What an Independent Audit Actually Surfaces

The municipality's infrastructure data existed across more than 70 discrete assets, recorded in inconsistent formats with no shared basis for comparing risk across asset types, ages, or systems. Leadership needed a single, defensible view of where risk was concentrated before committing capital to rehabilitation.

MIACS consolidated and normalized the full asset set into one risk-based dataset, then stratified every asset by age, useful-life exceedance, probability of failure, consequence of failure, and system type using the firm's Probability × Consequence scoring model.

• Consolidated and normalized 70+ discrete infrastructure assets into a single risk-based dataset
• Stratified assets by age, useful-life exceedance, probability of failure, consequence of failure, and system type
• Identified concentrated high-risk exposure within water and water treatment infrastructure
• Performed root-cause analysis to isolate systemic governance and documentation gaps

Rather than a generic age-based replacement list, leadership received a risk-ranked dataset showing exactly where exposure was concentrated — predominantly within water and water treatment infrastructure — along with the governance and documentation gaps that had allowed that exposure to go undetected. The result was a capital and corrective-action plan built on evidence rather than assumption.

• A 16-inch water main over 50 years old failed on Three Islands, traced back to original valves that had not yet been replaced — the same age-driven, probability-of-failure pattern MIACS' P × C scoring is built to flag before failure occurs, not after.[2]
• A $16.9 million funding request for lift-station rehabilitation was tied explicitly to reducing sewer-overflow risk and improving hurricane and flood resilience — consequence-of-failure reasoning applied at the capital-funding stage.[3]
• Field crews discovered a previously untracked drainage and injection system with no record in the city's GIS inventory — a documentation and asset-inventory gap of exactly the kind MIACS' governance reviews are designed to catch before it becomes a liability.[3]
• Drainage-capacity reporting also showed pump systems in one quadrant unable to handle the volume produced by the surrounding low-lying geography — a documented example of consequence of failure varying sharply by location, even within a single jurisdiction.[4]
• A Six Sigma–based initiative inside the department cut average water-main-break repair time from an initial 4.5-hour test case to roughly three hours — a documented example of the same DMAIC-based discipline MIACS applies to infrastructure and governance audits.[1]
• City Manager Dr. Jeremy Earle credited the department's leadership as the "tip of the spear" in the City's effort to overhaul its infrastructure from the ground up — independent, outside validation of the same operational leadership behind MIACS' methodology.[1]
• The department's capital program executed 56 infrastructure projects in a single reporting year, supported by a $14.9 million grant for pumping stations, a $2.8 million grant for a major force-main project, and $53 million in additional bonded improvements — the scale of capital decision-making MIACS' prioritization frameworks are built to support.[1]

Note: these citations describe public reporting on municipal infrastructure operations in Hallandale Beach, FL, and on the founder's prior public-sector role specifically. They describe risk patterns the methodology is designed to address — not a MIACS client engagement.