× koru kids

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

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

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)
Two-sided marketplace — the agent has to understand whether it's talking to a family or a nanny, and pull entirely different context for each
Complex queries need multi-system context — Koru platform, Xero, Airtable, plus the nanny's leave log; Front's AI can only see prior emails
Churning Front in November 2026 — decision and budget sit with Alan; mandate is growth via headcount redeployment, not headcount reduction

Two motions to automate end-to-end:

Disputed shift / PIQ — reconcile the family's Xero invoice against the nanny's logged shifts and leave; raise the PIQ in Airtable; draft replies to both sides for human review
Proactive outbound — text nannies whose placements have ended to invite them back to be relisted; capture availability; update Koru platform; log Airtable

Where Lorikeet can add value

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

01

Disputed shift / PIQ

Family writes in disputing a charge. Agent calls Koru platform + Xero in parallel, reconciles the shift schedule against leave log, raises a PIQ in Airtable, drafts replies for family and nanny.

The flagship use case — the multi-system reasoning Front cannot do.

02

Outbound nanny re-engagement

When a placement ends, the agent texts the 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 growth motion you're already running with humans, now scalable.

03

FAQ deflection (KB-grounded)

DBS timing, contracted-hours changes, notice periods, advance payments — the agent grounds every answer in your existing help-centre content. 60+ articles scraped from intercom.help/korukids.

Eliminate the contacts your team shouldn't be touching by hand.

04

Two-sided routing

Identical-looking message from a family vs. a nanny gets different context, different tools, different tone. Same agent, same workflows.

A clean answer to the marketplace complexity you flagged on our call.

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

Try a ticket against the live agent.

Mock Family Hub UI on the right, with the real Lorikeet chat widget embedded. Same agent that would handle a ticket via your ticketing system in production.

Try: disputed shift · the flagship

Hi — I've been charged £180 for Tuesday 5th May for Sarah but she wasn't with us that day. Can you sort this out please?

Try: DBS check FAQ

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

Try: contracted hours change

We need to change the contracted hours with our nanny — dropping from 5 days to 3. What do we do?

Try: family not responding (nanny side)

I've been waiting for a family to come back to me for over a week. They were really keen at first. What should I do?

Family / nanny IDs and dates are demo-only — in production they're auto-attached to the ticket from the customer's account and your ticketing system.

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