Continuous risk intelligence for commercial insurance

Know the risk. Not just the proposal.

Mitigate It turns existing CCTV into continuous risk intelligence. During the policy year, it helps businesses identify and reduce risk before incidents become claims. At renewal, it gives you a richer picture of how risk was managed, supporting more informed underwriting and sharper pricing.

Live Camera 01 · Site entrance
AI CCTV identifying workers in PPE and flagging one without a hard hat PPE alert

The problem

Commercial risk is underwritten on a snapshot

Cover rests on proposal forms and site visits. Both are useful, and both show a controlled, on-paper picture of a risk on its best day. Between renewals the insurer is largely blind, and the first signal that a risk was not as declared is usually the claim itself. That model has persisted not because it works, but because there has been no alternative.

The shift

The evidence already exists. It just was not being looked at.

The sites you cover already run CCTV that records what actually happens, every hour of every shift. Until now that footage was only ever reviewed after a loss: forensic evidence, never prevention. No underwriter can watch thousands of hours of video. Proven analytics can, live, flagging hazards to the people on site in time to act and returning structured risk data to underwriting.

Insurance has been here before. Telematics repriced motor, and home insurers already fund leak detection because prevention costs less than paying claims. No UK insurer currently embeds AI CCTV analytics in a commercial product. That is the opening.

What it changes

Better data, fewer claims, stronger books

Three outcomes, mapped to the numbers a book is judged on.

Fewer, smaller claims

Real-time alerts let sites act before incidents become claims, and earlier detection reduces the severity of those that still happen. Every month a scheme runs, the picture of your risks gets richer.

Underwrite reality, not declarations

Continuous site evidence supports the fair presentation of risk, validates what was declared at placement, and adds behavioural signals no proposal form can capture.

A product customers stay for

A genuinely useful service deepens loyalty, stands out in the market, and gives you room to compete on price where the risk is genuinely lower.

The risk intelligence loop
  1. Detect

    Live risk signals from the site, starting with the CCTV already running

  2. Act

    Alerts reach the people on site in time to step in

  3. Learn

    Structured risk data flows back to underwriting

  4. Price

    Cover, terms and renewal reflect the real risk

Then it repeats. Every cycle adds data, and pricing moves closer to reality.

How it works

Three steps from camera to claim prevention

No new infrastructure for your policyholders, and no rebuild of your product.

01

Connect existing CCTV

The platform integrates with your policyholders’ current cameras over standard network protocols. No rip and replace.

02

AI analyses the feed

Video is analysed in real time, either on site at the edge or through secure cloud processing, depending on the deployment.

03

Alerts and data flow

Risk alerts reach the right people on site, while structured risk data flows back to underwriting.

The same cameras watch for more than thirty risks, from PPE and working at height to fire, escape of water and intrusion. See the full list of use cases.

The evidence

Proven analytics, newly applied to insurance

The detection engine behind the platform is built by our technology partner, a specialist video analytics company, and already runs on industrial sites internationally.

400+projects delivered
15countries deployed, across four continents
4.2m+hazards detected since launch
73%reduction in total recordable incident rate

Figures published by our technology partner from their own industrial deployments, not Mitigate It insurance results. See the full proof story.

The best claim is the one that never happens. Behind every prevented incident is something simple: a Dad getting home to his kids at the end of the day.
Rob Taylor, Founder, 15+ years in UK insurance. Read his story.

Built by an insurance operator, powered by a proven analytics engine, and structured so the insurer, the broker and the policyholder all win.

FAQ

Questions insurers ask first

How does the system integrate with existing CCTV?

The software can run directly on suitable on-site hardware, or video can be processed through secure cloud infrastructure. In most cases there is no need to replace existing cameras.

What about GDPR and privacy compliance?

Privacy is designed in from the start. Deployments follow data minimisation and privacy-by-design principles, process footage only for the agreed risk use cases, and are configured to meet UK GDPR, including a data protection impact assessment where appropriate. Data residency is agreed as part of each deployment, with UK and EU hosting available so footage and detection data stay in-region.

How do you keep false positives low?

Detection is tuned to each site, with configurable parameters so sensitivity matches the operational context and risk appetite. The AI models are also continuously fine-tuned, so accuracy improves over time and alerts stay relevant to the people who act on them.

What are the costs involved?

Software pricing starts from £15 per camera per month, with no upfront fee. Exact pricing is confirmed against the final requirements, as it depends on how the camera streams are processed and the number of use cases being monitored. Any hardware needed for on-site (edge) processing is additional and depends on the site. In most cases the claims prevented outweigh the combined cost of software and hardware.

What hardware is needed?

Either a small on-site compute device for edge processing, or the cloud option which needs no additional hardware. Requirements depend on the number of cameras and use cases.

See it working on a real site

A focused 30 minutes, not a slide deck: live detections, the risk data your underwriters would receive, and what a pilot could look like on part of your book. No obligation.