Enterprise-grade AI, safely inside your environment. Efficiency gains that regulators are comfortable with.
Live preview — ASIC compliance framework scoring
Why delaying AI adoption increases your risk
The compliance and operational risks you're managing:
Best Interests Duty remains with the adviser
The adviser is accountable for appropriate advice. AI assists documentation, not decision-making.
Licensee accountability remains unchanged
The AFSL remains responsible for supervision, compliance, and quality control.
Human review and approval are mandatory
Every SOA must be reviewed and signed off by authorised advisers and compliance.
Advice reasoning must be explainable and documented
Full audit trail of how recommendations were formed and documented.
BackPro is designed with these constraints in mind.
Appropriate use cases under an advice governance framework
Firms typically apply AI support to:
Draft assistance using approved SOA templates
Generate first-draft sections (client circumstances, recommendations, disclaimers) using your firm's pre-approved language and structure.
Summarisation of internal research and policies
Query your firm's approved research, product lists, and policy documents instantly without manual searching.
Consistency checking across advice documents
Identify inconsistencies (e.g., client age on page 3 doesn't match page 15, fee disclosure mismatch) before compliance review.
Faster retrieval of internal procedures and guidance
Advisers and paraplanners ask questions and get instant answers sourced from your firm's approved documentation.
AI supports the process. It does not make advice decisions.
Risk controls built into the approach
Regulatory scrutiny is intensifying
Expectations around advice quality are rising. Manual SOA processes create inconsistent outputs and audit trail gaps.
→ Every inconsistent SOA is potential exam fodder
Can't hire experienced staff fast enough
Paraplanner shortage is real. Recruitment takes 3-6 months. Your current team is stretched. One resignation = immediate crisis.
→ Key person risk compounds as workload increases
Revenue per client is declining
Regulatory changes mean same work for less revenue. You need efficiency gains without cutting compliance corners.
→ Manual processes that worked before don't scale economically
Legacy handwritten documents blocking workflows
Old client files with handwriting create bottlenecks. We automated one firm from 45 minutes to 7 minutes per document, even illegible handwriting.
→ Manual transcription doesn't scale and increases error risk
Knowledge trapped in people's heads
When experienced staff leave, their knowledge walks out. Tribal knowledge isn't auditable or consistent.
→ This creates succession risk and compliance gaps
Can't use cloud AI without data sovereignty risk
ChatGPT and cloud tools send client data offshore. Your PI insurer and ASIC won't accept that risk.
→ Cloud AI tools = compliance violation waiting to happen
These risks compound quarterly. BackPro gives you controlled AI with full accountability and audit trails.
What doesn't change
Regardless of the tools used:
Data Control
Auditability
Governance
Operational Discipline
What we explicitly do not do
No autonomous advice decisions
The AI does not recommend products or strategies. Advisers decide.
No client data sent to public AI tools
Your client data never touches ChatGPT, Claude, or any public LLM.
No bypassing of compliance review
AI-assisted SOAs still require full human compliance review and sign-off.
No replacement of adviser judgement
AI assists documentation and retrieval. Advisers remain accountable for Best Interests Duty compliance.
Case study: How a 15-adviser firm reduced compliance risk while cutting SOA time
The Challenge
- •12-day average SOA turnaround
- •4 revision cycles per SOA
- •Recurring audit findings: "generic advice" language failing BID compliance
- •Adviser frustration with admin load
The Intervention
Deployed BackPro with focus on:
- Fact-checking (client data consistency across SOA)
- BID coherence scoring (flagging generic language)
- Automatic research linking (proving "reasonable basis")
The Results (6 Months)
- 50% reduction in SOA turnaround time (12 days → 6 days)
- 75% reduction in revision cycles (4 → 1 per SOA)
- 100% elimination of "generic advice" audit findings
- 25% gain in adviser time (60% admin → 35% admin)
- 20% increase in client capacity without new hires
Due diligence support
We provide materials to support internal and external review
Data flow explanations
How client data moves through the system (or doesn't)
Governance checklists
Questions to answer before deploying AI in advice
Usage boundaries and controls
What staff can and cannot use AI for
Deployment and support overview
What happens during implementation and ongoing support
Commercial clarity
Firms typically engage via:
Pilot / Proof-of-Value
Small-scale deployment (1-2 advisers or paraplanners) to validate time savings and compliance fit. No long-term commitment required.
Duration: 4-6 weeks
Goal: Prove ROI and governance comfort
Ongoing Deployment
Full firm rollout with training, template integration, and ongoing technical support.
Includes: Monthly usage reviews, template updates, compliance reports
Governance Enablement
Training for compliance team, advisers, and paraplanners on usage boundaries, audit processes, and escalation procedures.
Includes: Documentation, checklists, internal policy templates
Our focus is on supporting existing workflows and improving consistency, while maintaining human oversight and accountability.
Frequently asked questions
Common questions from principals and responsible managers
How do I prove to ASIC that AI-assisted advice is compliant?
What happens if the AI makes a mistake?
Can I deploy this on-premise or in my own cloud?
What training is required for advisers?
How do I handle professional indemnity insurance?
Considering AI in a regulated environment?
Governance framework, risk controls, and due diligence questions.
This is not compliance advice. The session focuses on governance considerations, usage boundaries, and how AI support can fit within existing advice frameworks.