Industry · Insurance loss adjusting · Australia
Turn 10-15 hours of report generation
into 2-3 hours.
Your house style. Your reasoning depth. Your audit trail. Built on one of your real claims by an Adaptation AI consultant.
Discovery call is free, 30 min, Microsoft Teams. The 48-hour paid assessment is the next step if there's a fit.
What we hear from twelve-person AU loss-adjusting firms
The maths is consistent across every firm we've spoken to. These four points are the pattern.
Report generation eats the week
A complex third-party liability report takes 10-15 hours across drafting, cross-referencing invoices, photos, policy wording, and file notes. Twelve-person firms push 40-60 claims a month. The maths breaks.
House style is in one person's head
Your signed-off reports have a consistent voice, structure, and depth of analysis. That voice isn't written down — it's the 20-year AICLA fellow at the top of the firm. When they retire, so does the quality floor.
Off-the-shelf AI doesn't understand loss adjusting
Generic AI writes generic reports. Insurance claims demand specific coverage analysis, subrogation framing, quantum tables, and defensible liability reasoning. Tools built for customer-service agents don't translate.
Compliance risk is real
Regulated decisions affecting policyholders are in scope for Privacy Act 2026 ADM disclosures commencing 10 December 2026. Any AI deployment in claims workflows needs documented DPIA + audit trail before production.
How the 48-hour assessment runs
Not a strategy deck. Not a roadmap document. A runnable Claude-native workflow on one of your real claims, with numbers attached.
- 01
Pick one real claim
From the last six months — ideally one where the signed-off report is already available as a reference comparable.
- 02
45-minute kickoff call
You hand over raw inputs (emails, invoices, photos, policy wording, file notes) + the signed comparable. NDA if needed, sent within 4 business hours of request.
- 03
48-hour build
We build the Claude-native workflow: your house-style template, the claim-specific reasoning chain, the subrogation analysis, the quantum section. Delivered end-to-end.
- 04
Blind accuracy score + ROI
We score the draft output against your signed comparable. You get the percentage, the distribution of differences, and the hours-saved calculation on your annual claim volume.
Why an Australian Claude-native boutique
Australia's first Claude-exclusive boutique
We don't spread across vendors. Every engagement runs on Anthropic's Claude — the frontier AI platform best at complex tool use and long-form reasoning. That focus is why our outputs are house-style-faithful instead of generic.
AU data sovereignty
Claude via AWS Bedrock in Sydney (ap-southeast-2) or Google Cloud Vertex in Sydney. Your claim files stay in Australia. IRAP-pattern architecture available for government-adjacent work.
Privacy Act 2026 ready
Audit trails + DPIA templates + ADM disclosure language built into every production engagement. You're ready for the 10 December deadline by design, not by scramble.
The 4D Framework
We use Anthropic's own pedagogy — Delegation, Description, Discernment, Diligence — across every claim-workflow. Your team learns the framework as we build together, so capability compounds after we leave.
The ROI math, for a 12-person firm
At 40-60 claims a month, saving 8-10 hours per report recovers 320-600 adjuster-hours per month. At an adjuster's fully-loaded rate of A$120-180/hour, that's A$38,400 - 108,000 per month of recovered capacity — either reinvested as additional claim volume or as margin.
Your specific maths depends on claim mix, adjuster rate card, and reinvestment vs margin trade-off — your 48-hour assessment returns this number for your firm's real data.
Questions
Does this replace our adjusters?
No. The workflow produces a first-draft report in your house style, typically 85-95% accurate on day one. An adjuster still reviews, edits, and signs. What it replaces is the 8-10 hours of drafting, cross-referencing, and formatting — not the expert judgement that should stay human.
What about confidentiality? We handle sensitive claim data.
Every engagement runs under NDA. Data flows to Claude via AWS Sydney or Google Vertex Sydney — not to public ChatGPT or consumer AI. We don't train on your data. Audit trails are logged + retained per your records-management policy.
What's your track record in loss adjusting specifically?
Loss adjusting is a first-mover opportunity for us — zero AU-specific AI consultancies target this niche. We've done exploratory work with one AU loss-adjusting firm (under NDA) and we're Anthropic Claude Partner Network allow-listed. Our broader track record is 40-agent internal fleet running our own business — we eat our own dog food.
What if the 48-hour workflow doesn't work for our process?
You still get the blind accuracy score, the business-case calculation, and an honest read on why. That's useful even if we don't proceed — you know whether it's a Description problem (fixable with more examples), a Discernment problem (harder), or a fundamental process mismatch.
How is the A$1,200 credited if we go further?
In full against any follow-on engagement within 60 days. The price is commitment mechanism, not revenue centre. Most firms that proceed upgrade to a productised workflow build (A$8,500-18,000 fixed) or a dedicated augmentation pod (A$6,500-12,000/mo).
Can you train our adjusters on the tool, not just deliver it?
Yes. Augmentation Pod engagements include team enablement — how to prompt, how to discern outputs, how to maintain the template. Our approach: capability stays with your team after we leave.
Ready to see the math on one of your real claims?
Start with a 30-minute discovery call. We scope the workflow, you decide whether the 48-hour paid assessment is the right next step. No commitment beyond the call.
Or email hello@adaptation.ai.