People often say that AI is about boosting efficiency in B2B, but it might have a greater impact when used to improve quality. Efficiency is simple to measure. Quality is more subjective; it can often depend on perception. However, when examining some B2B companies that are truly transforming, a pattern emerges: → They don’t just automate tasks; they improve outcomes. → They use AI to make better decisions, not just faster ones. → They apply AI in areas where human judgement is most crucial, rather than where humans can easily be replaced. AI becomes powerful when it enhances quality, not just the speed of delivery. So, before prioritising efficiency, consider: could AI help us elevate quality standards instead? PS. How do you see AI improving the quality of your organisation?
Anders Bjorklund’s Post
More Relevant Posts
-
Would it be best for all of us to just stop talking about AI when evaluating technology? The only thing that matters is if your solutions provide functionality that adds value. If that includes AI, great. AI provides a unique set of tools that enable sellers to do things they could not do without it. The B2B sales tech winners will be the ones who are able to leverage this unique value to create value that is not possible without AI. Every vendor can deliver AI technology. The best integrate it with foundational features to deliver unique value. Do you know any vendors doing this? I'd love to hear about any unique use cases.
To view or add a comment, sign in
-
What's the difference? 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 (𝗩𝘀.) 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗜? Generative AI is reactive. You ask it to "draft an email." It creates the content. You still manage the process of copying, pasting, sending, and logging. Agentic AI is proactive. You give it a goal like "follow up with all new leads." The system manages the entire execution. It detects the lead, analyzes CRM data, drafts a personalized email, sends it, and logs the activity. 𝗢𝗻𝗲 𝗮𝘀𝘀𝗶𝘀𝘁𝘀 𝘄𝗶𝘁𝗵 𝘁𝗮𝘀𝗸𝘀. 𝗧𝗵𝗲 𝗼𝘁𝗵𝗲𝗿 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗲𝘀 𝗲𝗻𝘁𝗶𝗿𝗲 𝘄𝗼𝗿𝗸𝗳𝗹𝗼𝘄𝘀. For B2B teams, this is a massive shift. It means 24/7 lead qualification, dynamic customer journeys, and perfect handoffs to sales. Your team moves from repetitive tasks to high level strategy. The future of work isn't just assisting people. It's automating outcomes. #AgenticAI #AI #B2BSaaS GetReplies | Arjun Shenoy
To view or add a comment, sign in
-
Everyone wants AI in sales until they realize what it actually takes to make it work. We are looking at AI through three lenses: prospecting, engagement, and pipeline velocity. And the biggest takeaway? The toughest part isn't the tech - it's the sales process underneath it. Most teams still can't separate what actually drives revenue from the noise of the AI hype cycle. There's appetite, but also fatigue - especially from sales leaders burned by "AI SDRs" that spam prospects or dashboards that promise insights but deliver data dumps. Three weeks later, connect rates drop, and the enthusiasm disappears. That's not an AI problem. That's a foundation problem. - AI doesn't fix broken qualification frameworks. - It doesn't fix reps who can't articulate value. - It doesn't fix leadership that optimizes for activity over outcomes. AI awareness - not the surface-level "we use ChatGPT for emails" kind, but real understanding of what AI can actually execute vs. what still needs human judgment, is now a survival skill. Without it, no tool will deliver ROI, and no transformation will stick.
To view or add a comment, sign in
-
-
The minute businesses start prioritising how AI can save money, over how it can improve processes, is the minute they begin to sacrifice customer service. “Cost first” AI will almost always ignore the human or experiential part of a service, generally benefitting the business and not the customer (even though they claim it has been implemented for customer benefit). Short term savings are clear, but will inevitably lead to pissed off customers and damaged reputations (think chatbots / AI Agents vs human support). “Process First” AI is totally different. It makes workflows smoother and processes more efficient, leading to better service, long term loyalty, sustainable efficiency – and ultimately, greater revenues (think Uber vs traditional taxi rank). It’s pretty clear, AI that has people and processes at its heart will always trump AI designed to save money.
