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
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
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
"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
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
Isara is now on the @Freshdesk marketplace.
Connect in minutes, no code. Independent visibility into what is actually happening in your support conversations.
https://t.co/KaAqIZ7ZK9
What does your AI monitoring setup look like?
#Freshdesk#AIAgents#CX
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
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
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
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
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
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? π
#CustomerSuccess#AIinCX
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
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: https://t.co/TOlwv1iu3K
#AI#CustomerSupport#DataAnalytics#CustomerSuccess
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
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?
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
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
@atShruti This resonates. The real issue is not early churn but whether AI truly solved the customer problem. Conversation-level insight is what reveals hidden friction and protects retention.