An AI colleague for your installation business: quotes, emergencies and scheduling
In an installation business the problem is timing: requests come in while your hands are inside a boiler, and whoever answers first wins the job. Nova picks the request up immediately, asks the questions you would have asked anyway, and prepares a draft quote. Emergency calls are recognised and escalated rather than queued.
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The problem in this sector
Urgent breakdown calls drown in quote requests. Reacting too late = customer walks away.
| Aspect | For this sector |
|---|---|
| Channels | E-mail · WhatsApp |
| Own knowledge | FAQ on breakdowns, service area, opening hours |
| Volume per day | 800 messages (100/hour) |
| Expected outcome | Urgent straight to dispatch. Planning questions auto-replied with 2 proposed slots. |
That table is an example configuration, not a measured average. We do not yet have clients in production, so there are no field figures to show — and invented figures are worse than none. What it shows is the setup we would propose for this type of business, with the volumes that go with it.
Where the limit sits
A draft quote is not a quote. The AI gathers and proposes; you set the price and send. That is not only commercially sensible — a price a system issues on its own is a commitment you are bound to.
Concretely, these are the things Nova does not do on its own here:
- Committing to a price or lead time; it gathers what is needed and prepares the draft for you.
- Judging whether something is safe or compliant — that requires someone looking at it on site.
- Handling or triaging an emergency call itself; that goes straight through to an engineer.
That limit does not live in a setting someone can flip by accident; it is established up front. That is the difference between a system you know the behaviour of and one you find out about afterwards.
The general rules on automated decision-making and transparency are set out in AI and the GDPR for SMEs and the AI Act for SMEs.
How it starts
It starts with a fifteen-minute intake call where we look at which work recurs in your case and lends itself to being taken over. We then analyse your existing communication from the past 90 days, so Nova learns your tone rather than a generic one. A shadow week follows in which it prepares drafts for you to review — only once that is right does it start sending on its own.
That shadow week is not a formality. It is the moment where it becomes visible which work the AI genuinely handles and which work should stay with a human — and that differs more per business than per sector.