Cooper is live, and the renewal price just went up 25%
On 13 May 2026, Simpro Group switched on Lightning, an AI-native operating platform rolled out simultaneously across its three field service brands: Simpro, AroFlo and, in the UK and Europe, BigChange. Simpro Group calls it the largest single product release in the company’s history. At the centre of it sits Cooper, an AI layer the company describes as an operations director that never needs briefing and never forgets a job history.
Existing customers were offered a promotional uplift of 15% to move to Lightning, available through 31 May 2026. That window has closed. The standard uplift on renewal is 25%, and Simpro’s own Price-Lock Guarantee, the policy limiting future rises to inflation plus 3% for the life of the agreement, only starts protecting you after that initial jump.
Put in pounds rather than percentages, that matters more than it sounds. Base BigChange pricing runs to roughly £79.95 per user per month on the Standard tier and £99.95 on Plus, which bundles a tablet and hardware, according to third-party pricing trackers, since BigChange does not publish headline pricing itself. A quarter on top of that, for a five-van operation already running five seats, is a meaningful jump in the annual invoice before you have established whether Cooper’s own numbers hold up in your business.
What Cooper actually does
Cooper is not a chatbot bolted onto a sidebar. It is an orchestration layer that lets Simpro Group ship AI features across three separately acquired products at once, and Lightning launched with four named agents built on top of it: JobReady, which prepares pre-dispatch briefings for engineers; JobScribe, which turns voice notes into job documentation; JobBrief, which writes post-job customer summaries; and FieldReady, which handles technician onboarding. BigChange’s own materials cite JobReady lifting first-time fix rates from an industry-average 75% up to 90% or higher, by briefing engineers with full job history, customer notes and parts data before they arrive on site.
That is a real, measurable outcome if it holds up in your own operation: fewer wasted call-outs, fewer engineers arriving without the right part. It is also a figure supplied by the vendor, not an independent audit, and worth testing against your own numbers before you build a business case around it.
The reviews are genuinely mixed, not just cautious marketing-speak
This is not a case of a launch getting the usual mixed early reviews that settle down after a few months. Independent coverage of the Lightning rollout and user reviews on software comparison sites include at least one customer stating plainly that “Lightning does not work,” describing hours spent with Simpro staff who agreed the system was not fit for purpose, and requesting a refund with billing paused until it functioned as sold. Alongside that sit customers reporting genuinely faster admin and fewer chased-up job reports. Both things are apparently true at once, for different accounts, which is a more honest starting point than either the launch headline or a single bad review taken alone.
What this means if you run a UK trades or field service business
None of this is a reason to avoid AI in field service. The admin problem Cooper is aimed at is real: engineers genuinely do lose evenings to job write-ups and briefing notes, and anything that gets that time back is worth taking seriously. The question is whether the only route to that outcome is a platform-wide upgrade with a 25% price rise attached, delivered to an install base that is, by the vendor’s own review record, not yet universally convinced it works.
The individual jobs Cooper’s agents do, turning a voice note into a written job report, drafting a customer summary, briefing the next engineer from job history, are narrow, well-defined tasks. A small, purpose-built automation can also handle them, connected to whatever job management system you already use, without a platform-wide renewal increase attached to the whole relationship. We build exactly this kind of targeted automation for trades businesses: the specific workflow that is actually costing you admin hours, tested against your own job data before you commit to it, not a platform swap taken on faith.
Before you accept the renewal
If you are already a BigChange customer facing the Lightning upgrade, ask for the fix-rate and time-saved numbers from a reference customer running a similar operation to yours, not just the headline figure. Read the reviews from the last three months, not the launch coverage, since a platform this new will have a very different review profile in six months than it does today. And check what your contract actually locks you into if Cooper does not deliver in month three what the sales conversation promised in month one, including whether the Price-Lock Guarantee applies from day one or only kicks in after the first renewal jump has already landed.
Cooper is a serious product from a serious platform, built by a group that has spent real engineering effort making it work across three brands at once. The 25% bill increase that comes with it, and the genuinely split verdict from the customers already living with it, are just as real, and both are worth seeing in full before you renew.
None of that is an argument for standing still on AI in field service either. The businesses getting the most out of this moment are the ones asking sharper questions of every vendor, Cooper included, rather than the ones either signing on launch-day enthusiasm or dismissing the whole category because one big platform had a rough rollout.