ISLTech
AI voice agents

Voice agents that handle the calls your team shouldn't have to.

We design, build and operate AI voice assistants for inbound and outbound calls: intake, scheduling, first-line support and follow-ups. Every conversation follows rules your team approves, and anything outside them goes to a person.

What it does

Outcomes we deliver.

01

Inbound call handling

Answer every call, around the clock, with a natural voice that identifies itself as an assistant and follows your approved script from the first word.

02

Scheduling and intake

Book, reschedule and confirm appointments directly in your calendar, practice or CRM system, and capture the details your team needs before the first human touch.

03

Protocol-driven conversations

Fixed questions, fixed escalation rules and approved wording for sensitive situations, signed off by your clinical or compliance lead before launch.

04

Hand-off with context

When a call leaves the script, the assistant transfers it to the right person with a summary of what has been said, so the caller never repeats themselves.

05

Outbound follow-ups

Reminders, confirmations and routine check-ins placed at agreed times, with consent handled correctly and opt-outs honoured.

06

Call quality and evaluation

Transcripts, call logs and a scoring rubric for every conversation, reviewed weekly during the pilot so behaviour improves on evidence rather than anecdotes.

What you get

Deliverables you own.

  • Call-flow design and approved conversation protocol
  • Deployed voice agent with telephone numbers in your region
  • Integrations with your scheduling, CRM or practice systems
  • Monitoring dashboard and call-quality rubric
  • Runbook, escalation playbook and hand-over session
How it runs

Four steps, measured at each one.

01

Design

Map the calls you receive, decide which the assistant may handle, and write the protocol with the people who own the risk.

02

Build

Assemble the voice stack, connect your systems and configure the escalation rules in your environment.

03

Evaluate

Hundreds of scripted and adversarial test calls scored against the rubric before a single real caller is connected.

04

Launch and monitor

A monitored pilot with weekly call reviews, then either hand-over or a retainer.

Straight talk

What we will and won’t do.

We will
+ Tell callers they are speaking with an assistant, and that calls are recorded where they are
+ Follow the script and escalation rules your team approved, every time
+ Log every call so you can see exactly what was said
We won't
– Give clinical, legal or financial advice, or judge urgency on its own
– Take card details unless a compliant payment flow is configured
– Make commitments outside the rules you have approved
Tooling

What we work with.

Chosen per engagement, never by default. No vendor logos because we are not paid by any of them.

Real-time speech recognition and synthesisTelephony providers and local numbers in your regionLLMs chosen per task, running under your accountCalendar, CRM and practice-management integrationsCall recording with disclosure and configurable retentionConversation evaluation harness
Ideal for

Who this is for.

  • Clinics and practices with high inbound call volume
  • Support teams with after-hours or overflow gaps
  • Firms that need consistent, auditable call handling
Questions

Common questions about ai voice agents.

What happens when a caller asks something outside the script?

The assistant says so plainly, captures the caller's details and transfers or schedules a call-back according to the rules you approved. It does not improvise. Every such case is logged and reviewed so the protocol can be widened with evidence.

Does it sound like a robot?

No. The voices are natural and the assistant handles interruptions and pauses the way a person does. It does, however, always identify itself as an assistant at the start of the call. We consider that part of doing this properly.

Which languages are supported?

English by default. Additional languages are possible for many deployments, but we only offer a language once we have tested it for your specific workflow, because quality varies by language and domain.

How does it integrate with our systems?

Through their APIs where they exist: calendars, CRMs, practice-management and ticketing systems. Where an integration is not available, the assistant captures the request in a structured form for your team to action.

How long until it is live?

Typically four to eight weeks from scoping to a monitored pilot, depending on integrations and how quickly the protocol is approved on your side.

Tell us what you're trying to ship.

Thirty minutes with the founder. We'll tell you honestly whether we're the right team, and what it would cost.

hello@isltech.ai