Your Start-up Team: Launch a Business with AI Agents

4

October

2025

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I’ve always wanted to start a business, but I can’t help but question if I’d ever be courageous enough to do so, despite the enormous sense of commitment that comes with it. The other day, I watched a highly inspirational video by a young billionaire, Iman Gadzhi (Iman Gadzhi, 2025), urging young adults to seize entrepreneurial opportunities, as he believes that 2025 may be the last year when so many GenAI-driven possibilities.

Iman elaborated that in the modern era, AI not only eliminates the need to hire employees, but it also reduces the need to learn new soft or hard skills through self-study or degrees. Consequently, this further reduces the need to build internal capabilities, which may help avoid the often high start-up expenses. With the rise and integration of AI into various global industries, AI agents have enabled the delivery of highly value-generating services that were previously performed by human employees (EuroNews, 2024). Many of these can serve as replacements for the start-up team that a young entrepreneur may hire.

How could this look like in practice?

Common beginning stages of establishing a successful business idea include performing Market research. Zach Cohen and Seema Amble argue that AI is on the verge of completely transforming traditional market research practices, claiming that AI tools can produce faster, smarter, and cheaper results than a single human, providing insight into the latest trends, customer demographics, and interesting directions for business development (Amble, 2025).

Furthermore, AI agents facilitate Business Plan development, generate financial forecasts, suggest creative pitches, draft business canvases, and identify strategic growth prospects (Investopedia, 2025). For digital products or prototypes, AI accelerates rapid prototyping. Modern AI constructs comprehensive marketing strategies, supports brand development (such as logo or vision creation), launches websites, drives targeted promotional campaigns, and analyzes social media outreach, collectively boosting sales and building a competitive edge (Shopify, 2025).

Finally, bookkeeping, expense tracking, and budgeting can all be performed with the support of AI tools, making it not only accurate but also highly predictive and empirical, with additional features that can help choose a scaling/growth strategy that is most suitable for the business (BotKeeper, 2025).

However, it is necessary to recognize that, first and foremost, several essential steps in company growth, such as decision making, concept validation, and customer service, continue to rely on human resources. Second, AI does not replace all aspects of a job, and while it can help during the start-up period, adding people would be a natural next step for scaling and developing the business, since it is never a one-man show.

Amble, Z.C., Seema, 2025 Faster, Smarter, Cheaper: AI Is Reinventing Market Research. Andreessen Horowitz. Available at: https://a16z.com/ai-market-research/ (Accessed 2 October 2025).

Iman Gadzhi, 2025 2025 Will Be The Last “Easy” Year For Making Money Online,

BotKeeper, 2025, AI for Accounting: How AI is Transforming the Profession Available at: https://www.botkeeper.com/ai-for-accounting (Accessed 2 October 2025).

EuroNews, 2024, Do humans work better with AI? Study shows which tasks benefit most Available at: http://www.euronews.com/next/2024/11/01/humans-or-ai-study-shows-which-tasks-benefit-most-from-using-artificial-intelligence (Accessed 2 October 2025).

Investopedia, 2025, How to Use AI in Business Planning Available at: https://www.investopedia.com/how-to-use-ai-in-business-planning-8610190 (Accessed 2 October 2025).

Shopify, 2025, How To Use AI in Market Research and Boost Sales (2025) Available at: https://www.shopify.com/blog/ai-in-market-research (Accessed 2 October 2025).

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Unicorn Status App that Empowers Women’s Health

15

September

2025

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Yet, how does one get the knowledge and support needed to gain a better understanding of their own cycle?

In 2015, Dmitry and Yuri Gurski from Belarus focused on a big, underserved market with minimal competition and created Flo, a disruptive app that used predictive technology, data analytics ,and AI to guide women’s reproductive and general wellness (Olabinjo, 2024). Today, this all-in-all tracker with its engaging interface and personalized features is an absolute industry leader with 45 million active users worldwide. In 2022, the company expanded into B2B, catering to businesses looking to educate and empower their female employees through data-powered features like Health Insights, Health reports, and an AI symptom assistant (Flo, 2022). 

Established as an omnichannel digital business model, Flo’s architecture produces significant value for users while concentrating on retention loops. The data gathering process begins with the first login, and with each subsequent data input, the predictions get more accurate, encouraging better customization and helping the user to achieve their goals faster. Retention is an important KPI for apps. Aside from great personalization, Flo used various additional strategic techniques to retain customers. For example, messages with data logging reminders or heads-ups for impending activities that are scheduled with predefined intervals. Furthermore, the software developers continuously offered and introduced additional value-generating features such as Secret Chats (a place to secretly discuss private matters) and Flo Stories (identical to Instagram Stories).

Personally, I’ve been a long-time user of the app and have seen how quickly it has evolved and expanded, thanks not just to the seamlessly integrated customer experience, but also to community-building activities, strong privacy, and evidence-based insights.

Nevertheless, despite this nearly flawless success story of a unique and well-executed niche-market company idea, the road is not always lined with roses. In the backdrop of multiple challenges with data monetization posed by the launch of the decentralized Web 2.0, which began a year before Flo’s establishment (Harvard Business Review, 2022), the company recently got involved in a big public controversy concerning selling personal data to Meta for targeted advertisements without user consent (Sifted, 2025). This demonstrates how important it is for any fast-paced, disruptive company to constantly maintain control of its processes and ensure data protection at all costs before losing its established competitive advantage.

List of References:

The Diary of a CEO, 2025 Exercise & Nutrition Scientist: The Truth About Exercise On Your Period! Take These 4 Supplements!,

Flo, 2022, Flo Health Launches Flo for Business, An Inclusive Approach to Women’s Health for Employees Available at: https://flo.health/newsroom/flo-for-business-launch (Accessed 13 September 2025).

Harvard Business Review, 2022, What Is Web3? Available at: https://hbr.org/2022/05/what-is-web3 (Accessed 15 September 2025).

Olabinjo, A., 2024, Flo Growth Case Study: How This Women’s Health App Became A Unicorn Available at: https://growthcasestudies.com/p/flo-growth-case-study (Accessed 13 September 2025).

Sifted, 2025, Flo Health faces multi-billion dollar lawsuit over claims it unlawfully shared data with Meta Available at: https://sifted.eu/articles/flo-health-meta-court-case-privacy/ (Accessed 15 September 2025).

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