Health and Safety
The near miss was logged. Nobody saw the pattern until the injury.
Organisations responsible for site, field or workforce safety collect plenty of incident and inspection data. It sits in disconnected systems, so a pattern is usually visible only after it’s become an injury or enforcement action, whether you manage safety directly or build the software safety teams use.
What makes Panintelligence different
You built the infrastructure.
The gap moved somewhere else.
The problem: incident, inspection and competency data sit in disconnected systems, so safety patterns surface only after harm has already occurred.
The fix: one governed layer with self service dashboards for safety and site teams, deployed in weeks.
The number: after digitising incident capture, Notify Technology’s own customers found themselves handling up to ten times more safety data than before, with no way to act on it, until analytics was embedded directly inside the product.
Built for the people actually making this decision
Health and Safety Director
What is keeping them up at night
Near misses and minor incidents are logged, but the pattern across sites or shifts is rarely visible until after a serious injury.
How Panintelligence helps
Self service, governed dashboards that surface recurring risk patterns across sites, not just individual incident logs.
Head of Product, safety technology
What is keeping them up at night
Customers using your platform want governed safety reporting built in, and it keeps losing to roadmap priorities that ship revenue faster.
How Panintelligence helps
White label, embedded dashboards that ship as part of the product, not a separate engineering project.
Site or Operations Manager
What is keeping them up at night
Contractor competency and induction records are spread across spreadsheets and paper files, hard to check in the moment.
How Panintelligence helps
Live, governed visibility into competency and induction status at the point access is granted.
Compliance or Risk Director
What is keeping them up at night
Regulatory reporting depends on manually reconciling incident data from more than one system.
How Panintelligence helps
Automated, auditable reporting built on the same governed layer as day to day safety monitoring.
The incidents are logged. The pattern is still found too late.
Most organisations responsible for site or field safety aren’t short of data. Incidents are logged, inspections recorded, and competency and training records exist somewhere. What’s missing is a connected, governed view that lets a safety team see a pattern building across sites, shifts or contractors before it becomes an injury, rather than reconstructing what happened afterwards.
This is a structural problem, not a compliance failure. Incident data typically lives in one system, competency and induction records in another, and site access or workforce data in a third. What that means in practice is the question a safety director actually needs answered, where is risk building right now, is harder to answer than it should be.
Ready to see it with your data?
A 14-day no-cost Proof of Concept connects to your actual data environment.
- The first dashboard is live on day one.
- No sample data.
- No hypotheticals.
- Real validation before you commit.
What changes with a single governed layer
Panintelligence sits across your existing incident management, site access and workforce systems and builds one governed semantic layer on top.
PiDashboard is self service, so a safety manager or a site lead can build and explore their own view without submitting a request to an analyst or a central BI team.
PiReport automates the recurring regulatory and RIDDOR reporting that currently depends on manual reconciliation.
PiPredict brings explainable, human in the loop AI to recurring incident and competency risk signals, running on a bring your own LLM model so safety data never leaves your environment.
Built to sit inside the systems you already run
Panintelligence queries data where it lives rather than moving it, which matters more in financial services than almost anywhere else.
- Incident management, site access and workforce competency systems
- Data warehouses already in place: Snowflake, Databricks, BigQuery, Postgres and SQL Server
- Single sign on and role based access control that inherits from your existing identity and permissions setup
- White label embedding into your own customer facing lending, wealth or insurance platform, with no separate login and no third party branding visible
Built for the standard regulated firms are actually held to
Data sovereignty
Zero data movement. Panintelligence queries your data in place, in your own infrastructure or in PiSaaS. Nothing is duplicated into a separate warehouse.
Explainable AI
Predicts runs on a bring your own LLM model, inside your own governance boundary. Every output is interrogatable, not a black box.
Auditability
Every figure in every dashboard and report traces back to source through the same governed semantic layer, with a full permissions and access audit trail.
Regulatory evidencing
The hidden cost of retrofitting
Every figure in every dashboard and report traces back to source through the same governed semantic layer, with a full permissions and access audit trail.
