How to Adopt New Technology in Small Businesses

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Summary

Adopting new technology in small businesses involves introducing innovative tools and systems, like AI, in a way that supports growth and improves efficiency without overwhelming limited resources. It’s about aligning new technology with existing workflows to create sustainable change.

  • Start with small steps: Focus on integrating technology into one or two key areas where it can provide immediate value, such as automating repetitive tasks or enhancing communication.
  • Involve your team: Educate and engage your team about the benefits of the new tools, ensuring they understand the purpose and how to use them effectively.
  • Integrate and adapt: Rather than viewing technology as an add-on, embed it into your daily processes and be ready to evaluate and refine its use regularly.
Summarized by AI based on LinkedIn member posts
  • View profile for Kira Makagon

    President and COO, RingCentral | Independent Board Director

    9,824 followers

    SMBs are facing a critical challenge: how to maximize efficiency, connectivity, and communication without massive resources. The answer? Strategic AI implementation. Many small business owners tell me they're intimidated by AI. But the truth is you don't need to overhaul your entire operation overnight. The most successful AI adoptions I've seen follow these six straightforward steps: 1️⃣ Identify Immediate Needs: Look for quick wins where AI can make an immediate impact. Customer response automation is often the perfect starting point because it delivers instant value while freeing your team for higher-value work. 2️⃣ Choose User-Friendly Tools: The best AI solutions integrate seamlessly with your existing technology stack. Don't force your team to learn entirely new systems. Find tools that enhance what you're already using. 3️⃣ Start Small, Scale Gradually: Begin with focused implementations in 1-2 key areas. This builds confidence, demonstrates value, and creates organizational momentum before expanding. 4️⃣ Measure and Adjust Continuously: Set clear KPIs from the start. Monitor performance religiously and be ready to refine your AI configurations to optimize results. 5️⃣ Invest in Team Education: The most overlooked success factor? Proper training. When your team understands both the "how" and "why" behind AI tools, adoption rates soar. 6️⃣ Look Beyond Automation: While efficiency gains are valuable, the real competitive advantage comes from AI-driven insights. Let the technology reveal patterns in your business processes and customer behaviors that inform better strategic decisions. The bottom line: AI adoption doesn't require disruption. The most effective approaches complement your existing workflows, enabling incremental improvements that compound over time. What's been your experience implementing AI in your business? I'd love to hear what's working (or not) for you in the comments below. #SmallBusiness #AI #BusinessStrategy #DigitalTransformation

  • View profile for Will McTighe

    LinkedIn & B2B Marketing Whisperer | Helped 600+ Founders & Execs Build Influence

    418,239 followers

    When I hear business owners saying they're just using ChatGPT, I think: "You're already 12 months behind." Here’s why: In the last 13 months, I’ve used AI to: → Create 500+ viral LinkedIn posts → Build 390,000+ engaged followers → Scale my startup to $500k ARR (just 2 of us) Most business owners are still thinking about using AI. And I get it. It seems daunting. But it’s just buried under too much noise. So, while traditional teams are still stuck in the “AI-assisted” mindset Smart teams are building entire businesses with AI: 3 core AI skills they’ve mastered: 1/ Prompt Engineering Treat every prompt like a mini brief - add role, action, context and expectation. 2/ AI-Assisted Decision Making Feed information into AI and ask for 3 scenarios: best, worst, likely. 3/ Workflow Automation Automate one task you repeat 3x a week. The implementation roadmap they follow: Step 1: Task Audit • Write down every task you repeat 3x a week. Step 2: Pick 1-3 Quick Wins • Admin tasks that save 30 mins - summarise discovery calls and draft the follow up email. Step 3: Test Small. • Run a small pilot before replacing core ops. Step 4: Train Your AI • Save prompts in your brand’s tone - refine until it sounds like you. Step 5: Integrate into Workflows • Add AI where it’s invisible: CRM, Slack, Docs. Step 6: Document SOPs • Save best prompts + workflows so they can be reused. Step 7: Review & Improve • Test new tools and workflows, double down on what creates most value. We should all be thinking - how can I use this as a force multiplier for my business Start with one task you do over and over. Set up a Zapier workflow for it today. That’s how small businesses scale with AI. 📌 Want a high-res PDF of this sheet? Get it here: https://lnkd.in/gKzZUq-b ♻️ Repost to help your network grow with AI. ➕ Follow me (Will McTighe) for more like this.

  • View profile for Shahed Islam

    Co-Founder And CEO @ SJ Innovation LLC | Strategic leader in AI solutions

    12,770 followers

    Every CEO I know is trying to figure out AI. But here’s the real challenge—adoption takes time. Just getting Microsoft Copilot or ChatGPT Premium isn’t the solution. The biggest struggle? Mindset. You can’t apply the same approach to everyone, and shifting the way people work takes effort. Recently, Akshata Alornekar (HR Manager) and Lidya Fernandes (Assistant Finance Manager)—who have a combined 30 years at SJI visiting NYC as part of our company policy to bring employees into different offices, helping them understand our culture and way of working. But what happened? → Every conversation turned into an AI hackathon. Spending time with us, we focused on showing them how @Shahera and I actively use AI in our daily work, not just talking about it, but demonstrating its impact. Seeing this firsthand shifted their perspective. “Before coming here, we were seeing AI from a 60 degree angle. But watching how you and the NYC team use it , it’s a full 180 degree shift!” This is why exposure and experience drive AI adoption. But many companies struggle because they treat AI like a tech upgrade. It’s not. AI adoption is a behavioral shift. How Companies Can Drive AI Adoption Effectively: → Lead from the Front AI is Not Just an IT Project C-level executives need to actively use AI in their own workflows. If leadership treats AI as an “IT tool” instead of a core business function, adoption will stall. Employees follow what leaders do, not just what they say. → Make AI a Part of Daily Workflows, Not Extra Work Employees resist AI when they see it as something “extra.” The best way to drive adoption? Embed AI into existing tasks automate reports, summarize meetings, or assist in decision-making. AI should feel like a time-saver, not another tool to manage. → Create AI Champions Inside the Organization Identify team members who are curious about AI and empower them to guide others. These AI champions can test new use cases, train colleagues, and help build momentum. AI adoption is easier when it spreads peer-to-peer, not just top-down. → Focus on Habit-Building, Not Just Training One-off AI workshops don’t work. AI adoption happens when employees use it consistently. Introduce small, daily challenges to get them comfortable just like Akshata and Lidya experienced in NYC. Seeing AI in action changed their perspective. → Repeat, Repeat, Repeat! AI adoption isn’t a one-time rollout—it’s a continuous process. Companies that embed AI into their culture, not just their technology, will be the ones that thrive. The companies that embrace AI culturally, not just technologically, will win. Are you leading AI adoption the right way? What’s been your biggest challenge? Let’s discuss.

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