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Results
Results you can count
We sell outcomes, so we publish them: before and after, hours saved, volume handled and what the operations lead thinks. Here’s what’s running today.
Proof, in production
Merlo AI: AI employees running a real industry, every day
We built Merlo AI for strata and body corporate management, one of the most admin-heavy industries in Australia. Its AI employees handle the inbox, insurance renewals, compliance, AGMs and Teams assistance, supporting more than 300,000 strata lots across Australia.
The flagship is a maintenance work-order agent. It reads every work order, note and maintenance record, then acts like a coordinator who never forgets: following up open orders, chasing subcontractors for quotes, asking for invoices and requesting status updates.
The same pattern works anywhere someone spends their day chasing, following up and collecting information.
What Merlo’s AI employees own
- Email triage and repliesReads, sorts and drafts responses across shared inboxes
- Maintenance work ordersChases quotes, invoices and status from subcontractors
- Insurance renewalsTracks renewal dates and collects what brokers need
- ComplianceFollows up fire safety and compliance obligations
- AGMsKeeps AGM preparation on track
- Teams assistantAnswers staff questions where they already work
Case study: maintenance work orders
Before and after the work-order agent
Before
- Coordinator reads every work order and email by hand
- Follow-ups depend on memory and sticky notes
- Quotes and invoices chased when someone notices
- Jobs go stale; owners ask for updates
After
- Agent reads every work order, note and record
- Open orders followed up on schedule
- Quotes, invoices and status requested automatically
- Only the jobs that need judgement reach a person
Live build
Our own lead follow-up agent
Before we sell a pattern, we run it on ourselves. We’re putting our own sales pipeline in the hands of an AI employee that follows the same rules we recommend to clients.
- First follow-up within 1 hour of a new lead
- Chases non-responders on day 2, 5 and 9
- Books meetings when a lead replies
- Flags hot leads; pricing and contracts are human only
Numbers will be published here as the pilot runs.
What we’re measuring
| Speed to first touch | Target: under 1 hour, 100% of the time |
|---|---|
| Reply rate | vs our previous manual follow-up |
| Meetings booked | per week |
| Hours saved | per week vs manual follow-up |
Every client gets this
The monthly AI employee report
Retainer clients get the same four numbers every month, so the value is never a matter of opinion.
1
Hours saved
Against the manual baseline from discovery.
2
Volume handled
Items the agent worked, end to end.
3
Error rate
What went wrong, and what we changed.
4
Capacity gained
FTE-equivalent returned to your team.
Could your workflow be the next case study?
Bring the workflow. We’ll size the opportunity on the call.