91% of SMBs Using AI Increase Revenue: What They're Doing Differently

Salesforce published a global study that surveyed 3,350 small and medium business leaders about artificial intelligence use. The results are clear: 91% of SMBs that implemented AI report revenue increase.

But the benefits go beyond financial growth:

• 89% of US SMBs already use AI, especially to automate repetitive tasks and improve efficiency
• Generative AI adoption (like ChatGPT) jumped from 40% in 2024 to over 58% in 2025
• 95% of SMBs using AI for customer service report better response quality
• 92% have faster response times

The study also revealed that SMBs adopting AI are growing faster than those that don't, creating a significant competitive gap.

When analyzing SMBs that reported revenue increase with AI, the study identified clear patterns:

1. They started with specific problems, not technology Successful SMBs didn't ask "how can I use AI?". They asked "what business problems can AI solve?"

2. They focused on three main areas:

• Customer service: Faster responses and 24/7 availability
• Repetitive task automation: Free team time for higher-value tasks
• Data analysis: Make decisions based on patterns humans can't see

3. They adopted accessible tools first Most didn't start with complex custom AI projects. They used existing and accessible tools:

• Chatbots for service
• Generative AI to create content
• Simple automations for repetitive processes

4. They measured results from the start Successful SMBs defined clear metrics before implementing:

• How much time do we save?
• How many more customers can we serve?
• What's the impact on sales?
• How did customer satisfaction improve?

The study also revealed that some sectors are more advanced in AI adoption:

Technology and IT: 47% already use AI operationally

• Technical support automation
• AI-assisted software development
• Infrastructure management

Industry and Manufacturing: 44% use AI

• Equipment maintenance prediction
• Production process optimization
• Automated quality control

Retail and E-commerce: Rapid growth

• Personalized product recommendations
• Demand forecasting
• Dynamic pricing management
• Automated customer service

Professional Services (Accounting, Legal, Consulting)

• Document automation
• Contract analysis
• Report preparation

Health and Wellness

• Intelligent scheduling
• Symptom triage
• Medical records management

Real example from the study: reMarkable, a rapidly-growing Norwegian digital tablet company, implemented AI agents to scale customer service. The result: they can handle a growing volume of requests without proportionally increasing the team.

Based on SMBs that reported success, here's a practical plan:

Days 1-30: Discovery and Planning

1. Identify 3 processes that:
2. Consume a lot of team time
3. Are repetitive and follow patterns
4. Have direct impact on revenue or customer satisfaction

1. For each process, define:
2. How much time does it currently consume?
3. What does it cost (in work hours)?
4. What results would improve if the process were faster?

1. Choose ONE process to start (highest impact and lowest complexity)

Days 31-60: Pilot Implementation

1. Choose an AI tool or solution:
2. Most offer free trial periods (14-30 days)
3. Prioritize ease of use over advanced features
4. Confirm Portuguese support if needed

1. Configure the pilot:
2. Start with 20-30% of total process volume
3. Keep the old process running in parallel (safety)
4. Train 2-3 team members to use the tool

1. Measure results weekly:
2. Time saved
3. Quality maintained or improved
4. Problems encountered
5. Team and customer satisfaction

Days 61-90: Adjustment and Expansion

1. Analyze pilot results:
2. Does the ROI justify the investment?
3. Is the team comfortable with the tool?
4. What adjustments are needed?

1. Decide:
2. ✅ If successful: Expand to 100% of the process
3. 🔄 If partially successful: Adjust and test 30 more days
4. ❌ If it didn't work: Document learnings and test another solution

1. With one successfully automated process, repeat the cycle for the next process

Important: Successful SMBs did NOT try to automate everything at once. They built momentum with small, quick wins.

The numbers don't lie: a 91% success rate means AI has moved from experimental to proven effective for SMBs.

But there's a critical difference between SMBs that succeed and those that fail:

Those that succeed:

• Treat AI as a tool to solve business problems
• Start small and scale gradually
• Measure results objectively
• Involve the team in the process

Those that fail:

• Implement AI because "everyone's doing it"
• Try to transform everything at once
• Don't define success metrics
• Impose technology without consulting those who will use it

What we specifically recommend for Portuguese SMBs:

• ✅ Take advantage of ANIA: With €400 million in funding available, this is the ideal time to invest (see our article on funding)

• ✅ Focus on 90-day results: Short pilot projects allow quick adjustments and show ROI earlier

• ✅ Use the study as a benchmark: If 91% of SMBs increase revenue, you can too - as long as you follow best practices

• ✅ Don't go alone: Successful SMBs often work with specialized partners to accelerate implementation and avoid common mistakes

How Line Consulting AI can help:

We have proven experience helping Portuguese SMBs implement AI successfully. Our process:

1. Free diagnosis (1-2 hours): We identify the 3 highest-impact opportunities in your business
2. 90-day pilot project: We implement an AI solution in a critical process
3. Results measurement: We show clear ROI in time, money, and customer satisfaction
4. Team empowerment: We train your people to continue evolving the solution

Interested in joining the 91% of SMBs that increase revenue with AI? Contact us for a free assessment.