Financial Due Diligence Agent

The agent works through your virtual data room, extracts and normalises financials, and reviews contracts, share registers and CIPC records. It flags tax, B-BBEE, exchange control and regulatory approval risks, delivering a structured, cited package for your analysis.

Ideal forTransaction services teams

The difference

From 2-3 weeks to 2-4 hours

Your team spends the diligence window testing findings and advising the client rather than extracting data.

Done by hand

2-3 weeks

With the Vanine agent

2-4 hours

Time returned to your team

99%

Indicative figures. We measure your own baseline in the first fortnight so the numbers you see are yours.

Built for SA deal complexity

SA transactions need B-BBEE ownership, Competition Commission, exchange control and SARS tax compliance status checks on top of normal financial diligence. The agent covers them in the first pass.

Tight timelines, met

Advisers and PE teams work to demanding deal timetables. The agent processes the data room in parallel, so your team starts from findings rather than files.

Model-ready output

Financials land directly in your templates with citations, feeding models, Competition Commission analysis and investment committee memos without rekeying.

Capabilities

First-pass financial due diligence in hours, with SA regulatory risks already flagged.

Built for transaction services advisers, PE deal teams, corporate development teams and lenders working on SA transactions.

Automated data room processing

Analyses hundreds of documents at once, including AFS, management accounts, contracts, share registers and CIPC records.

Financial statement spreading

Extracts IFRS or IFRS for SMEs financials and management accounts and populates your standard model templates.

Red flag identification

Looks for customer concentration, margin erosion, unusual accounting, SARS disputes or tax compliance status issues, and exchange control or related-party exposures.

Shareholding and B-BBEE analysis

Checks the share register, shareholder agreements and CIPC beneficial ownership filings, and assesses the risk of losing B-BBEE status after the deal.

Commercial contract review

Extracts key terms from commercial agreements and flags change of control, termination, liability and B-BBEE-linked clauses.

Structured data output

Delivers a cited dataset of findings ready for your models, Competition Commission analysis and investment committee memos.

How it works

From your systems to a result you sign off

Findings land ready for the engagement lead to review before they inform the diligence report or any client advice.

SharePointOutlookTeamsExcel
Any system you use
Connects

Connect the places your deal data already live.

Documents in your virtual data room (Ansarada, Datasite, Intralinks) or SharePoint, with company and beneficial ownership data from CIPC through licensed data providers. Already use something else? We connect that too.

  • OpenAI Frontier
  • Your own AI platform or models
  • Microsoft 365 (Teams, SharePoint, Outlook, Excel)
  • Copilot Studio
  • Virtual data rooms (Ansarada, Datasite, Intralinks)
  • CIPC data via providers such as WinDeed and SearchWorks
  • Excel model templates
Works in

Microsoft Teams, Copilot Studio or OpenAI Frontier for deal team queries, or as a batch run whenever the data room is updated.

Automated data room processing
Financial statement spreading
Red flag identification
Shareholding and B-BBEE analysis
Commercial contract review
Structured data output
Delivers to

Populated Excel model templates and a cited findings register saved to the deal folder.

Step by step

  1. 01

    The data room opens or receives new documents.

  2. 02

    The agent classifies documents and extracts financials into your templates.

  3. 03

    It reviews shareholding, B-BBEE, contracts and tax compliance.

  4. 04

    It compiles a cited red flag register.

  5. 05

    The engagement lead reviews and finalises the findings.

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.

Model Context Protocol

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.

Adopting frontier AI across your teams
Called from ClaudeMCP connected

"Index the Project Impala data room"

Toolfinancial_due_diligence.process_data_room
deal
Project Impala
model
FDD template v3
Returned864 documents indexedEvery finding linked to its source document
Self-hosted

On a model you host yourself

Run the agent on open-weight models in your data centre or private cloud. Your deal data never leave your network, which keeps POPIA and data residency straightforward.

  • Llama
  • Mistral
  • Ollama
  • or any OpenAI-compatible endpoint
Sovereign AI on your infrastructure
Bespoke systems

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
Custom integrations from our software factory
Governance

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 your data is handled

DATA SECURITY & PRIVACY

Your deal data stay yours.

The agent runs inside your tenancy, reads only what each task needs, and never trains on your deal data. Every step is logged so your auditors can see exactly what it touched.

Built for regulated work.

+
WHAT THE AGENT KEEPSONLY THE OUTPUTENCRYPTED AT REST0 BIT AES0% DELETABLE0 TRAINING RUNS

YOUR DEAL DATA NEVER LEAVE YOUR ENVIRONMENT

Precision AI for Institutional Workflows

Build once.Deploy across teams.Improve over time.