Could AI-powered Arez stop your business leaking cash?

Most FM and security businesses don’t lose money in one big, dramatic mistake. It slips away in small, constant leaks: badly described jobs, the wrong engineer turning up, wasted miles, re-work, and under-priced call-outs that “seemed about right at the time”.

Arez AI is designed to plug those gaps.

Rather than sitting in a lab or on a slide deck, Arez runs quietly inside your day-to-day job management – from client message through to proof of attendance, invoicing, automating, simplifying and improving the delivery of your jobs. The result jobs delivered at around 30% lower cost.

Here’s how that actually happens in practice.
 

1. Less time wasted turning noise into usable work orders

Most jobs don’t arrive neatly formatted. They come in as hurried emails, incomplete notes in a call log, WhatsApp messages from the site, or a photo of “something leaking” with no context. Normally, someone in your helpdesk has to decode all of this, type it into a system, pick a job type, assign a priority, guess the right trade, and hope they haven’t missed a key safety detail. It’s slow, inconsistent and expensive.

Arez AI takes the first pass for you.

It reads the text, analyses the images and proposes a clean, structured work order: job type, likely trade, priority, site, asset, and any obvious health and safety flags. Your team simply reviews, adjusts if needed, and presses “Create”.

That shift alone dramatically reduces admin time per job. When you multiply that across hundreds or thousands of jobs a month, you begin to see where part of that 30% saving comes from, fewer people tied up keying data, more time spent actually managing service.

2. Fewer costly mistakes in “Who do we send?”

The second big leak is allocation. In a busy control room, decisions are often made on instinct: “we usually send him there”, “she’s just finished nearby”, “that supplier will do”. It’s understandable, but it’s not cheap.

Send the wrong person, and you get: longer jobs, repeat visits, cancelled appointments and, in some cases, unhappy clients who refuse to pay. Arez AI looks at each job and quietly runs the numbers: skills required, location, travel time, contract rules, SLAs, preferred suppliers, and the live compliance status of each worker or subcontractor. It then suggests the best options, ranked sensibly, so your team start from an informed shortlist rather than a blank screen.

You still make the final decision, but the system helps you avoid expensive mismatches – an electrician sent to a refrigeration issue, a non-vetted guard sent to a sensitive site, an over-qualified engineer doing a basic task at premium rates. Fewer misallocations mean fewer write-offs and revisits, and a healthier margin.

3. Smarter routes, fewer dead miles and overtime

Travel is one of the highest hidden costs in FM and security. A slightly inefficient route rarely looks disastrous on a map, but across fleets of vans and patrols, it becomes significant.

Arez uses AI to build and maintain sensible routes across your day. It knows where your people are, where the jobs are, what time windows apply, and which tasks genuinely can’t be moved. When a P1 lands or a job overruns, it reshuffles logically instead of forcing your team to start again from scratch.

In colder months, this works even better alongside FROST, which predicts weather-driven risk across your sites. Instead of blind gritting schedules or guesswork, the system helps you prioritise the locations that actually need attention, so teams aren’t burning fuel zig-zagging across a region unnecessarily.

By cutting dead miles and overtime, you’re not just improving efficiency for its own sake – you’re directly reducing the cost of delivering each job.
 

4. Pricing and costing grounded in reality, not guesswork

A lot of erosion happens in the numbers you don’t see. A call-out that’s always taken as a “standard price”, even though jobs of that type routinely run over. A contract that looks fine on paper but quietly loses money on a particular asset group or region.

Arez AI works with your historical data – durations, materials, travel, outcomes, and margins by job type, site, and client – and turns it into something you can actually use. 

When you’re quoting, the system can suggest realistic prices that protect your margin, based on how similar work has performed. When jobs are in progress, it can flag those that are drifting off the expected pattern. Over time, you get a clear view of which jobs, assets and sites support your bottom line and which ones quietly drain it.

This is where another large chunk of that ~30% saving appears: fewer under-priced visits, fewer “how did that cost us that much?” conversations, and contracts that are actually profitable in practice, not just in a spreadsheet. You also avoid suppliers slipping in cheeky invoices that inflate costs unexpectedly.

5. Knowing who’s really on site – and stopping fraud before it harms

In security, especially, but increasingly in other sectors too, it matters who actually turns up. Card-sharing, informal shift swaps and “favour cover” can all damage your compliance posture and your credibility with the client.

Arez incorporates AI-based face recognition at the point of clock-in, so you can be confident the person starting a shift or attending a job is the same vetted individual you expect. It’s quick for the worker and the firm, yet provides solid evidence if a client, auditor, or insurer ever questions attendance.

That doesn’t just protect reputation; it protects revenue. If you can clearly prove who was on site and when, it becomes much harder for anyone to challenge invoices or query coverage on vague grounds.

6. Job assurance: proving the work actually happened

Basic proof of attendance, a GPS ping and a ticked box, is no longer enough for many larger UK clients. They want to know the work actually took place and have confidence that your system can’t be gamed. They want confidence that the job data is genuine, that the evidence is real, and that engineers cannot spoof attendance or mark work as complete without actually doing it. Arez uses AI to assess activity around each job: timing, location, forms completed, photos taken, and how the app was used on site. If the pattern doesn’t look right, for example, recycled photos, suspiciously quick visits, or checklists ticked in unrealistic time, the job is automatically flagged for review.

This allows supervisors to focus on the small percentage of jobs that genuinely need a second look, rather than randomly sampling and hoping for the best. The commercial impact is straightforward: fewer disputes, fewer credits, and a stronger position when clients ask for evidence.

7. Compliance happening in the background, not via last-minute panic

There’s the quiet cost of compliance done badly: urgent chases for documents, last-minute cancellations when someone’s licence has lapsed, lost shifts because a worker wasn’t actually allowed on that site. Arez AI keeps track of right-to-work status, SIA badges, CSCS cards, trade qualifications, insurance, and other critical documents. It understands expiry dates and job requirements, and it can block non-compliant workers from being assigned to the wrong contracts.

That means fewer cancelled visits, fewer embarrassing calls to clients, and a lower chance of being forced to use expensive emergency cover because nobody checked the dates in time. Again, it all flows back to cost and margin.

8. AI Document Uploader

The cost of admin is rarely noticed until it’s too late. Manually managing documents—hundreds of site-specific manuals, worker certs, compliance forms, and insurance—is a massive, non-value-add administrative bleed. It’s a full-time job with zero margin.

Arez SmartDocs AI plugs this leak.

Instead of human filing, it allows for the bulk upload of your entire document library. The AI takes over, using machine intelligence to automatically match, process, and securely file every single document to the correct worker, site, or asset. This move eliminates human error and provides records that are genuinely audit-ready.

You get back crucial administrative time, and you stop paying highly-trained staff to do simple filing. This is pure margin recovery.

What “around 30%” looks like in real life

When you add this up, the picture is quite simple.

• You spend less time keying data and selecting service codes.
• You send the right person, first time, far more often.
• You drive fewer unnecessary miles and work fewer unnecessary hours.
• You quote jobs and contracts based on reality, not habit.
• You lose less money to disputes, chargebacks and compliance mishaps.

None of this comes from hiring more staff. It comes from putting Arez AI to work inside the processes you already run.
 

If you’d like to see your own 30%

If you’d like to see what that could look like for your operation – and where your own 30% might be hiding – book a demo of Arez. We’ll walk through real examples, using real workflows, and show you how AI can quietly take cost out of your jobs without adding noise to your day.

👉 Book a demo and see how Arez.io cuts job costs and drives smarter operations.