IFS Copperleaf, an IFS company and the global leader in AI-powered Asset Investment Planning (AIP) software, announces the launch of IFS Copperleaf Integrated Planning (IP), a purpose-built solution for electrical utilities that unifies capital allocation, network optimization, and work bundling across generation, transmission, and distribution.
IP extends the proven IFS Copperleaf AIP platform with capabilities utilities need to meet increasing regulatory requirements, as electrification, renewable integration, and DER growth radically increase planning complexity:
- Enterprise-wide strategic alignment – evaluate all grid projects on a common economic scale using the IFS Copperleaf Value Framework, linking 10-year decarbonization targets to near-term asset interventions.
- Intelligent work bundling and network optimization – automatically group circuit-level interventions across business units to cut outage time, lower OPEX, and unlock synergies hindered by siloed planning.
- Continuous, scenario-driven planning – create defensible plans by pressure testing any number of scenarios, ensuring budgets, load forecasts, or regulatory requirements shift, replacing costly, consultant-led refresh cycles with in-house agility.
- Seamless data ecosystem – pre-built connectors bring ERP, EAM, GIS, and network-planning data into one decision layer, creating a single shared source of truth for finance, engineering, and operations.
IFS Copperleaf Integrated Planning gives electric utilities a single value-based planning platform to align every dollar of grid investment with long-term strategic, regulatory, and energy transition objectives, all while maximizing capital efficiency and grid resilience.
“Integrated planning is now mission-critical,” said Lance Olmsted, President, IFS Copperleaf. “Utilities are under pressure to double capacity, harden networks against extreme weather, and deliver on ESG commitments—often with the same capital envelope. IP lets our customers see every investment through a single strategic lens, optimize trade-offs, and prove to regulators they are spending where it matters most.”
