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Lorikeet Overview for Koru Kids

The universal AI concierge that gets it done, built for marketplaces with families and nannies on either side.

Prepared for Alan Hopley · 13 May 2026
Robbie Tilleard, Lorikeet

The Opportunity

Cut CX handle time by 50%. Hit inbox zero by 3pm. Redeploy the freed team into customer success, retention, and the proactive growth motions you already know are working.

Better customer experience

Accurate first-time answers with full multi-system context. No more "let me check and get back to you" loops. Families and nannies feel served, not deflected.

Always-on responsiveness

24/7 coverage across email, chat, WhatsApp, and voice. No more queues building overnight, no more queries sitting until Monday morning.

Real efficiency

Handle time cut by 50%. The team spends its hours on the high-stakes queries that need human judgment, not the routine ones an AI should already be handling.

Redeployed for growth

The CX team shifts into customer success. Free capacity flows into the proactive motions you have already proven: the 30% conversion concierge, plus the nanny re-engagement gap you said you do "absolutely nothing" with today.

State of Play at Koru Kids

~950 inbound contacts a week, across email and WhatsApp, family-side and nanny-side, handled today by a CX team of ~7 (plus 3 in payroll/invoicing)
Complex queries need multi-system context, Koru platform, Xero, Airtable, plus the nanny's leave log; Front's AI can only see prior emails
Two-sided marketplace, families vs nannies need entirely different context, tools and tone, same agent

Three motions to automate end-to-end:

Disputed shift / PIQ (family side), reconcile the Xero invoice against logged shifts and leave; raise the PIQ in Airtable; draft replies to both sides for human review
Proactive outbound, scale the post-breakup family concierge your team already runs at 30% conversion, plus engage Koru-experienced nannies after a placement ends, via voice or WhatsApp
Simple inbound questions (FAQ), ground answers in your 60+ help-centre articles so DBS, contracted hours, notice periods and advance payments never reach a human

How we can solve your problems

Four use cases built as a working sandbox, synthetic data, real workflows, real agent.

Inbound

01

Disputed shift / PIQ

Family disputes a charge. Agent reconciles Xero invoice, Koru shift schedule, and the nanny's leave log. If the nanny missed logging leave, the agent raises a PIQ in Airtable and drafts the two emails your team writes today, one to the family, one to the nanny.

Your most complex query type. Multi-system reasoning Front's AI cannot do.

02

Simple inbound questions (FAQ)

DBS timing, contracted hours, notice periods, advance payments. The agent grounds every answer in 60+ articles scraped live from intercom.help/korukids, no manual KB to maintain.

Built and shipped. Eliminates the high-volume, low-stakes contacts your team shouldn't be touching.

Outbound

01

Family rematch concierge

Today your team runs a post-breakup concierge motion by phone at ~30% rematch conversion. Lorikeet scales the same motion via voice or WhatsApp, qualifies intent, books the rematch, hands the warm ones back to your team.

Your existing growth experiment, scaled without adding headcount.

02

Nanny re-engagement

When a placement ends, the agent texts the Koru-experienced nanny to invite them to be relisted, captures availability (full-time / after-school / both), and updates the Koru platform, with a record in Airtable.

The motion you said you do "absolutely nothing" with today. Live demo on the next slide.

Try a ticket against the live agent.

Mock Family Hub UI on the right, with the real Lorikeet chat widget embedded. Every answer below is grounded in your live help-centre — 60+ articles scraped from intercom.help/korukids.

Try: DBS check timing

How long does a DBS check take and what documents do I need to show?

Try: contracted hours change

Can we change our nanny's contracted hours from 5 days to 3? How does that work and is there a notice period?

Try: nanny pregnancy

Our nanny has just told us she's pregnant. What do we need to do, and is she entitled to maternity pay?

Try: ending the arrangement

What's the notice period if we want to end our arrangement with our nanny, and what happens with the final invoice?

All answers cite live help-centre articles. The PIQ flow (disputed shifts) and outbound nanny re-engagement run on the same sandbox — happy to show those next.

Appendix

Lorikeet overview, the team, investors, customer voice, architecture, POC plan, security, and pricing.

Lorikeet is building the leading AI concierge for complex businesses

Lorikeet exists to give every company the ability to deliver a universal concierge to their customers. Customers should demand better support, Lorikeet's platform solves issues by understanding customer needs and taking actions for them, 24/7, via the channel of their choice.

Re: Charged for Tuesday but Sarah wasn't here.

