The Fulcrum Focus

By Kristen Hazard Former CEO, Wildnote, Current Senior Director of Environmental, Fulcrum

Field teams managing critical assets can’t wait on slow software development cycles so they end up relying on costly workarounds. Fulcrum, a no-code field inspection app with intuitive digital form design, changes that dynamic by allowing teams to clone, adjust, and deploy apps instantly. With this approach, organizations move from reactive fixes to proactive, continuous improvement in how field data is captured and managed.

Land subsidence threatens safety, compliance, and productivity across mining operations. Reliable GIS field data in mining ensures that every observation, from surface cracks to elevation shifts, flows into models that guide risk detection and response. Structured field measurements provide the foundation, while remote sensing, satellite imagery, and digital elevation models (DEMs) add the broader context needed to keep subsidence models accurate. Digital platforms tie these inputs together in real time, turning raw field observations into actionable strategies for safer, more resilient operations.

Reliable GIS starts with field mapping workflows designed for accuracy from the outset. These workflows keep field data and real-time data in sync with web maps and feature layers so spatial data stays trustworthy from collection to decision. By combining automatic GPS tagging, in-field validation, and mobile tools that streamline data capture, teams produce consistent data that drives dependable maps and actionable insights. With better data capture and digital workflows, projects stay accurate without wasted effort in the field.

Geospatial AI can forecast infrastructure needs, model environmental changes, and support critical decisions, but its accuracy depends on reliable field data. Fulcrum equips teams to capture precise, validated information in the field and send it directly into GIS and AI workflows. By maintaining accuracy from collection through analysis, Fulcrum helps ensure geospatial insights reflect real-world conditions. This streamlined connection ensures that your geospatial artificial intelligence models receive the most accurate, real-time spatial inputs possible.

Resilience planning relies on accurate, current field data that reflects real-world conditions. Structured, location-aware workflows make that data reliable, easy to use, and ready for action. When the right information flows quickly from field to office, infrastructure resilience stops being theory and becomes something teams can build and maintain.

While parks and public spaces are vital to public health, environmental resilience, and city infrastructure, many park systems still rely on outdated tools and informal routines that limit visibility, delay maintenance, and waste resources. With structured field data, consistent inspections, and spatial context, cities can manage park infrastructure assets more effectively, improve reporting, and extend the life of public spaces. By combining parks management software with mobile tools available on any mobile device, field crews can capture real-time data feeds, streamline maintenance tasks, and tackle backlogged tasks before they escalate.

Explore how GIS keeps wildfire response moving from risk modeling and crew coordination to long-term recovery. See how wildfire data becomes actionable across the full lifecycle, and why usability in the field is just as critical as analysis at command.

Explore how drones and remote sensing power faster, safer environmental field surveys across forests, wetlands, and contaminated zones. Ground teams combine environmental science with modern surveying techniques and quantitative data from GPS devices and GPS tracking to validate every environmental field survey. Learn how teams improve accuracy, reduce risk, and cover more ground without slowing down field workflows.

What a week it’s been at the Esri User Conference! For the past five days, San Diego has been buzzing with the brightest minds in GIS. A large crew from Fulcrum was there, going to sessions, connecting with people at the booth, and, of course, socializing with peers after hours. It was a great week focused on pushing the boundaries of geospatial technology.

Environmental field data serves as the backbone of credible ESG reporting. Mobile workflows bring structure, transparency, and real-time validation to data collection, helping organizations meet environmental standards, track impact, and prove progress with clarity and precision. Robust corporate sustainability reporting and climate‑related disclosure depend on the same reliable field metrics.

Seasonal planning helps environmental survey crews collect accurate data while reducing delays, rework, and safety risks. Aligning field survey schedules with environmental conditions like bloom cycles, migration patterns, and dry periods keeps crews efficient and on track with regulatory requirements. The right planning approach, supported by historical data, GIS layers, and clear field workflows, turns short windows into reliable opportunities.

