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Trust, not just technology: What I learned building AI finance tools for SMEs in Southeast Asia

When I started ccMonet.ai, my vision wasn’t just to automate accounting. It was to solve something deeper: the anxiety that small business owners feel when they lose control over their own numbers.

In Southeast Asia, most SMEs don’t operate with structured finance teams. They invoice via WhatsApp, track expenses with paper receipts, and rely on screenshots to reconcile payments. Automation in this environment can backfire. Without clarity, AI doesn’t solve chaos—it automates chaos.

The turning point

One of my early customers in Malaysia was exactly the kind of business we wanted to serve: tech-savvy, growth-minded, but drowning in receipts. We rolled out a fully automated stack—invoice scanning, categorisation, and real-time reporting. In theory, they just needed to upload documents and “magic” would happen.

But reality looked different. They double-checked every output manually. A single misclassified transaction shattered their confidence. One of the owners told me:

“This feels like an impossible mission: to trust something I don’t understand with something as sensitive as money.”

That sentence stuck with me. It was the best feedback we ever received. Because it revealed the real problem: trust, not technology.

We realised we weren’t just building accounting software. We were building peace of mind. That meant rethinking our product from the ground up—adding conversational explanations to every number, and embedding real human experts directly into the workflow.

Also Read: The rise of AI-powered investors: How technology is reshaping retail investing in Southeast Asia

Empowering people, not replacing them

Fast forward to today. Arteastiq Group, a multi-brand F&B operator in Singapore, faced the exact same challenges: manual invoice processing, reconciliation across brands, and delayed financial insights.

What they were looking for went beyond automation. They wanted greater visibility, clarity, and control. The approach that worked in their case combined fast, AI-driven data capture with a human element — a support model where experts familiar with local tax, accounting, and compliance could step in when needed.

The difference was tangible:

  • Month-end closing was reduced from 12–15 days to about 6–8
  • Claims and payment approvals moved faster, boosting internal satisfaction
  • Weekly summary reports gave leadership real-time clarity, allowing the finance team to spend more time on strategy than on troubleshooting

The key lesson for me was clear: automation on its own isn’t enough. When paired with human expertise, it can empower teams rather than replace them.

The future of SME finance

Through this journey, I’ve come to believe the next wave of fintech for SMEs in Southeast Asia will be built on four pillars:

  • Hyper-localisation: Finance tools must adapt to dozens of languages, tax systems, and workflows, not force standardisation.
  • Human-in-the-loop intelligence: AI can automate the back office, but humans remain critical for context, compliance, and trust.
  • Clarity over complexity: Dashboards will give way to interfaces that show only what business owners need, when they need it, in plain language.
  • Ecosystem-native integration: The best finance tools won’t be standalone apps. They’ll be embedded directly into banks, e-commerce platforms, CRMs, and even messaging apps.

Southeast Asia isn’t just a tough market—it’s a once-in-a-generation opportunity to reinvent SME finance for the messy, beautiful reality of how businesses here actually run.

At ccMonet.ai, our biggest lesson has been this: automation alone doesn’t win. Trust does. And trust is built when technology respects the way SMEs really operate—combining the speed of AI with the reassurance of human expertise.

Editor’s note: e27 aims to foster thought leadership by publishing views from the community. Share your opinion by submitting an article, video, podcast, or infographic.

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Singapore’s AI revolution and how SMEs can win in a high-risk landscape

Singapore ranks #three globally as an AI powerhouse, fuelled by a strategic government investment of SG$1.6 billion (US$1.2 billion), alongside US$26 billion committed by tech giants dedicated to AI research, infrastructure, and development. This impressive backing has propelled Singapore into a world-class AI hub, contributing 15 per cent of NVIDIA’s global revenue and nurturing an AI market expected to reach US$4.64 billion by 2030. 

Yet, while the city-state’s AI ecosystem flourishes, a critical reality shadows many AI initiatives worldwide: recent studies show about 95 per cent of AI projects fail to deliver meaningful return on investment (ROI).

For SMEs and startups in Singapore looking to leverage AI as a competitive advantage, understanding why so many projects fail and how to avoid common traps is vital.

Why do 95 per cent of AI projects fail? Lessons for Singapore’s SMEs

The prevailing cause of AI failure is not technology but execution. Many companies treat AI as plug-and-play magic, expecting flawless results from initial pilots or demos. However, real business environments are complex: inconsistent data, shifting metrics, and operational exceptions challenge AI models. This is especially true in finance and critical business functions where accuracy and repeatability are non-negotiable.

