We're THRILLED to be included for the 6th time on the @Inc #Inc5000 list for 2024! 🎉 With 231% 3-year growth, @SupportNinja is ranked No. 2254. Learn more 👀 hubs.li/Q02L8p490 #SupportNinja #Outsourcing2pointOh #Outsourcing #BusinessGrowth

Your agents can only do so much when company policies work against them. ⚠️ Rigid returns, confusing billing, and difficult cancellations frustrate customers and erode loyalty. Explore how customer-friendly policies improve CX. 🔗 hubs.li/Q04BTWt10

What if AI’s biggest opportunity is visibility? 👀 In Forbes, SupportNinja CEO Craig Crisler explores how AI can uncover customer friction, reveal broken workflows, and help companies improve CX at scale. 🔗 hubs.li/Q04BSPPN0

From a 1-star to a 4-star BBB rating. ⭐ SupportNinja helped a sports and fan apparel retailer rebuild customer trust, achieve record-high CSAT of 85–90%, and reduce escalated complaints to zero. See how we did it. 🔗 hubs.li/Q04BSMNd0

AI deployment is just the beginning. 🤖 In 360 Magazine, SupportNinja CTO Ken Braatz discusses why ongoing operational discipline is essential to AI success and how our Human-in-the-Loop AI Operations approach helps companies sustain performance. 🔗 hubs.li/Q04BSLZK0

Should AI handle every customer support ticket? 🤔 From password resets to billing disputes, different situations call for different approaches. Explore how to decide when AI should take the lead and when human judgment matters most. 🔗 hubs.li/Q04BHp330

Ever explained your issue to an AI chatbot, only to repeat everything when you reach a human? 🤔 SupportNinja SVP of Service Delivery Omeed Jafari explores how companies can improve AI-to-human handoffs and reduce customer frustration. 🔗 hubs.li/Q04BHn7w0

How much time do your engineers spend on routine customer questions? 🤔 We helped an IoT and eSIM provider scale to 24/7 Tier 1 technical customer support, achieving 90%+ first contact resolution despite a 50%+ volume spike. 🔗 hubs.li/Q04BHkZm0

Salesforce’s outcome-based AI pricing raises a big question: What counts as a successful resolution? 🤔 SupportNinja CEO Craig Crisler argues that solving customer problems matters more than closing tickets. 🔗 hubs.li/Q04BvMmr0

You’ve invested in AI and seen promising results. So why is scaling still a struggle? 🤔 Only 23% of organizations have fully operationalized AI across core CX workflows. Explore the 4 stages of AI maturity and how to move beyond Stage 2.5. 🔗 hubs.li/Q04BvK0P0

Waiting until renewal deadlines approach can create unnecessary friction. 📅 SupportNinja helped a global SaaS company improve renewal forecasting, identify churn risks earlier, and achieve 8% quarterly growth in multi-year renewal value. 🔗 hubs.li/Q04BrvWD0

As companies prepare for 2027, where will human judgment matter most? 🤔 SupportNinja CEO Craig Crisler joins a Forbes Technology Council Expert Panel to discuss why leaders should listen to the people closest to the work as AI evolves. 🔗 hubs.li/Q04BrsWq0

Who’s responsible for keeping your AI performing after launch? 🤔 SupportNinja’s Human-in-the-Loop (HITL) AI Operations approach helps companies manage quality, exceptions, accountability, and continuous improvement after launch. 🔗 hubs.li/Q04Bq-t10

Your AI gives a customer the wrong answer. Someone fixes it. But what happens when the issue keeps coming back? 🤔 SupportNinja CEO Craig Crisler explores why clear ownership is critical to improving AI performance after launch. 🔗 hubs.li/Q04Bl-rR0

More customer data means more value. Right? 🤔 More sensitive information also means greater security risk. SupportNinja CTO Ken Braatz tells IT Brew why businesses should question how much customer data they collect. 🔗 hubs.li/Q04BlX9H0

Everyone talks about keeping humans in the loop. But who’s keeping AI on track after launch? 🤔 SupportNinja CTO Ken Braatz explores how Human-in-the-Loop (HITL) AI Operations drives accountability and continuous improvement. 🔗 hubs.li/Q04Bk_RX0

Outdated policies and conflicting documentation can undermine AI performance. 📚 SupportNinja CTO Ken Braatz shares seven practices for keeping your knowledge base accurate, including learning from AI failures and regularly auditing content. 🔗 hubs.li/Q04B9BbR0

You’ve assessed your AI readiness. Now what? 🤔 Learn six practical steps you can take in the next 30 days to move AI initiatives forward, from establishing ownership and auditing data to gathering frontline feedback and defining measurable CX KPIs. 🔗 hubs.li/Q04B4bgn0

Who owns the decision when AI gets something wrong? 🤔 Without clear ownership and intervention processes, issues go unresolved. How clearly defined is decision-making authority in your AI workflows today? 👇

Scaling global logistics support takes clear ownership and consistent processes. 🚚 SupportNinja helped one company cut response times from 72 to 12 hours, reduce ticket resolution to 3–4 minutes, and nearly eliminate costly workflow errors. 🔗 hubs.li/Q04zQNJG0

A luxury brand’s chatbot delivered generic responses that clashed with its high-touch CX. SupportNinja CEO Craig Crisler shares how a different AI approach helped in a conversation with Dr. Gleb Tsipursky for The World Financial Review. 🔗 hubs.li/Q04zQJzn0