📊 Data-driven decisions or gut feeling? The choice is clear, but the path isn't always easy. Did you know that 92% of companies struggle to become data-driven? Here's why it matters: 1. Increased efficiency 2. Better customer insights 3. Competitive advantage Amazon's success story: Using data to personalize recommendations, resulting in 35% of sales. Challenges: • Data quality issues • Lack of data literacy • Resistance to change But the rewards are worth it. Companies using data-driven strategies are 23 times more likely to acquire customers. Ready to transform your business with data? 💡 Share your data journey below. What's your biggest challenge?
RAC Projects AI
Business Consulting and Services
Sandusky, Ohio 7 followers
Harness AI to amplify the human efforts to supercharge your lead flow, and automate your client outreach.
About us
Harness AI to amplify the human efforts to supercharge your lead flow, and automate your client outreach. Book a call to discuss tailor-made strategies to help you grow, so you can spend more time closing deals than nurturing leads.
- Website
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http://www.racprojects.ai
External link for RAC Projects AI
- Industry
- Business Consulting and Services
- Company size
- 2-10 employees
- Headquarters
- Sandusky, Ohio
- Type
- Self-Owned
- Founded
- 2017
- Specialties
- Consulting, AI, Automation, Voice AI, AI Chat, Custom, Lead Generation, and Lead Qualifying
Locations
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Primary
Get directions
Sandusky, Ohio 44870, US
Employees at RAC Projects AI
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Ed Krystosik
I Build Custom AI Voice, Chat & Automation Solutions for Business Owners to Drive Revenue Growth & ROI | Co-Founder of RAC/AI Automation Agency
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Amy Krystosik
Global Health Epidemiologist, Data Scientist
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Jeremy Krystosik
Sr. Loan Officer | Nexa | CEO & Co-Founder | RAC Projects AI
Updates
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📊 Shocking stat: 90% of startups fail. But why? The answer might surprise you. It's not always about the product or market fit. Often, it's about the founder's mindset. Three key traits separate successful founders: 1. Resilience 2. Adaptability 3. Continuous learning Take Airbnb's Brian Chesky. Rejected 7 times by investors, he persevered. Amazon's Jeff Bezos pivoted from books to "everything store." Netflix's Reed Hastings transformed from DVD rentals to streaming giant. These founders didn't just survive - they thrived. 🚀 Want to beat the odds? Cultivate these traits. 💡 What's your biggest entrepreneurial lesson? Share below!
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🚀 Attention entrepreneurs! Ready to skyrocket your business? 💡 Think you know everything about scaling? Think again. Scaling isn't just about growth—it's about smart, sustainable expansion. Three keys to successful scaling: 1. Strategic planning 2. Operational efficiency 3. Customer-centric approach Real-world success: Company X increased revenue by 300% in 18 months using these principles. Want to scale like a pro? Follow these steps: • Develop a clear vision • Build a strong team • Leverage technology • Focus on core competencies • Maintain quality as you grow 🔥 Remember: Scaling too fast can burn your business. Slow and steady wins the race. 👇 What's your biggest scaling challenge? Share below!
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🚀 Attention all CEOs and business leaders! 💼 Are you ready to unlock the secret to unstoppable growth? It's time to embrace the power of AI in your organization. Three key reasons to adopt AI now: 1. Boost productivity 2. Enhance decision-making 3. Stay ahead of the competition Companies leveraging AI are seeing higher revenue growth on average. Don't get left behind. Here's how to start: • Identify key areas for AI integration • Invest in employee AI training • Partner with AI experts to guide implementation The future is AI-driven. Will you lead or follow? 🔥 Share your thoughts: How are you incorporating AI into your business strategy?
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RAC Projects AI reposted this
I Build Custom AI Voice, Chat & Automation Solutions for Business Owners to Drive Revenue Growth & ROI | Co-Founder of RAC/AI Automation Agency
Big news: My bi-weekly newsletter The AI PMO is becoming The CAIO (CAIO: Chief AI Officer)! The first NEW issue comes out this Thursday, so make sure you're subscribed! Why the change? 🤷♂️ As I take on the challenge of a new role at work, I realized something crucial: my core mission hadn't changed. I'm still here to help you align AI strategy with your organization's goals. To my loyal readers: Thank you for being part of this journey. 🙏 Not subscribed yet? No problem, the link is in my bio. Your support means the world. Here's to learning and growing together!
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RAC Projects AI reposted this
I Build Custom AI Voice, Chat & Automation Solutions for Business Owners to Drive Revenue Growth & ROI | Co-Founder of RAC/AI Automation Agency
Warning: If your AI solutions provider isn't solving problems you didn't know you had, you're leaving value on the table. Here's proof... The next big shift in AI automation isn't just about delivering tools. It's about uncovering hidden value for clients. ⌛ The old way: • Focus solely on the defined scope • Deliver the promised AI tool • Ignore issues outside the project parameters ⌚ The new way: • Dig deeper into the client's overall setup • Identify and solve broader operational issues • Add value beyond the initial scope During a recent chatbot development project, we discovered a server-level sitemap issue the client wasn't aware of. This not only affected our ability to deliver the promised build but also prevented proper search engine indexing by Google! By addressing this problem, we delivered value far beyond our original scope. This approach isn't just about being nice. It's about differentiating ourselves in a competitive market. When we take the time to understand and solve broader client issues, we build stronger relationships and showcase our expertise. The future of AI automation lies in comprehensive problem-solving. It's not enough to simply deliver a tool. We must become partners in our clients' success, identifying and addressing issues that impact their overall business performance. This holistic approach is what will set successful AI automation agencies apart in the coming years. If you'd like to extract all the value from your business using the power of AI, send me a DM to start the conversation.
