The November 2027 LCRI deadline: what utilities need to know
Utilities face a critical LCRI compliance deadline on November 1, 2027. Learn what must be submitted, why unknown service lines matter, and how predictive modeling can help.
What happens when lead is found during an inspection?
Discover how no-lead and low-lead statistical analyses account for unexpected lead findings, confidence intervals, and uncertainty under LCRI.
Predictive modeling for water systems: a human approach
Learn how predictive modeling helps water utilities reclassify unknown service lines, prioritize lead replacement, and reduce costly field investigations.
Lessons from a year in water
From LCRR to long-term planning, this piece explores what real progress looks like for utilities—and why clarity, partnership, and trust matter most.
Meet the team: Sabrina Calderon
Learn more about Sabrina Calderon of BlueConduit as she shares her career journey, business development philosophy, and the values that shape her work.
Making sustainability actionable
Turn sustainability and resilience from buzzwords into actionable systems for smarter, more proactive utility planning.
Meet the team: Chris Rodriguez
Get to know Chris Rodriguez of BlueConduit as he shares his career journey, business development approach, and the values that guide his work.
Turning unknowns into action: insights from an AWWA webinar
See how BlueConduit helps cities turn data uncertainty into action with AI, machine learning, and statistical modeling for faster LCRI compliance.
An open letter to utility leaders
In this open letter to utility leaders, BlueConduit’s VP of Sales and Business Development, Kristy McGrath, explores the “translation gap” between data science innovation and real-world utility challenges — and how true partnership begins by speaking the same language and focusing on impact, not algorithms.
Field notes from WEFTEC 2025
AI is reshaping the water industry, but not without challenges. In this report from WEFTEC 2025, CEO Lorne Groe explores how utilities can navigate the shift from AI 1.0 to AI 2.0 while keeping safety and trust at the center.
What does LCRI require in 2025 and 2026?
Navigate the interim years of LCRI compliance. Learn what water systems must do in 2025 and 2026—from customer notices to state certifications—to reduce unknowns and prepare for the 2027 service line replacement requirements.
Texas approves predictive modeling for LSL
Predictive analytics is now an approved method for LSL inventories in Texas. Discover how this change empowers water systems to save time, reduce disruption, and improve public health outcomes.
CFPUA’s path to lead line replacement
Discover how CFPUA used Esri’s mapping tools to locate and replace galvanized service lines efficiently—an approach that aligns with BlueConduit’s predictive modeling solutions for smarter infrastructure planning.
The power of smart LSL prioritization
Prioritizing lead service line (LSL) replacements is key to protecting public health, optimizing resources, and maintaining compliance. Learn how data-driven strategies can help utilities make smarter, more impactful decisions. Get started with best practices and the right tools today.
Building strong data for LSL replacement
A robust dataset is the backbone of an effective lead service line (LSL) replacement program. In this post, you will learn what data is needed and how robust data sets you up for success in lead service line replacement planning.
Smarter LSL replacement: best practices
Overwhelmed by lead service line replacements? Our guide, Best Practices for Lead Service Line Replacements, simplifies the process with expert insights on data management, risk prioritization, and compliance. Get started with a smarter, data-driven approach today.
Beyond predictions: optimizing LSL replacement
LSL replacement is more than just predictions—it’s about strategic optimization. Discover how BlueConduit’s data-driven approach helps water systems prioritize lead service line replacements efficiently, equitably, and in full compliance with LCRI.
Software-driven management of unknowns
Discover how software is transforming unknown management for lead service lines. Learn how predictive modeling and AI help water systems efficiently classify unknowns, ensure regulatory compliance, and plan for lead service line replacement.
Is Texas water infrastructure at risk?
Texas’ water infrastructure is aging and strained, requiring a projected $154 billion investment to meet growing demands and prevent significant economic losses. Learn about the challenges facing Texas water infrastructure and why BlueConduit’s platform is the best option for proactive water management and a more resilient water future.
Predictive modeling with no known lead pipes
Editor’s note: BlueConduit recently hosted a webinar around the process of using predictive modeling to classify unknown service lines. In this series, we detail some of the questions we received. The short answer is, no and it depends. Let’s explore what matters. There are a lot of terms out there – predictive modeling, statistical analysis, […]
Thresholds vs confidence levels explained
Explore confidence intervals and thresholds to understand what each term means, where they apply, and why they matter in predictive modeling for service line classification. Learn how BlueConduit ensures accuracy and defensible decisions in identifying lead service lines.
Des Moines LSL predictive modeling case
Discover how Des Moines Water Works used predictive modeling to classify unknown service lines, reducing uncertainty by 75% in just six months. Read the case study to learn how data-driven insights optimized their LSL inventory.
Should you use a threshold for lead line classification?
We often get asked “Can I use a standard thresholds to classify service line materials as lead or non-lead?” The simple answer is no (unless you operate in a state like North Carolina or Massachusetts that sets standard thresholds in regulatory guidance). Let’s explore why.
How predictive modeling classifies lines
Predictive modeling helps water systems classify service line materials as lead or non-lead with minimal digging. But how does it work, exactly? In the infographic below, BlueConduit’s expert team breaks down the process from unknown to classification of pipe materials using predictive modeling using these 6 steps: Step 1: Identify and quantify your unknowns Step 2: Collect […]
Managing unknown service lines for LCRI
Discover how predictive modeling helps utilities manage unknown service lines for LCRI compliance. BlueConduit’s COO, Ian Robinson, shares insights in The Water Report on reducing compliance burdens and streamlining service line inventories.
Data-driven LSL replacement highlighted
Thank you to Water Finance & Management for featuring BlueConduit in their Water Innovation of the Month series! Read the full post here. The new Lead and Copper Rule Improvements (LCRI) mandates lead service line (LSL) replacement within 10 years. But did you know that the current $15B Bipartisan Infrastructure Law (BIL) allocation for lead […]
LCRI plans: unknowns & prioritization
BlueConduit’s LSL Predictions and new LSL Replacements tools focus on unknown management and LSL replacement prioritization, respectively. This article explores the value of and requirements for unknown management and replacement prioritization in the context of Lead and Copper Rule Improvements (LCRI) compliance and beyond.
Reducing unknowns with predictive modeling
If you have service lines of unknown material in your inventory, there are many reasons to choose predictive modeling to classify these unknown lines: Compliance, feasibility, time and effort are just a few. In this blog post, we’ll highlight the value of predictive modeling to quickly and efficiently reduce the unknowns in your inventory.
Evaluating water main predictive models
Using AI predictive modeling solutions can save water utilities billions of dollars. Predictive modeling for water mains identifies the likelihood of failure for every main, which helps assess risk and enable proactive maintenance and replacement. This article explores the 3 core needs to consider when selecting a predictive modeling solution like BlueConduit for water infrastructure management: the modeling approach, prediction accuracy and explainability, and integration with your everyday tools and processes.
America’s next water crisis? A lack of experienced workers
BlueConduit’s products empower water systems with accurate predictions, decision support, actionable recommendations, and automation—driving greater efficiency and effectiveness. As the industry faces the challenges of the “gray tsunami,” our solutions provide the insights and tools needed to navigate workforce transitions and maintain reliable operations. This blog highlights how climate change and aging infrastructure already threaten […]
