Read Fulcrum blog posts for the utilities industry, covering field data collection, inspections, and operational workflows.
Utilities have gotten very good at pinpointing where vegetation risk lives on their systems. Lidar, grid characteristics, outage history, and fuel conditions can now rank an entire system span by span. Precision at that level gives utilities a sharper path to grid resilience than any four-year cycle could offer.
The video showcases how Fulcrum’s Audio FastFill feature allows users to effortlessly fill out information using voice dictation. By simply pressing the record button, users can input details such as pole ID, classification, and accessibility without manual entry. The AI technology behind Fulcrum intelligently processes the spoken information, automatically selecting the correct values for the form fields. This innovative approach streamlines data entry, making it easier for users to manage their tasks efficiently.
The video showcases how Fulcrum’s Audio FastFill feature allows users to effortlessly fill out information using voice dictation. By simply pressing the record button, users can input details such as pole ID, classification, and accessibility without manual entry. The AI technology behind Fulcrum intelligently processes the spoken information, automatically selecting the correct values for the form fields. This innovative approach streamlines data entry, making it easier for users to manage their tasks efficiently.
Your AI can already build on Fulcrum. You just haven’t told it to yet. Join us to see what happens when you do.
Utilities looking to put AI to work already hold much of what it needs in their field operations. Asset management, vegetation management, linear construction, and emergency response generate records ranging from inspection findings to proof of work. Getting those records ready for AI has long been a struggle, since they come from separate tools, spreadsheets, and paper forms.
Issue 65 of the Fulcrum Insider follows good field data from water audit records to AI-built apps. You’ll also find a live AI webinar, a demo video, a data sheet, and a field service infographic.
Vegetation is the most common cause of power outages in the U.S., accounting for more than 20% of incidents, and vegetation management is the number one line item on most utilities’ annual budgets. Spending at that scale comes with a reasonable question attached: what did the year’s work change. Field organizations run good programs and document them carefully, and answering that question still means inferring a good deal.
Ask anyone who runs field work what they stopped requesting. They already knew what the job needed, and none of it was impossible. But building the workflow seemed too complicated. And something else always seemed more important.
Water infrastructure fieldwork happens in pieces: an inspection here, a GIS layer there, a safety record somewhere else. This infographic shows how water and wastewater utilities bring it all into one system.
FSM software earned its category by handling customer service calls well. Asset-driven field work runs on different logic, and the FSM vs. FOM distinction names the gap. Crews feel it on day one, when a job begins at an asset instead of a customer.
Every field organization carries a workflow nobody could justify building: too complicated, too expensive, or just never urgent enough to make it onto a developer’s calendar. Multiply that one shelved idea across every crew, and the backlog turns into the norm. AI-guided workflow creation exists to clear exactly that kind of backlog, without adding a developer to the queue.
Water utilities take center stage in this month’s field operations conversation, from FEMA storm documentation to the stormwater records behind permit renewals. Issue 64 of the Fulcrum Insider also visits a New Zealand utility running three workflows on one platform, and builds a field app live in Fulcrum with AI.
Utilities manage vegetation across every mile of corridor they own, usually without a current picture of what’s growing into the lines. Work gets scheduled by calendar, so some spans get trimmed years early while encroachment builds somewhere nobody’s watching.
A regulated MS4 generates field records because its permit requires them, from outfall mapping through post-construction maintenance. Records held in separate, unlinked systems are difficult to turn into capital priorities or permit documentation. Consistent inspection forms tied to a GIS asset layer give a program one record feeding inventory, condition scoring, and capital planning. Federal rules already require permit terms to be clear, specific, and measurable, and records to be kept for at least three years. A program holding those records year-round has far less to reconstruct when a report comes due.
GeoAI runs in ArcGIS. Predictive maintenance runs in an EAM. Most AI investments have two things: a team doing the work, and a platform for AI to run on.
Water utilities have 60 days to identify and report storm damage to FEMA, and paper forms or verbal radio reports can leave that record built mostly on memory. Missing GPS coordinates, photos, and asset-level detail can put reimbursement at risk before that 60-day window even closes. Utilities running water utility management software before severe weather hits get a prioritized repair list, records that map cleanly to FEMA’s funding categories, and disaster recovery documentation built to stand up to federal review.
