AWS re:Invent 2025 - From automation to autonomy: How AWS Partners drive SMB AI evolution at scale

Summary of AWS re:Invent 2025 Presentation: "From automation to autonomy: How AWS Partners drive SMB AI evolution at scale"

Overview

• The presentation was delivered by Nikki Mosheri, a Worldwide Partner SMB Specialist at AWS.
• The goal was to provide clarity on how small and medium businesses (SMBs) can leverage AWS partners to adopt and scale AI effectively.
• Key topics covered include a 7-step framework for SMBs to approach AI, the role of AWS partner competencies, and signs of successful AI implementation.

The SMB AI Opportunity

• SMBs represent 98% of all businesses globally, employ 67% of workers, and generate 45% of global GDP.
• 77% of SMBs expect AI to help automate workflows from start to finish.
• SMBs are actively investing in AI, allocating 17% of their IT budgets on average, with plans to increase investment by over 25%.
• However, over 80% of SMBs report missed opportunities due to the complexity of AI and talent shortages.

7-Step Framework for SMB AI Adoption

1. Identify the Business Problem: Focus on operational pain points and challenges, not just technology capabilities.
2. Start Smart and Simple: Begin with pre-packaged AI solutions to quickly realize value, rather than complex custom projects.
3. Build a Solid Data Foundation: Ensure data quality, hygiene, and relevance as the foundation for effective AI.
4. Bridge the Talent Gap: Leverage AWS partners with AI expertise instead of trying to hire in-house.
5. Simplify Integration with Comprehensive Solutions: AWS partners offer integrated solutions to address integration challenges.
6. Secure Your Future with Hybrid AI: Leverage hybrid AI approaches to balance cloud benefits with data security requirements.
7. Embrace Agentic AI: Explore autonomous AI capabilities that can independently execute tasks, once the foundational steps are in place.

The Role of AWS Partner Competencies

• AWS SMB Competency Partners are specialized partners that undergo a rigorous technical audit to validate their relevance and success in serving SMB customers.
• Key criteria include self-deployable solutions, established SMB practices, and global coverage.
• SMBs can leverage these competency partners to navigate the AI journey and access the right expertise and solutions.

Measuring AI Success

• Key signs of successful AI implementation include:
  • Faster time-to-value, such as reduced operational costs, improved productivity, and increased revenue/customer satisfaction.
• Pitfalls to avoid:
  • Starting with overly complex, long-term problems instead of focused, short-term business challenges.
  • Chasing shiny new technologies instead of addressing core business needs.
  • Neglecting data quality and foundation, as "what you put in is what you get" with AI.

Conclusion

• The future of AI is within reach for SMBs, with the right partner support and a structured approach.
• SMBs can lead the AI revolution by leveraging the 7-step framework and AWS partner competencies to drive tangible business impact.