PADISO.ai: AI Agent Orchestration Platform - Launching May 2026

Financial Services · Sydney

AI that survives APRA, ASIC and AUSTRAC.

We help Australian banks, wealth managers, funds, lenders and fintechs ship AI that clears CPS 234, RG 271 and AML/CTF without quietly killing the project at security review. Surry Hills-based, working onsite across Sydney CBD, North Sydney and Parramatta.

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Regulatory frameworks we design against APRA CPS 234 ASIC RG 271 AUSTRAC AML/CTF Privacy Act Voluntary AI Safety Standard

Why FS teams call us

AI work where the auditor and the regulator both sit at the table.

Every AI bet in Australian financial services dies one of two deaths: legal kills it before it reaches production, or production kills it during the next AUSTRAC enforcement cycle. We work backwards from the regulator and forward from the operator at the same time.

Our complaints function still uses spreadsheets and a 4-week SLA. ASIC RG 271 is here, and we can't surface systemic issues fast enough.

Adviser conduct surveillance is one analyst with 3,000 calls a month. We know the breaches are happening — we can't find them.

AUSTRAC reporting takes 11 days. The window for a Suspicious Matter Report is 3.

Our customer service Claude/ChatGPT bot got blocked at design review because no one could answer 'where does the training data go?'

PE sponsor wants AI in the 100-day plan. APRA wants CPS 230 evidence. We need both, by quarter-end.

What we ship

Six AI workloads that pay back inside 90 days.

Customer Complaints Triage (RG 271)

Agentic triage of bank/insurer complaints with auto-categorisation, systemic-issue detection and SLA enforcement. Reference: our agentic complaints triage build.

Conduct Risk Monitoring

Call-recording and email surveillance for adviser networks. Anomaly detection, language-flag triggers, and risk scoring with full audit trail. Reference: conduct risk monitoring with Claude.

AUSTRAC AML/CTF Acceleration

Transaction monitoring and SMR pre-draft pipelines that take 11-day reporting cycles down to under 24 hours, with the human reviewer always in the loop.

Loan / Credit Underwriting AI

Decisioning models with explainability, bias audits and policy-versioning so credit decisions survive responsible-lending challenges and APRA scrutiny.

Embedded Analytics on D23.io / Superset

Replace per-seat Tableau / Power BI / Looker with embedded Apache Superset and ClickHouse, governed semantic layer, and AU-region data residency. 30-40% licensing reduction at 100+ users.

PE / Pre-IPO Tech Due Diligence

AI-readiness diligence addendum for FS portfolio companies. Sat across the table from BlackRock, Quadrant, PEP, CHAMP and similar sponsors.

What "good" looks like 90 days in.

11d → 24h

AUSTRAC SMR pre-draft cycle compression on agentic transaction monitoring pipelines.

100%

Adviser call coverage on conduct surveillance, vs the ~5% sample most networks audit today.

30-40%

BI licensing reduction when replacing Tableau / Power BI / Looker with embedded Superset.

Audit-ready

Evidence posture your APRA prudential review and ASIC supervisor can sign off without remediation.

Stop benchmarking. Book a call.

Thirty minutes. We'll either tell you what to do next, or who you should be talking to instead.

Book a 30-min advisory call