Power and utilitiesWhat we do, and an illustrative case
Power and utility operations can be improved massively, with solutions already live at peer utilities.
We map how the work really runs from your own systems, measure the gap to best practice, and check every case as it happens.
What a utility can gainPublished results, with their sources
The gains are documented.
2.2M
customer outages avoided: self-healing grid at Duke Energy, 2025
Duke Energy, 2025 self-healing grid results, reported 2026
63%
smaller interconnection queue: PJM in 19 months, with automation and staff
PJM, “Interconnection queue progress,” ESIG presentation, 2025
30–50%
lower customer-service cost: AI across utility customer operations
McKinsey, “How utilities can rewire customer operations with agentic AI,” 2026
15–20%
lower arrears, with fewer customer complaints
McKinsey, “How utilities can rewire customer operations with agentic AI,” 2026
What a regulated utility needsLow risk, proven, standards-ready
Built for how you really run.
A reliable grid
Fewer, shorter outages, tracked live on SAIDI and SAIFI.
Fair prices
Lower cost to serve and accurate bills for every rate class.
Ready for new demand
Interconnection and large-load requests mapped end to end.
Proven, not experimental
Only playbooks already live at peers. NERC CIP-ready, on-prem.
Illustrative caseElectric utility: reliability, fair bills, new load
$26.8M saved for customers a year.
Results live at peer utilities. An illustrative case, not an AIx2 client result: ORNL, “Chattanooga EPB case study: distribution automation,” 2016
~2 years → 10 days
interconnection study
FERC Commissioner Rosner, interconnection automation letters to RTOs (MISO), 2025
−55%
customers interrupted per outage
U.S. DOE, “FLISR technologies reduce outage impact and duration,” 2014
1.01% → 0.08%
estimated bills
California PUC Decision D.10-12-031 (PG&E smart vs. legacy meter bills), 2010
How we get thereThe Five Step Method
From your own data to live checks on every case.
Step 01: Collecting Data
Connect billing (SAP IS-U or Oracle CC&B), ADMS and GIS; add AMI/MDM, SCADA and Maximo work orders; capture spreadsheets, e-mail and field notes
Step 02: Mapping Processes and Data Flow
Map outage-to-restoration as it really runs; map meter-to-cash and bill exceptions; trace interconnection and large-load requests
Step 03: Gap Analysis
Benchmark SAIDI, SAIFI and cost to serve against peers; flag repeat outages, bill errors and study backlogs
Step 04: Optimal Design
Start from playbooks already live at peer utilities; build a rate-case-ready transformation plan
Step 05: Implementation Live Assurance
Run live QC on every work order and bill; flag reliability and billing risk early; report on NERC and PUC metrics in real time