Business Uses for Artificial Intelligence

The highest-success AI use cases we’re seeing right now (across every industry) Most companies think they need some moonshot AI initiative to see real ROI. They don’t. The biggest wins we’re seeing come from very practical use cases: the ones that remove bottlenecks, eliminate manual work, and create cleaner, more predictable workflows. Here are the AI use cases with the highest probability of success right now: 1. Document Extraction & Parsing (High ROI, Fast Implementation) Every business processes documents: PDFs, contracts, invoices, reports, product sheets. AI can now: → Read and extract structured data → Clean it, categorize it, and validate it → Push it directly into CRMs, ERPs, Airtable, Monday, databases, etc. Huge impact anywhere teams are manually reading or retyping information. 2. Data Cleaning & Organization AI is extremely good at fixing messy data: → Duplicate detection → Categorization → Standardizing formats → Mapping unstructured data into relational databases If your team spends hours every week “cleaning things up,” this is a massive unlock. 3. Workflow Automation + AI Reasoning Traditional automation only handles rigid rules. AI handles the gray area. We’re seeing great results combining: → LLM decision-making → Automated data routing → Trigger-based workflows (Zapier, Make, n8n, Keragon) → Multi-step logic This is where operations start to run themselves. 4. Knowledge Agents Companies sit on years of documents no one wants to read. AI agents can: → Search across SOPs, PDFs, manuals → Answer questions instantly → Summarize long docs → Provide guidance based on internal knowledge Think of it as “ChatGPT trained on your company.” 5. Customer Support Automation High-probability win because the inputs are always the same: → FAQs → Policies → Product data → Past tickets AI support agents now handle 30–80% of inquiries instantly. Humans only handle the edge cases. 6. Data Enrichment & Research AI is extremely strong at: → Pulling missing fields → Categorizing leads → Finding insights in text → Enriching CRM records This removes so much manual research from sales and operations teams. 7. Workflow Reporting & Insight Generation Instead of scrolling dashboards, AI can: → Read your data → Identify patterns → Highlight issues → Generate weekly executive summaries It’s like adding an analyst to the team. 8. Content & Document Generation Based on Your Data Great for teams generating the same documents repeatedly: → Reports → Recommendations → Proposals → Product briefs → Training materials AI fills in the structure using real inputs. The bottom line is that you don’t need a moonshot. You need to identify the repetitive data work your team does, and replace it with AI + workflows. These use cases deliver the fastest, most predictable ROI in 2025. Follow me Luke Pierce for more content like this.

What Most Businesses Use AI For vs What They Should Be Using It For Let’s be real. Most businesses are using AI right now for small tasks: • Writing emails • Making social media posts • Summarizing meeting notes • Creating blog content • Answering basic customer questions That’s a start. But it’s just scratching the surface. If you want to grow, lead, and stay ahead, here’s what you should be using AI for: 1. Better Decision Making AI can help you look at data and find patterns. It can tell you what’s working, what’s not, and what to do next. Use AI to spot trends in customer behavior, marketing results, or sales performance. This saves time and leads to smarter choices. 2. Fixing Slow or Broken Systems Look at your day-to-day operations. What tasks take too long? What steps keep breaking? AI can help you speed things up, remove mistakes, and build stronger workflows. 3. Personalizing the Customer Experience People don’t want generic emails or messages. Use AI to understand what your customers really want and deliver it at the right time. That means better timing, better offers, and better service. 4. Helping Sales Teams Win AI can give your sales team the right words, answers, and ideas during calls and meetings. You can train AI with your best scripts and let it support your team with fast insights. It helps your team focus on people, not paperwork. 5. Creating New Ideas and Offers AI is great for brainstorming, testing new ideas, and helping you build faster. Want to try a new product or service? Use AI to explore the market, test messaging, and even build first drafts or prototypes. Here’s the real shift: Stop using AI just to get things done. Start using it to grow, lead, and innovate. AI is not here to replace you. It is here to help you think better, move faster, and focus on what matters. But it only works if you use it with intention. Play with it. Learn it. Break it. Improve it. Then bring it into your systems, your strategy, and your leadership. That’s how you win.

