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Isara @IsaraOfficial
Joined April 2025
  • Tweets 109
  • Following 15
  • Followers 24
72 Photos and videos
New in Isara: an API connector that takes any conversation you send us, a call, a chat, a community post or an AI agent log, and analyses it. Which channel in your stack is nobody reading yet? #CustomerSuccess #CX #ConversationIntelligence
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AI agents are closing tickets. But when one fabricates a policy or gives the wrong refund, your team owns it. Are your people trained to oversee AI, or just to use it? #AgenticAI #CustomerSupport #CX
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Your AI resolved tickets. Your platform says they went well. But your platform runs the AI and grades its own homework. Agent Intelligence gives you the independent view it cannot. Live today. What do you use to catch AI errors before customers do? #CustomerSupport #AIAgents #CX
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"Slop" is Merriam-Webster's 2025 Word of the Year. AI content that sounds coherent but says nothing. Who is checking that your AI agents are still producing real signal? #CustomerSupport #CX #AIAgents #CustomerSuccess
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Ad platforms couldn't grade their own performance. DoubleVerify fixed that. Customer-facing AI agents have the same problem. The vendor running your agent is also the one reporting on how well it did. Independent AI monitoring is the next category. #AIAgents #CX #AICompliance
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Isara is now on the @Freshdesk marketplace. Connect in minutes, no code. Independent visibility into what is actually happening in your support conversations. freshworks.com/apps/isara_2 What does your AI monitoring setup look like? #Freshdesk #AIAgents #CX
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The move from one percent QA sampling to full AI prioritised verification is accelerating. Leaders want visibility across all interactions, not a random slice. How is your team adapting to this shift? #CustomerSupport #CXLeaders #AIInSupport #CustomerSuccess
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If an AI agent gets something wrong, the risk sits with the firm. Consumer Duty already applies. The real question is simple. Can you stand behind the outcome? That is where AI agent monitoring comes in. That is what Isara is focused on. #FCA #ConsumerDuty #AI #Fintech
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More AI automation does not always mean more confidence. That is the self certification trap. At Isara, we think the next big question is whether companies can independently verify what their AI actually got right. Are most teams ready for that? #AI #AIAgent #CX
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Your AI agent may be inventing policies and making promises no one approved. Right now. At scale. Who's auditing it? And are they independent of the platform running it? That is where Isara steps in. #AICompliance #CustomerSupport #EUAIAct
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Your AI agent isn't failing because the model is bad. It's failing because your docs have gaps you haven't found yet. Are you building a feedback loop to make it smarter every week, or just hoping it improves on its own? #CustomerSupport #AIAgents #CX
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Your AI just sent a customer round in circles. No complaint. No ticket. Just a quiet decision to cancel next month. Isara's Customer Frustration Watch catches the exact moment efficient becomes infuriating. Measuring friction or just deflection rates? 👇 #CustomerSuccess #AIinCX
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Your AI agent can close tickets and still damage trust. CSAT will not reliably show hallucinations, tone drift, or quiet churn signals. That is why AI oversight matters. How are you monitoring AI quality today? #CustomerSupport #CustomerSuccess #AI
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Your dashboard says "Resolved," but Isara data shows that AI bots are 37% more likely to move customers away from a resolution. Are you relying on metrics that reflect true customer health? Read more: isara.ai/blog/ai-support-age… #AI #CustomerSupport #DataAnalytics #CustomerSuccess
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Based on what you see today, what impact are AI agents really having?
0% Customers are happier
0% Support is more helpful
0% Costs are lower
0% Benefits are unclear
0 votes • Final results
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The biggest AI risk in support is not always the obvious mistake. It is the silence after it. The answer sounds right, but the customer comes back later with less trust. Are you tracking that pattern? #CustomerSupport #AI #CX
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Most teams overbuild AI monitoring. The teams improving fastest do a short weekly review of the same signals, with clear decisions and owners. After a few weeks, patterns become clear and AI feels operational. At Isara, we see this in conversations. What is in your review?
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AI agents stall in pilots when outcomes are not controlled. Risk, low transparency, compliance. Isara measures real customer progress and flags repeat contacts and bad handoffs. What metric gives you confidence? #CustomerSupport #AIAgents
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Quiet AI failures hurt: wrong but confident answers, context free guidance, handoffs leaving the next person blind, loops with no progress. If it looks handled but the customer is still stuck, you pay later. Which one do you see most? #AI #CX #CustomerSuccess #CustomerSupport
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We have seen a few teams roll back their AI agent because it “resolved” chats, yet customers kept coming back with the same issue. After the chat ends, what signal tells you it is truly fixed? At Isara, we track repeat contacts, reopens, and escalation signals #SupportOps #AI
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