AlternativeSoft is DDQ automation software that completes due diligence questionnaires using AI. It drafts answers from your own document library, flags gaps for review and cuts DDQ completion time by up to 90%: turning a weeks-long task into minutes.
DDQ automation software completes due diligence questionnaires automatically instead of by hand. AlternativeSoft reads your existing documents and prior answers, drafts responses to each question, cites its sources and flags anything that needs review - so analysts approve answers rather than writing them from scratch.
To automate due diligence questionnaires, AlternativeSoft ingests your documents and answer history, matches each question to the best supporting evidence, then drafts a cited response for an analyst to approve or edit. The result is a completed DDQ in minutes, with consistency and an audit trail across every submission.
Whether you send DDQs to managers or respond to investor questionnaires, AlternativeSoft works as a DDQ completion tool for both. Allocators issue and review questionnaires with automated flagging; managers respond at speed using AI-drafted, reusable answers - all within a single due diligence questionnaire software platform.
AI DDQ completion in AlternativeSoft is built for accuracy and oversight. Because every answer is drafted from your own documents and cited to source, analysts can verify each response quickly - combining the speed of automation with the accountability a due diligence process requires.
AI completion, cited answers, a reusable library and full collaboration.
Generate DDQ answers automatically from your document library and answer history.
Every answer links to its source document so reviewers can verify in seconds.
Approved answers are stored and reused, making each new questionnaire faster.
Missing, inconsistent or risky answers are highlighted for analyst attention.
Assign questions, track progress and sign off across your team.
Export completed DDQs and reports in the formats your stakeholders expect.
See AlternativeSoft complete a DDQ from your documents in minutes. Book a demo and put AI DDQ automation to work.
A completed questionnaire answers the qualitative questions. The quantitative ones, how the fund has actually performed, how it ranks against its peers and how it behaves in a drawdown, still need the analytics engine. AlternativeSoft MCP, now available with AlternativeSoft Cloud, lets you ask for those numbers from Claude, ChatGPT or Microsoft 365 Copilot in plain language while the DDQ is open. Every figure is computed on your own AlternativeSoft data, so the quantitative context sits beside the questionnaire answers without a single export.
“While I review this manager’s DDQ, give me its three-year return, volatility, Sharpe and maximum drawdown against its peer group.”
What comes back: The statistics and the peer rank, computed live, so the DDQ reviewer sees the quantitative picture next to the answers.
“Does the performance this manager describes in the questionnaire match the track record in our database?”
What comes back: The fund’s actual statistics for the period claimed, so the reviewer can check the narrative against the numbers.
“Write a two-paragraph summary of this fund’s risk profile I can attach to the completed DDQ for the committee.”
What comes back: Report-ready prose grounded in the real figures from the platform, with no invented numbers.
Yes, for the quantitative side of the review. AlternativeSoft MCP lets Claude, ChatGPT, Microsoft 365 Copilot or any MCP-ready assistant ask the AlternativeSoft engine for a manager’s return, risk, drawdown, peer rank, stress test and factor exposure in plain language, computed on your own data. It complements the DDQ and document review in the Cloud ODD platform rather than replacing them.
AlternativeSoft MCP is available with AlternativeSoft Cloud and with the desktop platform. It is read-only, runs either server-hosted for web assistants or locally for desktop tools, and requires the REST API to be enabled and an MCP licence confirmed by support. Setup usually takes under an hour.