Build AI capability that works with YOUR data
Start with DDQs. Scale to what matters to your fund.
How a Sydney fund manager deployed BackPro on their Azure VPC to turn days of DDQ work into hours, using their actual fund documents, compliance records, and performance data.
Live preview — DDQ auto-matching in action
What this fixes (today)
If you manage investor communications, you've likely seen:
DDQs taking 12-20 hours to complete
Manual data entry across 200+ questions, hunting for answers across systems
Copy-paste errors and version control nightmares
Last quarter's performance data in this month's RFP, outdated team bios
“Chase the PM for answers” bottlenecks
Investment team too busy to respond to routine IR requests quickly
Consultant database updates falling behind
eVestment, Mercer, Preqin profiles outdated, costing pitch opportunities
Every DDQ feels like starting from scratch
No centralised response library, every analyst does it differently
BackPro is designed to reduce these bottlenecks without changing who reviews, who approves, or who owns accuracy.
The BackPro Approach
Unlike generic AI tools, BackPro is built specifically for Australian financial services
Start With Your Real Documents
Your fund fact sheets, compliance records, DDQ response history — not demos or sample data. Deployed on YOUR Azure/AWS/GCP environment, not BackPro servers.
“We wanted to explore AI ourselves. Getting you involved helps us understand more about AI and the huge amount of data that we've got.”
Solve One Problem Well First
Most funds start with DDQ automation. Prove ROI before expanding. Days → Hours on every DDQ. Focus beats trying to automate everything at once.
“Let's be more focused. We can give you a lot more data on a specific area, and when we use it, it can give us a lot more value.”
Build Understanding As You Go
You don't just get software — you build AI capability. Understand what AI can actually do in your business. Knowledge that serves you beyond any single platform.
“What BackPro has brought to Selector is just how much more we've got to learn. It's no use just reading a magazine or playing with generic AI tools.”
Expand When Ready
Investment research automation, regulatory reporting, market intelligence monitoring. Additional use cases as your team is ready.
“There are particular targeted applications we could work on. That’d be another thing that we could do.”
Based on Sydney fund manager deployment
Experience the platform yourselfHow funds use BackPro
Funds typically use BackPro to:
Auto-populate DDQ responses from your approved data library
Upload your fund's DDQ response history, factsheets, and policies. BackPro generates first-draft responses to new DDQs, citing source documents for verification.
Accelerate RFP responses using past winning proposals
BackPro learns from your successful RFP responses and generates consistent, on-brand content for new opportunities, cutting response time from weeks to days.
Standardise monthly/quarterly investor reporting
Generate consistent performance commentary, market updates, and portfolio attribution reports using your approved templates and current data.
Instant answers to “What did we say about X?”
IR team asks BackPro questions like "What's our ESG policy?" or "How did we describe our risk process in the last DDQ?" and gets instant, sourced answers from approved fund documents.
Human review and compliance sign-off remain mandatory.
Download: AI & Investment Due Diligence - A Practical GuideWhat you get (practical outcomes)
Faster DDQ turnaround without quality compromise
Reduce DDQ completion time by 60-70% on average
Consistent answers across all investor communications
Eliminate “we said X in one DDQ and Y in another” problems
Less chasing PMs and analysts for routine data
Self-service knowledge base reduces internal escalations by 80%
Always-current consultant database profiles
Automated updates to eVestment, Mercer, Preqin from source data
Audit trail for compliance and accuracy verification
Track what AI generated, what human edited, with full version control
Deploys on your infrastructure
BackPro runs securely on enterprise cloud infrastructure. Your data stays in your environment with complete sovereignty and control.
AWS
Deploy on Amazon Web Services with full VPC isolation
Azure
Run on Microsoft Azure with enterprise compliance
Google Cloud
Host on Google Cloud Platform with advanced security
You keep your templates, approval workflows, and data sources. BackPro integrates without disrupting existing systems.
Implementation - what to expect
We ingest your DDQ response history and fund documents
90-minute discovery to understand your IR workflow, data sources, and approval processes. We map your existing DDQ library, factsheets, policies, and past RFPs.
Your fund data is loaded into a private AI environment
DDQ responses, performance data, investment process descriptions, and fund policies are loaded into your own isolated AI instance. No data shared with other clients or public AI services.
Your IR team is trained on usage and quality control
IR analysts and operations staff receive training on how to validate AI outputs, when to escalate, and how to maintain the response library.
Most funds start with a DDQ pilot before expanding to RFPs and reporting.
From days of DDQ grunt work
to hours of strategic output
A boutique Australian equities manager running ~$500M AUM deployed BackPro on their Azure VPC to eliminate their biggest non-revenue time sink.
Selector's DDQ workflow — questions auto-matched against their fund documents
Before BackPro
- 50–200 page DDQs taking 3–5 days of analyst time
- Dozens of DDQs per year = weeks of non-revenue work
- Copy-paste across SharePoint, emails, and old DDQ responses
- Portfolio managers constantly interrupted for routine data
After BackPro
- Days → Hours on every DDQ — 89% auto-matched with 96.7% accuracy
- Zero copy-paste — responses sourced directly from fund documents
- Company-wide licensing — entire IR team using the platform
- Azure VPC deployment — fund data never leaves their infrastructure
"What BackPro has brought to Selector is just how much more we've got to learn, which is probably a highly valuable insight. It's no use just reading a magazine or playing with generic AI tools yourself. That's level zero capability. You're operating at a much higher level, and we can see now the value of understanding this much more clearly."
Selector Funds Management Leadership Team
Boutique Australian equities manager · Sydney
Need COO or Partner sign-off?
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Frequently asked questions
Common questions from IR and operations leaders