Latest Articles
The Agentic AI Framework: Mastering Autonomy for Enterprise Operations
When planning agentic Artificial Intelligence initiatives, it is wise to establish a framework. This structure is essential for assessing where AI agents are most likely to bring improvements, how to evaluate AI readiness across the organisation, how to manage and orchestrate the actions of AI agents, and, crucially, how to implement governance for responsible oversight.
The End of the Billable Hour: Embracing Outcome-Based Contracts
For decades, the technology sector has operated on a simple premise: time equals money. Clients paid for the hours consultants worked, accepting a degree of uncertainty in project timelines and final costs. However, a significant shift is underway. Across the industry, a more powerful and demanding model is replacing the billable hour: the outcome-based contract. This is not a minor adjustment in pricing, but rather a fundamental evolution in how value is defined and delivered. As reported in The Financial Express, clients are increasingly pushing for fixed-price engagements, a trend validated by leading industry analysts.
Why Your AI Strategy Fails Before It Even Begins: The Critical Role of Data Architecture Design
The promise of Artificial Intelligence is compelling. Imagine your marketing managers asking chatbots about quarterly sales and receiving instant insights, or your finance teams accessing real time cost optimisations through natural language queries. Yet for all of AI's capabilities, most organisations struggle to deliver these outcomes at scale. The reason is rarely a lack of AI sophistication. The problem lies with the very foundation upon which these systems are built.
The AI Hype vs Corporate Reality
While Silicon Valley paints a utopian future, most IT teams are still trying to get printers to work reliably. Despite billions spent, 75% of AI initiatives are failing to deliver measurable ROI. So, what’s going wrong?
Turning Documents into Conversations with Azure AI Document Intelligence and Microsoft Fabric
Transform PDFs and forms into searchable data with Azure AI Document Intelligence and Microsoft Fabric. Automate workflows, enable AI, and boost efficiency.
Conversational Analytics with Microsoft Fabric Data Agent: Real-Time Insights for Everyone
We’ve recently been experimenting with Microsoft Fabric Data Agents, and the results are promising for organisations looking to democratise access to real-time data.
Unleashing AI Power: How Microsoft Fabric’s Copilot Agents Are Transforming Business in 2025
Fabric is already a powerhouse, seamlessly integrating ingestion to real-time analytics. But AI agents take it further. It’s not just about dashboards. These agents deliver automated decision intelligence, embedding smart actions directly into your Fabric ecosystem.
Master Microsoft Fabric: Your Essential Project Planning Checklist for 2025 Success
After decades in the data architecture and transformation trenches, one truth stands out: success hinges on strong foundations and meticulous planning. Too often, I’ve watched organizations leap into Microsoft Fabric implementations, only to stumble over unexpected costs, delays, rework, and diminished profitability. Poor initial decisions around architecture, governance, security, and licensing can ripple through the entire data estate, derailing even the best intentions. In this post, I’m sharing an abridged Microsoft Fabric Project Planning Checklist—a practical guide to help you sidestep common pitfalls and pave the way for long-term success.
Slash Costs, Boost Revenue: Proven Cloud Cost Optimisation Strategies for 2025
As businesses navigate economic uncertainty in 2025, many are investing in AI to improve performance and unlock new revenue streams. But here's the truth: most AI initiatives take time to mature, require significant upfront investment, and often don't deliver an immediate bottom-line impact. So, where should you start if you want a faster financial return? Cost optimisation.