Case study for entrepreneurship support organizations: Team Building & Shareholders Agreement AI Assistant

An EOS AI Assistant solution for entrepreneurship support organizations (incubators, accelerators and ESOs in general) to help their entrepreneurs to easily access knowledge about  the key elements in building the founding team and team commitment, based on the deep entrepreneurship resources available at Startup Commons.

The Founders Shareholders' Agreement & Team Building Workshop by Startup Commons, which has been extensively consumed globally for over a decade, has been consolidated now into the first AI Assistant, covering the the team building and shareholders agreement AI topic.

Still in its early stage and with very limited knowledge, this AI Assistant has been mainly fed with webinar transcriptions and from now, will allow entrepreneurs to quickly get answers to some of the most relevant questions when an entrepreneur is building the founding team and team commitment:

• How to look for and communicate when looking for a co-founder?
• What are the big things to find alignment and how to talk about these topics?
• What kind of contracts should you draft or sign before you register a company with other people/another person and at what point should you start to consider those?
• How should we divide our ownership? What is the best logical way?
• For how long should this contract last?
• What if someone from your team leaves the company before the contract ends?
• Can you modify the contract if something doesn't go as you planned, and how do you go about doing that?
• What are some of the most relevant "what if" situations that may occur and how to handle those?
• Investors and SHA - The role of shareholder agreement in a fundraising process?
• Various SHA agreement types and what are the differences?

​What to Expect from Team Building & Shareholders Agreement AI Assistant from an entrepreneurship support organization perspective

• Quick Setup: Deployed in less than a week
• Focused Expertise: Directly built from Startup Commons webinar's transcription, it offers specialized knowledge on the discussed topics.

Pros: 

✔️ Instant access to the knowledge base
✔️ On-demand, interactive support to explore specific queries in multiple languages.
✔️ Based on the given information, the advice provided is well-grounded
✔️ Easily integrate the AI on any website.
✔️ Gain insights about the questions asked by the audience

Cons:

❗Limited scope, as it only contains information from one webinar.
❗It does not cover queries beyond the discussed topics.

​What to Expect from Team Building & Shareholders Agreement AI Assistant from an entrepreneur perspective

Pros: 

✔️ Time-saving
✔️ 24/7 availability
✔️ Immediate Access to Information
✔️Consistent Advice:

Cons:

❗Limited Range of Topics
❗Lack of Depth in Content
❗Inability to Handle Complex Queries

​Key Statistics and Insights For The Entrepreneurship Supporting Organizations Derived From Users Interactions

One of the key features of the Team Building & Shareholders Agreement AI Assistant is that you will also be able to know which questions this AI has been able to answer adequately and what the gaps are in the knowledge, which will allow us to improve it and provide better mentoring to entrepreneurs.

The video below is a screen recording of the detailed records of interactions in chronological order, showing:
​

• Date/Time (timestamp of the interaction),
  
• Statement (user's query or statement),
  
• Answer (the response provided to the user) and
  
• Score (a numerical score that helps determine which pieces of retrieved information are most likely to contribute meaningfully to generating a useful and accurate output for the user. It ensures that the generative model focuses on the most relevant data, improving the quality of the responses).

Additionally, in order to guarantee privacy in this test mode for the AI Assistant, relevant information from the user such as IP address, geolocation, browser type, operating system, device type, cookies, time zone or language preferences has been disabled.

In just over 10 days, some fundamental actionable insights can be extracted that will immediately contribute to improve the AI Assistant performance and therefore enhancing the user experience.

Let's do, as a first step,  a score summary:

Score Summary:

• Count: 61 scores were analyzed.
• Mean: The average score is approximately 0.336.
• Standard Deviation: The scores vary with a standard deviation of about 0.227.
• Minimum Score: The lowest score is 0.0.
• 25th Percentile: 25% of scores are at or below 0.21.
• Median (50th Percentile): Half of the scores are below 0.34.
• 75th Percentile: 75% of scores are below 0.54.
• Maximum Score: The highest score is 0.72.

Actions to Consider:

• Improvement of Low Scoring Responses: Identify the cases where scores are particularly low (near 0) to understand if the responses are off-topic, inaccurate, or not helpful. If they are inaccurate, we can directly update my knowledge base by providing the content that is demanded.

And then, let’s analyze common phrases to understand the actual questions or themes better. ​​

Here are some of the most common phrases found in the "Statement" column, which hint at recurring topics or questions:

• "empresas emergentes" (emerging companies) - Indicates frequent discussions or inquiries about startups.
• "company culture" and "foundational values" - Suggests a focus on establishing strong cultural foundations in early stages of business development.
• "qué medidas" (what measures) - Likely relates to what actions or strategies can be implemented in specific scenarios.
• "strong company" and "early stages" - Points to concerns about building a robust company from the beginning.
• "cultura empresarial" (corporate culture) - Indicates interest in how to develop or maintain a good corporate culture.

These topics may suggest that users are often interested in strategic advice for startups, particularly about building a strong foundational culture and implementing effective business strategies.

Actions to consider:

• Resource Development: Based on these common themes, we would consider reviewing the content addressing those questions and developing focused content in any format (guides, FAQs, or webinar transcription) that address these frequently asked questions more comprehensively.
• Feedback System Improvement: If these questions are repeatedly asked, it might indicate that existing responses or resources are not sufficiently addressing user needs or that the questions are globally common. Reviewing and enhancing these could be beneficial.

​Conclusions

By simply putting out this Team Building & Shareholders Agreement AI Assistant for some days, we are now able to capture insights that ​offer a multitude of strategic advantages:

1. It enhances entrepreneurs knowledge, allowing for a deeper understanding of their needs and preferences specifically on the topic matter, which in turn informs better resource allocation and this AI Assistant development.
2. Such a system improves customer service by refining response quality and efficiency, providing personalized experiences at scale, and maintaining high service levels.
3. This not only gives a competitive edge by identifying market trends and adapting to them proactively but also boosts operational efficiency through a real-time feedback loop.
4. Moreover, it enables scalable solutions that manage increasing interaction volumes cost-effectively

Therefore, this approach not only improves entrepreneurship support operations but also fundamentally enhances how support organizations engage with and serve their entrepreneurs, driving growth and satisfaction through test-measure-learn loops.