Build AI capability while delivering immediate ROI
Deploy on your infrastructure. Work with your actual data. Build knowledge you own.
Australian fund managers are building AI capability through focused deployments that deliver immediate ROI while preparing for broader transformation. Start with DDQs, expand as you learn.
Live preview — Governance & approval pipeline
What doesn't change
Regardless of the technology deployed:
Accuracy and compliance remain your responsibility
The fund remains accountable for all investor communications. AI assists drafting, not decision-making or approval.
Investment team oversight is unchanged
Portfolio managers and analysts retain final approval over all performance commentary and forward-looking statements.
Human review and sign-off are mandatory
All DDQ responses, RFPs and investor reports require human validation and authorised sign-off before distribution.
Regulatory and fiduciary duties remain intact
Full audit trail of how responses were generated, reviewed and approved.
BackPro is designed to operate within these constraints.
Building AI Capability from the Ground Up
How a boutique Australian equities manager deployed BackPro AI Platform Executive on their Azure VPC
"Fund managers are sitting there asking, ‘Are we behind? Should we be really worried? Where are things going with all of this?’ They've backed particular platforms and vendors, and now they're getting mixed signals."
Selector needed to understand AI themselves, not just buy a black box. They needed it to work with their actual documents and solve real problems — all while running their investment business without disruption.
Why They Chose BackPro
- Work with their real data (fund fact sheets, compliance records, DDQ history)
- Built for Australian financial services language and compliance
- Honest about complexity and sustained effort required
- Design partnership — helped shape the platform for all customers
What They Received
- BackPro AI Platform Executive on their Azure VPC
- SharePoint integration with existing documents
- Knowledge transfer on AI capabilities and limitations
- Company-wide licensing for entire team
Key Outcomes
Days → Hours on DDQs
Immediate cost savings on every questionnaire
Deep AI Understanding
What AI can actually do in their business
Expansion Roadmap
Investment research, additional use cases identified
Company-Wide Access
Entire team can learn and benefit
"You guys are at the front, the vanguard of that transformation. If you're in right at the front of that, I think it's really good. We're only just scratching the surface, but we can see now the value of understanding this much more clearly. That's where we need to be for the future of investment management."
— Selector Funds Management Leadership Team
Why this matters operationally
Institutional allocators increasingly use AI to evaluate managers. Your operational efficiency is now part of your competitive positioning.
Operational Leverage
Scale AUM without linear headcount growth
Handle 3x DDQ volume with same IR team size. Proven at funds managing $500M to $15B AUM.
- Increase capacity without diluting quality
- Faster response to time-sensitive opportunities
- Reduce “we can't take this meeting” scenarios
Institutional Credibility
Demonstrate operational sophistication to allocators
LPs and consultants increasingly evaluate operational infrastructure as part of manager selection. AI-enabled IR signals institutional maturity.
- Faster, more consistent DDQ responses
- Always-current consultant database profiles
- Reduced operational due diligence red flags
Compliance & Auditability
Reduce compliance risk through consistency and tracking
Inconsistent DDQ responses create regulatory and LP relationship risk. BackPro enforces consistency and maintains full audit trail.
- Eliminate “we said X then, Y now” contradictions
- Track who approved what, when
- Demonstrate controls to regulators and auditors
Key Person Risk Mitigation
Reduce reliance on “hero” IR staff
If your best IR analyst leaves, their knowledge leaves with them. BackPro captures institutional knowledge in a queryable system.
- Faster onboarding for new IR staff
- Consistent quality regardless of who drafts
- Reduced risk of knowledge loss
Risk controls built into the approach
Data Control & Security
- Private deployment (your cloud or ours)
- No data shared across clients
- Role-based access controls
- Data encryption at rest and in transit
- Australian or regional data residency options
- SOC 2 Type II compliance (available)
Accuracy & Auditability
- Source citation for every AI-generated response
- Version control and change tracking
- “Show your work” audit trail for regulators
- Human validation checkpoints enforced
- Approval workflow integration
- Historical response library for consistency checking
Governance & Oversight
- Approved use cases documented (DDQs, RFPs, reporting)
- Prohibited use cases enforced (no investment decisions)
- Staff training and usage boundaries
- Escalation procedures for edge cases
- Regular governance review cycles
- Compliance team oversight integration
Operational Discipline
- Standardised response templates
- Consistent data sourcing (single source of truth)
- Clear hand-offs (IR → compliance → senior review)
- Performance monitoring and error tracking
- Continuous improvement feedback loop
What we explicitly do not do
No investment decision-making
AI does not generate portfolio construction, trading decisions, or investment recommendations. PM discretion is unchanged.
No client data sent to public AI services
Your fund data never touches ChatGPT, Claude, or any public LLM. Private deployment only.
No bypassing of compliance review
AI-assisted communications still require human validation and compliance sign-off per your policies.
No replacement of senior judgement
Forward-looking statements, investment outlook, and strategic commentary require PM/CIO review and approval.
No autonomous distribution to investors
AI drafts responses; humans review, approve and send.
Due diligence support
We provide comprehensive materials to support internal operational due diligence (ODD), board review, and auditor inquiries:
Data flow and security architecture
How fund data is stored, processed, and protected
Governance and controls framework
Approval workflows, validation checkpoints, escalation procedures
Regulatory and compliance considerations
ASIC, SEC, FCA considerations for AI in investor communications
Audit trail and version control
Demonstrating compliance and accuracy to auditors and regulators
Operational resilience and BCP
System availability, disaster recovery, and business continuity
Frequently asked questions
Common questions from COOs and managing partners