Client
A fire protection company sourcing new commercial customers likely to need fire safety protection.
Case study
AI Lead Scout for a fire protection business.
This fire protection company wanted to find new commercial customers faster than a manual search allowed. Here's what was built, and what it does every day now.
Data sources
Companies House new business registrations and public planning portal applications, checked daily.
Casting a wide net
How it used to be done: outreach went out broadly across many different business types and areas: golf clubs, bowling clubs, scout halls, gyms, takeaways, care homes, restaurants, and other sites that might need fire safety protection services. The work was manual and time-consuming, with lots of businesses to identify, check, and contact before knowing which ones were actually worth pursuing.
The challenge was that only a small percentage were likely to move, often because they already had established relationships with other suppliers. Fire protection customers can be very sticky though: once a business is brought into an annual inspection routine, it can remain a customer for as long as it stays in business.
What was built
A system that watches Companies House and planning portals every day for the moments a business actually needs to think about fire protection: a brand new company forming, a change of use on a planning application (which can trigger a fire risk assessment requirement), or a change of ownership, a natural point to check the paperwork and get compliant.
Each new lead is enriched with basic business detail: a live website, an active social presence, and other signs of a real, trading business, then scored by relevance to what the company actually does. The sales team opens one prioritised screen each morning instead of casting a wide net and hoping.
What it does now
Running daily, without manual intervention.
Surfaces new, previously-unknown leads before a manual search would have found them; scores and ranks them so effort goes to the best prospects first, instead of every warehouse, care home, or gym in the region; gives a single dashboard view instead of scattered manual checks.
Live dashboard
What the sales team actually opens each morning.
A running total of sourced leads, split by priority and qualification status, updated automatically as new scout runs complete. Recreated with illustrative numbers and lead details for public use.
KinAct AI's workflows are built to remove repetitive manual work, not to replace human judgement. The goal is to free up a capable person's time by handling the gathering, structuring, and drafting of information, while keeping human review in the loop for all final decisions.
Why it matters
Lead generation was a background task competing with the rest of the working day. Automating the finding step does not replace the salesperson's judgement about who to call or what to say. It means their time goes to conversations, not searching.
Same shape, different workflow