From 10 to 2. The new economics of AI Orchestrated Engineering.
Not ten people doing the work, but two people directing it—supported by 50 plus specialized agents working in unison. This is what AI-enabled engineering actually looks like. CapEx efficiency at build. OpEx reduction at runtime.
Complete capability transformation
Everything your team needs to adopt AI with discipline—not just velocity.
Battle-Tested Methodology
A proven framework for AI-augmented development that enforces quality by design.
Agent Architecture
Tens of specialized agents per domain, each calibrated to utility workflows.
Specialized Skills
Hundreds of skills that agents invoke based on context and requirements.
Institutional Knowledge
Encode tribal knowledge into agents instead of losing it when experts leave.
Compliance Awareness
NERC CIP, SOX, and utility-specific requirements baked in.
Tool Integration
Works with your existing toolchain—Jira, ServiceNow, Azure DevOps.
Training & Enablement
Build internal champions who sustain and evolve the capability.
Long-Lifecycle Design
Patterns for systems that must be maintained 15-20+ years.
Sustainable velocity without the debt
See the Transformation
Delivery capacity climbs while technical debt stays flat—velocity without the mortgage.
Multiply Your Capacity
AI-augmented teams achieve more with fewer people—without mortgaging the codebase.
Last 7 days
Capacity Multiplication
Quality by Design
Knowledge as Infrastructure
Continuous Calibration
Agents across the
full lifecycle
Our agent architecture spans every phase of software and data engineering. Each agent is calibrated to your utility's workflows, terminology, and compliance requirements.
Requirements Agent
Captures and validates against utility standards
Design Agent
Ensures patterns align with long-lifecycle needs
Development Agent
Operations Agent
Monitors, detects, and responds in production
Our numbers say it all:
Agents per domain
Specialized skills
Years of refinement
Two domains.
Full transformation.
AI-SDLC ModernizationTransform how your utility builds software and data systems—from requirements through deployment.
The right moment for transformation
We're positioned after early AI adoption proved the technology's potential, before the technical debt reckoning forces painful corrections, and during a period of unprecedented utility modernization investment.
Start a ConversationWe finally have a methodology that matches the pace of AI without sacrificing the governance our regulators expect.
AI-augmented development is the single biggest initiative on our roadmap for 2026. We knew we couldn't figure this out alone—we needed a partner who understood both the technology and our industry.
Our team went from drowning in backlog to actually getting ahead. The agent architecture changed everything.
For the first time, when senior developers leave, their knowledge stays. That alone justified the investment.
We finally have a methodology that matches the pace of AI without sacrificing the governance our regulators expect.
AI-augmented development is the single biggest initiative on our roadmap for 2026. We knew we couldn't figure this out alone—we needed a partner who understood both the technology and our industry.
Our team went from drowning in backlog to actually getting ahead. The agent architecture changed everything.
For the first time, when senior developers leave, their knowledge stays. That alone justified the investment.
We finally have a methodology that matches the pace of AI without sacrificing the governance our regulators expect.
AI-augmented development is the single biggest initiative on our roadmap for 2026. We knew we couldn't figure this out alone—we needed a partner who understood both the technology and our industry.
Our team went from drowning in backlog to actually getting ahead. The agent architecture changed everything.
For the first time, when senior developers leave, their knowledge stays. That alone justified the investment.
We finally have a methodology that matches the pace of AI without sacrificing the governance our regulators expect.
AI-augmented development is the single biggest initiative on our roadmap for 2026. We knew we couldn't figure this out alone—we needed a partner who understood both the technology and our industry.
Our team went from drowning in backlog to actually getting ahead. The agent architecture changed everything.
For the first time, when senior developers leave, their knowledge stays. That alone justified the investment.
We were adopting AI tools without process. @nutility gave us the discipline to make it sustainable.
Our board made AI transformation a strategic priority. We had the budget and the mandate, but not the expertise. @nutility brought the methodology we were missing.
The calibration process surprised us—they actually understood our NERC CIP requirements from day one.
Two developers now deliver what used to take eight. And the quality metrics are actually better.
We were adopting AI tools without process. @nutility gave us the discipline to make it sustainable.
Our board made AI transformation a strategic priority. We had the budget and the mandate, but not the expertise. @nutility brought the methodology we were missing.
The calibration process surprised us—they actually understood our NERC CIP requirements from day one.
Two developers now deliver what used to take eight. And the quality metrics are actually better.
We were adopting AI tools without process. @nutility gave us the discipline to make it sustainable.
Our board made AI transformation a strategic priority. We had the budget and the mandate, but not the expertise. @nutility brought the methodology we were missing.
The calibration process surprised us—they actually understood our NERC CIP requirements from day one.
Two developers now deliver what used to take eight. And the quality metrics are actually better.
We were adopting AI tools without process. @nutility gave us the discipline to make it sustainable.
Our board made AI transformation a strategic priority. We had the budget and the mandate, but not the expertise. @nutility brought the methodology we were missing.
The calibration process surprised us—they actually understood our NERC CIP requirements from day one.
Two developers now deliver what used to take eight. And the quality metrics are actually better.