How ComplianceQuest uses AI to boost customer success

Cassie Kozyrkov , Google’s former Chief Decision Scientist, shared this story from 2023 in a recent Cresta webinar. (Story and webinar link in the comments.) Your business might not run a call center. But planning to use AI for customer emails, chat, or support? This lesson still applies. So why are companies deploying these bots? Because they can deliver better customer experiences. Better than automated rule-based systems. You know, the ones where you press “0” and end up in hold-music purgatory. GenAI designed well can: ✔️ Personalize interactions, not script them ✔️ Carry context across every channel ✔️ Detect frustration in real time ✔️ Hand off a clean summary to the human agent ✔️ Give your team more time for complex issues ✔️ Leave customers feeling heard and cared for But the risks are real. Cassie and Cresta’s Devon Mychal explained how to avoid them: ➡️ Choose a proven partner.  DIY may seem cheaper, but one mistake can torch your reputation and margin. ➡️ Set guardrails.  Define what AI can promise and when to escalate. ➡️ Launch in stages.  Start small, monitor closely, adapt fast. That’s how you avoid PR and bottom-line nightmares. Cassie’s prediction: customer expectations will rise quickly. Better bot experiences today will be table stakes tomorrow. Key takeaway: The future of CX isn’t human or AI—it’s human plus AI, done right.

Claude is a brilliant product when Anthropic doesn't degrade it. Last week, I used Claude intensively. Sessions were interrupted because of usage limits, but no mention of weekly quotas. This week, with less intensive usage, a warning appeared mid session: "You are nearing the limit of your weekly usage." How close to the limit? Unknown. What happens when I hit it? Unknown. When did my week start? Unknown. How long until reset? Unknown. I checked the documentation: "There is a weekly quota." That's it. Nothing more. I had no access to human support, and the chatbot I'd dealt with for a previous problem should embarrass any AI company. My options: wait for an unknown period of time while I have urgent work to do, upgrade immediately, or use another AI. If I were an enterprise client, I might have access to a human who could explain it. That human could collect intelligence about what drives churn. Perhaps Anthropic will discover through analytics what I could have told them directly: unclear constraints kill customer confidence faster than clear limits. Anthropic isn't alone in this. All the major AI vendors I've used treat customers badly. And it's not just this industry - fewer and fewer companies treat customers as the reason for their existence. But without customers there are no companies. Here is the most important takeaway: Documentation is cheaper than customer support, and both cost less than losing customers. #BusinessArchitecture #CustomerExperience #OperationalExcellence

𝗠𝗼𝘀𝘁 𝗔𝗜 𝗽𝗿𝗼𝗷𝗲𝗰𝘁𝘀 𝗱𝗼𝗻’𝘁 𝘀𝘁𝗮𝗹𝗹 𝗯𝗲𝗰𝗮𝘂𝘀𝗲 𝗺𝗼𝗱𝗲𝗹𝘀 𝗮𝗿𝗲 𝗯𝗮𝗱—𝘁𝗵𝗲𝘆 𝘀𝘁𝗮𝗹𝗹 𝗯𝗲𝗰𝗮𝘂𝘀𝗲 𝗻𝗼𝗯𝗼𝗱𝘆 𝗸𝗻𝗼𝘄𝘀 𝗵𝗼𝘄 𝘁𝗵𝗲𝘆 𝘄𝗼𝗿𝗸. 𝗧𝗿𝘂𝘀𝘁, 𝗻𝗼𝘁 𝗷𝘂𝘀𝘁 𝗮𝗰𝗰𝘂𝗿𝗮𝗰𝘆, 𝗶𝘀 𝘄𝗵𝗮𝘁 𝗴𝗲𝘁𝘀 𝘁𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝘆 𝗮𝗱𝗼𝗽𝘁𝗲𝗱. A few years ago, we developed and deployed an advanced AI solution for B2B fin Financial Services. Unlike most launches, we made a bold choice: customer service teams could directly validate every result, ask tough questions, and explore the model’s logic—no black boxes, no guessing. What happened next? Adoption exploded. In just 6 months, 150+ customers rolled the capability into their workflows, with real business impact. No more “mystery math” slowdowns—just daily confidence. Here’s what we learned about explainable AI: - Transparency breeds trust—Users buy in when they can see under the hood. - User validation isn’t a “risk”—it’s your launch accelerator. - Workflow fit matters as much as accuracy—If results can’t be integrated in day2 day work process, they won’t get used. Most teams keep chasing performance at the cost of explainability—and that’s where real adoption fails. What’s the ONE thing that would make you trust an AI prediction at work? Have you ever rejected an AI solution because it felt like blackbox? why? How do you drive explainability and adoption of AI? #AIAdoption #Explainability #MachineLearning

Our latest case analysis dives into this paradox — revealing how emotions, not just ratings, hold the key to retention. It also explores, how no-code AI tools helped decode the hidden drivers behind customer churn. #CustomerRetention #ChurnAnalysis #SentimentAnalysis #NoCodeML   #DataDrivenDecisions #AIforBusiness #BusinessStrategy #CustomerExperience #OrangeML #PowerBI #DataStorytelling

