Get news from our subject-matter experts

The Multi-Agent Orchestration Cortex: Restructuring Month-End Close and Financial Workflows with IBM watsonx Orchestrate Look—if you have spent the last ten years leading an enterprise finance team, you know the physical toll of month-end close. It is 1:00 AM on a Tuesday, and your senior analysts are still hunched over screens, manually stitching together CSV dumps, hunting for broken VLOOKUP links, and copy-pasting numbers between siloed ERPs and legacy reporting tools. Honestly, the problem isn’t that your team lacks capability. The problem is that the underlying operational model is ...

Evaluation of TM1 Support Models Unified Managed Services A fluid capacity model combining development and support resources. Primary Goal Total Cost of Ownership optimization Key Paradigms Break-fix, Pyramid Staffing, Unified Hybrid I've managed enterprise finance models for a decade, and I just realized this about IBM Planning Analytics (TM1) support: we treat it like insurance when we should be treating it like an engine. When your environment breaks during month-end close, the stress is immediate. But the way most finance teams try to solve this structural risk usually falls into two ...

It is 6:00 PM on a Tuesday, and your CEO wants to see three different versions of next year's operational forecast before tomorrow's board meeting. Specifically, they need to know: what happens if APAC shipping costs go up 8%, the European sub-assembly plant delays its startup by two months, and the AUD drops to 0.64 against the USD—all at the same time. If you are running your finance operation on spreadsheet models, your night is already ruined. Here is what you will actually do: you will duplicate your master budget tab three times. You will rename them "High Case," "Base Case," and "Low ...

Look—we've all been there. It’s 11 PM on a Thursday at the end of the quarter, and you’re staring at an inbox full of ad-hoc data requests. The VP of Sales wants a hyper-specific variance report for the APAC region, excluding two specific product lines. The Operations Director needs to know exactly how a 4% raw material cost increase cascades through the Q4 multi-level BOM forecast. The CEO is texting you about gross margin impacts if a new tariff hits tomorrow morning. You recently migrated the company to IBM Planning Analytics (TM1). You did the hard work. The calculation engine is blazing ...

You have made the decision to migrate to IBM Planning Analytics (TM1) in the Cloud. You have mapped the architecture, and you are ready to leave your legacy spreadsheet grids behind. But for both IT and the CFO, the most critical bottleneck in a 2026 migration isn't getting the data into the cloud—it's getting it back out. How do you connect a multi-dimensional TM1 cube directly to a modern visualization tool like Microsoft Power BI, without breaking the reporting layer or relying on brittle, overnight batch scripts? Here is how the fastest-moving FP&A teams are solving the reporting ...

If you are a CFO or an IT Director managing an on-premise financial reporting system in 2026, you already know the pain. IT is spending a disproportionate amount of the week maintaining local servers and dealing with version control conflicts in legacy Excel add-ins. Meanwhile, Finance is battling the exhausting "double-close risk," manually reconciling data across disparate systems and praying a massive VLOOKUP macro doesn't break on day three of month-end. When leadership asks "what is IBM Planning Analytics?", they are usually looking for a better spreadsheet. But the reality is different: ...

Agentic AI Acceleration in Finance: From Pilots to Execution in 90 Days The Answer that most CFO’s are looking for, AI in Finance, is to redesign finance as a governed, autonomous execution system, and we prove it in 90 days CFOs don’t have an AI problem. They have an execution problem. Across most enterprises, AI is being deployed at the surface—copilots, chat interfaces, and isolated automations—while the core execution layer of finance remains fragmented. The result is predictable: stalled initiatives, unclear ROI, and growing skepticism at the executive level. What users see is ...

If you are a CFO or finance director at an Australian mid-market company, you have spent the last 18 months watching every vendor on the planet tell you that AI will transform your function. You have sat through the demos. You have seen the slide decks. You have heard the promises. And you have probably noticed that most of it does not address the two questions that keep you up at night: Where does my data go? Can I trust this thing to make decisions on my behalf: legally? This guide is written from the perspective of a firm that has been doing enterprise finance technology in Australia for ...

If you are comparing TM1 and Power BI, you are asking the wrong question. These are not competing products. They solve fundamentally different problems. TM1 is a planning engine, and Power BI is a visualisation platform. Comparing them is like comparing an engine to a dashboard: one produces the power, and the other displays the information. The real question is: when do you use each, and how do you connect them? The Core Difference in One Sentence TM1 writes data. Power BI reads data. That is the entire architectural divide in eight words. IBM Planning Analytics (TM1) is a database where ...