Utilities face growing pressure to identify and respond to environmental risk quickly and accurately. GIS platforms paired with mobile field data collection solutions empower utility teams by combining real-time location-based data with on-the-ground observations, enhancing environmental management strategies and compliance. By layering live and historical data while integrating field updates, this combination turns environmental risk from a reactive challenge into a proactive operational priority.

Environmental compliance and environmental regulations are inherently tied to location: where rules apply, where inspections occur, and where records must point back to. This blog explores how GIS supports compliance efforts for regulatory requirements by providing spatial structure that helps teams stay coordinated on environmental impacts across projects. When GIS is integrated with structured field data systems, it gives teams the clarity to monitor conditions, document work accurately, and respond quickly to potential issues.

GeoAI combines artificial intelligence with geospatial data in a deep learning model to help field teams work faster, make better decisions, and stay ahead of operational challenges. This blog explains how GeoAI evolved, what it enables today, and how it’s reshaping asset management, risk detection, and resource planning across industries. It also explores practical considerations like implementation, data security, and future trends including IoT integration and adaptive machine learning.

GIS data is the cornerstone of planning decisions. It collects development project data and helps with project monitoring. Having GIS data in a project is a clear path to success when paired with a rigorous project management approach and a controlling process within the project team. GIS data helps us understand the relationships between a location and the surrounding environmental and social context. In sectors like utilities, environmental engineering, telecom, and others, GIS project managers use geospatial data to create accurate models and forecast possible risks. Project teams plan and oversee the completion of all major GIS-related projects. They depend on accurate field data to create timelines and allot resources. Because every stage must align with the team’s application of knowledge, skills, tools, and techniques, GIS project management is a complex job, with many moving parts. In addition to creating the overall workflow plan and timeline, the project manager also interacts with clients, oversees the budget, and supervises work teams.

In this article we explore how field data collection with mobile GIS cloud platforms like Fulcrum enable seamless, real-time communication and coordination between field and office teams. By capturing geospatial data instantly and sharing it across locations; organizations can make faster, smarter decisions and operate more efficiently.

Learn how pairing field-first platforms with ArcGIS strengthens GIS accuracy and improves workflows, and how structured, real-time field data collection eliminates delays and integrates cleanly into ArcGIS systems.

Explore why regular field inspections are essential for maintaining operational efficiency across construction, engineering, and utility teams, and how a consistent, well-managed field inspection process helps teams catch issues early, improve coordination, and reduce costly delays.

Find out how rapid changes in environmental regulations pressure field operations across industries like utilities, construction, and oil and gas. Discover the the operational risks of relying on outdated systems for regulatory change management, and how flexible, configurable field data collection platforms like Fulcrum ensure fast adaptation, maintain regulatory compliance during disruptions, and avoid costly rework.

Discover how Fulcrum FieldTech improves GIS data collection and geospatial data. It streamlines processes, boosts data accuracy, and enhances team efficiency with modern, customizable, real-time tools. These capabilities address common field operation challenges and enable organizations to collect data efficiently through mobile data collection technology.

Effective GIS data management depends on structured field workflows that protect data quality from collection through integration. Discover how mobile data collection solutions such as Fulcrum that integrate with ArcGIS help teams capture reliable geospatial data, standardize mapping processes, and support stronger operational decisions.

Field teams and GIS teams often seem like they speak entirely different languages. Your GIS teams rely on precise data, accurate coordinates, and timely geospatial information to guide important decisions. Field teams need straightforward, simple-to-use field data collection software that let them execute their workflows while quickly and unobtrusively capturing important data.

Field teams across industries rely on location data to get work done. Whether they’re maintaining power lines, monitoring ecosystems, or planning new infrastructure, they need more than static maps. GIS for field operations ensures they have actionable spatial data to collect, analyze, and make informed decisions in the field.