For example, a Singaporean fintech startup tried to implement an AI-powered credit risk model but struggled because their data was fragmented across multiple systems, and the model couldn’t adapt to sudden market changes. They had to pause and revamp their approach by investing in data integration and establishing continual model validation processes.

Building AI success from within: Training your internal teams

  • Systematic testing and controls: Teams should embed governance similar to financial controls which involves testing outputs continuously, validating with real-world data, and establishing checkpoints before deployment.
  • Human-in-the-loop processes: AI outputs must have iterative review cycles by domain experts to catch anomalies and refine decision-making.

Also Read: The 10x ROI advantage: How AI can supercharge your business growth

A healthcare startup in Singapore integrated AI diagnosis support tools but kept doctors in the loop to validate AI recommendations, ensuring reliability and increasing doctor confidence over time.

  • Focus on workflow integration: AI should enhance existing processes, not replace them abruptly. Success hinges on tight integration and feedback loops that improve AI over time.
  • Continuous learning and adaptation: AI teams must train extensively on evolving datasets and business contexts, avoiding static solutions that stagnate post-deployment.

How finance professionals can use AI

Use of AI tools could help finance professionals move from reporting numbers to strategic discussions, story telling and becoming more valuable business partners. Finance professionals could shift use of their time from data crunching, analysis, preparing reports and reporting numbers to creating more value for the business, strategising in the ever complex global macro economic environment and becoming future ready.

I call this shift from having a “CFO – Chief Financial Officer” mindset to “CFO – Chief Future Officer” helping the business to navigate the current complexities better and strengthening for the future. With AI tools this has become much easier. Also, its not any more only for CFO or C Suite executives but for all team members across the board. 

Example: In my company we are aggressively using and testing various AI Tools. We are also building our own tools to help our teams, our clients and the wider startup and business community in Singapore and beyond. Initial pilots clearly demonstrate:

  • Saving significant time
  • Adding more brain power / analytical power to discussions – some times beyond human capabilities 
  • Increase in productivity
  • Significant change in narrative from reporting numbers and data to insights to help the business grow

Having spent 25 years in finance, I’ve witnessed first-hand how the industry has evolved from ledger books to ERP systems to today’s AI-driven workflows. As someone who has advised leaders moving millions every day, I’ve seen how fragile processes can become without the right tools. That’s why I’m deeply invested in building AI solutions myself.

Also Read: Unleashing AI’s potential: The vital role of human guidance in AI’s growth and learning

For finance teams, AI is no longer a distant concept but a daily operational lever. Yet, adoption is tricky: studies show 95 per cent of AI pilots fail to deliver ROI, and 88 per cent never reach production. For finance leaders, avoiding “pilot purgatory” requires focusing on execution, integration, and human oversight.

Where AI creates impact

  • Forecasting and close cycles: AI accelerates financial close and improves forecast accuracy by up to 40 per cent, enabling faster scenario planning.
  • Fraud and risk detection: AI flags anomalies across millions of transactions, catching fraud or default signals earlier than manual reviews.
  • Error reduction and compliance: Automated reconciliation, journal entries, and invoicing reduce costly mistakes and strengthen audit trails.
  • Democratised insights: Natural-language tools let non-finance teams query reports instantly, widening access to financial intelligence .

Proof it works

Global leaders show what’s possible. JPMorgan credits AI with boosting asset management sales by 20 per cent, saving US$1.5B via fraud prevention and smarter credit decisions, and cutting servicing costs by 30 per cent. Over 200,000 staff now use AI tools daily, proving scale is achievable.

Also Read: Fragmented SaaS ecosystem drains time and efficiency for Singapore’s SMEs

Keys to success

  • Anchor in daily pain points: Start with close automation, forecasting, or fraud detection—problems that matter most to finance teams.
  • Think beyond pilots: Design AI to be production-ready with governance, validation checkpoints, and modular agents.
  • Keep humans in the loop: Finance experts must validate outputs—essential for risk-sensitive decisions.
  • Measure ROI on clear KPIs: Track time saved, errors reduced, and forecast accuracy, not vanity metrics.
  • Up-skill finance teams: Equip professionals to act as AI supervisors, boosting confidence and adoption.

Seizing Singapore’s AI opportunity

With such robust government and industry support bolstering AI innovation, Singapore’s startups and SMEs have a unique environment to experiment and grow. But the lessons are clear: success requires marrying Singapore’s infrastructure advantages with disciplined, expert-driven AI adoption strategies.

The AI revolution isn’t simply about tools or funding it’s about how companies design, control, and evolve their AI systems. Singapore’s vibrant ecosystem offers fertile ground for those prepared to master AI’s complexity rather than be consumed by its hype.

