Blog Categories

Product Development

  • The Missing Metric in Agentic AI

    Posted in Agile Development, Artificial Intelligence, Change Management, Product Development on 30th September 2026

    Featured image for The Missing Metric in Agentic AI

    The question is no longer simply whether an AI system can make a good decision. It is whether the organisation has designed sensible boundaries around what that decision is allowed to change. The systems that earn greater autonomy will not necessarily be the ones that appear most intelligent. They will be the ones whose authority has been designed with enough care that an imperfect decision does not automatically become an uncontrolled consequence. This article by Rohit Mahadevu, AI and Digital Transformation Consultant at Texavi Innovative Solutions, puts the focus on the decision authority profile highlighting the five key steps in the decision making and how these optimise working with AI-based tools and solutions, read on...

  • Teaching Claude How You Work

    Posted in Agile Development, Artificial Intelligence, Business Analysis, Change Management, Product Development on 11th September 2026

    Featured image for Teaching Claude How You Work

    People assess the outcome, handle the exceptions, and still take responsibility for decisions with real consequences. That is how we would like these systems to function. The way we move from prompts to skills therefore alters the question that we ask. Not every task needs all available context. For a routine task, you only need the basic operating procedure and a template. In some instances, you will need additional reference material. A specialist task may require a different set of instructions or a script. Organising those communications makes it easier to maintain and understand the process. That also means you can make changes in the right place. This article by Rohit Mahadevu, AI and Digital Transformation Consultant at Texavi Innovative Solutions, puts the focus on reusable skills as opposed to prompting, when working with AI tools like Claude, read on...

  • AI Automation Without Atrophy

    Posted in Agile Development, Artificial Intelligence, Business Analysis, Product Development on 31st August 2026

    Featured image for AI Automation Without Atrophy

    One of the easiest ways to judge an AI implementation is to ask how much effort it removes. A task that once took thirty minutes now takes five. A first draft appears in seconds. Information that once required searching across several sources arrives as a summary. Routine decisions can be supported before someone has finished opening the relevant files. AI can reduce the amount of thinking required to complete many tasks. That does not mean organisations should reduce the amount of thinking their people are capable of doing. The strongest AI-assisted organisations will not necessarily be those that automate the greatest percentage of work. They will be the ones that know which manual work can be offloaded to machines, where can human-judgement remain, and how to design systems that strengthen one without quietly weakening the other. Rohit Mahadevu (AI and Digital Transformation Consultant, Texavi Innovative Solutions) expresses his views on the practical implementation framework for AI automation. Read on...

  • Context Drift in AI Systems

    Posted in Agile Development, Artificial Intelligence, Business Analysis, Change Management, eLearning Courses, Product Development on 7th August 2026

    Featured image for Context Drift in AI Systems

    A reliable AI workflow should not merely generate outputs and move forward. It should create enough visibility for its assumptions to be challenged over time. That might mean reviewing repeated overrides, checking where escalations are increasing, looking at the difference between generated outputs and approved outputs, or identifying parts of the workflow that now require more human intervention than they did previously. The purpose is not constant optimisation. It is revalidation. There is an important difference. Optimisation asks how the system can perform the existing task better. Revalidation asks whether the system should still be performing the task in the same way. Rohit Mahadevu (AI and Digital Transformation Consultant, Texavi Innovative Solutions) expresses his views on Artificial Intelligence as a cognitive infrastructure framework. Read on...

  • When Automation Meets Exceptions in AI

    Posted in Artificial Intelligence, Business Analysis, Change Management, Product Development on 21st July 2026

    Featured image for When Automation Meets Exceptions in AI

    Once an AI system moves from demonstration into everyday use, exceptions are no longer at the edge of the system—they become part of the system. That changes how automation should be designed.A workflow that performs perfectly when everything goes according to plan proves that the technology can execute the happy path. It tells us very little about whether the system can survive real operations.The more useful question is: what happens when something does not fit? Read on...check out the article on managing the expectations with automation powered by artificial intelligence, written by Rohit Mahadevu, AI and Digital Transformation Consultant at Texavi Innovative Solutions.

  • The Forgotten Infrastructure of Digital Transformation

    Posted in Artificial Intelligence, Business Analysis, Change Management, Product Development on 16th May 2026

    Featured image for The Forgotten Infrastructure of Digital Transformation

    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

    Featured image for Building AI-Assisted Community Operations: From Tools to Workflows

    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

    Featured image for AI in Banking and Financial Services

    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

    Featured image for AI is Not a Tool, it is Cognitive Infrastructure!

    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

    Featured image for Technologies, platforms and infrastructure in AI!

    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.