Try a ticket against the live agent.

A working Virgin Active member-app UI on the right, with the real Lorikeet chat widget embedded. Same agent that would handle a member ticket via your CRM in production.

Try: book a class

I want to book the 6:30 Grid HIIT class tomorrow at Mayfair.

Try: freeze membership

Can I freeze my membership for July? I'm travelling.

Try: billing query

Why was I charged £165 on 14 May? I thought my plan was £155.

Try: cancel membership

I'd like to cancel my membership. What's the notice period?

Member IDs and class schedules are demo-only — in production they're auto-attached to the ticket from the member's app session or CRM metadata.

Journey of a member ticket

How Lorikeet's AI agent resolves member issues end-to-end

1

Member sends message

Via app chat, web widget, email, voice, or your ticketing system

2

Channel intake

Mode (chat / email / voice) · Escalation rules · Auto-close config

3

Brand + config loaded

Virgin Active tone · Empathy + retention rules · Region & language matching

4

Inbound guardrail

Evaluate message → pass to triage, or escalate immediately for sensitive cases

5

Intent classification

Bookings, freezes, cancellations, billing, club info — matched against available workflows

Matched workflow

Run response SOP

FAQ fallback

Search KB

No match

Escalate to club team

6

Workflow executes

Structured decision graph or Natural Language agent follows step-by-step SOP

Tools

Booking system · Member CRM · Billing · Club rosters

Knowledge

Class info · Membership T&Cs · Club facilities

Actions

Tags · Notes · Slack · Salvage offers

7

Outbound guardrail

Check AI response against retention, T&C and tone policies → pass or escalate

8

Reply sent to member

Brand voice · Formatting · Citations · Side effects (tags, CSAT, Slack)

If member replies → loops back to step 5 with full context

If no reply → auto-resolved after idle period

Proof of concept

2–4 weeks, offline, free — to prove Lorikeet executes against your real member queries
We'll mock data to simulate live booking, billing, and freeze flows, rather than integrate directly
Zero risk to you — if we don't meet your needs, no obligation to proceed
We can run a live pilot with your members as well, depending on your approval processes

Train and test AI

Integration scoping

Legal / privacy / security review

Week 0–1

We will:

Train Lorikeet's tone and brand from your guidelines
Run response testing over 20–50 example tickets
Plan training based on your SOPs

We need:

Tone of voice, SOPs, ticket corpus
Fast feedback on tickets

Week 1–2

We will:

Build, test and iterate on 1–2 agreed use cases (e.g. bookings + freezes)
Share learning materials with your team
Produce documentation to aid implementation

We need:

Continued feedback on AI response quality

Week 2–3

We will:

Run Lorikeet 101 training session with your champion
Complete any necessary security and legal reviews
Agree on commercial terms

We need:

Tech lead to align on integration plan

Week 3–4

We will:

Complete security and legal reviews
Kick off integration sync

We need:

Agreement on commercial terms and signature

You only pay for resolutions

Aligned incentives by design — we both win when member tickets are resolved.

Pay only for resolved tickets

Lorikeet charges per ticket successfully resolved — as determined by you. If we don't deliver, you don't pay.

No platform or per-seat fees

No setup costs, no per-seat licenses, no monthly minimums. The only line item is resolutions.

Volume discounts

Per-resolution price decreases as volume grows. Available across email, chat, app, and voice.

Aligned incentive structure

You buy credits from Lorikeet up front
Credits are only consumed when the AI reaches the desired outcome
You don't pay if the AI fails and the case is passed to a human
Credits sized to your forecast volume — buy top-up packs at a discount mid-contract, no surprise overages
Final per-resolution pricing scoped together during the pilot, based on workflow mix