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See the systems in action

This page presents AI systems designed by CarabAI and available to use today. Each demonstration shows a concrete capability — call handling, qualification, messaging or auditing — without being presented as a case study or client result.

Demonstrations

What we can show you today

Two of these are live systems you can try right now on an external service. The third runs here on CarabAI. Each one shows how the system works.

01Live demonstration

// demo 01 — voice

Talk to an AI voice agent—live

Have a real conversation with Laura, an AI voice agent built by CarabAI. She demonstrates how businesses can answer calls, qualify enquiries and guide callers toward an appointment—even outside normal opening hours.

A similar system can use a local or US telephone number and connect qualified callers with your existing scheduling process.

Voice interactions with Laura may be recorded, transcribed and stored by Retell and may be accessible to CarabAI for operating and reviewing the demonstration. Do not share confidential, sensitive or personal information.

What it shows

  • A real spoken conversation, not a scripted recording
  • How an enquiry is qualified while the caller is still on the line
  • How a caller can be guided toward booking a time
02Live demonstration

// demo 02 — messaging

Experience AI messaging with MagicConnect

MagicConnect demonstrates how businesses can automate conversations across messaging channels and respond to customer enquiries in real time.

When you contact the MagicConnect demonstration through WhatsApp, your WhatsApp phone number, profile information and the message you send may be visible to the receiving account and processed by WhatsApp/Meta and MagicConnect. Do not submit confidential, sensitive or personal information.

What it shows

  • A reply arriving on a channel customers already use
  • How recurring questions are handled without a person drafting each answer
  • How context is held across a conversation
03Live on this site

// demo 03 — on-site application

Run the deterministic AI Opportunity Audit

Unlike the two demonstrations above, this one runs entirely on CarabAI. It is built the way we build client work: published rules for anything that must be reliable, evidence quoted back from your own answers, and a result that is identical every time you run it.

No language model is involved at any point, no AI tokens are spent, and your answers are never sent to a model provider.

Your answers are stored so your result link keeps working. Do not enter passwords, confidential customer data or sensitive personal information.

What it shows

  • Scores computed by published arithmetic, never by a language model
  • Evidence quoted back from the answers that triggered each signal
  • An identical result every time the same answers are given
  • A private, non-indexed result link that needs no account and no email address

Also available, shown in a call

These are not published as live demos because a scripted version would not tell you much. We walk through them against your own workflow instead.

Walkthrough on request

Workflow automation

Administrative workflow demonstration

How a repetitive administrative sequence — extract, validate, move, file — runs end to end, and how the exceptions it cannot settle are routed to a person rather than guessed at.

Shown and explained in a call against your own workflow.

Walkthrough on request

Internal knowledge

Internal knowledge assistant demonstration

How a team asks in plain language and gets an answer drawn from the documents and systems you already have, with the source shown so the answer can be checked.

Shown and explained in a call against your own workflow.

Inside the demonstration

How the AI Opportunity Audit is built

The audit is not a lead-capture form with a score attached. It is a working example of how we build: published rules for anything that must be reliable, evidence quoted back from your own answers, and a result that is identical every time you run it.

Deterministic scoring

Every number comes from published arithmetic on your own answers. The same answers always produce exactly the same result, every time.

Evidence you can check

Every risk signal quotes the answers that triggered it, and names the metric that would make it measurable. Nothing is asserted that you cannot trace back.

No AI in the analysis

The report is generated by our own code. No language model is called, no tokens are spent, and your answers are never sent to a model provider.

How the overall score is composed

Four components, each scored 0–100 from your answers, then blended by fixed weights. The weights are published here because a score you cannot interrogate is not worth much.

  • Business Impact35%
  • Automation Potential30%
  • Measurement Clarity20%
  • Implementation Readiness15%

Operational Exposure is scored separately and is not part of this blend. It describes risk, not opportunity.

The eight questions

One question per step, about three to five minutes in total. No account, and no email address required to see the complete result.

  1. 01What does your company do?
  2. 02How many people work in the business?
  3. 03Which area would you most like to improve?
  4. 04Which problems occur regularly?
  5. 05Approximately how many employee hours are spent on repetitive work each week?
  6. 06How frequently do leads or customer requests receive a late response?
  7. 07Which tools does your business currently use?
  8. 08What would you most like to achieve?
Run the free audit

Would you rather see it applied to your own business?

Run the audit against your own answers, or tell us what you are trying to improve. Either way you will get a specific answer about your own business.

No prepared brief required. Tell us what you’re trying to improve, and we’ll help you identify the next step.