AI Isn’t the Future ,It’s Your Business Partner Today Every growing business hits the same wall: time. Teams get buried under repetitive tasks, customer queries pile up, and decision-making slows. That’s where AI Automation steps in. From LLM-powered assistants to enterprise automation systems, AI doesn’t just save time it creates new opportunities for growth. A retail client I worked with used to spend 3 hours daily manually processing customer orders. After implementing a simple AI workflow, that time dropped to 15 minutes. The best part? The team now spends that “saved time” designing new campaigns and sales went up 22% in a single quarter. Their reaction? “Why didn’t we do this years ago?” Start by listing your team’s most repetitive 3 tasks. Pick ONE and test automation on it. Scale only after seeing results. Small wins stack into massive transformations. AI won’t steal your job. But it will steal the boring parts of it so you can finally have that second cup of coffee without guilt. What’s one task you’d happily hand over to AI tomorrow? #AIAutomationExpert #AIEngineerExpert #AIAutomationSolutions #AIBusinessAutomation #AISmartEnterpriseAutomation #AIChatbotExpert #LLMExpert #SpargusSolutions #MuhammadZainArshad

I just had my mind blown by an AI tool that's changing how we understand customer conversations. **Chorus.ai** - a conversation analytics platform that transcribes and analyzes every sales call to identify what actually drives conversions. Last month, our Goldwin AI sales team's close rate was stuck at 23%. I was frustrated, thinking it was a pricing issue. Then Chorus.ai revealed the truth: - Our top performer asks 67% more discovery questions - Deals close when we mention "ROI" within the first 8 minutes - Prospects who hear competitor comparisons are 3x more likely to buy - The word "implementation" kills 34% of deals in the proposal stage Armed with these insights, our team adjusted their approach. Result? Close rate jumped to 41% in just 3 weeks. But here's what's truly impressive - Chorus.ai doesn't just provide data. It offers real-time coaching suggestions during live calls and identifies at-risk deals before they go cold. For sales leaders wondering why your numbers aren't improving: the answer might be hiding in your conversations. **Chorus.ai** has become our secret weapon for predictable revenue growth. What's your experience with conversation analytics? Worth the investment? #SalesOptimization #ConversationAnalytics #RevenueGrowth #GoldwinAI --- 🔗 Demo available:  https://chorus.ai

**AI in Sales: Tools everywhere. Outcomes, not always.** By now, there’s probably not a sales team left that doesn’t use AI: - Meeting assistants take notes and schedule follow‑ups - ChatGPT or Perplexity compile account and stakeholder briefs - Copilot and Gemini tailor the pitch deck in minutes But across this jungle of tools and DIY workflows—how do you deliver 30%+ improvements in win rate at organizational scale? That’s the gap we focus on. Our latest Bain Technology Report 2025 lays out what actually moves the needle. --> How to redesign end‑to‑end motions --> How to wire data and governance the right way --> How to scale what works beyond a single team Want the playbook for real, repeatable ROI? → Check the chapter: https://bit.ly/3WDFk3w

What’s One AI Signal You Wish Your Dashboard Showed? Dashboards are great at showing performance. But what if they could show potential? Imagine a dashboard that surfaces: * Emerging customer intent * Hidden churn signals * Ethical risk exposure * Strategic misalignment in product usage These aren't just metrics - they are signals. GenAI is making it possible to surface them in real time. I happened to speak to a VP of Sales and he spoke about how they had trained a model to detect "deal fatigue" based on email tone and cadence. That signal helped rescue $8M in pipeline. What's one AI signal you wish your dashboard showed? #ExecutiveAnalytics #AIInsights #SignalDrivenStrategy #GenAI #TechLeadership #WeekendReflection

𝐈𝐧𝐭𝐫𝐨𝐝𝐮𝐜𝐢𝐧𝐠 𝐀𝐬𝐤 𝐀𝐈 𝐛𝐲 𝐌𝐢𝐚𝐑𝐞𝐜. Every customer conversation holds answers — why customers leave, why sales stall, and what’s really driving satisfaction. But for too long, those answers have been buried in reports that arrive too late. That ends now. Ask AI by MiaRec gives every leader an on-demand AI analyst — ready to uncover insights in seconds through a simple, conversational interface. No analysts. No dashboards. No waiting. Just answers that move your business forward. #AskAI #MiaRec #ConversationIntelligence #AIInnovation #CustomerExperience #CXTransformation #ArtificialIntelligence #AIFuture

Your customer doesn’t need another email. They need a follow-up that proves you listened. That’s why most follow-ups fail. They talk about you instead of the customer. And they feel like templates, not conversations. Here’s how I use AI to flip that script in 30 seconds: 💡 Context first I feed AI my call notes or last LinkedIn exchange. It pulls out what really mattered to the customer. 🎯 Value next AI suggests 2–3 tailored points that link directly to their needs. No fluff. No “Hope you’re doing well.” Just relevance. ✍️ Tone check I let it rewrite in my natural voice so it feels personal, not robotic. The result? The customer doesn’t feel like one of many. They feel like the one I remembered. AI gives me speed. But trust is what actually closes deals. 👉 Want the exact prompt I use? Comment “Prompt” below and I’ll send it to you.