To view or add a comment, sign in
-
AI can’t replace the human connection. Many believe technology is taking over — that machines are replacing human effort. But the truth is simple: AI can only do what humans teach it to do. AI can process data faster, but it can’t build relationships. It can send messages, but it can’t feel trust. It can assist communication, but it can’t understand emotion. In industries like scrap trading, success still depends on trust, honesty, and genuine human connections — not just automation. Technology is here to support us, not replace us. Because no matter how advanced the tools become, the human touch remains irreplaceable. #HumanConnection #B2B #ScrapTrading #BusinessGrowth #RIM
To view or add a comment, sign in
-
-
CodeGen partnered with Hayleys Travels to streamline their operations with our conversational AI chatbot,LIA. Before LIA, Hayleys struggled with a high volume of calls and manual tasks, allocating significant resources to attend to queries and manually collecting data like identification documents for reservations. LIA addressed these challenges, making operations more efficient and allowing their team to focus on more important tasks, which improved service quality and the customer experience. . #AI #AIChatbot #CustomerSupport #Cruiselines #HospitalityIndustry #HayleysTravels #ClientSuccessStories #b2b #LIA #CodeGen
To view or add a comment, sign in
-
𝗧𝗵𝗲 𝗙𝘂𝘁𝘂𝗿𝗲 𝗼𝗳 𝗕𝟮𝗕 𝗦𝗮𝗹𝗲𝘀 (𝗔𝗜 + 𝗧𝗿𝘂𝘀𝘁) “AI will replace sales.” You’ve probably seen the headlines. But here’s the reality: in B2B, trust isn’t going anywhere. Million-dollar deals don’t close on clicks. They close on credibility, relationships, and confidence. AI won’t replace trust — but it will 𝘀𝘆𝘀𝘁𝗲𝗺𝗮𝘁𝗶𝘇𝗲 𝗶𝘁. Here’s how: • 𝗘𝗻𝗮𝗯𝗹𝗲𝗺𝗲𝗻𝘁: AI does the heavy lifting (research, prep, data). • 𝗜𝗻𝘀𝗶𝗴𝗵𝘁𝘀: AI identifies patterns and priorities. • 𝗦𝗰𝗮𝗹𝗶𝗻𝗴 𝗧𝗿𝘂𝘀𝘁: AI ensures consistent messaging, follow-up, and proof points. The future of B2B sales isn’t “AI instead of people.” It’s: 🔹 Trust as foundation 🔹 AI as amplifier 🔹 Systems as multiplier That’s exactly how the 𝗧𝗿𝘂𝘀𝘁𝗲𝗱 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲 𝗦𝘆𝘀𝘁𝗲𝗺™ works — blending human trust with AI and repeatable systems to create future-ready growth. 🤝 Explore how Trust + AI + Systems can future-proof your pipeline today. https://lnkd.in/gFCQdvyB #AI #B2BMarketing #TrustedPipeline #SalesEnablement #RevenueSystems
To view or add a comment, sign in
-
-
AI will handle $15 trillion in B2B purchases by 2028. Meanwhile, lawyers expect 2,000 'death by AI' lawsuits by 2026. Progress has a price. Gartner's 2026 predictions paint a fascinating picture. AI isn't just changing work - it's reshaping everything. The numbers tell the story: • 75% of hiring will require AI certifications by 2027 • 90% of B2B buying will go through AI agents • 50% of organizations will need "AI-free" skills tests • 20% of money transactions become programmable by 2030 We're facing a paradox. AI makes us more productive. But we risk losing critical thinking skills in the process. The solution isn't avoiding AI. It's finding balance. Smart organizations will automate the routine. They'll preserve human judgment for what matters most. The regulatory landscape will fragment across 50% of global economies. Companies will invest $5 billion just to stay compliant. This isn't just about technology anymore. It's about maintaining our humanity while embracing the future. The question isn't whether AI will transform everything. It's whether we'll guide that transformation wisely. How is your organization preparing for this AI-powered future? #AI #FutureOfWork #Leadership 𝐒𝐨𝐮𝐫𝐜𝐞: https://lnkd.in/gwXr8u5d
To view or add a comment, sign in
-
Not long ago, sourcing used to mean endless emails, chasing suppliers, late-night calls across time zones, and a ton of guesswork. That’s how the industry worked. Manual. Slow. Sometimes messy. But today? AI is rewriting the rules. Here’s the truth: AI won’t steal your job. But someone who knows how to use AI will. That’s not a threat, it’s a reality check. At Aaida Trading Services, we live this every day. We’re a sourcing company from India. And trust me, the game has changed. AI helps us: 1. Predict demand and avoid last-minute chaos 2. Spot quality issues before they become disasters 3. Talk to suppliers in real-time, no language barriers 4. Streamline boring, repetitive work so humans can do the creative stuff But here’s the thing Gen Z needs to hear — AI is not about replacing YOU. It’s about upgrading YOU. The person who knows how to blend their skills + AI tools = unstoppable. I believe the future belongs to professionals who aren’t afraid to experiment, learn, and apply AI to their craft. Whether you’re in sourcing, design, marketing, finance, or operations — this is your chance to stand out. So my question to you is: Are you just “watching” AI happen, or are you learning how to make it your edge? Because at Aaida, we’re not just using AI to make sourcing smarter. We’re using it to make people better.
To view or add a comment, sign in
-
More from this author
Explore related topics
- How AI Will Transform Business Practices
- How to Enhance Business Efficiency with AI Tools
- How to Use AI to Improve Business Processes
- How AI Boosts B2B Revenue Growth
- Using AI to Boost Work Efficiency
- How AI can Transform Supply Chain Management
- How AI is Changing Manufacturing Processes
- How AI Improves Code Quality Assurance
- Using AI to Improve Supply Chain Efficiency
- AI Applications for Improving Manufacturing Performance
Explore content categories
- Career
- Productivity
- Finance
- Soft Skills & Emotional Intelligence
- Project Management
- Education
- Technology
- Leadership
- Ecommerce
- User Experience
- Recruitment & HR
- Customer Experience
- Real Estate
- Marketing
- Sales
- Retail & Merchandising
- Science
- Supply Chain Management
- Future Of Work
- Consulting
- Writing
- Economics
- Artificial Intelligence
- Employee Experience
- Workplace Trends
- Fundraising
- Networking
- Corporate Social Responsibility
- Negotiation
- Communication
- Engineering
- Hospitality & Tourism
- Business Strategy
- Change Management
- Organizational Culture
- Design
- Innovation
- Event Planning
- Training & Development
Quality - Sustainability - Business Development
3wGood post Anders Björklund. I am starting to use AI for large data / measurement points to build paretos as a help for acting on what has the largest impact to failure modes. I.e. the same as I would do if the same data was easier accessible.