As a small business owner, I often find myself bogged down by limited resources. Over the past year, I have discovered multiple ways to use AI to streamline operations and reduce costs. I think now is good time to share some of these strategies with Linkedin network. 🧠 𝐃𝐞𝐜𝐢𝐬𝐢𝐨𝐧 𝐬𝐮𝐩𝐩𝐨𝐫𝐭 When facing a complex business decision, input key factors, constraints, and goals into an AI tool. Ask it to generate multiple solution scenarios, helping you break through mental blocks and consider fresh perspectives. 💡 𝐈𝐝𝐞𝐚𝐭𝐢𝐨𝐧 𝐟𝐚𝐜𝐢𝐥𝐢𝐭𝐚𝐭𝐢𝐨𝐧  A good question provides at least a half of the answer, right? Use AI to create thought-provoking questions and discussion topics based on your goals. This ensures a more focused and productive brainstorming sessions. 📅 𝐌𝐞𝐞𝐭𝐢𝐧𝐠 𝐞𝐟𝐟𝐢𝐜𝐢𝐞𝐧𝐜𝐲  Input meeting objectives and participant roles into an AI tool to generate a time-optimized agenda. Include instructions on specific discussion points to keep meetings on track and purpose-driven. 📊 𝐏𝐫𝐨𝐣𝐞𝐜𝐭 𝐦𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭  Feed project goals, list of tasks and deliverables, deadlines, and resource constraints into AI to generate a preliminary project roadmap, or analyze existing plans. Use this as a starting point for team discussions, refining the plan based on human expertise and insights. 🕵️♂️ 𝐂𝐨𝐦𝐩𝐞𝐭𝐢𝐭𝐢𝐯𝐞 𝐢𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞  Use AI to regularly scan and summarize competitor websites, news articles, press releases, and social media posts. This provides a very time-efficient and continuously updated snapshot of market trends and competitor activities. 🎯 𝐋𝐞𝐚𝐝 𝐠𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐨𝐧 Input your ideal customer profile into AI to find matching companies. Adjust your search by having AI apply filters or explore similar businesses in other sectors or regions. Use the list to craft personalized outreach strategies tailored to each prospect. 🔍 𝐊𝐧𝐨𝐰𝐥𝐞𝐝𝐠𝐞 𝐚𝐜𝐪𝐮𝐢𝐬𝐢𝐭𝐢𝐨𝐧  When tackling a new topic, technology, or market, use AI to quickly generate a comprehensive overview. This rapid synthesis offers a solid foundation for deeper human analysis and informed decision-making. 📈 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐢𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞  Use AI to analyze raw data. Have it identify bad data (empty cells or non-sensical values) to ensure cleanliness before analysis. Once verified, use AI to spot trends and anomalies. This ensures that your data-driven strategies and business decisions are based on reliable, high-quality information. ✍️𝐋𝐞𝐠𝐚𝐥 𝐬𝐮𝐩𝐩𝐨𝐫𝐭  For smaller teams, AI can serve as a valuable first line of defense by scanning contracts for potential risks and suggesting improved wording without changing the document’s essence. It ensures basic legal coverage and flags areas for professional review, helping balance protection with resource efficiency. 𝑫𝒐 𝒚𝒐𝒖 𝒉𝒂𝒗𝒆 𝒊𝒅𝒆𝒂𝒔 𝒕𝒐 𝒂𝒅𝒅 𝒕𝒐 𝒕𝒉𝒊𝒔 𝒍𝒊𝒔𝒕? 𝑷𝒍𝒆𝒂𝒔𝒆 𝒔𝒉𝒂𝒓𝒆 𝒕𝒉𝒆𝒎 ���𝒏 𝒕𝒉𝒆 𝒄𝒐𝒎𝒎𝒆𝒏𝒕𝒔!

10 use cases for how I use AI assistants and tools to transform my consulting business and deliver more value to clients. Part 2 Yesterday, I shared some AI use cases and how I enhance my work as a consultant with AI. Today, I share five more. Disclaimer: Protecting client data is, of course, a top priority for me. Here is Part 2: 5 AI use cases for my work as a consultant 🚀 ✅ Template Drafting for My Membership Area I create content myself and then use AI to review it from my client’s perspective. Afterwards, I use Canva to design and format the content according to my branding. ✅ Client Meeting Summaries and Next-Step Documents I don’t like to record meetings with clients — protecting personal data is critical, and often, recording is not allowed. I respect that. Instead, I anonymize my meeting notes and ask my AI assistant to review them, checking if any important information or perspectives might be missing. This way, I can reveal hidden gaps that are crucial to move projects forward.   ✅ Co-Creation in Client Workshops In workshops with clients, I dedicate time to bringing in an AI assistant to help summarize our results, analyze missing perspectives, or brainstorm ideas. ✅ Playbooks Instead of sending clients a 70-page static PDF report, I use an AI assistant to help create interactive playbooks customized to the client’s specific pain points — and easily updated as the project evolves. Additionally, I can provide a communication kit to support their internal communication efforts. ✅ Content Creation I use my own custom AI assistant to create drafts for my LinkedIn posts, whitepapers, blogs, and case studies. This assistant is trained on my content and my voice to generate authentic pieces that truly represent me. 👉 Please let me know your thoughts on this. Do you have similar work and tasks, and do you already use AI?

