{
  "id": "AIBD-0169",
  "title": "SES Water's network-wide AI leak alarms may cut leakage run times by up to 40%",
  "summary": "SES Water installed 1,000 underground flow and pressure sensors with AI prediction that raises leak alarms within minutes; it told the BBC leakage run rate times fell by up to 40% (11 March 2024).",
  "date_observed": "2024-03-11",
  "date_basis": "unassessed",
  "date_precision": "unassessed",
  "benefit_status": null,
  "source_collection": null,
  "source_entry": null,
  "account": "The BBC (Yvette Austin, 11 March 2024) reported on Sutton and East Surrey (SES) Water. It supplies 160 million liters a day to 300,000 homes and businesses in parts of Surrey, Kent and South London. It was among the first UK companies using AI across its whole network to reduce leaks. 1,000 underground sensors monitor flow and pressure. The technology predicts what levels should be. When a leak happens an alarm is raised within minutes and engineers deployed. Innovation manager Jeremy Heath said pipes are often repaired before customers notice a drop in pressure. Head of asset strategy Liam Ahearne said the smart network had reduced leakage run rate times by up to 40%. The BBC noted Ofwat's figure that about a fifth of water put into the network in England and Wales is lost to leakage. It gave SES Water's 2022/23 loss of 76 liters per property per day. It cited the Angling Trust's criticism that the company's targets were not good enough. The vendor and method are not named. No regulator report of a specific repaired burst was found.",
  "category": "general benefit",
  "unexpected": false,
  "purpose": "The smart network was built to detect leaks early from sensor data against predicted levels and dispatch repairs. The reduced run times are its intended use.",
  "system": "SES Water smart network: 1,000 flow and pressure sensors with AI-based predicted-level leak alarms (vendor not named)",
  "model_version": "Aquasuite Burst",
  "developer": null,
  "deployer": "Sutton and East Surrey (SES) Water",
  "location": "Surrey, United Kingdom",
  "domain": "Water infrastructure",
  "segment": "Water distribution leakage management",
  "benefit_type": "Reduced Carbon Emissions",
  "taxonomy_note": "The measured quantity is leak run time; the water saved is inferred, and Trustible's description names water consumption.",
  "registry_ids": {},
  "ratings": [
    {
      "group": "organizational",
      "depth": null,
      "reason": "The up-to-40% reduction in leakage run rate times is the utility's own claim without an independent figure."
    },
    {
      "group": "societal",
      "depth": null,
      "reason": "Leakage reduction targets (15% over five years) are stated as plans; no measured outcome is attributed to the AI."
    }
  ],
  "ai_role": {
    "status": "unassessed",
    "statement": "The BBC report, an independent source with named utility staff, describes the AI only in general terms (prediction of expected levels, alarms within minutes). The developer is unnamed. The 40% figure is the deployer's claim, so the AI's share of any leakage reduction is unverified."
  },
  "evidence": [
    {
      "kind": "news report",
      "citation": "Yvette Austin, 'SES Water: Artificial intelligence helps reduce water leaks', BBC News, 11 March 2024",
      "title": "Artificial intelligence helps reduce water leaks",
      "url": "https://www.bbc.co.uk/news/articles/c4n5pwny536o",
      "date": "2024-03-11",
      "written_by": "independent",
      "quote": "Sutton and East Surrey (SES) Water has installed 1000 sensors underground that monitor flow and pressure, then send data back to base."
    },
    {
      "kind": "news report",
      "citation": "BBC News, 11 March 2024 (Liam Ahearne, SES Water)",
      "title": "Artificial intelligence helps reduce water leaks",
      "url": "https://www.bbc.co.uk/news/articles/c4n5pwny536o",
      "date": "2024-03-11",
      "written_by": "independent",
      "quote": "Our smart network has enabled us to reduce our leakage run rate times by up to 40%."
