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Yes AI - AI Solutions Australia

Phone ordering workflow planning

AI Phone Order Taking for Australian Businesses

Plan how a caller’s request becomes an acknowledged order, using the venue’s approved menu, integration access and staff handover.

The example below is fictional. It creates no order, payment or message, and does not demonstrate a working connection to a venue.

Fictional order conversation

The sample shows disclosure, an optional add-on and a read-back. Prices and the pickup time are invented demonstration values.

Read the full sample conversation

  1. AI assistant

    Hello, this is the AI ordering assistant for Example Pizza. I can help with an order or pass you to the team.

  2. Customer

    A large Margherita and a garlic bread for pickup, please.

  3. AI assistant

    The example menu lists those at $22 and $8.50. An optional 1.25L soft drink is $3. Would you like one?

  4. Customer

    Yes, please add the drink.

  5. AI assistant

    That is one large Margherita, one garlic bread and one drink, totalling $33.50. In this fictional example the venue has approved a 7:25 pm pickup. Is that correct?

  6. Customer

    Yes, that is correct.

  7. AI assistant

    The sample receipt below shows those details. A real workflow would need the venue system to acknowledge the order before confirming acceptance.

Fictional receipt

Example Pizza (fictional venue)

SAMPLE-001

10 September 2026, 7:05 pm

1 × Large Margherita
$22.00
1 × Garlic bread
$8.50
1 × 1.25L soft drink (optional add-on)
$3.00

Sample total (AUD)$33.50

Illustrative pickup: 7:25 pm

Fictional receipt only, not a tax invoice or evidence of payment. The sample time is not a preparation-time promise.

Book a consultation (03) 9003 0111

Standard consultation: 30 minutes, free for businesses with 20+ full-time staff; otherwise AUD200 including GST. Implementation is scoped separately.

Start with the venue’s constraints

Call handling is one part of order fulfilment. Compare actual demand, kitchen capacity and support work before choosing what to automate.

Demand evidence

Use call and order records to separate enquiries, repeat calls, accepted orders and abandoned requests. An unanswered call is not automatically a lost sale.

Fulfilment capacity

Check preparation slots, stock, delivery coverage and staff availability. More intake has no benefit if the venue cannot fulfil the additional orders.

Complete costs

Compare platform agreements, payment fees, labour, goods, setup and ongoing provider costs. Gross phone-order value is not profit or a guaranteed saving.

Six stages to agree and test

These are design requirements for a proposed workflow, not evidence that a particular venue or provider already supports them.

  1. 1. Introduce the assistant

    Explain that the caller is speaking with an AI assistant and provide a route to a person. Agree how unanswered transfers and unavailable staff are handled.

  2. 2. Use the approved menu

    Reference current menu items, prices and availability from a source the venue approves. Uncertain dietary or ingredient questions need staff review.

  3. 3. Read back the order

    Repeat quantities, sizes, changes and instructions for the caller to check. Decide which requests need a person before anything is submitted.

  4. 4. Offer approved options

    Optional add-ons must use valid prices and leave the caller free to decline. Test whether suggestions are appropriate; do not assume they increase sales.

  5. 5. Check acceptance

    Confirm pickup or delivery details against venue capacity and require an acknowledgement from the order system. A failed request must remain visibly unresolved.

  6. 6. Hand over exceptions

    Define who handles unavailable items, uncertain writes, cancellations and delivery issues. Reconcile an unclear result before retrying an order.

Order handling scenarios

All starting values are fictional assumptions. Set both handling capacities yourself; the proposed capacity is not an AI benchmark. This simplified model holds demand and capacity constant during the hours you select.

Use one consistent basis for order values, preferably excluding GST. The result is gross order value before costs, not profit, a sales forecast or guaranteed recovery.

01,000
01,000
01,000
024
010,000
031

Your capacity comparison

Daily incoming demand
150
Current orders handled per day
120
Proposed orders handled per day
120
Currently unserved demand per day
30
Proposed unserved demand per day
30
Change in orders handled per day
0
Daily gross order value change
$0
Gross order value change over 22 days
$0

Each scenario is capped by incoming demand. A lower proposed capacity can produce a negative change. The model excludes cancellations, kitchen or delivery bottlenecks, changing demand and all costs.

