We analysed your hiring brief, competitive landscape, and ops model. Here's where AI cuts manual work by 60%+, starting day one.
Lumi has 7,000+ broker partners and 15,000+ businesses backed, but operations scale on manual effort. The same AI powering your credit models can transform workflows, CRM, and broker comms. Result: faster decisions, fewer doc-chasing rounds, analysts on high-value work.
Your JD for Operations Support Specialist tells us exactly where the pain is.
HubSpot or Salesforce with manual data entry, duplicate broker profiles, incomplete deal histories. Team corrects records instead of using them.
AI-powered CRM hygiene. Auto-populate from deal submissions, ABN lookups, ASIC data. Flag and merge duplicates in real time.
40% less manual data entryMulti-step credit approval relies on email handoffs and manual nudges. Brokers chase you for updates.
Automated triggers at each milestone. Status pushed to broker portal and inbox. Escalation alerts for overdue items.
2-3 days saved per dealRepetitive tasks eating analyst time. Acknowledgement emails, conditions letters, doc requests, status updates.
Template-driven AI generation triggered from CRM events. Analysts review and approve, not draft from scratch.
70% of comms automatedPipeline visibility from spreadsheets. Time-to-decision assembled manually. Data stale by delivery.
Real-time ops dashboard. Live pipeline health, conversion rates, anomaly detection.
Live data, not last week's exportAI team builds models but connecting to live workflows costs months. Gap between "works in testing" and "runs in production."
Bridge layer between AI outputs and operational systems. CRM, portal, doc engine, compliance monitoring wired together.
Value on day 30, not day 300New tools roll out, then quietly die. Teams revert to old habits without change management.
Staged rollout with embedded training, team champions, feedback loops, quick-win metrics surfaced weekly.
85%+ adoption in 60 daysThese came from analysing your market position, not your job listing.
Brokers submit the same deal to 3-4 lenders simultaneously. First to respond wins. AI-assisted pre-assessment: ABN, ASIC, bank statement flags pulled automatically. Indicative approval in under 15 minutes.
Every SMB loan needs 3-6 months of statements. Analysts manually review for revenue consistency, dishonours, ATO debts, gambling. OCR plus AI extracts patterns in seconds, flags anomalies, pre-categorizes before the analyst opens the file.
15,000+ businesses backed is a massive renewal base on manual outreach. Predictive model identifies when a business needs more capital. Repayment patterns, industry cycles, time since last loan combined into a readiness score.
Lumi's NPS of 88 and broker relationships are strong. But Prospa and OnDeck are investing heavily in AI ops now. When their assessment times drop and portals go frictionless, the comparison shifts.
I build AI operations systems for financial services. Background in legal, investment banking, and performance marketing. I understand deals, compliance, and what makes a lender's operations convert.
15 minutes. No slides, no pitch deck. Just the specific opportunities for Lumi and what building them involves.
Book a 15-Minute Walkthrough joe@lavitesse.com.au