    },
    {
      "kind": "case report",
      "citation": "Royal HaskoningDHV (undated). SES Water achieves a 40% reduction in leak run time with Aquasuite. Haskoning project page.",
      "title": "SES Water achieves a 40% reduction in leak run time with Aquasuite",
      "url": "https://www.haskoning.com/en/projects/ses-water-achieves-a-reduction-in-leak-run-time",
      "date": null,
      "written_by": "makers",
      "quote": null
    }
  ],
  "replication": {
    "produced_by": [
      "Dense sensor coverage (1,000 flow and pressure sensors) across a compact supply area",
      "Predicted-versus-actual comparison raising alarms within minutes",
      "Repair crews dispatched on alarms rather than customer reports"
    ],
    "must_hold": [
      "Sensor density and telemetry sufficient to localize anomalies",
      "Crew capacity to act on alarms quickly",
      "Independent reporting of leakage volumes to confirm the claimed effect"
    ],
    "echoes": []
  },
  "paired_incident": null,
  "headline": "SES Water's AI leak alarms may cut leakage run times by up to 40%",
  "metric": "reduced leakage run rate times by up to 40%",
  "comparator": {
    "against": "leak run times before the sensor network",
    "before": "previous leakage run rate times (not quantified)",
    "after": "reduce our leakage run rate times by up to 40%",
    "basis": "measured",
    "quote": "Our smart network has enabled us to reduce our leakage run rate times by up to 40%.",
    "url": "https://www.bbc.co.uk/news/articles/c4n5pwny536o"
  },
  "later": {
    "status": "unknown",
    "date": null,
    "note": "No dated development after March 2024 was found; the vendor's undated case study repeats the 40% figure.",
    "quote": null,
    "url": null
  },
  "value": null,
  "developer_country": null,
  "deployer_country": "United Kingdom",
  "unrated_because": null,
  "brief_notes": null,
  "brief": null,
  "revisions": [
    {
      "date": "2026-10-20",
      "change": "Record drafted from the cited sources.",
      "source": null,
      "editor": "AIBD"
    },
    {
      "date": "2026-10-21",
      "change": "Headline reworded to state the event without naming who claims it.",
      "source": null,
      "editor": "AIBD"
    },
    {
      "date": "2026-10-21",
      "change": "Title reworded to state the event without naming who claims it.",
      "source": null,
      "editor": "AIBD"
    },
    {
      "date": "2026-10-21",
      "change": "Benefit type set to Reduced Carbon Emissions under Trustible's full taxonomy of 23 types; it was Improved Environmental Sustainability among the six first used.",
      "source": "https://trustible.ai/post/a-framework-for-measuring-the-benefits-of-ai/",
      "editor": "AIBD"
    },
    {
      "date": "2026-10-21",
      "change": "Added what the benefit is measured against, the model version from the cited sources.",
      "source": "https://www.bbc.co.uk/news/articles/c4n5pwny536o; https://www.haskoning.com/en/projects/ses-water-achieves-a-reduction-in-leak-run-time",
      "editor": "AIBD"
    },
    {
      "date": "2026-10-21",
      "change": "Country of the deployer added from the organization's own site or a registry.",
      "source": "https://www.seswater.co.uk/about-us",
      "editor": "AIBD"
    },
    {
      "date": "2026-10-21",
      "change": "Prose pass: account, purpose, the system's part rewritten in shorter sentences with abbreviations expanded; facts, figures and quotations unchanged.",
      "source": null,
      "editor": "AIBD"
    }
  ],
  "confidence": "reported",
  "shade": "medium",
  "claim_status": "Independently reported",
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            "account": "The BBC (Yvette Austin, 11 March 2024) reported on Sutton and East Surrey (SES) Water. It supplies 160 million liters a day to 300,000 homes and businesses in parts of Surrey, Kent and South London. It was among the first UK companies using AI across its whole network to reduce leaks. 1,000 underground sensors monitor flow and pressure. The technology predicts what levels should be. When a leak happens an alarm is raised within minutes and engineers deployed. Innovation manager Jeremy Heath said pipes are often repaired before customers notice a drop in pressure. Head of asset strategy Liam Ahearne said the smart network had reduced leakage run rate times by up to 40%. The BBC noted Ofwat's figure that about a fifth of water put into the network in England and Wales is lost to leakage. It gave SES Water's 2022/23 loss of 76 liters per property per day. It cited the Angling Trust's criticism that the company's targets were not good enough. The vendor and method are not named. No regulator report of a specific repaired burst was found.",
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              },
              {
                "group": "societal",
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              }
            ]
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        "review_state": "not_assessed",
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        "value": {
          "kind": "record_fields",
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          }
        },
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        "value": {
          "kind": "record_fields",
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            "deployer_country": "United Kingdom"
          }
        },
        "provenance": {
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                "date": "2026-10-21",
                "change": "Headline reworded to state the event without naming who claims it.",
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                "editor": "AIBD"
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                "editor": "AIBD"
              },
              {
                "date": "2026-10-21",
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                "source": "https://www.seswater.co.uk/about-us",
                "editor": "AIBD"
              },
              {
                "date": "2026-10-21",
                "change": "Prose pass: account, purpose, the system's part rewritten in shorter sentences with abbreviations expanded; facts, figures and quotations unchanged.",
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                "editor": "AIBD"
