Yes AI. AI consulting for Australian businesses.
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Settle claims faster, grow your book, and give policyholders the service they expect. We build AI for Australian insurance agencies, brokers and underwriters.
AI sorts each claim, reads the data off the paperwork and drafts the assessment
Early renewal contact and quick quotes win more leads and keep more clients
No more typing errors across policies, endorsements and claims documents
Help at any hour with claims lodgement, policy questions and certificate requests
AI takes in each claim, sorts it by type, and reads the data off lodgement forms, photos and supporting documents. The whole claim moves faster.
Policy admin that looks after itself. It handles new business, endorsements, mid-term changes and renewals with very little manual work.
An AI assistant that answers policyholder questions, gives claims updates and issues certificates of currency. Anything complex goes straight to the right specialist.
Underwriting support that reads the risk profile and compares it with past data. It spots aggregation exposure and suggests terms and pricing.
Models that study claims patterns and cross-check data sources. Suspect claims are flagged for review before any money goes out.
Renewal management that spots the policies at risk of lapsing. It builds a sharp quote, prompts you to make contact in good time and keeps more of your book.
Get a personalized demo and ROI assessment for your business in a 30-minute consultation.
Compliance checks are built in. They cover APRA prudential standards, ASIC conduct obligations and the General Insurance Code of Practice, and the reports write themselves.
Models trained on Australian risk data: natural disaster exposure, bushfire maps, flood zones and cyclone regions. That means local underwriting calls you can trust.
We connect to Sunrise Exchange, Insight, BrokerBay and Open GI. We also link to the major insurer portals used across the Australian market.
AI checks your policy wordings against Product Disclosure Statement (PDS) rules. It also checks duty of disclosure and unfair contract terms law.
Grew policy book by 30% while reducing admin staff overtime by 50% and achieving 94% renewal retention rate
Reduced average claims processing time by 60% and identified $2.1M in potentially fraudulent claims in the first year
Improved network-wide NPS by 28 points and reduced compliance breaches by 75%
Insurance is one of the most tightly regulated industries in Australia. We build to the strict rules set by APRA, ASIC and the industry codes. Automation should lift your compliance, not put it at risk.
AI takes over the slowest parts of claims handling. It reads the data off lodgement forms, photos, invoices and supporting documents. It sorts claims by how complex and how severe they are. It checks that the policy covers the loss. It then drafts a first assessment. Work that used to take hours of typing and reading is done in minutes. Simple claims can run from lodgement to a settlement recommendation with almost no human input. Complex claims go straight to a specialist assessor with everything already laid out.
Yes. We already run live links to the main broking platforms used in Australia: Sunrise Exchange, Insight, BrokerBay, Open GI and EBM. Data flows both ways for client records, policy details, claims and renewal pipelines. We also connect straight to the major insurer portals to compare quotes and bind policies. If you run a custom or older system, we build the link during setup.
The models look at each claim from several angles. They check the past pattern for that claimant and that policy. They look for odd timing or an odd number of claims. They compare what was reported against the evidence supplied. They cross-check outside data sources. They also match the claim against known fraud types in Australian insurance. Every claim gets a risk score. High risk claims are flagged for a specialist to review before any payment is approved. The system learns from each confirmed case, so it gets better over time.
We build to the APRA prudential standards. That includes CPS 234 (Information Security) and CPS 230 (Operational Resilience). We also follow ASIC guidance on technology in financial services. We document how the AI reaches each decision. A person signs off anything that matters. Every action leaves an audit trail, and the records suit a regulator's examination. Our compliance team watches for rule changes. We update the system before they bite.
The assistant handles the whole range of policyholder calls, and it sounds natural and professional. It can look up policy details, explain cover, give claims updates and issue certificates of currency. It also changes addresses, answers premium questions and starts a claim. Anything that needs human judgment, such as a cover dispute or a complaint, goes to the right specialist with the full story attached. Most agencies find the AI resolves 65-75% of enquiries without human intervention.
The 2020 General Insurance Code of Practice sets clear standards. They cover claims timeframes, how you talk to customers, how you handle complaints and how you support vulnerable customers. Our AI is built to support Code compliance. It tracks response times, sends every required notice at each stage and flags any matter nearing a deadline. It also picks up signs that a customer may be vulnerable, so they get the right care. The system generates Code compliance reports for your annual review and can support independent Code compliance audits.
Renewals are where AI pays off fastest in insurance. The system reads your whole book and picks the policies most likely to lapse. It weighs claim history, premium movements, competitor pricing and how engaged the client is. It then prompts contact at the best moment. It builds a competitive renewal quote by comparing across your insurer panels, and it writes to each client the way that client prefers. Agencies using our renewal automation typically improve retention rates by 8-15 percentage points, which translates directly to revenue growth.
AI reads each risk submission against past loss data, outside risk databases and mapping data such as bushfire zones, flood maps and cyclone regions. It also checks how much you already carry in that area. It then scores the risk, suggests terms and conditions, notes any subjectivities and flags risks that need a referral. For brokers, it speeds up quote comparison across insurer panels. The AI does not replace underwriter judgment on complex risks. It gives you the data, so decisions come faster and stay consistent.
Returns vary by the type of business. They are strong right across insurance. Brokerages typically see 25-35% reduction in administrative costs, 8-15% improvement in renewal retention, and 20-30% increase in new business processing capacity. Claims teams achieve 50-60% reduction in processing times and measurable fraud savings. Most insurance businesses reach positive ROI within 4-6 months. We model your own numbers during the consultation. The benchmarks come from Australian insurance operations.
Australian insurers carry catastrophe exposure that few others face. Bushfires, floods, hailstorms and cyclones send claim volumes up overnight. Our AI gives you surge capacity. It registers claims, sorts them by severity, keeps policyholders updated in real time and coordinates loss adjusters and repairers. During the 2024-25 natural disaster season, AI-enabled agencies processed initial claims registrations 4x faster than manual teams. The system scales at once, with none of the delay of hiring and training temporary staff.
Agree how policyholder, claims and agency records may be used before connecting any systems. Review each selected provider, the locations of storage and AI processing, retention, access permissions and any onward transfers. Australian-only handling must be confirmed for the complete data flow in the project agreement. Check the relevant provider security evidence and test the configured controls before live use. The agency should establish which regulatory obligations apply and obtain current provider reports for its assessment. Yes AI does not claim its own SOC 2 certification or blanket APRA compliance.
A typical rollout takes 11-17 weeks across three phases. Phase 1 (2-3 weeks) audits your portfolio, your workflows and your compliance requirements. Phase 2 (4-6 weeks) turns on the customer service AI, claims intake and the renewal pipeline. Phase 3 (5-8 weeks) adds fraud detection, underwriting intelligence and advanced analytics. The customer service assistant and basic claims intake can be live within 3-4 weeks, so you see value early while the rest is built in the background.
Yes. The AI covers the full range of general insurance products: home and contents, motor, commercial property, public liability, professional indemnity, workers compensation, construction and specialty lines. Each product line has its own data model, coverage logic and claims workflow built in. If your book is a mixed one, the AI handles enquiries and processing across every product type. You do not need a separate system for each line of business.
Claims triage, fraud detection and renewal automation, built around APRA and ASIC requirements. See how Australian brokers and underwriters grow their books with less admin overhead.