Insurers & Actuaries

From Historical
Claims to Live
Telemetry.

Stop pricing construction risk in the dark. Transition to real-time, actuarial-grade operational data extracted independently from active UK sites.

For Risk Underwriters & Actuaries
Relevant to Construction Insurers
Construction underwriting currently relies on lagging indicators — historical claims data and sanitised, scheduled HSE audits. By the time a risk is visible on paper, the liability is already compounded.

The structural reality facing every construction underwriter — reactive pricing on stale data while live risk compounds invisibly across every active project.

Priced on
History.
Exposed
in the Present.

Construction underwriting has always operated on a paradox: the data used to price risk is the furthest from the risk itself. Claims datasets are eighteen months behind the events that generated them. HSE audits are pre-announced, sanitised, and structurally incapable of capturing the normalised welfare failures that precede most serious incidents.

SiteFlow extracts what the scheduled audit never sees — the live operational ground truth from communications already happening on site.

18+ mo

Typical lag between a site incident occurring and the event appearing in a usable claims dataset — during which time identical risks continue to be priced at pre-incident rates.

87%

Of documented risk events are first reported in unstructured site communications — never entering a formal management system visible to underwriters before the exposure window closes.

0 visits

Site visits required by SiteFlow's extraction methodology. Data is sourced independently from existing communications — it cannot be filtered, prepared, or sanitised by the contractor before delivery.

We Extract.
You Price.

SiteFlow's extraction layer operates independently of the contractor. No cooperation required. No pre-prepared data packs. No site visits. The output is a structured, immutable ledger your actuarial team can model against immediately.

01

Raw Site
Communications

Unstructured operational communications from active construction sites — daily briefings, incident reports, group messaging, and site activity logs. No new process. No contractor involvement in the extraction.

02

Actuarial
Classification

Every message is classified automatically against risk-relevant event types: welfare failures, near-misses, equipment faults, normalised safety violations, and cultural risk indicators — timestamped at source.

03

Structured
Risk Ledger

Classified events become a structured, exportable ledger — available as CSV or via API — ready for direct ingestion into actuarial risk models, live pricing frameworks, or portfolio-level exposure monitoring.

Actuarial-Grade
Data from
Live Sites.

Three extraction outputs, each targeting a distinct blind spot in the conventional underwriting data stack. Deploy individually or as a unified telemetry feed across your portfolio.

01

Leading Risk
Indicators

Track normalised welfare failure and "macho culture" signals before an accident occurs. SiteFlow surfaces the behavioural precursors to serious incidents — the patterns that never appear in a claims dataset because they predate it.

Outcome — Predictive risk signals ahead of HSE intervention or first-notification of loss.

02

Actuarial Ledger
Export

Raw, unstructured site chaos transformed into structured CSV and API ledgers for instant risk modelling. Every event is timestamped, classified, and exportable in formats compatible with your existing actuarial infrastructure.

Outcome — Live data inputs for dynamic pricing models. Portfolio exposure mapped in real time.

03

Immutable
Audit Trails

Independent, third-party data extraction that contractors cannot alter or filter. SiteFlow's methodology is structurally separated from the insured — the audit trail reflects operational reality, not a managed version of it.

Outcome — Independent evidence base for claims assessment, dispute resolution, and regulatory disclosure.

Go Deeper:
Underwriting Intelligence

Actuarial Framework

Live Risk Pricing
Framework

Transitioning from reactive to predictive modelling. Our framework maps the structural data gaps in conventional construction underwriting and outlines a methodology for integrating live operational telemetry into dynamic pricing models — from leading indicator weighting to portfolio exposure scoring.

Download the Framework

Risk Intelligence Briefing

The "Green Watermelon"
Effect

Why contractor-supplied safety dashboards are green on the outside, red on the inside. This briefing documents the structural incentives that produce sanitised compliance data — and explains why independent extraction is the only mechanism that eliminates reporting bias at source.

Read the Briefing

Ready to price on live data?