How We Use AI to Streamline Our Processes: A Real-Life Example Responding to Requests for Proposals (RFPs) is a common yet resource intensive task for many businesses, including ours at Verimatrix. While many RFPs request similar types of information, each company's unique format and phrasing often demand extensive manual work, something difficult to automate using traditional rules-based systems. Fortunately, with 30 years of experience, Verimatrix has accumulated a large database of previous RFP responses and legal contracts, ideal for training an an AI . By training an LLM solely on our historical data, we reduce external noise and mitigate the risk of AI hallucinations. Today, when an RFP arrives, our AI drafts a response in seconds. Though the accuracy is around 90-95%, a manual review is still necessary to ensure precision. Nonetheless, this approach saves considerable time for our engineers and legal teams. It's a practical use of AI to address real-world business tasks. AI doesn’t always mean radical transformation, sometimes, it's just about working smarter and saving valuable time. #AIinBusiness #SmartAutomation #WorkSmarter #EfficiencyBoost #RealWorldAI #Verimatrix

I've seen AI transform businesses. AI's biggest value for your business lies in automation, enhanced data analytics, and improved decision-making. Here’s how AI can revolutionize your operations: 1) AI Automation • Automate repetitive tasks like checking emails, inputting data, and generating reports. • Save time, boost productivity, and reduce human error. • Engage your team by allowing them to focus on meaningful work. A 2024 survey by Duke University and the Federal Reserve Banks found that 40% of businesses used AI tools to automate tasks in the past year, and 54% plan to do so in the next year. 2) Enhanced Data Analytics • AI and machine learning analyze vast amounts of data quickly. • Identify patterns and trends that humans might miss. • Predict outcomes based on historical data. Research from Wavestone shows that 62% of senior data leaders prioritize generative AI, with nearly 90% increasing investment in 2024. AI can predict customer churn, flag fraud, and project revenue trends. 3) Improved Decision-Making • Use AI insights to identify new business opportunities. • Flag operational roadblocks and personalize offerings. • Prepare for potential challenges. Airlines use predictive AI to optimize ticket prices by analyzing demand patterns, consumer behavior, and competition in real-time. AI offers significant benefits, but human expertise is essential to ensure accuracy and credibility. Embrace AI to transform your business functions and stay ahead in the competitive landscape.

I'm on track to do $8M this year. I don’t have a massive team or work 80-hour weeks. My secret? AI agents that do most of the heavy lifting. Here are the 10 ACTUAL AI use-cases running in my business right now: 1. Call audits and analysis Every sales call gets transcribed by AI, graded across multiple categories, and fired straight to Slack. • Who's closing well • Who's fumbling objections • Why leads aren't converting No manager sitting there listening to recordings all day. 2. Automated client onboarding Once a new client signs, AI triggers the entire backend: • Account setup • Welcome sequence • Team assignments • First-week checklist delivered Used to take someone a full day per new client. Now it runs without anyone touching it. 3. Visual dashboards and automated reporting AI pulls data from every platform into one dashboard. Performance summaries, KPI tracking, trend spotting. All updated automatically. No more spending hours building client reports in spreadsheets every week. 4. Managing ads at scale AI monitors performance across all ad accounts, flags what's underperforming, and highlights what's working. What used to take a media buyer hours of manual review happens in minutes. One person can now manage what used to require a full team. 5. CFO agent Tracks your P&L, flags overspend, monitors cash flow, and sends you financial summaries. It’s like having a fractional CFO running in the background 24/7. 6. Churn detection AI monitors client behavior patterns and flags accounts at risk of churning. You get the alert before the client even thinks about canceling. This is where most businesses lose money without realizing it. 7. CSM co-pilot Handles client check-ins, auto-responds to routine questions, flags issues that actually need human attention, and keeps accounts engaged. Your customer-facing team can manage way more accounts without burning out. 8. CRM lead nurturing and organization AI organizes your pipeline, scores leads, sends follow-ups, and keeps your CRM clean. No more leads falling through the cracks because someone forgot to follow up on a Tuesday. 9. Content ideation, scripting, and iteration AI generates content ideas based on what's actually performing, writes drafts, and iterates based on feedback. You get a full content pipeline running with minimal human input. 10. Data management and diagnosing constraints This is the one most people don't think about. AI finds the bottlenecks you can't see: • Where leads drop off • Where fulfillment breaks • Where money leaks out of your business It diagnoses the constraint before you even know it exists. Interested in finding out how you can implement this into your business? I'll run a free AI ROI audit on your business showing exactly which roles you can automate and how much you'll save in payroll. If it doesn't save you $50k/year in payroll, you don't pay. DM me "INSTALL" and I'll send you more details on how it work

