The Challenge

Maintenance calls are the hardest service moment in property management.

Tenant service desks rely on human agents to answer calls, identify the issue, determine responsibility under the lease, select the right contractor, secure owner approval, and coordinate the appointment. The process is time-consuming, hard to scale, and depends entirely on the agent on duty.

Calls come in outside office hours. Information arrives incomplete. Multiple parties need to be in the loop before anything can be resolved. Everyone loses time.

The question: can AI support; and partially automate; this end-to-end workflow without losing control or quality?

The Proof of Concept

An autonomous voice agent that orchestrates the full workflow.

We designed and built a proof of concept centered on an autonomous AI voice agent, fully integrated with existing systems and data sources. It doesn't just answer questions; it runs the process end-to-end.

01

Call intake

A tenant calls to report a maintenance issue. The voice agent answers immediately; 24/7 availability, no queue.

02

Issue identification

The agent asks targeted questions to identify the exact nature of the problem: plumbing, electrical, heating.

03

Information gathering

Dynamic follow-up questions collect everything needed to resolve the issue in one call.

04

Lease contract validation

The system looks up the lease to determine responsibility and financial accountability. No manual check-ups.

05

Contractor selection

The AI selects the best-fit contractor based on issue type, availability, and preferences defined by the owner.

06

Owner approval

When required, the system requests approval from the property owner before any work is scheduled.

07

Appointment scheduling

Once approved, the agent books an appointment directly with the contractor and confirms the details with the tenant.

The Value

Even as a proof of concept, the impact was clear.

The PoC validated what many tenant-facing organisations have been asking: can AI agents orchestrate complex, multi-step operational workflows; not just answer simple questions? Yes.

24/7
Continuous availability for tenants, including outside office hours
-60%
Manual handling reduced for service desk staff on in-scope calls
1 call
Intake, validation, selection, approval; resolved in a single interaction
100%
Structured intake data captured, improving downstream data quality

Why this matters.

This project illustrates how AI can move beyond isolated automation and take on a coordinating role across systems, contracts, suppliers, and people. At Alva Minds, we use proofs of concept to make innovation tangible; quickly validating what works, where value is created, and how solutions can be scaled responsibly.

Have a workflow that looks a lot like this?

We scope and ship proofs of concept in weeks, not months; with a clear path to operational rollout.

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