Field teams rely on GIS to map infrastructure, assets, and environmental features, but too often, those maps don’t match reality. Pipelines, power lines, roads, and land boundaries shift over time, while GIS data lags behind, leading to costly mistakes.

Optimizing Geographic Information Systems (GIS) for field management goes far beyond basic GIS mapping. GIS improvements focus on customization, automation, mobile apps, and clean data. These changes turn GIS from a static storage tool into a platform that drives operational efficiency and smarter decisions.

Fulcrum Audio FastFill is transforming how field teams collect data, offering faster, hands-free workflows through AI-powered voice input. Before this feature became widely available, early adopters were already putting it to the test on their custom Fulcrum apps. Their feedback has given us valuable insights into how organizations can optimize their forms and workflows for this game-changing tool.

Fulcrum Audio FastFill is a voice-powered AI feature that replaces manual typing with real-time, structured voice dictation for field data capture. It solves common problems in the field by turning spoken input into accurate records, helping teams move faster and stay focused on their work.

Environmental conservation faces massive challenges, from deforestation to climate change, but technology is transforming how organizations tackle these issues. Location intelligence tools, including geographic information systems (GIS), satellite imagery, and spatial analytics, help organizations track, analyze, and respond to environmental threats in real time. These tools provide conservationists with accurate data to monitor forests, map wildlife habitats, and optimize strategies with precision.

Digital transformation promises to revolutionize field operations, unlocking unprecedented efficiency, precision, and insight. But as exciting as this future sounds, the path to get there can be fraught with challenges. From unclear goals to resistance among team members, even the most promising field technology initiatives can falter. The good news? By anticipating these pitfalls, your organization can sidestep them and pave the way for meaningful, lasting change.

The architecture, engineering, and construction (AEC) industry faces unique challenges: complex projects, tight deadlines, and ever-increasing client demands. But a digital revolution is underway, offering solutions to these challenges and reshaping how we design, build, and manage the world around us. This transformation is leading to a fundamental rethinking of workflows, collaboration, and the very nature of construction itself. To understand why, let’s explore the forces driving this digital revolution and how it’s changing the AEC landscape.

The landscape of utility field inspections is rapidly evolving. AI-powered UAVs (unmanned aerial vehicle), aka drones, are taking center stage, offering a safer, faster, and more efficient alternative to traditional ground-based methods. 

Greetings, everyone. Today, I’m thrilled to share an important step forward for Fulcrum, one that brings to life our vision of enabling field efficiency and unifying the field with the office. 

AI-driven field data collection makes fieldwork smoother, faster, and error-free. With modern tools at their fingertips, field teams now capture real-time insights and act on data directly in the field. Industries like utilities, engineering, telecom, and environmental management are getting actionable information on the spot, cutting out delays and transforming raw data into instant solutions.

From soil quality to wildlife habitats, survey data is only as good as the system that collects it. GIS-enabled mobile apps cut out transcription errors, streamline collaboration, and deliver the accurate insights projects demand.

In the wake of Hurricane Helene, western North Carolina faces monumental challenges—and opportunities—in rebuilding. Flooding, landslides, deforestation, and contaminated waterways are just some of the issues communities now confront. The impact goes beyond physical infrastructure; it reaches into the heart of local ecosystems, leaving scars that will take years to heal. However, with Geographic Information Systems (GIS) and the Architecture, Engineering, and Construction (AEC) industry working together, the region has a path to rebuild stronger and smarter, creating resilient landscapes prepared for future disasters.

When it comes to managing your GIS systems, control is everything. Esri ArcGIS Enterprise gives you full command over your GIS infrastructure, and now with Fulcrum’s integration, that control extends seamlessly to your field data collection. Whether it’s GIS, IT, or field operations, Fulcrum ensures that your data stays secure and fully within your grasp—just the way you need it. 