GIS reliability and EPA-driven inspection demand define this month’s field operations conversation. Issue 63 of the Fulcrum Insider tackles AI and data quality gaps while stretching your Esri investment further. We also build the case for a dedicated Field Operations Management platform. Three headlines close out the issue, each one tracing back to unreliable field data.
Every water utility faced the same LCRR deadline last October, but the results split fast. Utilities with a clean lead service line inventory verified pipe materials in the field before the crunch hit. Others defaulted unresolved lines to unknown and are still paying for it in notifications and lead service line replacement program queues. Here’s what separated the two groups, and what the 2027 LCRI deadline demands next.
Challenges
Map book creation for field dispatch took up to three days of GIS staff time.
Earth resistance testing required manual asset matching and paper map books for field dispatch.
Logging a new tree asset on site required multiple manual steps.
GIS staff spent a lot of time checking and cleaning field data.
Limited defect visibility made it difficult to track and act on field data.
Alpine Energy runs the electricity network across South Canterbury, New Zealand, where field safety carries real stakes. Getting tree and earth-bank data right catches hazards before they become outages.
Water utility asset inspections often lack reliable photographic evidence. That leaves organizations vulnerable during contractor disputes, regulatory audits, and insurance claims. Visual inspection software like Fulcrum addresses this gap by using automation to embed asset IDs, GPS locations, and timestamps into photos at the moment of capture. Inside Fulcrum, custom AI models can also flag defects like corrosion or cracking in that same photographic evidence. Together, they create a centralized, searchable visual history that integrates with existing utility systems and the broader inspection workflow to provide immediate, defensible proof whenever it is needed.
Your GIS team shouldn’t have to choose between supporting field workers and keeping pace with everything else. Join us for a practical look at mobile data collection for GIS that works with your Esri infrastructure instead of around it.
Water utilities inspect hydrants, valves, and meters constantly, yet these water infrastructure records remain among the hardest to verify. GIS, CMMS, and field inspection software are often implemented separately, leaving records scattered across systems that don’t talk. Connecting those systems into one record keeps condition assessment data current and turns audit requests from a scramble into a routine pull.
The EPA is speeding up delivery of several major water infrastructure funding programs, including the Drinking Water and Clean Water State Revolving Funds, the WIFIA loan program, and the Emerging Contaminants grant. Together, these programs direct federal investment toward water systems and projects that protect water quality and public health. Faster funding means a faster-arriving wave of permitting, inspection, and reporting work for the environmental consulting firms that support water utility clients. Here’s what that shift means for field teams, and why documentation readiness decides which firms absorb it smoothly.
Pipeline integrity teams manage corridors spanning hundreds of miles under strict federal repair deadlines. Connectivity gaps and crew expertise gaps compound the challenge in the field. Most software wasn’t built to handle scale, regulation, connectivity, and crew skill gaps together. Here’s what pipeline integrity software needs to deliver instead.
Location data quietly shapes crew productivity, planning accuracy, and public safety, whether teams realize it or not. Issue 62 of the Fulcrum Insider covers reliable geospatial data, seamless GIS workflows, and where AI actually belongs in the field. Three real-world stories round it out, showing what happens when location records fail the people who depend on them.
Field Operations Management is the coordination of work that happens away from a fixed site: inspections, maintenance, construction, surveys and service calls. A Field Operations Management platform (FOM) is the single system that plans that work, puts it on a crew’s device, captures what they did and where, and closes the record out with the evidence attached. It replaces the mix of scheduling tools, forms apps, spreadsheets and paper most field organizations run on today.
Field crews have always run infrastructure using software built for something else. Field Operations Management (FOM) names the missing category: running, recording, and closing out physical field work. This post covers the category, why existing tools fall short, and why Fulcrum is a Field Operations Management platform purpose-built for the field.
Most GIS teams spend significant time maintaining field apps that should belong to the field team. The problem is structural and won’t be solved by better communication. Discover the ownership shift that fixes it and what both sides get back.
Water utilities run dozens of field programs generating water utilities field data that regulators, clients, and auditors will eventually demand to see. Most of it lands in spreadsheets or disconnected apps that were never built to produce defensible records. A dedicated field platform closes that gap, producing geolocated, timestamped, attributable records across every program a crew runs.
