DDQ Response Agent
The agent reads any investor due diligence questionnaire, from ILPA-style templates to local DFI and pension fund questionnaires, and drafts a complete response from your knowledge base. Every answer cites its source and new or uncertain questions are flagged, so your team reviews rather than rewrites.
Ideal forInvestor relations teams
The difference
From 30-50 hours per DDQ to 2-3 hours
Your IR and compliance teams can respond to more investors, more quickly, and focus their expertise on the questions that genuinely need it.
Done by hand
30-50 hours per DDQ
With the Vanine agent
2-3 hours
Time returned to your team
95%
Indicative figures. We measure your own baseline in the first fortnight so the numbers you see are yours.
Local LPs ask local questions
Retirement funds, consultants and DFIs such as the PIC and DBSA ask about FICA, POPIA, B-BBEE, Regulation 28 and CRISA 2. The agent is built to answer them from your own policies.
One source of truth
Answers repeat across questionnaires and must stay consistent. The agent draws on a central library of past DDQs and policies so every investor gets the same, current answer.
Faster fundraising
Cited drafts cut review time and help your team return questionnaires sooner, keeping fundraises moving.
Capabilities
Complete, consistent due diligence questionnaire responses in hours, not weeks.
Built for investor relations and compliance teams at South African private equity, private credit and asset management firms.
Automated answer drafting
Drafts answers to hundreds of DDQ questions using the most relevant, current information in your knowledge base.
Centralised knowledge base
Turns past DDQs, PPMs, FAIS licence details, your RMCP and policy documents into one source of truth so answers stay consistent.
Handles any DDQ format
Processes questionnaires in multi-tab Excel, Word or diligence platform exports, including ILPA, SAVCA-aligned and DFI templates from investors such as the PIC or DBSA.
SA-specific topics
Covers the questions local LPs ask about FICA and AML controls, POPIA, B-BBEE ownership and transformation, Regulation 28 treatment and ESG under CRISA 2.
New question identification
Flags new or low-confidence questions so your team spends its time where expertise is needed.
Cited and verifiable responses
Cites the source document behind every answer, speeding up internal review and approval.
How it works
From your systems to a result you sign off
Drop the questionnaire into Teams or OpenAI Frontier and ask the agent to draft the response.
Connect the places your policy documents already live.
The incoming DDQ from Outlook or your diligence platform, plus past DDQs, PPMs and policies in SharePoint and investor history in your CRM. Already use something else? We connect that too.
- OpenAI Frontier
- Your own AI platform or models
- Microsoft 365 (Teams, SharePoint, Outlook, Word, Excel)
- Copilot Studio
- Salesforce or Dynamics 365 CRM
- Diligence platform exports
- Your DDQ library and policy documents
Drop the questionnaire into Teams or OpenAI Frontier and ask the agent to draft the response.
The completed draft is returned in the investor's original format with citations and flagged questions, ready for review and approval before it is sent.
Step by step
- 01
A DDQ arrives from an investor or consultant.
- 02
The agent reads the questionnaire in its original format.
- 03
It drafts answers from your knowledge base with source citations.
- 04
It flags new or low-confidence questions for specialists.
- 05
Your IR and compliance team reviews, approves and sends the response.
Deployment
Runs inside the tools your team already uses
The same agent and the same cited output, delivered three ways: through the AI assistant you have rolled out, on a model you host yourself, or inside your own software.
In the frontier assistant you already pay for
We publish the agent as an MCP server. Add it as a connector and your team calls it from the chat they use every day, with no new tool to learn.
"Draft answers to the pension fund DDQ"
- investor
- Pension fund
- format
- Excel DDQ
On a model you host yourself
Run the agent on open-weight models in your data centre or private cloud. Your policy documents never leave your network, which keeps POPIA and data residency straightforward.
- Llama
- Mistral
- Ollama
- or any OpenAI-compatible endpoint
Inside your own software
Trigger a run from your own workflows, and push the finished output into your ERP, GRC or reporting systems. We build the integration with your team.
- REST API
- Webhooks
- Batch jobs
- Embeddable review panel
Governed the same way, every route
Whichever way your team reaches the agent, identity, permissions and audit stay with your existing controls.
- Single sign-on through Entra ID, Okta or Google Workspace
- Reads only the documents each user is already allowed to open
- Every tool call written to an audit log you can export
How we deliver it
One agent, three ways to hold it
Start where your team already works, then take it as far into your systems as the value justifies.
DATA SECURITY & PRIVACY
Your policy documents stay yours.
The agent runs inside your tenancy, reads only what each task needs, and never trains on your policy documents. Every step is logged so your auditors can see exactly what it touched.
Built for regulated work.
+YOUR POLICY DOCUMENTS NEVER LEAVE YOUR ENVIRONMENT
More agents
More agents we build for South African enterprises
Each one is built on the same foundation: your documents, your rules, and your people signing off.
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