Every cleaning company business we've worked with has a different definition of "broken". AI meeting notes only earns its keep when it solves the specific definition you'd give it on a bad day – which is why our first call is mostly listening.
Cleaning companies · Applied AI
For cleaning companies who want results in weeks, not a year-long transformation programme.
What AI meeting notes actually does
Every call, site visit, or toolbox talk captured, summarised, and turned into action items in your CRM or project tool. No more 'who was meant to do that?'.
- 01 Works on Teams, Zoom, Meet, or in-person recordings
- 02 Action items auto-pushed to ClickUp, Asana, or Jira
- 03 Searchable history across every meeting your team holds
- 04 Confidentiality controls – what stays internal, stays
Built on: Whisper Claude Recall.ai Vercel
Without Kiwi Dynamics
With Kiwi Dynamics
Lay of the land
The two or three things that decide whether this works for cleaning companies.
- Cleaning businesses run on recurring contracts and one-off quotes, both of which need fast, consistent follow-up to win.
- Quote turnaround and scheduling reliability are what most decide whether a cleaning company keeps a client past the first job.
How we build AI meeting notes for cleaning companies.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for a cleaning company business, so value lands before the build is finished. AI meeting capture.
Talk to usThe outcome for cleaning companies
Saves managers ~5 hours a week on follow-up admin. For cleaning companies, that almost always shows up as fewer interruptions and a calmer week, not a dashboard chart.
Not your typical AI agency.
Honest about what AI can and cannot do
Ships the one workflow that pays for itself
Hours given back, never the size of the invoice
*Every engagement is scoped and quoted up front. Results vary by workflow and business.
Questions
FAQ
How fast could we have AI meeting notes in production?
Eight to ten weeks for most cleaning companies. Faster if your data is in good shape and slower if we're untangling a legacy integration first. We'll give you a realistic number on the scoping call rather than the optimistic one.
What's the smallest engagement you'd take on?
A two-week paid discovery for cleaning companies that aren't sure whether the build is worth doing at all. You get a one-page write-up of what we'd build, what we'd skip, and what it would cost. About 30% of those discoveries end with us recommending you don't proceed.
Can you walk us through a comparable build?
Yes – on the first call we'll pick the closest engagement we've shipped to what you're describing and walk through the outcome, the headcount and the time it took. Saves managers ~5 hours a week on follow-up admin.
What if our cleaning company doesn't have any data ready?
Most don't. Getting the data into shape – ingestion, cleaning, the lightweight contracts you need before any model is useful – is part of the engagement. For AI meeting notes specifically, we typically run that work on Whisper, Claude, Recall.ai, Vercel and assume messy starting conditions from day one.
Twenty minutes, your call.
You describe what's broken. We'll tell you what we'd actually do about it.
Get in touch
Talk to us about this
Tell us what you're trying to do and we'll reply with how we'd build it — no obligation.