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By:

Rahul Kulkarni

30 March 2025 at 3:32:54 pm

Psychological Safety, The Prerequisite for Modernisation

If people can’t tell you the truth, your dashboards will lie for them. So now you finally have what most leaders think they need: a system. And yet… the system still doesn’t show the truth. Numbers look “clean”. Reports look “reasonable”. Problems show up late. Bad news arrives only when it becomes a fire. This is where many leaders get fooled. They look at the dashboard and think, “Great, we’re improving.” And then reality punches them. A shipment fails. A customer escalates. A vendor...

Psychological Safety, The Prerequisite for Modernisation

If people can’t tell you the truth, your dashboards will lie for them. So now you finally have what most leaders think they need: a system. And yet… the system still doesn’t show the truth. Numbers look “clean”. Reports look “reasonable”. Problems show up late. Bad news arrives only when it becomes a fire. This is where many leaders get fooled. They look at the dashboard and think, “Great, we’re improving.” And then reality punches them. A shipment fails. A customer escalates. A vendor refuses. Cash gets stuck. Quality blows up. The issue is not your tool. The issue is fear. Which Seat? Inherited seat: people fear disappointing you, so they hide issues until they’re unavoidable. Hired seat: people fear you’ll judge them, so they show you what looks good. Promoted seat: people fear the relationship has changed, so they become careful and political. Different seats. Same outcome: silence. Doctor-Patient Problem Think about a doctor. The doctor can be brilliant. The hospital can be world-class. The tests can be advanced. But if the patient hides symptoms, the diagnosis will be wrong. Not because the doctor is bad. Because the input is false. That’s what modernisation looks like without psychological safety. You can buy software. You can design processes. You can set up dashboards. But if people can’t tell you the truth, your “data” will become polite fiction. And you’ll make confident decisions on top of fiction. What Is Safety? People hear “psychological safety” and imagine a soft HR concept. It’s not soft. It’s operational. Amy Edmondson, who researched this deeply, describes it simply: a climate where people feel safe to speak up, admit mistakes, ask questions, and raise bad news without being punished or humiliated. In MSME language, it means: “If I report a problem, I won’t be insulted.” “If I admit a mistake, I won’t be made a permanent example.” “If I raise a risk early, I won’t be told I’m negative.” “If I tell the truth, I won’t lose my standing.” If those beliefs don’t exist, people will still “cooperate” but it will be theatre. Hidden Blocker Low-data firms don’t naturally produce truth. They produce stories. Why? Because stories protect people. A late dispatch becomes: “customer changed plan”A defect becomes: “labour issue”A missed purchase becomes: “vendor problem”A cash delay becomes: “accounts is slow” Each story may contain some truth. But the function of the story is usually protection. So when you introduce digitisation, something changes: Now the story has to match a number. And if the number can expose someone, the system will do the only thing it knows: It will manage the number. That’s how dashboards become lies. Not because people are dishonest by nature.Because honesty has become unsafe. The Signs Bad news comes late, always. Meetings are full of explanations, not facts. “No issues” is the most common update. Problems are discovered by customers, not internally. People speak more in corridors than in review meetings. Everyone looks busy, but nothing is owned. If you see these signs, your modernisation effort is at risk. Because the system will look healthy until it breaks. Most leaders don’t wake up and say, “Let me create fear.” They kill safety through small habits: Sarcasm in meetings Public scolding Reacting emotionally to bad news Asking “who did this?” before asking “why did this happen?” Using pilot data for appraisal Praising only “good numbers” and punishing messy truths One harsh moment teaches the room a long lesson. After that, people stop volunteering reality. They start managing perception. Field Test Pick one recent failure. Not the biggest scandal. A real, medium-sized problem. Gather the involved people for 30–45 minutes. Then follow three rules: Start with the line: “This is not a blame meeting. This is a learning meeting.” And mean it. Ask only these questions: What happened, in sequence? Where did the handoff break? What made the wrong action feel reasonable at the time? What one change reduces the chance of repeat? No names, no insults, no ‘how can you’ If someone makes it personal, you bring it back to the process and the moment. Now the most important part: Track whether people volunteer issues unprompted in the next two weeks. That is the real signal. If people start bringing small problems early, safety is rising. If they stay silent and “all good”, your system is still running on fear. (The writer is a Chartered Accountant based in Thane. Views personal.)

AI in Sperm Sorting: An Unbiased Decision for A Better Outcome

Artificial Intelligence or AI is revolutionising fertility treatments of the future. The inclusion of AI enhances the accuracy, efficiency, and objectivity of sperm selection, hence potentially improving fertility outcomes by leaps and bounds. Traditionally, sperm sorting through manual methods is subjective to judgments. Processes like centrifugation and swim-up methods are used to separate sperm based on motility and morphology. Although they are effective, they have their limitations, leading to human errors that affect the success rates of fertility treatment. For instance, studies have shown that traditional sperm sorting techniques can have variability in success rates, with reported live birth rates ranging between 15 per cent to 25 per cent per cycle depending on the method and quality of sperm. Hence the introduction of AI helps in maintaining consistency in evaluations of sperm, using the same data set for every sample which leads to better judgments.


Automation and Standardisation- Automation of sperm selection and also introduction of AI in the process have improved the results in ART. AI-assisted sperm selection improves the accuracy in choosing high-quality sperm for fertilisation purposes, and also, pregnancy and live birth rates might be improved. Technologies like Intracytoplasmic Morphologically Selected Sperm Injection along with AI ensure the chances of pregnancies increase by about 10-20 per cent compared to the standard procedures. AI and Automation will decrease time taken to analyze sperm and increase opportunities to select better sperm with DNA integrity for better development and higher success rates in embryo selection. These processes ensure that the sperm selection process follows consistent criteria, reducing variability in outcomes caused by human error.


Analysing Complex Data for Better Outcomes- AI plays a crucial in improving IVF outcomes by analysing complex data and providing tailored recommendations. AI-driven tools and models such as those on SpOvum.ai point towards an opportunity to optimise ovarian stimulation decisions by assessing patient characteristics and follicle growth patterns. A study revealed that the use of AI in IVF improved egg yield and reduced medication costs. AI enables fertility specialists to make data-driven choices, improving overall IVF success rates and streamlining treatment processes.


Reducing Human Error- AI models can continuously learn and refine their performance by being trained on newer data. This adaptability ensures the technology remains unbiased and up-to-date with the latest scientific insights into sperm quality and fertility success rates. Studies have shown that AI-driven sperm sorting can decrease human-related errors by up to 25 per cent, improving sperm selection quality in terms of morphology and motility.


Reduction of Sperm Damage- The new AI-driven sperm sorting techniques also include microfluidic systems that are known to exhibit several advantages over the most commonly used conventional method, which is centrifugation. Traditional centrifugation methods, such as density gradient centrifugation, also cause severe oxidative stress and DNA fragmentation of the sperm because of the very high mechanical forces involved. The AI-infused microfluidic sorting minimises this damage significantly by involving gentler processes that mimic the natural pathway of sperm selection. The studies show that the process of microfluidic sorting decreases DNA fragmentation in sperm, which gives improved opportunities for success for IVF. For example, DNA fragmentation is 20 percent lower in sperm sorted using microfluidic processes than in traditional processing methods.


AI is bound to play an increasingly definitive role in fertility treatments, which will improve the outcomes for couples experiencing infertility.


(The author is a Co-Founder & CEO at SpOvum® Technologies. Views personal.)

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