Case Studies

Real AU engagements. Anonymised by default.

Most clients we work with run revenue-sensitive systems and prefer their results stay off the front page. The case studies below are anonymised summaries of in-flight or recently delivered builds — reference calls with named operators are available after Discovery.

HealthcareAnonymised — reference available after Discovery

AU Allied-Health Practice — 12 Clinicians

The Problem

A multi-site allied-health practice was losing roughly a quarter of new-patient enquiries to slow response times and admin overload. Front desk staff were juggling Cliniko intake, phone callbacks, and rebooking lapsed patients — with no clear visibility into which channels were actually converting.

Architecture

  • Cliniko ↔ HubSpot two-way sync for unified patient + lead records
  • AI intake agent triages enquiries from web, phone, and SMS within 60 seconds
  • Automated rebooking sequences for lapsed and at-risk patient cohorts
  • Privacy Act-aligned data handling with on-shore storage and audit logging
  • Weekly clinician dashboard surfacing no-shows, gaps, and revenue per chair

Outcomes

62%
Faster intake response
3.1×
Rebooking rate
9 hrs
Admin returned weekly

Anonymised AU client — reference call available after Discovery. Metrics measured against the 90-day baseline captured during the Discovery Audit.

Real EstateAnonymised — reference available after Discovery

Sydney Off-the-Plan Developer — $80M Raise

The Problem

A Sydney developer launching a $80M off-the-plan campaign was leaking high-intent buyers between portal enquiries, channel partner referrals, and the in-house sales team. Lead response routinely stretched past 4 hours, and the contract pipeline lacked deal-stage visibility for the GM.

Architecture

  • Unified lead capture from REA, Domain, channel partners, and the project site
  • Instant AI qualification + agent-matching engine with SMS handoff under 90s
  • HubSpot pipeline with deal-stage automation tied to contract milestones
  • WhatsApp + email nurture sequences segmented by buyer profile (OO, investor, SMSF)
  • Weekly GM dashboard: cost-per-qualified-lead, agent conversion, contract velocity

Outcomes

< 2 min
Lead-to-contact time
2.4×
Qualified buyer rate
18%
Cost-per-contract drop

Anonymised AU client — reference call available after Discovery. Raise figures are project-target, not realised settlements.

Financial ServicesAnonymised — reference available after Discovery

AU Mortgage Broking Group — ~$600M Annual Settlements

The Problem

A national mortgage broking group settling roughly $600M per year on Connective Mercury was capped on growth by broker admin time. Brokers were spending more than half their week chasing supporting documents, rekeying client info into Mercury, and managing compliance evidence rather than writing loans.

Architecture

  • Mercury CRM ↔ document portal sync for supporting-doc collection and tagging
  • AI fact-find assistant generating preliminary serviceability scenarios
  • Compliance evidence pack auto-assembled per file (NCCP, Best Interests Duty)
  • Lender-policy retrieval agent surfacing live policy + servicing changes
  • Broker dashboard tracking pipeline value, stuck files, and SLA breaches

Outcomes

11 hrs
Saved per broker, weekly
+34%
Files submitted per broker
100%
Compliance evidence coverage

Anonymised AU client — reference call available after Discovery. No credit advice is automated; AI assists broker workflow only.

EducationAnonymised — reference available after Discovery

VIC Private RTO — ~1,500 CRICOS Students

The Problem

A Victorian private RTO with CRICOS registration and roughly 1,500 students was struggling to keep enrolment, agent communication, and student attendance compliance running through aXcelerate without a small army of admin staff. Agent-sourced applications were taking 9–14 days from enquiry to offer.

Architecture

  • aXcelerate ↔ agent portal sync for application status and document checks
  • AI document review for CoEs, GTE statements, and English-evidence packs
  • Multi-language enquiry triage (Mandarin, Hindi, Vietnamese, Spanish, English)
  • Attendance + course-progress monitoring with auto-flagged at-risk students
  • PRISMS-ready exception reporting and trainer notifications

Outcomes

5 days
Enquiry-to-offer (was 9–14)
47%
Faster doc review
2.2×
Agent throughput per admin

Anonymised AU client — reference call available after Discovery. Compliance decisions remain with the RTO; AI surfaces evidence, humans approve.

eCommerceAnonymised — reference available after Discovery

Shopify Plus DTC Brand — $12M GMV

The Problem

A Shopify Plus DTC brand running $12M GMV on Klaviyo + Gorgias was hitting a CAC ceiling. Returning customer rate was flat, ticket volume was rising with promo-driven traffic, and the merchandising team had no clean way to identify cohorts worth re-engaging.

Architecture

  • Shopify + Klaviyo + Gorgias unified into a single customer profile layer
  • AI ticket triage routing 70%+ of contact-us volume without human touch
  • Predictive next-best-product model feeding Klaviyo flows by cohort
  • Replenishment + winback automations tuned to actual purchase cadence
  • Weekly merchandising digest: cohort LTV, repeat rate, attach-rate moves

Outcomes

73%
Tickets auto-resolved
+22%
Repeat purchase rate
1.6×
Email-driven revenue

Anonymised AU client — reference call available after Discovery. GMV figure is the brand's most recent disclosed trailing-12-month run rate.

Your Engagement

Want one of these for your business?

A Discovery Audit maps your operational friction, quantifies the revenue impact, and outlines a build plan tailored to your stack. We'll also connect you with a named reference in your vertical.