Lorikeet × Odin

Lorikeet Overview for Odin

The universal AI concierge that gets it done, built for regulated fintechs where every answer needs real account context and the right guardrails.

Prepared for Mary Lin & Stephen · 25 July 2026
Alex Holder, Lorikeet

Lorikeet 2, The Opportunity

The Opportunity

Absorb the US launch and rising volume without growing the team. Give investors and syndicate leads instant, accurate answers on payments and KYC — through the channels they already use, and without sounding like the bot they switched off.

Answers grounded in the real account

Every reply is grounded in the customer's actual wallets, transactions and KYC status. No more "it's pending" — the agent explains why, and what happens next. And it reads human, not like the automated email your customers turned off.

Always-on, on their channel

24/7 coverage across email, chat and WhatsApp — the channels your investors actually use. No overnight queue building up, no time-sensitive deal query sitting until Monday as US volume ramps.

Scale without headcount

The 50–100 tickets a day your lean team handles — payment status, KYC chases, onboarding questions — resolved end-to-end. Specialists keep their time for the genuinely hard custodian and legal cases.

Fintech-native guardrails

Built for regulated finance. Guardrails stop the agent giving investment or tax advice and keep it inside KYC and tipping-off rules — configured in the platform, not a rulebook you hand-write and maintain. This is why you don't have to teach it your compliance line by line.

Lorikeet 3, State of play

State of Play at Odin

  • ~6,000–7,000 tickets a quarter (50–100 a day), mostly email plus manual WhatsApp, handled by a lean team of under 10 who also cover other parts of the business
  • Complex queries need real account context, wallets, transactions and KYC status; today's stack (Zendesk + Intercom Fin) only reads help articles and prior messages, and isn't connected to your database or bank feeds
  • Regulated, two-audience, investors and syndicate leads need different context and tone, and every reply has to respect KYC and "no advice" rules

Three motions to automate end-to-end:

  • Where's my payment (investor side), diagnose via wallet, transaction and Antler/RBS lookups, already landed, wrong-currency wallet, or SWIFT in flight; open a SWIFT trace with the banking partner past 4 days; reassure with specifics, never just "pending"
  • KYC & onboarding, verify investors and business entities (including 25%+ beneficial owners) by asking for exactly what's outstanding, over WhatsApp or email, so blocked investments get unblocked without a human
  • Simple inbound questions (FAQ), ground answers in your help centre so accreditation, fees, certificates and payment-timing questions never reach a person
Lorikeet 4, Use cases for the demo

How we can solve your problems

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

Inbound
01
Where's my payment?

An investor asks where their money is. The agent checks their wallets and recent transactions, works out the root cause — wrong-currency wallet, SWIFT still in flight, or a missing reference — and if it's overdue, opens a SWIFT GPI trace with your banking partner and relays the update. Not "it's pending" — the actual reason and the next step.

Your highest-volume, highest-anxiety query. Real multi-system reasoning Intercom Fin can't do.
02
KYC & onboarding

Verifies investors and business entities — proof of address, and for companies the 25%+ beneficial owners — by asking for exactly what's outstanding. Grounded in your help centre and KYC policy, with no-advice and tipping-off guardrails built in.

Unblocks stuck investments without a human, and without sounding like a bot.
Outbound
03
Outbound KYC chase

When an investment is on hold for missing verification, the agent proactively reaches the investor on WhatsApp or SMS, collects the outstanding details in a short back-and-forth, and lifts the hold — turning a silent, half-finished onboarding into a completed investment.

Stops the leak of stalled onboardings. Live demo on the next slide.
04
Syndicate-lead investor status

A syndicate lead asks "where are my 20 investors in the journey?" The agent packages each investor's KYC and payment status — including details the lead can't see themselves — into one clear update, instead of your team assembling it by hand.

The recurring back-office ask that quietly eats your team's week.
Lorikeet 5, Try it live

Try a ticket against the live agent.

A working Odin sandbox — real agent, real workflows. Every answer is grounded in your live help centre — 190+ articles ingested straight from your Zendesk.

Try: accreditation
Do I need to be an accredited investor to invest on Odin, and what counts?
Try: payment timing
How long does it take for my payment to arrive, and how will I know when it's landed?
Try: KYC / onboarding
What do I need to complete KYC, and how long is my verification valid for?
Try: certificate
Where do I find my proof of investment certificate?

The outbound KYC chase (WhatsApp/SMS) runs on the same sandbox — happy to fire one to a phone live.

Appendix

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

Lorikeet 7, About 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.

Email
Lorikeet
0:08
"Hi Priya, it's Odin. Your investment in the SpaceTech deal is on hold pending a couple of quick verification checks — do you have two minutes to confirm a few details?"
Voice
Do I need to be an accredited investor to invest?
P
Yes — all investors on Odin must meet the UK accredited-investor definition, as a Sophisticated Investor or High Net Worth Individual.
And for a US deal?
P
For US deals you may also need to meet the SEC accredited-investor test — I can walk you through which one applies.
Chat
Lorikeet 8, The team

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

Steve Hind, CEO & Co-founder

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.

Jamie Hall, CTO & Co-founder

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

Stripe
Google
Atlassian
Canva
Salesforce
Dropbox
BCG
Bain & Company
Lorikeet 9, Backed by

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 10, Customer voice

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
Lindsay Boland
"We ran POCs with Fin AI, Decagon... Lorikeet was a clear winner."
Jiaona Zhang
Former CPO, Linktree
Jiaona Zhang
"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
Jessica Mishlove
Airwallex
Eucalyptus
Tap Tap Send
Airalo
Flex
Carmoola
Lorikeet 11, Architecture

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
Odin voice · No-advice & KYC guardrails · Investor vs syndicate-lead 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
Odin platform · Antler / RBS · Zendesk
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

Lorikeet 12, Proof of concept

Proof of concept

Train and test AI
Integration scoping
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 13, Security

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 fintechs handling investor identities, KYC documents, bank and transaction data, and money movement.

For Odin's data posture: investor KYC records, beneficial-owner details, bank and transaction 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 →
Lorikeet 14, Pricing

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 Odin's volume: ~50–100 tickets a day (~2,000/month) puts you in our mid-market tier. Exact per-resolution price is scoped together during the pilot, based on the workflows we automate and your forecast volume as the US launch ramps.
Lorikeet

Alex Holder

alex.holder@lorikeetcx.ai

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