Governed AI agents for claims, fraud, and underwriting — on your insurance core (Duck Creek / Guidewire) and a governed Databricks Lakehouse. Sovereign by design, human-in-the-loop, and run by your AI Center of Excellence.
Most AI in insurance is sold on what the software does. These are the three things that actually change — for your claims and underwriting teams, for the ratios the business is already run on, and for the risks you can write.
Can your claims handlers and underwriters work with triage, fraud-scoring and underwriting agents while keeping the authority to overturn a recommendation — and the explanation to justify that reversal to a customer or a regulator? Claims touched by AI is not a measure of decision quality.
The numbers the business is already run on: loss ratio, expense ratio and the combined ratio they roll into, straight-through-processing rate, claims cycle time, and touches per claim. A faster claim that worsens leakage has moved a Level 1 number, not a Level 2 one.
Explainable, governed decisioning lets you underwrite risks you previously declined or priced defensively — finer segmentation, faster quote-to-bind, and proactive service across a book your team could not previously touch. That's a wider book, not a cheaper back office.
Levels 1 and 2 tell you the platform is working. Level 3 is the reason it was worth the investment.
Claims, fraud, underwriting and service delivered as governed agents on your insurance core — the work insurance teams actually do, automated with a human in the loop
Agent-assisted claims adjudication that triages, validates, and routes claims on your insurance core — with human approval at the gates, not a black box.
Multi-layer fraud detection on a governed Databricks Lakehouse — ML analysis and network detection that flags for investigation, with every decision explainable.
Faster, more consistent underwriting decisions with ML-powered risk assessment and automated policy generation — guardrailed and reviewable.
AI-assisted pricing with telematics and alternative data, modelled on a governed Lakehouse for defensible, auditable decisions.
Predictive customer analytics with proactive, governed engagement — churn signals and personalised journeys with a human owning the outreach.
Automated regulatory reporting and audit trails aligned to Australian prudential expectations — APRA-aware by design.
A governed agentic layer beside your core, never inside it: insurance core (Duck Creek / Guidewire) → governed Databricks Lakehouse → governed agents → sovereign, AU-resident data
We integrate with your insurance core (Duck Creek / Guidewire) via stable, released APIs — policy, claims and billing stay where they are, never modified.
A governed data backbone for insurance agents — sovereign, AU-resident, with lineage and access controls end to end on a Databricks Lakehouse.
Claims, fraud and underwriting agents run with human-in-the-loop checkpoints and full audit trails — explainable, reviewable, never a black box.
Data and agents stay in Australia, aligned to prudential expectations — built for APRA-regulated insurers and risk-sensitive buyers.
The security, sovereignty, and governance posture an insurer's risk and prudential team needs to see
Status is indicative and confirmed per engagement. We are Databricks-based on your insurance core (Duck Creek / Guidewire), vendor-neutral, and not an SAP partner. Certification letters available under NDA.
The outcomes insurance teams target — each tied to a real workflow. Figures are targets confirmed against your baseline, not guarantees.
Agentic triage and adjudication take the manual grind off claims teams.
Better detection and faster investigation reduce leakage and risk.
Sharper pricing and tighter operations target a healthier loss ratio.
Faster service and proactive engagement support retention.
Stronger risk assessment and governed reporting reduce exposure.
A governed, phased onboarding on your insurance core — sovereignty and prudential alignment first, never a risky big-bang
Phase 1: stand up the security, sovereignty, and governance foundation — Privacy Act 1988 / APPs and APRA (CPS 230 / CPS 234) alignment from day one.
Phase 2: build the governed Databricks Lakehouse, data pipelines, and core analytics models — sovereign and AU-resident.
Phase 3: configure claims, fraud, pricing and customer agents with approval flows and human-in-the-loop checkpoints.
Phase 4: real-time decision engines, automated workflows, and regulatory compliance reporting.
Phase 5: comprehensive testing, staff training, and change management for a seamless go-live with hypercare.
Ongoing: continuous optimisation, model retraining, new agent use-cases, and managed support.
Built first for the Australian insurers where governance and sovereignty matter most
Insurers running a modern insurance core who want governed agentic AI integrated via stable APIs — never a risky modification of the core.
Claims and SIU leaders who want agentic triage, adjudication, and explainable fraud detection — with a human in the loop, not a black box.
Regulated insurers that need Australian data residency, Privacy Act / APP alignment, APRA CPS 230 / 234 governance, and audit trails on every agent.
Aligned to Australia's Whole-of-Government Cloud posture and Hosting Certification Framework for sovereign workloads.
This platform runs on five CoE capabilities — strategy, people, agents, data, and governance. We design, deploy, and govern a clean-core-safe agentic layer that keeps your data sovereign in Australia and every agent auditable and cost-controlled.
Book a walkthrough with an insurance specialist — we'll map your claims, fraud and underwriting workflows and show where governed agents take the load on your Duck Creek / Guidewire core.