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SYSTEM: OPERATIONAL OT/IT CONNECTORS: 150+ AUTONOMOUS OPERATION: 15+ DAYS GOVERNED AUTONOMY: ENFORCED AUDIT TRAIL: IMMUTABLE INDUSTRIES: ASSET-INTENSIVE & MISSION-CRITICAL DEPLOYMENT: 3-6 MONTHS VIA APEX CONTROL LOOPS: 3,400+ SYSTEM: OPERATIONAL OT/IT CONNECTORS: 150+ AUTONOMOUS OPERATION: 15+ DAYS GOVERNED AUTONOMY: ENFORCED AUDIT TRAIL: IMMUTABLE INDUSTRIES: ASSET-INTENSIVE & MISSION-CRITICAL DEPLOYMENT: 3-6 MONTHS VIA APEX CONTROL LOOPS: 3,400+
Available WATER-CSO-STORM-PREP-ADV-001 AI Agent

Storm Event Preparation Advisor

Issues a Storm Preparation Brief 24 to 72 hours before events, with recommended pre-storm actions sequenced by trigger time.

Water & Wastewater Storm & Weather Response

Target outcome · 50% reduction in over-preparation cost per event. Zero under-preparation events.

Business problem

Storm response at CSO facilities is two problems, not one. The first is pre-event preparation: staffing, chemical inventory, pre-drawdown, equipment readiness, inter-agency coordination. The second is event execution. Post-event reviews consistently show that response effectiveness correlates more strongly with preparation quality than with during-event decisions.

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Current preparation relies on standard weather forecasts, operator experience, and conservative default SOPs. The result is either over-preparation (unnecessary staff callout, excess chemical inventory) or under-preparation (running short during unexpected intensity). A typical CSO utility with 15 to 25 significant events per year carries $100K to $300K annually in over-preparation cost, plus unquantified exposure from under-preparation.

What it does

Continuously monitors multi-source weather forecasts, catchment hydraulic state, storage availability, and equipment readiness.

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When forecast confidence crosses the site threshold, issues a Storm Preparation Brief containing event classification with confidence range, recommended pre-storm actions sequenced by trigger time, staffing recommendation, chemical inventory check, equipment readiness verification list, and inter-agency notification triggers.

Current process vs. with AI Agent

TODAY · STORM & WEATHER RESPONSEREACTIVE
×
When to mobilise storm crewOperator judgement, often reactive
×
Pre-storm drawdown targetConservative default
×
Chemical pre-orderFixed reorder triggers
×
Regulator pre-notificationRarely proactive

Outcomes and measurement

Over-preparation cost per event

Baseline $5K to $20K
With agent 50% reduction

Under-preparation events

Baseline 1 to 3 per year
With agent Zero

Operator–Advisor recommendation agreement

Baseline Not yet measured
With agent ≥80%

*All figures are typical ranges. Achievable range depends on existing control maturity, data quality, and site-specific conditions.

Data inputs

External / Weather

Multi-source weather forecastsrain gauges

SCADA

flowlevelstorage

CMMS

equipment status

Other

chemical inventoryhistorical event database

catchment hydraulic model

staffing rosters

*Categories only — no tag names or system-specific field references. Exact data mapping is scoped per site.

Scoping questions

Expect these questions in a first scoping conversation. They signal engineering discipline and help narrow the template to your specific site context.

  1. What weather feeds are already subscribed?
  2. Is a calibrated hydraulic model available for the catchment?
  3. What is the current storm-crew mobilisation SOP?
  4. How is the historical event database kept?
  5. What inter-agency communication protocols exist?

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