Editor’s note: e27 aims to foster thought leadership by publishing views from the community. Share your opinion by submitting an article, video, podcast, or infographic.

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AI, authenticity and the future of founder storytelling

In Southeast Asia’s fast-paced, dense startup ecosystem, content has become strategic currency. To stay visible and top of mind of investors and customers, founders are expected to move at a relentless pace when it comes to producing blogs, LinkedIn posts, thought leadership articles, as well as keynote talking points.

With this in mind, AI tools like ChatGPT, Claude, and more promise to meet this demand of speed, efficiency, scalability and insight.

However, as we learn with anything, where there is speed, there’s often a trade-off. While AI accelerates output, it often does so at the expense of accuracy and authenticity.

The results of AI-generated content often seem a bit too safe, even to the extent of sounding too scripted and far from how an actual person would converse. In a world where you need a bit of a personal touch to stand out and build trust, losing this can be a risky gamble for your brand.

The human-AI conflict

AI can be a powerful asset when leveraged correctly; it automates routine tasks, generates ideas, provides data-driven insights, and helps you stay ahead of trends. Yet, despite its capabilities, AI cannot replicate cultural nuances or the emotional depth that makes your story and your brand resonate with your target audience.

Sure AI can help optimise for engagement, but it won’t capture your unique perspective and the secret sauce to what connects you to your first believers, your investors and your customers.

Also Read: Bridging the last mile: How AI can transform agriculture, health, and education in SEA

The strategic blend of automation and human storytelling

So the question is, how do you as a founder use AI without sacrificing on trust and authenticity?

  • Use AI as a collaborator, not a replacement. Don’t go as far as replacing teams. In fact you should have your teams use AI to brainstorm and do the heavy research, while refining the narrative and output to reflect emotion and brand voice.
  • Ethical transparency. If you do use AI, especially when publishing public-facing content, as in the words of David Beckham, “Be honest.” This honest statement often will help build trust with your audience.
  • Integrate the human factor. Integrate your personal stories, customer experiences and team achievements to add the human insight to your sharings.

A strategic must-have

The most successful founders are those who know how to strike the right balance between delivering efficient content while ensuring it is authentic, credible and most importantly relatable to your audience. At the end of the day you need to remember who is seeing your content in the first place.

Moreso in this part of the region where cultural context and trust are key, authenticity is not an option or even a nice to have, it’s imperative and a competitive advantage.

AI is not going anywhere. But in this industry, learning how to use it to your advantage without compromising the elements that matter most to your target audience is what will win hearts and minds.

Editor’s note: e27 aims to foster thought leadership by publishing views from the community. Share your opinion by submitting an article, video, podcast, or infographic.

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Brinc expands Web3 ecosystem with OG Club acquisition

Manav Gupta, founder and CEO of Brinc

Brinc, a venture acceleration and corporate innovation company in Hong Kong, has announced its strategic acquisition of OG Club, a decentralised autonomous organisation (DAO) focused on Web3 innovation and entrepreneurship.

The details remain undisclosed.

This follows the acquisition of South Korea-based Next Stage Venture Studio in May this year.

Also Read: Brinc: Accelerating startups, Web3 ventures, and inclusive mentorship

OG Club’s acquisition marks a significant expansion of Brinc’s digital assets ecosystem, following the launch of its Token Advisory arm, Ignit3, in 2024, which operates alongside its existing Web3 accelerators.

Brinc is set to rebrand OG Club’s community as VentureVerse — an AI Venture Capital Operating System (OS) that aims to build the digital infrastructure for entrepreneurship. It will feature AI applications and agents designed to accelerate the founder journey across the entire venture lifecycle, with the goal of democratising and supporting founders globally to launch and scale impactful businesses.

“This acquisition represents a pivotal moment in our journey to create the most comprehensive Web3 ecosystem for startups, investors, and innovators,” Manav Gupta, founder and CEO of Brinc, stated. “OG Club’s proven track record in community building and ecosystem development, combined with our global accelerator network and digital assets platform, will create unprecedented opportunities for Web3 entrepreneurs worldwide. VentureVerse will become the nexus where innovation meets investment, powered by real utility through our upcoming token economy.”

VentureVerse embodies Brinc’s vision for the future of venture collaboration, integrating community engagement with cutting-edge AI tools and blockchain technology. This all-in-one ecosystem will allow startups to access funding, mentorship, and resources, while investors can discover high-quality deal flow through AI-powered insights.

