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. Built specifically for Australian financial services.

Days → Hours on every DDQ
Deployed on customer Azure VPC
Built for Australian financial services

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Last quarter's performance data in this month's RFP, outdated team bios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eVestment, Mercer, Preqin profiles outdated, costing pitch opportunities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

1

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."

2

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."

3

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."

4

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 yourself

How 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 Guide

What 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

1

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.

2

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.

3

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.

REAL DEPLOYMENT

Sydney Fund Manager: Days \u2192 Hours on DDQs

How a boutique Australian equities manager deployed BackPro Executive on their Azure VPC

The Challenge

  • \u202250-200 page DDQs taking days of manual work
  • \u2022Dozens per year = weeks of non-revenue work
  • \u2022"Are we falling behind on AI?" uncertainty

The Approach

  • \u2022Deployed on their Azure VPC (data sovereignty)
  • \u2022Connected to existing SharePoint documents
  • \u2022Started with DDQ automation specifically
  • \u2022Design partnership during platform development

The Results

  • Days \u2192 Hours on DDQ completion
  • Immediate ROI on every questionnaire
  • Deep understanding of AI capabilities in their business
  • Company-wide licensing for entire team

"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."

\u2014 Selector Funds Management Leadership Team

Need COO or Partner sign-off?

If your COO, CIO or Managing Partner needs comfort around risk and governance first, we've made that easy.

Invite your COO to the next call

What IR and operations leaders say

"We went from 16-hour DDQ turnarounds to 4 hours. The accuracy actually improved because we eliminated copy-paste errors and version control issues."

Head of Investor Relations

$2.5B hedge fund, Sydney

"The biggest win was getting our eVestment and Mercer profiles updated consistently. We were losing pitch opportunities because our data was 6 months stale."

Operations Manager

$1.8B long-only equity fund, Melbourne

"Our PMs used to hate getting pinged for DDQ answers. Now the IR team has a knowledge base they can query themselves. Everyone's happier."

Director of Operations

$4B multi-strategy fund, Singapore

Frequently asked questions

Common questions from IR and operations leaders

Is this just another AI tool we'll subscribe to and never use?
No. BackPro deploys on YOUR infrastructure (Azure/AWS/GCP) and works with YOUR actual fund documents. The Selector Funds Management deployment shows what this looks like: platform running on their Azure VPC, using their real DDQ response history, compliance records, and fund documents. Days → hours on every DDQ.
Do we need to understand AI before we start?
No — you build that understanding as you go. One Sydney fund manager told us: "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 real learning comes from working with your actual data on real problems.
Should we automate everything at once?
No. Most funds start with DDQ automation specifically. Prove ROI there, then expand to RFPs, investor reporting, or research automation when your team is ready. Focused deployment beats trying to do everything at once. As one fund said: "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."
What if the AI generates an inaccurate answer?
Human review is mandatory. BackPro provides suggested responses with source citations. Your IR team validates accuracy before sending to investors. Every response still goes through your approval workflow.
How does this work with our compliance review process?
BackPro integrates with your existing approval workflow. All AI-generated content can be flagged for compliance review before distribution. Full audit trail of who reviewed what and when.
How long does implementation take?
Most funds complete pilot setup in 3-4 weeks (1-2 DDQs to validate). Full rollout to RFPs and investor reporting typically takes 6-8 weeks. Important: This requires sustained organizational commitment. One fund's COO acknowledged: "We haven't given it enough focus internally because of the way businesses have to run." Plan accordingly.

Ready to eliminate DDQ bottlenecks?

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MEK AI

BackPro AI Strategic Consultant