Read the calculation and its limits

Daily incoming demand = incoming orders per hour × modelled hours. Orders handled = the smaller of incoming demand per hour and the scenario’s handling capacity per hour, multiplied by those hours.

Unserved demand = incoming demand minus orders handled. Daily gross order value change = (proposed orders handled minus current orders handled) × average order value. The monthly comparison multiplies this difference by your selected operating days.

Unused handling capacity does not create orders. Check these assumptions against comparable operating periods and measure accepted, fulfilled and paid orders separately during a pilot.

Scope the integration and exceptions

Menu and POS access

Confirm the exact product and account plan, available API operations, rate limits and vendor permission. Read-only menu access does not establish that orders can be written.

Optional add-ons

Agree permitted suggestions, valid prices and how a caller declines. Review complaints and order corrections alongside any change in average order value.

Dietary uncertainty

Refer ingredient and cross-contact uncertainty to responsible venue staff. Keep the approved source visible to reviewers and avoid unsupported suitability claims.

Delivery and payment

Agree who confirms delivery availability, sends any hosted payment link and reconciles the paid status. A provider timeout must not silently create a second order or payment.

Different businesses need different boundaries

A takeaway venue may explore menu-based pickup intake; a bakery may need staff approval for custom orders and deposits. A pharmacy example would be administrative intake for pharmacist review, with no clinical advice, prescribing or automatic refill approval. These are possible scoping examples, not a list of deployed integrations.

Phone order planning questions

How would the assistant check an order?

A proposed workflow reads back items, quantities, changes and the total for the caller to check. The venue decides which requests require staff review. Acceptance should only be communicated after the destination system acknowledges the order; an unclear response needs reconciliation before a retry.

How many orders could it handle?

Capacity depends on the voice provider, account limits, integration behaviour and the venue’s ability to fulfil orders. The calculator uses your assumptions for both current and proposed capacity. It does not establish an AI capacity limit, service level or achievable sales volume. A pilot should test realistic peak demand and failure cases.

Can it connect to our POS or kitchen system?

We first check the specific product, plan, API permissions and vendor approval. A suitable connection needs menu mapping, acknowledgement, duplicate prevention and a staff fallback. Some systems support only limited access or a manual handover. Compatibility and any custom work are established before an implementation is quoted.

How are prices and sold-out items kept current?

Agree one approved menu source, who maintains it and how changes reach the assistant. Test stale data, unavailable products and inconsistent prices. If the source cannot be checked, the workflow should explain the uncertainty and follow the venue’s agreed handover process rather than invent availability.

What happens with allergies or dietary questions?

Use only the venue’s approved ingredient information and agreed wording. Unclear allergen, cross-contact or dietary questions need a responsible staff member. This service does not validate ingredients or make food-safety decisions, and an AI answer should not be presented as a guarantee that a meal is suitable.

Can delivery details or payment be included?

These require separate scoping of delivery areas, fulfilment capacity, provider access and payment confirmation. An approved hosted payment page may be an option; the sample does not collect card information. A sent link or attempted payment is not evidence that an order has been paid or accepted.

What does consultation and implementation cost?

The standard consultation is 30 minutes. It is free for businesses with 20 or more full-time staff; otherwise it costs AUD200 including GST. Implementation, provider charges and ongoing support are scoped separately after reviewing the menu, systems and required handover. There is no fixed subscription, free trial or launch-time promise on this page.

Can a caller speak to a person?

Human handover is a requirement to agree and test with the venue, including business hours, the destination number and what happens if nobody answers. The greeting should identify the AI assistant. A caller’s request for a person should be respected through the agreed transfer or follow-up process, with only necessary contact details collected.

Discuss your order workflow

Bring your current menu source, POS details and a description of the requests staff need to handle. We can identify what needs checking before a pilot is scoped.

Book a consultation

Standard consultation: 30 minutes, free for businesses with 20+ full-time staff; otherwise AUD200 including GST. Implementation is scoped separately.