Insights

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This is where we share what’s working, what’s changing, and what’s next — real insights from the front lines of building smarter, faster, agentic AI systems.

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Recent Articles

Should we be using emotion detection AI?

Facial recognition software, stress scoring, and biometric surveillance in hiring and policing.

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Human + Machine = Emotional Intelligence

A Shift from Speed to Sensitivity  Emotion is rarely listed as a KPI. And yet, it influences nearly everything we…

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Even I don’t trust AI to work alone

ServiceNow’s CEO recently said they’re slowing down hiring for “soul-crushing jobs” and using AI agents instead.

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AI That Finds Solutions You Missed

Because that’s what real innovation looks like, but useful systems that quietly solve problems

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Introducing AISensum: Agentic AI Teammates for Business Transformation

In the rapidly evolving landscape of artificial intelligence, AISensum distinguishes itself not as a vendor of generic AI tools, but…

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What people ask me about GEO

Q&A: What people ask me about GEO 🔍
Every time we talk about GEO (Generative Engine Optimisation)

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You Caught The Long M-Dash

It hides at the 𝗯𝗲𝗴𝗶𝗻𝗻𝗶𝗻𝗴 of the next line.
Inside ChatGPT, everything looks clean.
But paste it into LinkedIn…

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Most Teams Drown in Spaghetti Processes

Walk into any large company and you’ll see the same thing: a once-simple workflow turned into a tangled mess.

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Invisible CX: When Customers Don’t Even Notice the AI

The smartest takeaway from Google’s AI Business Trends 2025 report is brutally simple

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Business Process Automation Isn’t Enough

Unlike traditional automation, which follows predefined rules, AI teammates operate across three capabilities

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Seadanya Is Not a Strategy

In competitive markets, a 0.1% loss triggers action. In protected ones, even 10% feels “normal.”

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Ramadan 2026: No Revenue Clarity?

𝗥𝗮𝗺𝗮𝗱𝗮𝗻 𝟮𝟬𝟮𝟲: 𝗜𝗳 𝗬𝗼𝘂 𝗗𝗼𝗻’𝘁 𝗞𝗻𝗼𝘄 𝗬𝗼𝘂𝗿 𝗔𝗻𝗻𝘂𝗮𝗹 𝗥𝗲𝘃𝗲𝗻𝘂𝗲 𝗦𝗽𝗶𝗸𝗲𝗿𝘀, 𝗬𝗼𝘂’𝗿𝗲 𝗚𝘂𝗲𝘀𝘀𝗶𝗻𝗴 𝗪𝗶𝘁𝗵 𝟯𝟬% 𝗢𝗳 𝗬𝗼𝘂𝗿 𝗬𝗲𝗮𝗿 In Indonesia, 𝗥𝗮𝗺𝗮𝗱𝗮𝗻…

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that never came. You’ve sat through slide decks that never paid off. So let’s not do that.

Good. You should be. You've seen enough bad AI demos to be skeptical. You’ve been promised value that never came. You’ve sat through slide decks that never paid off. So let’s not do that.

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