Encoding frontline expertise into resilient systems for LDCs

The workforce reality for LDCs

The U.S. utilities sector has one of the highest shares of workers over 55, with roughly 25% of employees in that age band at many firms. And a large portion of those employees will become eligible to retire in the next decade.

Because most of the operational load for planning, switching, and field response is still carried by a small group of experienced workers, this turnover could have major consequences.

Without a system to operationalize tacit knowledge, best practices are transferred ad hoc across teams. As experts retire, each crew fills the gaps differently, creating inconsistent workflows. That means particularly complex jobs often stall while supervisors are pulled in for judgment calls, slowing work and tying up scarce resources.

Over time, these inefficiencies compound. Small deviations in leak prioritization and switching sequences mean the same job can follow very different paths and durations depending on who’s running it. This increases the risk of downstream issues like costly rework and delays that inflate customer bills and undermine public trust.

The talent market brings its own challenges. The U.S. needs to fill “510,000 new power sector jobs by 2030” to replace retiring experts and support the buildout of renewable energy infrastructure. The competition for skilled workers is therefore intense, and pitching legacy systems to candidates expecting precision software rarely makes for a compelling offer.

While replacement hiring is part of the answer, it can’t solve the problem on its own. What LDCs actually need is a work redesign.

Redesigning work for the next generation

The goal of this redesign is simple: to create a modern, fully digitized system that preserves and amplifies hard-won expertise. Think of it as a way to put old heads on young shoulders — embedding decades of knowledge in shared workflows that outlast any individual career.

Building blocks of a resilient system

A system built for this challenge has two components working together. The first is an operational layer that connects to existing platforms, models how work gets done, and gives teams a single space to manage it. The second is a set of custom AI-powered applications that automate key routine tasks, from dispatch optimization to compliance triage.

This system becomes the connective tissue across every platform and data source. With this foundation, experts encode workflows, like crew dispatch assignments and inspection sign-offs, into universal guided steps that power consistent outcomes.

Because the reasoning behind each step is built into the workflow, crews don’t just follow a process — they internalize its logic. New technicians handling repair closures, for example, see sign-off criteria directly, so they can close the job without escalating to a supervisor. As a result, they handle more edge cases faster and with greater confidence.

As crews work through these procedures, the system learns from every decision, deviation, and outcome, tightening its own guardrails to safely handle more routine steps and free experts for higher‑value work.

Tangible impact for the whole organization

The benefits of this digitization can be felt at every level of the organization.

New hires have clearer steps and expectations, creating safer on‑ramps into complex tasks. Guided workflows make it easier to understand not just what to do, but why each step matters, shortening time-to-competence and making execution more consistent.

For veterans, the shift is about focus. Automating repetitive escalations reduces cognitive load, freeing bandwidth for high-stakes judgment calls and refinement of the workflows that carry their expertise forward. As more of their judgment is encoded into the system, error rates drop, and reliability becomes less dependent on who shows up to the job.

At the leadership level, those individual gains build a comprehensive picture of operational performance that helps sharpen decision-making. Unified data surfaces how work actually gets done and where risks accumulate, informing training initiatives and proactive process changes that strengthen performance.

Ultimately, work becomes more fulfilling when people can focus on meaningful problem‑solving, strengthening long‑term resilience, and driving retention in a competitive talent market. And as operations become more efficient, fewer resources are lost to rework, overtime, and duplicated effort — reducing operating costs that show up on customer bills.

Embedded institutional knowledge in action

Digitization reshapes how critical work gets done. Here’s how this shift plays out on the ground.

Leak survey, repair, and documentation

Most leak survey work runs on informal coordination, despite serious safety and compliance stakes. Veteran crews complete survey routes with a mix of vehicle‑mounted and handheld detectors, marking suspected leaks and reporting findings by phone. Their on-the-spot interpretation, prioritization, and judgment calls leave no trace of how decisions were made or why.

In a redesigned workflow, leak‑survey readings, maps, and work orders flow into a unified system that guides the process end‑to‑end. Crews follow clear steps for assessing severity, planning the repair, and completing documentation, with criteria available in the tools they already use.

With this system, decisions and risk cues, like on-site conditions and repair rationale, become part of a shared record automatically. As crews draw on these documented patterns, they make faster, more consistent calls on leak severity and response, reducing exposure windows and meeting compliance targets with ease.

Cadent Gas put this approach into practice at scale. By digitizing key parts of their workflows, they now capture and combine supervisor context with data from their systems of record via API. The result is clear audit trails and more consistent decisions.

Outage response and coordination

For outages, veteran operators have historically stitched together a live network view one update at a time, fielding radio calls, flipping between SCADA screens, and copying details into email threads. Every decision — from prioritizing circuits to assigning crews and updating ETAs — relies on gut-feel judgments and tacit knowledge.

With a centralized digital workspace, outage communication and decision‑making are automatically consolidated into a single, shared environment. The software suggests priorities, safe switching steps, and crew assignments, reducing the coordination burden and keeping responses moving.

Instead of manually recalculating timelines, operators auto-generate clear ETAs for customers and internal stakeholders. And because the system always explains the logic behind its recommendations, teams also align faster when conditions change.

This shift turns outage response from an improvised art into a repeatable playbook. With fewer handoffs, teams spend increasingly less time on rework, even as new workers come on board. Crews restore service faster and more consistently, lowering overtime costs and energy bills.

Extended construction and grid modernization projects

Long‑cycle work is still managed as a series of one‑off efforts, even when the underlying tasks repeat across programs. Upgrade and DER projects depend on personal spreadsheets, email threads, and mental checklists to assign work and track progress. Without a shared playbook, new leaders have to shadow experienced colleagues, and critical details inevitably fall through the cracks.

Alternatively, digitized project workflows can serve as the backbone for these capital projects. Safety rules, design standards, and approval steps are encoded into a streamlined workflow for every job. Instead of reinventing execution plans from scratch, standardized workflows enable faster, safer, and more cost-efficient delivery.

With expertise embedded in these digital workflows, teams inherit the same decision criteria, approval logic, and field context regardless of who leads the work. Leadership transitions stop becoming reset moments, and change orders and rework decrease.

That shift is already paying off in the field. The team at OCU Group cut job pack processing times by 83% with AI‑powered software, freeing planners to focus on more complex tasks.

Future-proof your organization with Cogna

Navigating modern grid pressures demands deep, experiential knowledge. To ensure that knowledge is preserved, Cogna hardwires it into custom, purpose-built software.

To do this, the Cogna team maps your team’s operations through a collaborative, hands-on process. This includes the decision logic, informal checks, and judgment calls that exist outside formal procedures. From there, our AI software factory encodes that knowledge into adaptive digital workflows that guide day-to-day work.

As your teams use the system, learnings from incidents, near misses, and projects feed back into it, making the system smarter and your organization more resilient. The result is a way of working that holds up regardless of who retires, which DER programs come online, or how grid demands shift.

By partnering with Cogna, EU industry leaders like Cadent Gas and OCU Group have modernized and digitized their operations with custom AI-powered software. As a result, they’ve turned expertise into a durable, system-level advantage.