plans to hire AI researchers, who are typically paid top salaries, the WSJ added.

The report noted that Databricks has benefited from the AI boom, which relies partially on private corporate data to customize AI models. Databricks told the WSJ that its data-warehousing product, which can serve as an underlying data platform for AI services, surpassed a $1 billion revenue run rate at the end of October.

This year has seen Databricks ink deals with OpenAI and Anthropic to help sell AI services to business customers. Each of these partnerships are designed to push clients to develop AI agents, or independent bots that can carry out tasks on behalf of humans.

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The company’s new funding round comes three months after Databricks’ Series K round, which valued it more than $100 billion, up from $62 billion at the start of the year.

In other AI news, PYMNTS wrote earlier this week about The General Intelligence Company of New York, a start up developing agent-based systems designed to take over large portions of company operations.

“The company’s name deliberately evokes Gilded Age ambition, and founder Andrew Pignanelli told PYMNTS that the reference was intentional,” that report said. “He said he views AI as foundational infrastructure for the next era of company-building, much as railroads and industrial capital reshaped the United States economy more than a century ago.”

The company started by working backward from “the one-person billion-dollar business,” as Pignanelli termed it.

“We started at the end, the actual one-person billion-dollar company, and worked our way back and we were like, ‘What can we do today?’” he said.

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Apple App Store Fees Face Pressure From EU Developers | PYMNTS.com

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A collection of app developers and consumer groups want Europe to enforce laws against Apple.

The Coalition of App Fairness (CAF) on Monday (Dec. 15) issued an open letter to the European Commission (EC) accusing the tech giant of “persistent” non-compliance with Europe’s Digital Markets Act (DMA).

The letter follows findings from the EC that Apple had violated the DMA by keeping developers from directing users to alternative payment methods, fining the tech giant $588 million.

Apple in turn revised its terms for its app store to impose fees that ranged from from 13% for smaller businesses to up to 20% for App Store purchases. However, the CAF says Apple has not addressed what it calls a core issue: the company’s fees are preventing fair competition.

“The law says that gatekeepers like Apple must allow developers to offer and conduct transactions outside of the App Store free of charge,” the letter said. “However, Apple is now charging developers commission, fees of up to 20% for such transactions. This is a blatant disregard for the law with the potential to vanquish years of meaningful work by the Commission.”

The CAF also notes that Apple plans to introduce new terms and conditions for the App Store next month, and says it suspects the new terms will include fees that violate the DMA.

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“Apple cannot be permitted to exploit its gatekeeper position by holding the entire industry hostage,” the letter added.

PYMNTS has contacted Apple for comment but has not yet gotten a reply. The company had in September called on the commission to rethink the DMA, which was created to prevent market abuse by tech giants doing business in Europe.

“Over that time, it’s become clear that the DMA is leading to a worse experience for Apple users in the EU,” Apple wrote in a blog post. “It’s exposing them to new risks, and disrupting the simple, seamless way their Apple products work together. And as new technologies come out, our European users’ Apple products will only fall further behind.”

In its blog post, Apple argued the DMA requirements for allowing other app marketplaces and alternative payment systems don’t take into account the privacy and security standards of the App Store, putting customers at risk for being overcharged or scammed.

“The DMA also lets other companies request access to user data and core technologies of Apple products,” the company wrote. “Apple is required to meet almost every request, even if they create serious risks for our users.”

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