Lorikeet

To: Amy Walker

Hi Amy, thanks for flagging. I've checked Sarah's shift schedule and leave log against your invoice, you're right, the £180 charge for Tue 5 May is incorrect.

I've raised PIQ-5060 with our Payroll team to correct it. You don't need to pay that £180 in the meantime.

Email

Lorikeet

0:08

"Hi Maria, it's Koru Kids. Your placement with the Walker family wrapped up a few weeks ago, quick check, are you open to being relisted for new families?"

Voice

How long does my DBS check take?

M

Hi Maria! Enhanced DBS checks typically take ~10 days from the date Verifile receives your documents.

Can I work before it's back?

M

No, placements only start once your check has been received and cleared.

Chat

Our people have decades of experience with AI and building great products

CEO and Co-founder

Steve led product teams at Stripe and Watershed, building tooling to enable complex processes like carbon accounting and financial reporting at scale.

CTO and Co-founder

Jamie was a research tech lead at Google Brain, leading research on factual grounding in large language models. Third named author on Google's breakthrough 2022 LaMDA paper, and fourth named author on the 2020 predecessor Meena paper.

Our team comes from leading companies applying AI and driving large-scale corporate transformation

Lorikeet is backed by top global investors

We've raised over $50M from investors who backed Nubank, Klarna, Canva, Airwallex, Supabase, Midas, Clearscore and more.

Announcing our

$35M

Series A

Led by QED Investors

Blackbird

Square Peg

Capital49

Skip Capital

Airtree

Operator Partners

www.lorikeetcx.ai

Lorikeet consistently outperforms other vendors in the market

"We tested AI solutions head-to-head and Lorikeet was a winner in every metric."

Lindsay Boland

Product Manager, Flex

"We ran POCs with Fin AI, Decagon... Lorikeet was a clear winner."

Jiaona Zhang

Former CPO, Linktree

"Considered Sierra and other well-known players... [Lorikeet] could handle nuance, de-escalate emotional moments, and follow SOPs without breaking a sweat."

Jessica Mishlove

Head of Customer Relations, Arbor

Read case studies

Journey of a Support Ticket

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

1

Customer sends message

Via chat widget, email, WhatsApp, voice, or ticketing system

2

Channel Intake

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

3

Brand + Config Loaded

Koru voice · Tone & empathy rules · Family vs nanny persona

4

Inbound Guardrail

Evaluate message → pass to triage, or escalate immediately

5

Intent Classification

AI matches customer intent against all available workflows

Matched Workflow

Run response SOP

FAQ Fallback

Search knowledge base

No Match

Escalate to human

6

Workflow Executes

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

Tools

Koru platform · Xero · Airtable

Knowledge

Help-centre articles · SOPs

Actions

PIQs · Tags · Notes · Slack

7

Outbound Guardrail

Check AI response against policies → pass or escalate

8

Reply Sent to Customer

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

If customer 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 Koru Kids support requests
We'll mock data to simulate production situations, 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 customers as well, depending on your approval processes, comfortable timing to be production-ready before your Front churn in November

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, SOP, ticket corpus
Fast feedback on tickets

Week 1–2

We will:

Build, test and iterate on 1–2 agreed use cases
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 terms of contract including cost

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:

Agree on commercial terms and sign

Lorikeet is built securely for enterprise

Compliance-grade architecture, day one. Designed for fintechs, healthtechs, and other regulated industries handling sensitive household data.

SOC 2 Type II
& ISO 27001

Both certifications independently audited. Your data is always protected and is never used for training.

GCP + VPC

Built on Google Cloud, running in a virtual private cloud. Audit-grade logging end-to-end.

Ex-Stripe security

Founding engineering team includes an ex-Stripe Staff Security Engineer. Security reviewed by industry leaders.

Handles sensitive PII at scale

Already deployed with FCA-regulated subscribers and consumer marketplaces handling family addresses, DBS records, payroll data, and children's information.

For Koru Kids' data posture: nanny DBS records, family addresses, children's info, and Xero payroll data all need strict handling. We're happy to walk your security and legal team through our controls during the pilot, including data residency, access controls, and incident response.

View trust center →

You only pay for resolutions

Aligned incentives by design, we both win when 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, voice, and SMS.

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

At Koru Kids' volume: ~950 contacts/week (~4,000/month) puts you in our mid-market tier. Exact per-resolution price depends on the workflows we scope together during the pilot, baseline targeting the ~$48k/year range we discussed, flexible up or down based on automated volume.

Robbie Tilleard

robbie@lorikeetcx.ai