Water | Energie Utilities

Asset Investment Planning for water utilities

Mains, treatment plants, pumping stations, sewer networks. Build the AMP-cycle plan that justifies your CAPEX, reduces non-revenue water, and meets the regulator’s resilience and water-quality bar.

Aligned to

AMP cycles

EU & UK water regimes

Asset classes

Linear & point

mains, plants, pumps

Sustainability

Carbon & resilience

per scenario

What is AIP for water utilities ?

Asset Investment Planning for water utilities is the discipline used by water and wastewater operators to prioritize multi-year capital programmes — main replacement, plant refurbishment, network extension, sewer rehabilitation — under regulatory price reviews and resilience expectations. AIP combines asset condition, failure forecasts, and consequence weighting to produce a defensible, multi-year CAPEX plan. According to Gartner’s Market Guide for AIP Solutions (December 2024), water and power are among the earliest adopters of AIP because of their expanding asset base and stringent regulatory requirements.

Where today's water CAPEX decisions break ?

Buried-asset uncertainty

The mains underground are decades old, condition data is patchy, and digging to inspect is expensive. Decisions still have to defend themselves.

Non-revenue water

Leaks, theft, and metering inaccuracy erode revenue. Investment in detection and replacement competes with treatment-plant CAPEX.

Regulatory price reviews

AMP cycles (UK), PFAS and lead service line replacement (US), urban wastewater directive compliance (EU) — every cycle ratchets the bar higher.

Climate stress

Drought, flood, and storm-surge resilience now shape investment priorities as much as historical condition.

Energy & carbon footprint

Pumping is energy-intensive. Net-zero commitments collide with treatment quality and resilience needs.

Workforce attrition

Engineering teams holding the network model in tribal knowledge are aging out. The decision logic has to live in the platform.

How Simeo applies to water utilities ?

From buried asset to AMP-cycle plan. Simeo combines GIS, CMMS, condition surveys, and field inspection data into a single multi-year planning model — calibrated to linear-asset failure modes (pipes, sewers) and point-asset failure modes (plants, pumps, valves).

Linear-asset failure modeling

Pipe age, material, ground condition, soil chemistry, pressure, history of bursts. 10,000+ predictive models include water-asset families.

Risk-weighted prioritization

Replace the high-consequence main first — not the oldest. Consequence factors include service population, regulatory exposure, environmental sensitivity.

Treatment plant lifecycle

Asset families across screens, basins, filters, pumps, electrical. Refurbishment vs replacement modelled with full-life cost.

Carbon & energy in plan

Pumping energy and treatment chemicals quantified per scenario. Net-zero pathway sits inside the CAPEX plan, not next to it.

Audit-ready evidence

Every action links to the asset, the condition data, the model, the regulatory line item. ISO 55001 and AMP submission-ready.

CMMS integration

Field execution flows back to the model. Strategic plan flows forward to work-order prioritization. Partner: CARL Software →

Outcomes

What water utility executives quote back.

25 - 30%

TCO reduction

10%+

Reliability improvement

6–12 wks

First plan

AMP-ready

Regulatory evidence

FAQs

Frequently Asked Questions

Most water utilities start with patchy condition data. Simeo's predictive models infer condition from age, material, soil, pressure, and burst history — so you get a defensible risk view immediately, then refine as inspection data flows in.

Yes. The audit-ready evidence trail — asset register, condition data, predictive model output, action library, multi-year plan — aligns with the documentation regulators expect. Same logic supports EU UWWTD and US PFAS / lead service line filings.

Yes. NRW reduction (leak detection, district metering, mains replacement) competes head-to-head with treatment and source CAPEX in the same scenario engine.

Simeo ingests data from major hydraulic and SCADA systems via REST/GraphQL APIs. Integration patterns documented per system.

Default: Azure France region (EU residency, ISO 27001, NIS2-aligned). For utilities under strict isolation requirements: fully self-hosted Kubernetes deployment. See deployment options →