For GIS professionals, managing geospatial data can be a complex, multi-step process. Fulcrum’s seamless integration with ArcGIS simplifies this by allowing teams to collect and sync data directly into the ArcGIS platform. This eliminates manual data transfers, reduces errors, and speeds up data management for faster decision-making. With Fulcrum, field teams and GIS analysts collaborate easily, ensuring accurate, consistent data across both platforms.

Managing architecture, engineering, and construction (AEC) projects has always been a high-wire balancing act. Coordinating site inspections, managing project timelines, and ensuring safety compliance are just a few of the challenges project managers face daily.

The fieldwork landscape is changing fast, evolving from outdated manual processes into a domain driven by AI-powered solutions. What used to be a slow, error-filled, paper-based process has evolved into a system driven by digital precision, efficiency, and real-time decision-making. As the leap from paper to tech, and now to field AI, transforms how on-site operations are conducted, the result is not just faster processes, but smarter, more reliable workflows.

Field operations often suffer from inefficiencies and errors due to inconsistent processes. Standardizing your field processes is a powerful way to mitigate these challenges, ensuring smoother workflows, reduced mistakes, and faster project completion. In this blog, we’ll explore the benefits of standardizing field processes and how this approach can transform your operations.

If you’re not quite on board with the idea of practical AI, you’re not alone. Between generating nightmare images of uncanny valley mutants with too many (and too bendy) fingers and news stories of AI missteps and hallucinations, it’s easy to dismiss AI as another tech novelty. 

The geospatial industry is experiencing a profound shift, driven by rapid technological advancements, evolving user expectations, and an unyielding demand for more intelligent workflows. The Trimble State of the Global Geospatial Industry 2024 report highlights several key trends shaping the future of this field—from the essential need for reliable field data collection to the decisive move towards Software as a Service (SaaS) models. 

Wildfires are becoming more frequent and severe, threatening lives, property, and ecosystems. Understanding the causes behind these fires is crucial for developing effective prevention strategies. In this blog, we will explore the primary causes of wildfires and how real-time field data collection tools are transforming our approach to mitigating these risks and wildfire prevention.

At Fulcrum, we pride ourselves on enabling loose coupling in your workflows. But what does that mean? Loose coupling integration allows different systems and components to work together seamlessly, without heavy dependencies on each other. This flexibility makes it easy to integrate new features or replace components without disrupting the entire system.

Efficient data management is essential for success in field operations. Fulcrum, an industry-leading field data collection and process management platform, offers robust tools to automate data workflows, enhancing both efficiency and accuracy. This blog explores the benefits and processes of automating data exchanges between Fulcrum and other platforms, providing practical steps and real-world examples to guide users in implementing these integrations.

The integration of artificial intelligence (AI) with remote sensing technologies is transforming groundwater monitoring, providing unparalleled insights into water quality across extensive geographical areas. This innovative approach is particularly beneficial for water utility and field operations teams looking to enhance their monitoring and management capabilities.

Efficient and accurate data collection is the backbone of many businesses, especially those with teams in the field. Integrating your field data collection platform with other systems can significantly enhance your operations. This integration not only boosts efficiency and accuracy but also provides numerous other benefits that can transform how your business functions. Here, we explore these benefits and outline steps for a successful integration.

Subsidence is the gradual sinking or settling of the Earth’s surface, driven by both natural forces like soil compaction and human activities such as groundwater extraction and mining. Threatening more than two billion people globally, The effects of subsidence include cracked building foundations, reduced aquifer capacity, damaged infrastructure, increased coastal flooding, and habitat deterioration. With urban expansion leading to increased groundwater extraction and climate change intensifying drought conditions, the need to monitor and mitigate subsidence has never been more critical.

Achieving a balance between customization and standardization in field processes is essential to maintain flexibility while ensuring consistency and efficiency. Here’s how to strike that balance effectively.

As we gear up for the 2024 Esri User Conference, Fulcrum is excited to showcase several groundbreaking features and recent developments that enhance geospatial field data collection and management. These innovations promise to streamline field operations and improve data reliability, setting a new standard for GIS integration and field data handling.