MEK AI
BackPro AI Strategic Consultant
BackPro AI
Ask MEK a question about us
Enterprise-grade AI, safely inside your environment. Efficiency gains that regulators are comfortable with.
The compliance and operational risks you're managing:
The adviser is accountable for appropriate advice. AI assists documentation, not decision-making.
The AFSL remains responsible for supervision, compliance, and quality control.
Every SOA must be reviewed and signed off by authorised advisers and compliance.
Full audit trail of how recommendations were formed and documented.
BackPro is designed with these constraints in mind.
Firms typically apply AI support to:
Generate first-draft sections (client circumstances, recommendations, disclaimers) using your firm's pre-approved language and structure.
Query your firm's approved research, product lists, and policy documents instantly without manual searching.
Identify inconsistencies (e.g., client age on page 3 doesn't match page 15, fee disclosure mismatch) before compliance review.
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.
Expectations around advice quality are rising. Manual SOA processes create inconsistent outputs and audit trail gaps.
→ Every inconsistent SOA is potential exam fodder
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
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
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
When experienced staff leave, their knowledge walks out. Tribal knowledge isn't auditable or consistent.
→ This creates succession risk and compliance gaps
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.
Regardless of the tools used:
Estimate time savings and capacity gains from improved workflow efficiency
Based on your firm's profile
Time available for growth initiatives
Based on 2 paraplanner(s) @ $45/hr
Average monthly time savings from workflow improvements
The AI does not recommend products or strategies. Advisers decide.
Your client data never touches ChatGPT, Claude, or any public LLM.
AI-assisted SOAs still require full human compliance review and sign-off.
AI assists documentation and retrieval. Advisers remain accountable for Best Interests Duty compliance.
Deployed BackPro with focus on:
We provide materials to support internal and external review
How client data moves through the system (or doesn't)
Questions to answer before deploying AI in advice
What staff can and cannot use AI for
What happens during implementation and ongoing support
Firms typically engage via:
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
Full firm rollout with training, template integration, and ongoing technical support.
Includes: Monthly usage reviews, template updates, compliance reports
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.
Common questions from principals and responsible managers
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.