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Lead Industry — Energy & Utilities

Proven where transformation is hardest.

AI-driven demand growth is reshaping utility capital programs: grid modernization, AMI deployment, OT/IT integration, CIS replacement. These initiatives are large, regulated, multi-vendor — and highly prone to drift. This is the environment PCM™ was forged in.

CIS modernization · Enterprise recovery · OT/IT programs · Regulated delivery

The Demand Shift — Context

100–300 MW

Power draw of hyperscale AI data centers — multiples above traditional facilities.

5–7+ years

Typical lead times for grid upgrades — often longer than the data centers driving them.

20%+

Share of local electricity demand data centers already represent in some regions.

▲ THE PROGRAMS RESPONDING TO THIS SHIFT ARE LARGE, MULTI-VENDOR, AND PRECISELY THE KIND THAT DRIFT.

Sector Conditions

Why energy programs drift.

Utility transformation combines every drift accelerant at once: technical novelty, stakeholder density, vendor complexity, and regulatory consequence.

OT/IT integration creates structural blind spots narrative reporting cannot surface.

Utility operations and digital delivery teams run on unreconciled assumptions.

AI platform providers and hyperscale partners add vendors faster than governance can absorb.

Technical novelty gives optimistic estimates cover that mature domains don't provide.

Regulatory milestones convert schedule slips into compliance exposure.

Interconnection and capital pressures leave no slack for a stalled program.

Flagship Insight

Why AI-Driven Grid Modernization Programs Fail

The firm's flagship white paper examines how AI infrastructure demand is reconfiguring the energy system — and why the capital programs responding to it drift. It documents the four drift patterns, the compounding cost of delayed clarity, and the structured intervention model leaders can apply before drift becomes failure.

By James Truesdale, MS · Managing Partner · April 2026

Also available: Why CIS Modernization Programs Drift — the four drift patterns applied to CIS replacement anatomy.

From the paper

“The technology is rarely the problem. The governance is.”

The energy sector stands at an inflection point: AI-driven demand transformation is a present-tense operational reality. The programs responding to it are underway — and, absent structured governance and independent oversight, highly likely to drift.

Sector Depth

A decade inside the programs.

OnTarget's energy practice is grounded in nearly ten years of utility and energy program delivery — enterprise system recovery, CIS modernization, and multi-vendor transformation in regulated environments — inside one of the country's largest gas utility ecosystems.

~10Years in utility & energy programs
30+Years enterprise IT delivery
4Drift patterns documented in sector programs
5PCM™ dimensions scoring program health

Common Questions

Frequently asked.

What kinds of energy programs does OnTarget serve?

Grid modernization, CIS replacement and modernization, AMI deployment, OT/IT integration, enterprise system recovery, and the governance layer of AI-era infrastructure programs.

Does OnTarget implement the technology?

No — vendors and integrators do. OnTarget provides the stabilization, leadership, and governance layer that keeps their delivery integrated and credible.

How do engagements typically begin in this sector?

Most begin with a Program Clarity Diagnostic — often triggered by a leadership transition, a milestone review, or board and regulatory questions the program team can't answer with confidence.

Does the practice extend to federal energy cyber work?

Yes — grid and energy cybersecurity is the lead theme of the firm's federal critical infrastructure practice.

Is your modernization program drifting?

Bring the program. You'll get an evidence-based view of its condition — before the next steering committee asks.