The regulatory bar is rising. Can AI help you meet it?

Increasingly, regulators are demanding more than high-level program justifications and expect utilities to:

• Prove risk reductions with quantifiable, localized models
• Demonstrate how interventions align with system performance outcomes
• Show traceable decisions with scenario comparisons, audits, and live updates 
• Tie investment programs to specific customer and system benefits

If your planning tools and models aren’t built on top of a digital twin that accurately reflects the operational reality of your network, you have no choice but to make assumptions that induce additional uncertainty into all analytical outputs.

But wait a second… is this something AI can take care of for us?

Well… no. Not alone. Even as magical as it seems, many AI tools still lack sufficient memory for enterprise-scale needs and overly rely on statistical pattern-matching without the deeper understanding needed for utilities. 

AI assists. Engineering solves.

The term “artificial intelligence” typically encompasses systems that imitate human cognitive abilities via statistical pattern matching. Engineered intelligence prioritizes intentional design tailored to asset management contexts. Like traditional AI, it aims to reveal emergent patterns from vast utility datasets. However, in contrast to standard AI approaches, engineered intelligence constructs logical frameworks grounded in core principles and facts, resulting in outputs that are more reliable and robust.

Engineered intelligence keeps your (and our) human experts in the loop (HITL) to define the parameters, knowledge structures, and operational contexts compared to purely data-driven approaches.

The difference here is intention. Being deliberate and intentional with your data requires some human involvement, some engineering. That’s why we created ENGIN; to be the bridge between human intention and artificial intelligence.

ENGIN ingests all of the data from all of the critical systems (GIS, ADMS, OMS, EAM, SCADA, Fixed Asset Registries, literally all of them) and integrates it into a dynamic network model that reflects how the grid truly operates. 

AI can be just the tool you need to justify your decisions to the regulator, if it’s engineered with intention and intelligence.