Lorikeet
for MYOB
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for MYOB
for MYOB
A high-intent visitor lands on myob.com. Your intent stack (6sense, Demandbase, RB2B, Clearbit Reveal — whatever you run) resolves them to a real person and pushes the signal to Lorikeet. Within seconds, an AI agent calls them with a soft, signal-aware opener grounded in what they were actually looking at. Qualifies on the call. Books a human SDR for the hot ones. Writes back to HubSpot. Pick a profile below and the agent will ring your phone.
Pick one of three visitor profiles, enter your mobile, and the AI will ring you within seconds.
#sales on Slack + a HubSpot engagement record.Three conversations from three profiles. Pick a tab and walk the structure end to end — opener grounded in the signal, pain question first, one specific next step, then warm hand-off.
Acknowledges the actual page she was looking at. Soft. Gives her an out.
One question. Grounded in what most cafe owners with 3 staff are actually doing.
Not a generic demo. The specific next step for her profile, plus the live promo.
Six sessions on Practice. He's serious. The opener says we noticed.
Specific to a boutique firm scaling fast.
If interest is real, doesn't pitch — books a specialist call. Logs to Slack + HubSpot + internal note in one tool sequence.
Acumatica visitors are mid-market. Tone shifts — more peer-to-peer, less perky.
Not generic. The two things that actually hurt with a legacy ERP.
Uses an actual MYOB customer story. Books a solution architect, not a generic demo.
Three concrete outcomes, mapped to the MYOB GTM model. The agent qualifies on the call, hands off warmly when there's real intent, and feeds clean data back into HubSpot so SDRs spend their time on high-value conversations.
Today, you're only present in deals where someone raises a hand. With intent-signal-triggered outbound, you reach the 50%+ of accounts that show real interest but never fill the form. Same SDR team, broader funnel.
The agent runs structured qualification on the call — pain, fit, timing, decision-maker. SDRs only get the warm callbacks where there's real intent. The 90%+ SQL-conversion bar gets a lot easier when every meeting starts qualified.
Every call ends with a structured engagement record in HubSpot — persona, page they viewed, pain identified, resolution, callback timing. No more SDR admin. Marketing gets clean attribution. Reporting stops being a guessing game.
Four steps. Grounded in MYOB's actual product portfolio, real customer stories, and the way an SDR would qualify a real lead.
Walked myob.com — every product page across Business, Practice, and Acumatica, plus the comparison pages and the AI-for-accountants blog. The agent grounds every reply in the actual page the visitor was looking at.
One plain-English conversation flow with three embedded persona profiles. Pain question first, ONE next step, warm hand-off for hot leads. No generic demos. No deflection. Voice-tuned — 1-2 sentences per turn.
Mock signal-source webhook from your intent stack. Real Slack post to #sales. Mock HubSpot engagement write-back showing the exact payload — persona, page viewed, resolution, callback time. Production version drops the mocks.
Thirty conversation scenarios — happy path, busy, voicemail, pricing, competitor, skeptic, monosyllabic — re-run multiple times. The same suite runs every time the flow changes, so regressions get caught before any real prospect hears them.
How this lands in production. Same agent, plugged into your real intent stack and your real HubSpot.
Replace the mock webhook with your live intent stack — 6sense, Demandbase, RB2B, Clearbit Reveal, Common Room, or whatever you settle on. Lorikeet is signal-source-agnostic. No LinkedIn dependency.
Lorikeet calls qualified intent signals and writes engagement records back to HubSpot. No SDR routing yet. Marketing watches CSAT, qualification accuracy, and call-acceptance for two weeks.
Hot leads route directly into your SDR meeting calendar via HubSpot. SDRs only get warm-transferred conversations with full context. The 90%+ SQL-conversion bar is now measurable.
Same workflow, more profiles — branch into different MYOB Business segments, Practice partner motions, and Acumatica industry verticals. AU first, then NZ. Same simulation suite catches regressions across the lot.
Six things baked into how Lorikeet works — relevant to the SDR model you're evaluating.
Not tied to LinkedIn data. Lorikeet ingests signals from any provider — 6sense, Demandbase, RB2B, Clearbit, Common Room, Clay, or a direct webhook. The data quality question lives with your intent stack, not with us.
Every call writes a structured engagement back to HubSpot. SDRs work from the same CRM they already use. No new tool to learn, no duplicate records to reconcile.
Emma — Australian accent, calm and direct. Plain English. Tuned for MYOB tone of voice. AU spelling on the call summary. NZ accent available when you expand across the Tasman.
The same workflow that runs outbound voice can run inbound chat on myob.com. Same brand, same product knowledge, same hand-off rules. No double-builds.
Every tweak to the agent re-runs the conversation suite automatically. Regressions are caught before any real prospect hears them. No need to pause SDR coverage to fix a prompt.
Lorikeet runs in Australian, American, and European regions. AU prospect data stays in AU. Same setup serves NZ from AU, and the global expansion conversations from the right region.
Happy to walk through the integration architecture, the simulation suite, and how this would plug into your existing HubSpot + intent stack.
Talk to the team