Purpose-Built for Regulated Finance
Every BI vendor should do it as well as Panintelligence. Its visualisations are easy to produce and endlessly customisable. It helps us to differentiate ourselves.”
James Tyler
Business Analyst, Ebix Europe
Skip the generic workarounds. Get fast, governed, embeddable analytics designed explicitly for the unique compliance, speed, and deployment standards that regulated firms are actually held to.
UK support
UK based implementation and support teams, in your timezone, with GDPR native data handling as standard rather than an add on.
If you already run a broader BI platform somewhere
Most IT estates already have a general purpose BI platform licensed somewhere, and procurement understandably defaults to extending what is already paid for. That is a reasonable instinct for enterprise wide reporting. It is a poor fit for the specific problem this page describes, which is fast, governed, embeddable analytics purpose built for site and workforce safety data, rather than a general reporting layer retrofitted to the job. Broader enterprise BI platforms genuinely offer more visualisation depth and ecosystem maturity, which matters for large scale, general purpose reporting teams. Where they tend to be weaker is exactly where this problem lives: deployment measured in months rather than weeks, embedding that requires significant custom development, and pricing that rarely becomes clear until well into a sales cycle.
What this looks like in practice
If you are running this inside your organisation
Incident and near miss pattern monitoring
Challenge
Near misses are logged, but the pattern across sites or shifts is rarely visible until after a serious injury.
How Panintelligence helps
Governed dashboards surface recurring risk patterns across sites and shifts, not just individual incident logs.
Outcome
Earlier intervention, and a defensible evidence trail showing when a pattern was identified and what was done about it.
RIDDOR and regulatory reporting
Challenge
Regulatory reporting depends on manually reconciling incident data from more than one system.
How Panintelligence helps
Automated, auditable reporting built on the same governed layer as day to day safety monitoring.
Outcome
Faster, more consistent regulatory reporting with a full audit trail behind every figure.
Contractor and competency compliance tracking
Challenge
Competency and induction records are spread across spreadsheets, paper files or more than one system.
How Panintelligence helps
Live, governed visibility into competency and induction status at the point access is granted.
Outcome
Fewer gaps between what is recorded and who is actually on site or in role
If you are embedding this in your product
Embedded analytics for lending and wealth platforms
Challenge
Customers using your platform want governed safety reporting built in, and building it in house diverts engineering from the core roadmap.
How Panintelligence helps
White label, embedded dashboards ship as part of your platform, on the same governed data foundation as your internal reporting.
Outcome
Analytics becomes part of the product and the sales pitch, rather than a recurring support request.
What this is worth, in numbers you can check
| Lever | Evidence | How it is calculated |
|---|---|---|
| Sector cost of harm | HSE estimates workplace injury and ill health cost the British economy £22.9 billion in 2023 to 2024, with 40.1 million working days lost. | Industry benchmark, presented as sector context for the scale of the problem, not a guaranteed reduction. |
| Time returned to safety work | Notify Technology found that trend analysis which once consumed hours was significantly accelerated once analytics was embedded in its platform, freeing time for safety work rather than reporting. | Customer specific, qualitative outcome as described by Notify. No specific hours figure has been published, so none is claimed here. |
| Time to value | Typical deployments go live in weeks, not the months a broader BI platform rollout usually takes. | Time from contract to first live, governed dashboard on your own data. |
| Governance and audit readiness | Every figure traces to source through one governed semantic layer with a full permissions audit trail. | Reduction in time spent reconstructing evidence for a RIDDOR or regulatory request. |
| Commercial differentiation | Embedded analytics becomes part of the product for safety and workforce technology platforms, not a support cost. | Customer adoption of embedded reporting, and its role in retention and sales conversations. |
Questions worth asking before you buy anything
Why Panintelligence is different
Most analytics vendors are built for enterprises with large BI teams and long implementation timelines. Panintelligence is built for organisations that need analytics to work quickly, transparently, and without the overhead, whichever way they choose to deploy it.