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I am of the same mindset as Mike Fishbein. Make sure to read his analysis! As the problems being solved get more specific with each SaaS subscription, I spend more time moving data around between them (or setting up automations to do the work for me!) than I save by using the SaaS in the first place. I now take a breath, diagram (in Figma) precisely what I'm trying to accomplish, and decide whether this problem is one I can solve myself without adding another subscription. More often than not, I usually can. And do. Fewer subscriptions and more control over my process. I like that world 🌎 .
I'm not sold on SaaS being the right delivery method for AI. AI is already changing how companies operate, it might change the SaaS business model too. Here's a bull and bear case for AI SaaS, and two hybrid methods I'm excited about. The Case for AI-Powered SaaS 1. Status Quo Bias—People are used to buying SaaS. It's the way we've always done it. Old habits die hard, especially for big companies. 2. Speed—VC-backed companies need to get value from investments fast or else they won't be able to raise their next round of funding and they die before realizing returns. 3. Insight—Many companies don't know what they need. Good SaaS vendors find problems and offer non-obvious solutions. The Case for Using LLMs Directly 1. Subscription Fatigue—People are tired of paying tens of thousands of dollars in combined rent every month, particularly now that the cost of using LLMs directly is plummeting to pennies. 2. Personalization—Solve all of the problems you have and none of the problems you don't have. Get solutions that are adapted to your process, methodology, and brand. 3. Security—The SaaS layer between you and the LLMs adds an additional security risk. What About Hybrid Methods? I'm excited about these two: • Bring Your Own API Keys—Unbundle the LLM capabilities from the SaaS layer. I love how Clay allows you to use your own OpenAI and Claude accounts from within their platform instead of marking up the cost. • Buy Once—Instead of paying subscription fee rent forever, buy your tools, run them and personalize them on your own, and reap the cost saving benefits for years to come. The LLM-powered SaaS vs direct to LLM decision probably varies by company type. VC-backed companies need speed to value, and big companies are bad at innovating. Maybe self-funded SMBs are better fit to create tools useing LLMs. They can change faster and make investments with a longer time horizon. We're probably a few years away from finding out how this plays out, and the cost-benefit equation will continue to change as LLM cost decreases and quality improves. What do you think is the best method?
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What if they're taking an Amazon approach? With everything Amazon does, they become their first customer. - We need data centers to power our ecomm ➡ AWS - We need fulfillment warehouses for our ecomm ➡ FBA Once it's built, they sell it as a product offering to their existing customers. Maybe Klarna plans to sell it as a platform to their customers who want to reduce their SaaS subscriptions. It seems like a stretch for a payments company, but what do I know?
Finance tip: Short sell every company doing what Klarna is doing... If you missed it, a few weeks back Klarna's CEO announced they're replacing Salesforce and Workday (among others) with their own AI-powered tools. While it sounds forward thinking on paper, here's 3 big challenges Klarna (and anyone else following suit) is going to face if they follow through: 1. Engineering mission drift Instead of aligning your entire engineering around a shared mission, you're now going to have a group of engineers focused on revolutionizing the payments space, and another group focused on building copycat tools. This isn't just a morale killer; it's a talent retention nightmare. Also, you've now just created a class system within your engineering org. Are you one of the privileged teams that gets to work on the core payments mission, or are you and your team stuck trying to re-build Salesforce. 2. Ongoing support and maintenance When you build it yourself, you own every bug, update, and issue. There's no vendor to call at 2AM when things crash. What happens when the payroll system glitches at month-end or the CRM goes down during quarter-end? You now need to hire folks specifically to support these systems. Also, let's not forget about regulatory compliance. Building GDPR-compliant tools from scratch isn't just hard; it's a constantly moving target with million-dollar consequences for mistakes and slip ups. 3. Lack of subject matter expertise Salesforce and Workday aren't startups. These companies have spent decades refining their products, guided by input from thousands of clients. They have teams of experts who think about CRM or HR all day, every day. Can Klarna really replicate that depth of expertise in-house? Doubt it. Also, these systems aren't static. They evolve with changing business needs, regulatory requirements, and technological advancements. Is Klarna prepared to keep up with all that while staying competitive in their core? Look, I'm obviously very biased here as someone that runs a SaaS business, but this seems like a way better marketing decision than a business one... Agree? Disagree? What am I missing? #ai #saas #crm #salesforce #workday #fintech #enterprise #software
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🏠 AI is revolutionizing real estate. Are you ready? Imagine never missing a client inquiry again. That's the power of AI. Real estate agents, it's time to embrace the future. AI isn't just a buzzword—it's your new secret weapon. Three ways AI can transform your business: 1. 24/7 customer service with chatbots 2. Data-driven insights into buyer preferences 3. Automated task management Top agencies are already seeing results. Don't get left behind. AI can: • Analyze market trends • Enhance customer engagement • Streamline processes But remember, AI complements your skills—it doesn't replace you. Your expertise is irreplaceable. Ready to supercharge your real estate business? Let's talk about integrating AI into your strategy. 🚀 Comment below to learn more! 👇
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📊 Shocking stat: 25% of small businesses are already using AI, with 12% higher profit growth! Want to join them? Here's how to implement AI cost-effectively: 1. Start small → Use pre-built solutions 2. Prioritize high ROI processes 3. Stage development over time 4. Leverage cloud computing 5. Explore no-code AI tools 🚀 Remember: Initial investment averages $5k-$30k, but ROI typically comes within 6-18 months. 💡 Key to success: Iterative approach + specific goals Don't let fear hold you back. AI is becoming more accessible every day. Which step will you take first to boost your business with AI? 🤔
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