Revisiting “Why Every EPM Investment Now Needs an AI Horizon”

I recently re-read a short blog I wrote in November 2025 titled Why Every EPM Investment Now Needs an AI Horizon.

What struck me most was how quickly the thinking already feels dated. The pace of technological change right now is extraordinary.

Capabilities that felt forward-looking only a few months ago are quickly becoming practical design considerations. It’s an exciting time to be working with these technologies, but it also means approaches age quickly.

When the original blog was written, the idea was simple. Organisations investing in Enterprise Performance Management (EPM) systems should at least consider the future implications of AI. Even if AI was not part of the immediate solution design, every EPM investment should include an AI horizon, an awareness that AI capabilities would likely become relevant in the near future.

Four or five months later, that perspective has already shifted.

Today, I would argue that any new EPM system design, like most modern system designs, should actively incorporate AI considerations from the outset.

AI is no longer simply a future capability to plan for. It is now a practical source of intelligence that can enhance many aspects of work within organisations. It can improve outcomes, generate deeper insights, and support decision-making in ways that are evolving all the time.

For example, we have recently been experimenting with using AI to support Enterprise Risk Management, integrated directly with EPM to strengthen strategic management.

Traditionally, risk management and planning often operate as separate processes.

Risks are documented, assessed periodically, and reported alongside planning outcomes. But AI allows a different workflow, helping to identify and flag risks and proposing options for risk mitigation strategies.

By analysing large volumes of contextual information across operational data, planning assumptions, and external signals, AI can identify emerging risk patterns and connect them directly to strategic plans and performance outcomes.

In practical terms, this means risks can be surfaced earlier, their potential impact on plans can be explored faster, and leadership teams can see how changes in risk conditions may influence strategy and performance.

It doesn’t replace human judgement, but it significantly improves the speed, breadth, and quality of insight available to decision-makers.

This illustrates how the conversation around EPM design is evolving.

The question is no longer whether AI should be considered, but where AI-driven intelligence can deliver meaningful benefits.

When developing solutions today, the focus should be on identifying where AI can enhance business performance and then integrating those capabilities into the overall system architecture.

This integration must be approached thoughtfully. Governance, security, data access, and model transparency all need to be addressed as part of the overall solution design to ensure AI capabilities are implemented responsibly and effectively.

The original blog still holds true in spirit: good design decisions preserve future options.

But the horizon has moved closer.

AI is no longer something to plan for later. It is something we increasingly need to design for today.

#ArtificialIntelligence #EPM #EnterprisePerformanceManagement #DigitalTransformation #AstuteDimension #Jedox

Back to All Posts