Using AI to vibe code a field tool sounds straightforward until you realize how much groundwork has nothing to do with the problem you set out to solve. Offline sync, spatial data, validation logic, consistent interfaces across devices: field operations demand all of it, and building it from scratch takes months. The smarter approach is extending a platform that’s already handled that work.
The video reveals how maintaining your own field operations platform gives you defensible records to protect your bottom line and move faster than your competition by eliminating those inefficiencies.
Many operations leaders blame scheduling or staffing gaps for missed SLAs, completely overlooking how poor field data accuracy quietly derails their daily workflows. This post explores how high-quality geospatial field data eliminates costly, hidden worker workarounds, improves data capture, and optimizes the entire operational lifecycle across planning, execution, and review. Discover how investing in location data quality transforms field operations performance from reactive firefighting into a compounding competitive advantage.
Building custom field apps has gotten genuinely fast and cheap, and that changes what’s worth considering. It doesn’t change what field software actually has to do.
AEC firms are navigating tighter margins, shifting regulations, and a growing pressure to do more with field data. Issue 61 of the Fulcrum Insider covers AI amplifying field teams, environmental workflows built for constant change, vibe coding your way out of a backlog, and why fragmented data is the real obstacle standing between AEC and its AI ambitions.
Utility infrastructure failures aren’t random. They build through vegetation growth, flood exposure, and shifting climate conditions that field crews encounter on every maintenance visit. Learn how spatial analysis helps utilities identify hidden risks before they become failures — and the field’s role in making that analysis better.
The loudest narrative in field operations AI right now is autonomy: agents that capture evidence, validate it against planned work, and approve jobs without a human in the loop. Fulcrum sees the same potential in autonomous agents, and takes a harder look at where that architecture serves the field and where it doesn’t. In high-variability, high-consequence work, the more valuable investment is AI that augments worker judgment rather than routes around it.
Every field platform captures data. Very few do anything with it after the record saves. A technician closes an inspection, and somewhere in the gap between field and office, someone has to remember to open a work order, start a compliance clock, notify a customer, update a map. On a good day they get to it. On a bad day, nobody does. That gap between what the field knows and what the enterprise knows is where things fall through.
Disconnected field and office workflows cost GIS teams more than time. Inconsistent data capture, manual transfers, and siloed systems produce errors that compound across every project, slowing decisions and degrading the geospatial data organizations depend on. Standardization, customization, and integration work together to close that gap, creating a continuous, reliable pipeline from field collection to office analysis.
AI has made building software through vibe-coding faster and cheaper, but the case for purpose-built field data software is stronger than ever. The real costs of going custom — governance gaps, data inconsistency, data management overhead, security burden, and the ongoing demands of field conditions — don’t disappear because the code was easier to write.
Last-mile horizontal contractors occupy a distinct segment of utility construction that the software industry hasn’t caught up to. Their work spans a wide range of distribution-side job types, each generating dual data obligations: contractor records for billing, payroll, and compliance, and as-built documentation and GIS updates for utility clients. The right utility contractor software serves as a purpose-built field-data layer that handles both sets of obligations and feeds clean, real-time data to every party who depends on it, from contractor back offices to utility teams managing asset lifecycle decisions.
Sometimes you have no choice: Use the client’s software or lose the deal. Other times, it’s tempting to leverage their infrastructure instead of bringing your own field operations platform.
The video reveals how maintaining your own field operations platform gives you defensible records to protect your bottom line and move faster than your competition by eliminating those inefficiencies.
When a client’s system lost 80 service records mid-project, the only way to avoid re-excavating completed work in winter conditions was to find them fast. For Diverse Pipeline Services, the answer was already in Fulcrum.
AEC firms are under pressure to deliver more work with leaner crews and less room for error. Issue 60 of the Fulcrum Insider covers the field ops strategies, real-world examples, and industry research helping AEC teams perform consistently when conditions keep getting harder.
Field crews have earned their skepticism. Years of “next big thing” software that couldn’t survive a rainstorm or a dead cell zone will do that. So when AI enters the conversation, the eyerolls begin anew.
The infrastructure sector has never had more operational data, and many have never had less clarity about what it means in the moment. Shared situational awareness replaces the fragmented, team-by-team view of assets and events with a single, real-time operational picture that every role in the organization can trust and act from, producing faster responses, stronger coordination, and infrastructure resilience that holds up under real pressure.
