🏢 The potential of AI for SMEs

It does the job for you

We're no longer talking about a 10% increase in productivity, but about the autonomous completion of a task up to 95%.

Provided you clearly define the desired input and output.

AI can make you more competitive with larger enterprises

The adoption of AI allows SMEs to compete with large companies by optimizing processes, reducing costs, and improving the offering of products/services

Personalization, growth and retention

Using AI to better understand customers, anticipate their needs, and offer personalized experiences. It can be used both as a growth lever and to reduce churn rate.

✍🏼 What are AI models capable of?

Generation

Create original and personalized multi-modal content: texts, images, videos, code. Ideal for marketing, communication, and product development.

Summarization

Summarize documents, articles, contracts, and reports into a few key points. Save time and simplify the analysis of large volumes of information

Research

Find relevant information quickly and efficiently. Access data, studies, and useful resources directly from your systems (like an internal Google) or externally

Understanding

Analyze texts and data to extract information, identify trends and sentiment. Obtain valuable insights and plan what to do with this information

Execution

Automate repetitive and complex tasks. AI can understand, plan, and execute. Generate code, control devices, automate processes with AI.

🚨 What business problems can AI solve?

AI is the greatest equalizer for SMBs, but how can you spot problems solvable with AI?

Headcount limitations

Are there departments where you would like to hire new people? To perform what activities?

Capital limitations

Are there departments where you think you need to invest capital? To do what?

Expertise limitations

Do you think you have limitations in skills and knowledge in some areas of your company?

🔓Where can AI unlock additional value?

1. Identify Key Processes: Which are the critical processes that run your business??

• Sales & Marketing (lead generation, customer acquisition, content creation etc.)

• Operations (production, inventory management, logistics)

• Customer Service (support, feedback analysis, issue resolution)

• Finance & Administration (invoicing, reporting, compliance)

• Product/Service Development (R&D, design, testing)

• Visualize the Flow: Create a visual representation of each process, outlining the steps, inputs, outputs, and stakeholders involved.

2. Identify Bottlenecks and Inefficiencies: what slows everything else down?

• Analyze Pain Points: what’s wrong?

  • Delays or slowdowns

  • Errors or inconsistencies

  • Manual, repetitive tasks

  • Data is underutilized or difficult to access

  • Decision-making is slow or based on incomplete information

• Quantify the Impact: Whenever possible, quantify the impact of these bottlenecks

  • How much time does this process take?

  • What are the consequences of these inefficiencies?

  • Are customers churning because of poor customer support?

  • How much sales are we losing because of these errors?

3. Evaluate AI's Potential for Optimization

• Match AI Capabilities to Bottlenecks: For each identified bottleneck, consider which AI capabilities could be applied.

  • Automation: can AI automate repetitive tasks or streamline workflows?

  • Prediction: can AI predict future trends or outcomes?

  • Analysis: Can AI analyze large datasets of text data to uncover insights? (e.g., customer sentiment analysis, market trend analysis)

  • Personalization: Can AI personalize customer experiences? (e.g., product recommendations, personalized marketing)

  • Generation: Can AI create content to improve efficiency? (e.g. creating product descriptions, or marketing copy)

• Assess Feasibility and ROI: Evaluate the feasibility of implementing AI solutions, considering factors such as:

  • Data availability and quality.

  • Technical expertise required.

  • Cost of implementation.

  • Potential return on investment (ROI).