Value streams and methodology
Every dollar shown is tied to a stated calculation method and a stated baseline. Streams with invoice-verifiable evidence carry higher confidence than modeled risk-avoidance streams; both are reported separately rather than blended.
Five value streams, ranked
Energy from optimized aeration and pumping is the largest line item. Aeration blowers alone account for 50–60% of total treatment plant energy spend, which makes it the single biggest controllable opex lever in the utility.
Energy savings from optimized aeration & pumping
Aeration blowers and pumping represent 50–60% of total plant energy spend, making this the largest controllable opex line in the utility. Savings are calculated as (baseline kWh/MG − achieved kWh/MG) × MG treated × blended $0.094/kWh, using a rolling 90-day pre-AI baseline per unit process. DO-trim and blower sequencing changes are attributed only where the SCADA setpoint change is timestamped against the AquaGuardian recommendation.
Financial values are estimates. Figures are not audited financials and are shown for evaluation purposes.
Avoided regulatory / NPDES permit exceedance risk
Modeled as (probability of exceedance event × expected enforcement cost) avoided, where probability is derived from the frequency of process excursions that AquaGuardian flagged and operations corrected before a permit-limit breach. Expected enforcement cost blends state penalty schedules, mandated corrective-action capital, and consent-order administrative burden observed in comparable mid-size utilities.
Financial values are estimates. Figures are not audited financials and are shown for evaluation purposes.
Avoided unplanned lift station downtime / avoided SSOs
Each predicted lift station failure intercepted before wet-well overflow is credited with the avoided cost of a sanitary sewer overflow: emergency crew mobilization, vac-truck recovery, site remediation, public notification, and expected regulatory penalty. Only events with a documented pre-failure intervention are counted; scheduled maintenance is excluded.
Financial values are estimates. Figures are not audited financials and are shown for evaluation purposes.
Chemical dosing optimization savings
Alum, polymer, and hypochlorite consumption is compared per million gallons treated against the pre-AI baseline at matched raw-water quality bands, so seasonal turbidity swings are not credited as savings. Delta is priced at current contract unit cost.
Financial values are estimates. Figures are not audited financials and are shown for evaluation purposes.
Avoided emergency / expedited chemical delivery costs
Direct, invoice-verifiable stream. Counts each replenishment PO raised ahead of the supplier lead-time window that would otherwise have required expedited freight, priced at the historical expedited premium per delivery for each chemical.
Financial values are estimates. Figures are not audited financials and are shown for evaluation purposes.
What is deliberately excluded
Overstating savings destroys credibility with a utility board. These categories are left out of the totals above.
Weather and demand swings
Chemical and energy deltas driven by raw-water quality or seasonal demand are normalized out. Only matched-condition improvements are credited.
Scheduled maintenance
Planned rebuilds and calendar PM work are not counted as avoided failures, even when AquaGuardian confirmed the asset condition.
Soft and staffing benefits
Operator hours recovered, faster reporting, and reduced callouts are real but excluded from dollar totals to keep the ROI defensible.
Demo environment · values shown are realistic estimates, not audited financials
AquaGuardian add-on bots
Optional autonomous modules that run on top of the core AI layer. Click any bot for how it works, the data it consumes, and its guardrails — the first three ship with a live console in this demo.
Energy Optimization Bot
Highest valueTracks blower and pump energy against real-time flow demand and prices out savings from optimized run schedules, DO trim, and blower sequencing.
Typical: 8–14% reduction in kWh/MG
NPDES / Permit Compliance Reporting Bot
Auto-generates regulatory submission data from plant telemetry and flags exceedance risk before the sample is pulled, with an audit trail per parameter.
Typical: 30+ staff hours/month recovered
Chemical Dosing Optimizer Bot
Optimizes chlorine, polymer and alum dosing against real-time flow and quality targets rather than fixed setpoints, holding compliance margin at the lowest feasible dose.
Typical: 6–11% chemical spend reduction
Lift Station Overflow Prevention Bot
Predicts wet-well level trajectory against available pump capacity and forecast inflow to flag sanitary sewer overflow risk hours ahead.
Typical: SSO risk events intercepted 4–9 hrs early
Asset Lifecycle & PM Manager Bot
Maintains condition-based PM schedules and remaining-life estimates for pumps, blowers and valves, replacing fixed-calendar intervals with condition triggers.
Typical: 15–20% reduction in PM labor hours