Ok family, let’s talk about it…Most people are using AI like Google… that’s a big problem. Tools like Claude aren’t just for asking questions. They’re built to think, build, automate, and execute with you. If you’re a small to mid-sized business owner, here’s how you should actually be using it: 🔹 1. Chat (Your Thinking Partner) Stop asking surface-level questions. Use it for: • Strategy breakdowns • Financial modeling scenarios • Contract analysis • Market positioning ✅ Treat it like a second brain, not a search engine. 🔹 2. Reasoning (Extended Thinking) This is where the real value lives. Instead of: “Give me an answer” Ask: “Walk me through this step-by-step…” Use it for: • Deal structuring • Risk analysis • Operational decisions ✅ This is how you go from guessing… to informed decision-making. 🔹 3. Build (Artifacts) Most people don’t realize this… AI can actually produce usable business tools. • Budget trackers • Pricing calculators • SOPs • Proposal templates ✅ Not ideas… deliverables. 🔹 4. Automation (Workflow Support) If you’re still doing everything manually, you’re behind. Use AI to: • Process documents • Summarize reports • Generate client-ready outputs ✅ Save time. Increase capacity. Scale smarter. 🔹 5. Integrations (Your Ecosystem) Connect your tools. Slack. Google Drive. Notion. CRM systems. ✅ AI becomes powerful when it operates inside your workflow, not outside of it. 🔹 6. Context (Projects) Stop starting from scratch every time. Upload: • Brand voice • Past work • Financials • SOPs ✅ Now AI responds with your business context, not generic answers. 🔹 7. Instructions (Skills) Train it once… use it repeatedly. Create instruction sets for: • Marketing tone • Proposal writing • Client communication ✅ This is how you build consistency at scale. 🔹 8. Coding / Developer Layer Even if you’re not technical… You can still: • Automate processes • Build internal tools • Improve efficiency ✅ This is where AI shifts from assistant… to operator. 🔹 9. Browser / Research Let AI do the heavy lifting. • Market research • Competitor analysis • Data gathering ✅ Hours of work… reduced to minutes. Here’s the truth, Knowledge is not power…Execution within context is. ♟️ Most businesses fail with AI because they: ❌ Don’t understand how to use it ❌ Don’t apply it to real workflows ❌ Don’t build systems around it At ABS / BANKREADY®️, we don’t just show you tools… We show you how to integrate AI into your business model, operations, and revenue strategy. 📅 Book a 90-minute AI Strategy Session Let’s break down: • How AI fits into YOUR business • What to automate • What to build • How to scale with it 🦾 Because AI isn’t the advantage…how you use it is. #BANKREADYAI #AustinBusinessStrategies #AIForBusiness #SmallBusinessGrowth #Automation #DigitalTransformation #Entrepreneurship

I was impressed last week hearing ServiceNow’s CPO/COO, Amit Zavery, talk about how they’ve adopted AI into their everyday business processes. Below are six ways ServiceNow is using AI and honestly, it’s what every enterprise should be aiming for: 1. HR Recruiting: parsing resumes, matching candidates to roles, screening applicants and predicting hiring needs, cutting time-to-hire significantly while reducing bias. 2. Customer Service: Using AI for conversational self-service, resolving issues instantly. AI summarizes cases, routes them smartly, and pull answers from knowledge bases, slashing resolution times. 3. Multi-Language Support: AI enables real-time translation and culturally aware responses scaling global support without added staff. 4. Finance Forecasting: Using AI to analyze data for accurate budget and revenue forecasts. 5. Code testing/ QA: Using AI to automate testing, catching bugs and vulnerabilities. 6. Business Process Automation: Using AI to unify workflows across HR, IT, and finance, automating complex tasks across functions. The key takeway? Enterprises leveraging AI to automate their projects, processes, and tasks are setting themselves up for a major competitive advantage.