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                "source": "https://www.bbc.co.uk/news/articles/c4n5pwny536o; https://www.haskoning.com/en/projects/ses-water-achieves-a-reduction-in-leak-run-time",
                "editor": "AIBD"
              },
              {
                "date": "2026-10-21",
                "change": "Country of the deployer added from the organization's own site or a registry.",
                "source": "https://www.seswater.co.uk/about-us",
                "editor": "AIBD"
              },
              {
                "date": "2026-10-21",
                "change": "Prose pass: account, purpose, the system's part rewritten in shorter sentences with abbreviations expanded; facts, figures and quotations unchanged.",
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      "sector": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
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            "domain": "Water infrastructure",
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        },
        "provenance": {
          "kind": "legacy_record",
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        "review_state": "record_mapped",
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      "sources[].access_version": {
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      "sources[].citation_locator": {
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          "kind": "record_fields",
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      "systems[].autonomy_permissions": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
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      "systems[].component_role": {
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        "value": {
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        "value": {
          "kind": "text",
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            "ai_role"
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          "source_refs": []
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        "review_state": "record_mapped",
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      "systems[].inputs_outputs": {
        "state": "not_assessed",
        "review_state": "not_assessed",
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      "systems[].model_name": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
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        "value": {
          "kind": "record_fields",
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        "display": {
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        "value": {
          "kind": "record_fields",
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          "record_fields": [
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          "source_refs": []
        },
        "review_state": "record_mapped",
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        "review_state": "not_assessed",
        "coverage": "partial"
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      "taxonomy_crosswalks[]": {
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        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "title": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "title": "SES Water's network-wide AI leak alarms may cut leakage run times by up to 40%",
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        "provenance": {
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          "role": "SHA-256 of normalized original case data"
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        "provenance": {
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          "basis": "Deterministic content version assigned by the local migration.",
          "record_fields": [],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "complete"
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      "workflow": {
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          "kind": "record_fields",
          "fields": {
            "account": "The BBC (Yvette Austin, 11 March 2024) reported on Sutton and East Surrey (SES) Water. It supplies 160 million liters a day to 300,000 homes and businesses in parts of Surrey, Kent and South London. It was among the first UK companies using AI across its whole network to reduce leaks. 1,000 underground sensors monitor flow and pressure. The technology predicts what levels should be. When a leak happens an alarm is raised within minutes and engineers deployed. Innovation manager Jeremy Heath said pipes are often repaired before customers notice a drop in pressure. Head of asset strategy Liam Ahearne said the smart network had reduced leakage run rate times by up to 40%. The BBC noted Ofwat's figure that about a fifth of water put into the network in England and Wales is lost to leakage. It gave SES Water's 2022/23 loss of 76 liters per property per day. It cited the Angling Trust's criticism that the company's targets were not good enough. The vendor and method are not named. No regulator report of a specific repaired burst was found.",
            "replication": {
              "produced_by": [
                "Dense sensor coverage (1,000 flow and pressure sensors) across a compact supply area",
                "Predicted-versus-actual comparison raising alarms within minutes",
                "Repair crews dispatched on alarms rather than customer reports"
              ],
              "must_hold": [
                "Sensor density and telemetry sufficient to localize anomalies",
                "Crew capacity to act on alarms quickly",
                "Independent reporting of leakage volumes to confirm the claimed effect"
              ],
              "echoes": []
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        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
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          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      }
    },
    "summary": {
      "total": 91,
      "addressed": 91,
      "known": 28,
      "reviewed": 0,
      "record_mapped": 28,
      "not_assessed": 63,
      "complete": false,
      "by_state": {
        "value_present": 28,
        "not_reported": 0,
        "unresolved": 0,
        "not_assessed": 63,
        "not_applicable": 0,
        "withheld": 0,
        "source_unavailable": 0
      }
    }
  }
}