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Latest Posts From Analyst Zone
From Prompts to Persistent Systems - The Evolution of AI
Posted in Agile Development, Artificial Intelligence, Business Analysis, Change Management on 5th July 2026

Prompt engineering will remain a useful skill. Someone still needs to know how to phrase an instruction clearly and give a model the right context. But it is a component skill, not an organisational strategy. The organisations that get ahead over the coming years won't be the ones with the best prompts. They'll be the ones who stopped asking AI to answer the same question every day and instead built something that kept answering it on its own - checking, remembering, escalating, and improving, with a person still firmly in charge of the decisions that matter.
Decision Architecture in the Age of AI
Posted in Agile Development, Artificial Intelligence, Business Analysis, Change Management on 18th June 2026

Most organisations investing in AI are optimising most of the AI in the next decade; they probably have the right layers. They are improving the quality of answers while ensuring decisions remain of high quality; implementations trace back to that gap being conflated it's not a fault of unmodified technology. AI can generate a recommendation in seconds, but it cannot determine whether an organisation should accept, challenge, escalate, or ignore that recommendation. That work still belongs to people, and it still depends on context, ownership, and judgement. This article introduces Decision Architecture: not a framework to install, but a way of noticing how decisions actually move through an organisation once AI becomes part of the process.
Governance Infrastructure: The Missing Layer of AI Transformation
Posted in Agile Development, Artificial Intelligence, Business Analysis, Change Management on 3rd June 2026

Governance infrastructure enables the responsible scaling of AI-enabled systems, ensuring oversight, corrections, trust, and extensions in increasingly vital areas of an organisation's operations. The gap between what AI systems can do and what organisations can currently account for is not an inevitable feature of AI adoption. It is a design choice. Organisations are choosing, implicitly or explicitly, to build capability before accountability.
The Forgotten Infrastructure of Digital Transformation
Posted in Artificial Intelligence, Business Analysis, Change Management, Product Development on 16th May 2026

The infrastructure that makes digital transformation succeed is often different from the infrastructure that receives the most investment. Human infrastructure explains that gap. It encompasses the capabilities, trust networks, learning systems, and adaptive behaviours that enable technology investments to fulfil their intended purpose. Transformation that invests in technology without investing equally in people does not slow the rate of change. It creates an organisation that changes the appearance of work without altering its substance.
Building AI-Assisted Community Operations: From Tools to Workflows
Posted in Artificial Intelligence, Business Analysis, Change Management, Product Development on 30th April 2026

The advantage from AI over the coming years will not come from access to tools. Most tools will be accessible to most organisations at roughly equivalent cost. The advantage will come from the quality of the operational infrastructure surrounding those tools: the workflow design, the prompt architecture, the integration quality, and the trust built with the people who need to use the systems every day.
AI in Banking and Financial Services
Posted in Artificial Intelligence, Change Management, Product Development on 28th April 2026

Innovation has always been at the forefront in the BFSI sector. Take the case of ATMs, OCRs in cheques, plastic money via credit cards and debit cards or the most recent digital wallets, technology has been used to enhance not just operational efficiencies but also business effectiveness and cost savings. With the advent of artificial intelligence, there is a multitude of use cases for banking in wide ranging areas from risk management to portfolio management, from treasury to investment banking, from customer relationship management to credit control and compliance.
AI is Not a Tool, it is Cognitive Infrastructure!
Posted in Artificial Intelligence, Business Analysis, Change Management, Product Development on 12th April 2026

There is a quiet ‘category error’ sitting at the centre of much of the AI conversation right now, and it is shaping decisions that will outlive the people making them. We keep calling AI a tool. Tools are picked up and put down. Tools sit in a drawer until needed. A hammer does not change what a wall is, what a house means, or how a neighbourhood feels. The framing is comfortable because it puts us in charge: we choose, we wield, we set down. I would argue, though, that it is the wrong frame. It is wrong in the way that calling electricity “a better candle” was wrong in 1890. The artefact is recognisable; the substrate it creates is not. What we are actually building, and stitching into the daily fabric of work and life, is starting to behave more like cognitive infrastructure. Something that increasingly mediates how we perceive, decide, coordinate, and remember. You do not “use” infrastructure the way you use a tool. You live inside it. The question of who designs it, who maintains it, and who gets to question it becomes a different kind of question entirely. This distinction is not academic. It changes the strategy. Rohit Mahadevu (AI and Digital Transformation Consultant, Texavi Innovative Solutions) expresses his views on Artificial Intelligence as a cognitive infrastructure framework. Read on...
Technologies, platforms and infrastructure in AI!
Posted in Artificial Intelligence, Change Management, Product Development on 26th March 2026

The technology stack powering the AI revolution unravelling in front of our eyes is touching fields far and wide. From the surge in coding libraries of programming languages (e.g., Python, R, Xcode, Java, Dot Net etc) to the comprehensive full-stack platforms such as TensorFlow, Scikit and Keras, there is a vast new playfield with numerous tools, platforms and SDKs. Besides the software, there is also a massive growth of hardware, networking and infrastructure aspects too. These include data centres, servers, cloud computing, parallel computing i.e., multi-core processors, sensors, actuators, controllers to name a few. It won't be an exaggeration to say that the speed and scale of changes in the AI technology landscape is definitely breakneck, and getting so much more difficult to make sense of those in our lifetime.
AI Robotics and their Applications
Posted in Agile Development, Artificial Intelligence, Business Analysis, Change Management on 27th February 2026

AI Robotics is the latest addition of AI techniques, tools, algorithms and models offering autonomy and speed to the already-existing automation offered by robotic machines. So now we have robots that are not just automatic but also autonomous, meaning they just don't do complex and repetitive tasks but also learn constantly, make decisions, improve and improvise their work. Besides the hard-handling machines in heavy industries and destructive testing in military and defence, there are newer applications and use cases for this discipline. Increasingly robotic AI is making in-roads into the numerous real-world applications eg., surgical robots and clinical tests in healthcare to rovers in space exploration and beyond.
Happy Business Analysis Day, 2018
Posted in Agile Development, Business Analysis, Change Management, Conferences, eLearning Courses, Events, Product Development on 2nd November 2018

1st Nov, 2018 has been celebrated world over as Global Business Analysis Day! We marked the occasion cherishing and relishing the profession and practice of business analysis that evolved over the ages and grew into the career of choice for millions all over the world. On this day, we announce the launch of a new digital/online course titled "Practical Business Analysis- Part 1". In this post, I discuss the background, context and rationale for creating the course, and who is going to be benefitted from the eLearning course. With this announcement, I am also happy and proud to share the cover image for the course. Watch out for more updates from me and Team Analyst-Zone on the launch date, course syllabus, coverage topics and platforms on which it will be available etc. Happy Business Analysis Day, once again to all the BA professionals and enthusiasts in the community!