A central component of the VentureVerse ecosystem will be the upcoming VentureVerse Token (VXV), a utility token asset that will provide seamless access to future AI applications and agents for founders and investors. The token is designed to power rewards, payments, and governance across the platform, fostering collaboration among startups, mentors, and investors.

Established in 2014, Brinc has launched multiple blockchain-focused accelerator programmes and supported over 1,250 companies, which collectively hold a market capitalisation exceeding US$1.6 billion. It operates programmes across seven countries, providing funding, mentorship, and tools to startups innovating in areas such as climate tech, Web3, healthcare, artificial intelligence, and IoT.

Also Read: Animoca Brands unit invests US$50M in Brinc’s metaverse accelerator programme

In 2021, the firm secured US$130 million led by Animoca Brands. A fe months later, the accelerator announced a partnership with Fusang Corp, which owns and operates a digital exchange for security tokens and assets.

OG Club was founded by Siv Souvam, Subhendu Panigrahi, Amit Kumar, Prajnyasis Biswal, and Abhisekh KumarSahoo. It has is a community within the Web3 ecosystem, having organised over 300 events globally and forged strong connections with more than 100 Web3 companies.

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The new succession: Charting the rise of Entrepreneurship Through Acquisition (ETA) in SEA – Part 1

In this inaugural piece of a four-part series, we explore Entrepreneurship Through Acquisition (ETA), an emerging global asset class that represents a fundamental shift in how ambitious professionals transition from corporate careers to business ownership.

This innovative model creates a unique value proposition for three critical constituencies:

  • Aspiring entrepreneurs, operators seeking meaningful ownership opportunities
  • Sophisticated investors pursuing attractive risk-adjusted returns
  • Established business owners contemplating strategic exit pathways.

We will examine ETA’s origins, core mechanisms, and how this structured yet flexible framework challenges conventional wisdom about business acquisition while democratising access to ownership opportunities previously reserved for the most well-capitalised individuals.

Foundation of ETA: From Stanford classroom to global asset class

ETA represents a distinct and increasingly popular path to business ownership. In contrast to the conventional model of starting a venture from the ground up, ETA allows entrepreneurs to acquire and operate already established and successful businesses.

This approach fundamentally de-risks the entrepreneurial journey by bypassing the perilous early “zero-to-one” stages of product development, market validation, and initial customer acquisition. Instead of building from zero, the entrepreneur acquires a company with existing assets, including employees, proven products, processes, and, most importantly, cash flow, allowing them to focus on strategies for scaling, or operational enhancement.

The primary investment vehicle that facilitates this model is the “search fund.” This concept originated in academia, developed in 1984 by Professor H. Irving Grousbeck at the Stanford Graduate School of Business as an innovative way to connect talented, ambitious graduates with opportunities to run small businesses. What began as a classroom experiment has since evolved into a billion-dollar global asset class, providing a structured pathway for aspiring entrepreneurs to achieve ownership without starting from scratch. Today, there are hundreds of search funds active in the US.

The growing legitimacy of ETA is evidenced by its integration into the curricula of premier business schools worldwide. Renowned institutions such as IESE Business School and INSEAD now offer specialised courses, workshops, and student-led clubs dedicated to the search fund model.

Such institutionalisation has created a robust pipeline of high quality, ambitious talent, equipping a new generation of leaders with the specific skills required to source, acquire, and manage small and medium-sized enterprises (SMEs), solidifying ETA as a respected and viable career path for mid-career professionals and MBA graduates alike.

Also Read: How blockchain is optimising payments, assets and workflows

How search fund works: A four-act play from search to exit

The search fund model follows a well-defined, multi-year lifecycle composed of 4 distinct stages. This structured process provides a clear roadmap for both the entrepreneur (the “Searcher”) and their investors, from the initial capital raise to the final exit. Searchers can be a solo founder or a partnership. 

Stages of a Search Fund

  • Stage one: Raising search capital (only applies to traditional search fund)

This applies only to the traditional search fund. For self-funded search funds, they may choose to skip this stage and go directly into the search for companies.

The searcher starts by raising an initial pool of capital, typically ranging from US$350,000 to US$500,000, from a group of investors. This initial funding is designated to cover the searcher’s modest salary and all expenses related to the search process, such as travel, legal fees, and preliminary due diligence.

To secure this capital, the searcher develops a comprehensive Private Placement Memorandum (PPM), serving as a business plan for the search, outlining the searcher’s background, investment thesis, target industries, geographic focus, and the proposed terms for investors. This phase typically takes up to 6 months to complete.

