Mar302026

Tackling AI Enablement and Overcoming Failure in 2026

Insights

AI adoption across enterprises has largely fallen short of its goals despite unprecedented investment and attention from leadership. The reasons for failure are many, including flawed strategic approaches, a mismatch between hype and actual capabilities, and a failure to properly train people in how to use the tools effectively. Compound that with intense competitive and market pressure that drives enterprises into rushed experimentation without clear business objectives, and you have the perfect setup for failure.

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Feb172026

Agentic Security & Governance

Insights

AI Agents are being developed to read and respond to emails on our behalf, chat on messaging apps, browse the internet, and even make purchases. This means that, with permission, they can access our financial accounts and personal information. When using such agents, we must be cognizant of the agent’s intent and the permissions we grant it to perform actions. When producing AI agents, we need to monitor for external threats that can sabotage them by injecting malicious prompts.

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Jan222026

Why Model Context Protocol Matters: Building Real-World Workflows

Insights

When large language models (LLMs) first became accessible, most of our interactions with them were bound within a single prompt-response cycle. You asked, they answered. But as developers began embedding AI into real systems (IDE copilot etc.), it became clear that prompts alone couldn’t sustain meaningful workflows. AI needed context, memory, and the ability to act, not just chat. That’s where the Model Context Protocol (MCP) enters the picture (to solve the context and ability needs).  

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Sep302025

Prompt ≠ Purpose: Why Goal-Directed Behavior in Agentic AI Demands More Than Just Good Prompts

Insights

Imagine this: you ask a generative AI tool to “summarize last quarter’s procurement activity for compliance reporting.” Within seconds, it produces a well-structured summary, complete with headings and bullet points. So far, so good. Next, you instruct it to email the report to the compliance officer, attach the raw data for audit purposes, and log the interaction in your internal documentation system. Here’s where the system begins to falter. It doesn’t remember which procurement dataset it used in the first step. It requires you to re-specify the compliance officer’s details, the file format, the logging protocol, and the context all over again. 

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Mar142025

What is Vibe Coding?

Insights

Vibe coding isn’t an official term. It’s more of a coding mindset. Vibe coding is a programming approach that leverages AI tools to create code based on natural language descriptions of desired functionality. In this method of developing code, we rely heavily on autocomplete, AI coding assistants like GitHub Copilot or ChatGPT or various AI Coding Editing tools, and use existing code examples, all while making decisions based on intuition rather than structured instruction.

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Creospan Expands India Operations with New Office in Pune

News

Creospan is happy to announce the expansion of its India operations with the opening of a new, state-of-the-art office in Pune, India. This strategic move highlights our commitment to global growth, tapping into Pune’s vibrant talent pool and innovative ecosystem. The new office enhances our ability to deliver world-class digital solutions, build high-performing teams, and strengthen global service delivery for our clients.

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Oct122024

The Power of Generative AI and RAG?

Insights

This article explores three key areas: Generative AI and its patterns, the Retrieval-Augmented Generation (RAG) framework, and AWS’s role in supporting this journey. What is Generative AI? Generative AI is a type of artificial intelligence focused on the ability of computers to use models to create content like images, text, code, and synthetic data. The…

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