AI Recommendations

Ranked by expected value

Four open recommendations across the treatment facilities and collection network. Each carries an AI confidence score, a financial impact estimate, and the efficiency recovery expected once the action is closed out.

#1HIGHAI 92%Schedule within 10 days

Service Aeration Blower #2 bearings during next low-flow window

Aeration Blower #2 · WRF Basin 3

Financial impact

$148,000 / yr energy recovery

Plus $210,000 avoided emergency rebuild and nitrification risk

Performance recovery

+6.2% process efficiency

Why this ranks here

Aeration is 54% of WRF electrical spend. Blower #2 is consuming 11.4% more kW per SCFM than baseline while under-delivering DO in Basin 3. Bearing replacement restores air delivery per kW and removes the 24–38 day projected failure window.

Recommended actions
  • Stage drive-end and non-drive-end bearing kit (7-day parts lead time)
  • Execute swing to Blower #1 + #3 during 01:00–05:00 diurnal minimum
  • Re-baseline kW/SCFM and DO control loop after restart
#2MEDIUMAI 84%Schedule before next wet-weather forecast window

Inspect and pull Lift Station 14 Pump A for impeller wear

LS-14 Wet Well Pump A · Collection Network

Financial impact

$96,000 avoided SSO exposure

Plus $18,400 avoided emergency replacement premium

Performance recovery

+11% station hydraulic capacity

Why this ranks here

Flow is 11% below hydraulic baseline at equal VFD speed with vibration at 5.4 mm/s. LS-14 has no gravity relief and serves 11,400 connections; restoring firm capacity ahead of wet weather removes the highest-liability failure mode in the collection system.

Recommended actions
  • Bypass pumping setup, pull Pump A, inspect impeller and wear ring clearance
  • Verify check valve and force main air release while station is down
  • Re-run hydraulic baseline test after reinstall
#3MEDIUMAI 96%Apply to current PO cycle

Optimize sodium hypochlorite day tank replenishment scheduling

Hypochlorite Day Tank · WTP-2 Chlorine Feed

Financial impact

$7,800 / yr avoided expedited delivery

Plus reduced hypo degradation from smaller, more frequent deliveries

Performance recovery

+2.1% chemical cost efficiency

Why this ranks here

Consumption is running 9% above seasonal baseline. Moving the reorder trigger from fixed level to forecast-based (consumption rate × 9-day lead time + safety stock) eliminates expedited freight events and limits on-site hypo age, which degrades at elevated ambient temperature.

Recommended actions
  • Shift reorder logic to forecast-based trigger in the Mirador-class controller
  • Set 12-day safety stock floor on the TankChek level signal
  • Align delivery cadence to WTP-2 demand curve, not calendar
#4LOWAI 78%Next scheduled maintenance window

Clean and inspect UV Bank 1 quartz sleeves and wiper cycle

UV Disinfection Bank 1 · WRF

Financial impact

$21,000 / yr lamp and energy waste

Restores disinfection dose margin above permit

Performance recovery

+3.4% disinfection energy efficiency

Why this ranks here

Transmittance has fallen from 82% to 71%, forcing 14% higher lamp power to hold dose. Wiper cycle timing has drifted since the last outage; retuning the cycle and manually cleaning sleeves restores UVT and lamp life.

Recommended actions
  • Manual sleeve cleaning on Bank 1, channel drained
  • Retune wiper interval from 90 min to 45 min through wet-weather season
  • Trend UVT for 14 days to confirm recovery

Demo environment · values shown are realistic estimates, not audited financials

Model inputs

How recommendations are ranked

Expected value equals modeled financial impact multiplied by AI confidence, discounted by the scheduling window and by the consequence class of the failure mode.

Failure signature match

Vibration, flow, power and quality trends are compared against labeled historical failures on the same equipment class. Match strength sets the base confidence.

Consequence class

Energy waste, permit exceedance risk, and sanitary sewer overflow exposure are weighted separately. SSO and NPDES exposure carry liability multipliers.

Actionability

Parts lead time, redundancy available during the outage, and the next feasible low-flow window determine whether a recommendation is HIGH now or MEDIUM later.

Add-on modules

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 value
Live in demoAI 93%

Tracks 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

Open console

NPDES / Permit Compliance Reporting Bot

Live in demoAI 90%

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

Open console

Chemical Dosing Optimizer Bot

Live in demoAI 88%

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

Open console

Lift Station Overflow Prevention Bot

PreviewAI 86%

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

RoadmapAI 84%

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