  • Stage two: The search and acquisition

The searcher actively sources potential acquisition targets, which can involve cold-calling, networking with brokers and industry contacts, and leveraging their investor network.

Once a promising company is identified, the searcher conducts exhaustive due diligence to validate the target’s financial and operational health. This stage involves complex negotiations on valuation and terms, culminating in a non-binding Letter of Intent (LOI).

Upon signing an LOI, the searcher returns to the initial investors, who have a pro-rata right, but not an obligation, to participate in a larger second round of capital required for the acquisition itself. If there is additional allocation, the searcher can open up to other investors to participate. This is often the most challenging and time-intensive phase, with a typical duration of 18 to 24 months. 

Also Read: Speaking before you scale: Your voice is your most powerful asset

  • Stage three: Operations and value creation

Following a successful acquisition, the searcher transitions to an operator, assuming the role of CEO of the acquired company. The major investors typically form a board of directors, providing governance and strategic mentorship. The focus during this stage, which can last from four to seven years or longer, is on long-term, sustainable value creation.

The new CEO implements growth strategies that may include optimising operations, introducing new technologies, expanding into new markets, or making strategic add-on acquisitions. This is where the searcher’s managerial acumen is tested as they lead the company into its next chapter of growth.

  • Stage four: The exit

The final stage of the lifecycle occurs once the company has achieved significant growth in value and profitability. The searcher and the board explore various exit strategies to realise returns for themselves and their investors. Common exit paths include a sale to a larger strategic buyer, a sale to a private equity firm, a recapitalisation of the business or an initial public offering.

The ETA model’s structure is not just a financial strategy but also a sophisticated human capital development platform. It self-selects high-potential individuals, often with strong academic credentials and professional experience, and provides them with the necessary capital and a framework of mentorship from seasoned investors.

By placing this talent at the helm of a single company with a long-term mandate, the model functions as a structured apprenticeship for becoming a successful CEO. This focus on cultivating leadership means that the success of a search fund is as dependent on the selection of the right person as it is on the selection of the right target, a dynamic that shapes how investors evaluate prospective searchers and how business schools prepare them for the journey.

A win-win-win proposition: Unpacking the benefits

The enduring appeal and rapid growth of the search fund model can be attributed to its unique ability to create a powerful alignment of interests, delivering distinct and compelling benefits to its 3 primary stakeholders: the acquired company and its seller, entrepreneur, and the investors.

  • For the acquired company and its seller

Particularly sellers nearing retirement without a clear family successor, a search fund presents an ideal solution to the challenge of business succession. It ensures a smooth ownership transition to a single, committed individual who is dedicated to preserving the company’s legacy, protecting its employees, and ensuring continuity for its customers.

Unlike a corporate or private equity acquirer who might consolidate operations or focus on short-term synergies, a searcher-led acquisition brings fresh energy, new ideas, and a long-term growth focus. The new leadership, backed by a network of investors, can also provide access to additional capital for growth initiatives that might have been out of reach for the previous owner.

Also Read: How the global growth of fintech defies age and gender

  • For the entrepreneur

The model offers a structured and de-risked path to becoming an equity-owning CEO. It allows ambitious individuals to bypass the high-failure-rate environment of a startup and instead take the helm of an established, cash-flowing business. This provides immediate income and a solid operational foundation.

More importantly, the searcher gains access to an invaluable resource: a dedicated board of experienced investors and operators. This “brain trust” provides critical mentorship, strategic guidance, and governance support, significantly increasing the likelihood of success for what is often a first-time CEO.

  • For the investors

Search funds provide access to a highly attractive, niche asset class across both private equity and private credit. They target profitable, stable SMEs that are typically too small for traditional private equity firms and thus operate in a less competitive M&A environment, often leading to more reasonable acquisition valuations.

Historically, the asset class has demonstrated strong returns, of beyond 20 per cent net IRR. Beyond the financial upside, the model offers investors a hands-on opportunity to mentor and shape the next generation of business leaders. Many derive significant personal satisfaction from serving on the board and contributing their expertise to the growth of both the entrepreneur and the company.

Having established the foundational framework and global context of ETA, our next instalment turns to Southeast Asia’s compelling investment landscape, where search funds and ETA models are poised for exceptional growth. We will examine the region’s dynamic small and medium enterprise ecosystem, analyse the unique market conditions that create fertile ground for ETA strategies, and explore why this traditionally Western investment approach may find its promising frontier in Southeast Asia’s rapidly evolving business environment.

Editor’s note: e27 aims to foster thought leadership by publishing views from the community. Share your opinion by submitting an article, video, podcast, or infographic.

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