GemLife · What we heard

What you're exploring

Two use cases on the table

GemLife is looking at AI voice agents for two specific moments where the GemHub team's time is most stretched today. One outbound (confirming event registrations across 44 sales events a year), one inbound (bridging overnight calls that today go to voicemail until 7:30am).

Outbound · Phase 1

Event registration confirmations

The events team currently spends full days manually confirming registrations across 44 events a year, 50 to 300 registrants each (averaging around 150). Inconsistency at scale and headcount pressure are both factors. The team would need to at least double next year to keep pace with growth.

The ask is narrow. Confirm attendance, capture dietary needs, capture any guests, hand the rest to the team.

Inbound · Phase 1

After-hours GemHub support

Calls after 6pm go to voicemail today. The team picks them up at 7:30am the next morning. The warm moment with a prospect or homeowner who finally got around to ringing is lost overnight.

The ask is to bridge the overnight gap with a real conversation and a structured handoff for the morning, not to replace the team.

What matters most to you

Four things GemLife told us were non-negotiable

The technology is largely there. What you're buying is the experience of teams who've done this at scale, and the discipline to roll it out without offending the cohort you've spent years building trust with.

Authenticity for the over-50 cohort You're not interested in launching something that feels like the Telstra era of automated voice. The cohort is changing (apps and tablets are in grandparents' hands now) but you want to push the envelope without offending. AI disclosed upfront, clear paths to a human, narrow scope to start.
Partnership not just technology GemLife has been clear: you want to benefit from a partner who's run this before, rather than work through it alone. You've seen the tech. What you're buying is the team who can run it well.
Speed, a usable business UI, and consumption pricing Three filters GemLife laid out. Build vs buy is settled. The platform needs to be something the events team and GemHub can actually work with day-to-day, not a black box.
Salesforce as the source of truth Your registrants live in Salesforce campaigns. The AI agent needs to plug in cleanly and write back what it captures so the sales team picks up where the call left off.

Why Lorikeet fits

Built for exactly this kind of work

The use cases are in our wheelhouse, with the posture you want. Both are conversations with people already in your funnel, where the information being exchanged is narrow and the cost of getting it wrong is graceful (defer to a human callback) not catastrophic. Our default is to disclose AI upfront, hand off cleanly when the conversation outgrows the scope, and log everything for a human to pick up. That's the exact posture you said you wanted, and we do harder than this every day in healthcare and financial services where the regulatory bar is higher.
Built-in visibility for the GemHub team. Every call comes back as a structured ticket: who called, what they asked, what was captured, what the next action is. You also get the data points about what your prospects are asking, which you can feed back into FAQs, sales scripts, or product thinking.
Coach for QA across the whole operation. Beyond the customer-facing agents, our Coach product gives your QA team visibility into every interaction (AI and human). It flags trends, surfaces gaps, and helps you tune the experience as you scale.
Salesforce is one of our more familiar integrations. We've rolled this pattern out before. Campaign read, registrant lookup, write-back of attendance, dietary, guest changes, callback requests. We're also building one-click deployment for Salesforce specifically, which lands later this year.

A potential rollout approach

Two weeks to a credible pilot

Two weeks of focused iteration, with the friendly-homeowner pilot GemLife suggested as the real test.

Today

Demo and feedback

Both agents live. Three personas on each side. Take them for a spin, feedback on voice, tone, accent, persona handling. Tell us what's wrong.

Week 1

Tighten and load

Knowledge base loaded with the real GemLife specifics (resort details, parking, sales-team handoff process). Workflow tightened based on the room's feedback. Second-round demo.

Week 2

Friendly-homeowner pilot

Live calls with 20 to 25 friendlies GemLife can introduce us to. Real listening. Decision point at the end of the second week.

Commercials at a glance

Entry tier, around $20K USD a year

Based on the volumes here (44 events × ~150 registrants on average, plus 120 to 150 inbound calls a week), this fits the entry consumption tier covering around 1,200 resolutions a month. One resolved call equals one resolution. Voice agents (inbound and outbound), Salesforce integration, and Coach for QA across every interaction are all included.

Per-resolution pricing drops as you scale into more use cases. Happy to walk through the bands so it's straightforward to compare against the alternative on the same scale.

~$20K USD

per year · entry tier · ~1,200 resolutions/month · voice + Coach + Salesforce included

What we heard, and why we think Lorikeet fits