Due Diligence AI Analyst
150 questions. 15 minutes.Answered in the format they sent.
Our Due Diligence AI Analyst reads any Excel questionnaire format, generates policy-cited draft responses using your own policies and past answers, and returns the completed file in the original layout.
first draft time, live customer demo
multi-tab, weighted, non-standard. No template required
questionnaires cleared by a 7-person GRC team
The Problem
The First Draft Is Where the Time Goes
Every customer sends a different Excel format
Multi-tab, weighted scoring, conditional fields. Each questionnaire needs manual interpretation before anyone can start answering it.
80 questionnaires a year. 7 people. BAU does not stop.
A 7-person GRC team managing 80 annual questionnaires spends most of its capacity on first drafts, not higher-value compliance work.
Sales is waiting. GRC is still on the first draft.
When deals require a completed questionnaire before the next meeting, a 2-week drafting cycle is not a compliance problem. It is a revenue problem.
The same question. Different answers from different analysts.
The same question appears in questionnaires from different customers. When different analysts draft it independently, answers drift. That inconsistency surfaces in audits.
How It Works
How Our Due Diligence AI Analyst Works
Upload the questionnaire as received. Connect your policy library. Get a completed draft returned in the original Excel format with every answer cited to source.
Drop in the Excel file exactly as the customer sent it. Our AI Analyst automatically parses the structure, identifying question columns and answer columns across any tab layout with no template mapping required.
Point it at your policy library and historical assessment answers. You choose which policy version and past response set to reference so no outdated data gets cited without your approval.
Every question is answered by referencing your specific policies, controls, and past responses simultaneously. Each answer includes the source citation: which policy, which section, which version.
The draft is returned as a structured view for human review. You approve, adjust, or override before anything is submitted. Our AI Analyst handles the first draft. Your team owns the final response.
The completed questionnaire is returned in the original Excel layout: tabs intact, links preserved, structure unchanged. You submit exactly what they asked for with no reformatting on your end.
Capabilities
Built for What Manual Drafting Cannot Scale
Six capabilities that make it possible to answer due diligence questionnaires at volume without sacrificing accuracy, consistency, or format fidelity.
Any Excel Format. No Template Required.
It reads any Excel structure automatically: multi-tab, weighted scoring, non-standard columns, embedded links, with no column mapping needed. Our AI Analyst identifies question and answer fields regardless of how the sender structured the file.
Every Answer Cites Its Source
Responses reference your own policies and past answers, not generic compliance text. Each answer cites the specific policy document, section, and version behind it, making every response defensible and auditable on request.
Same Question. Same Answer. Every Time.
When the same question recurs across questionnaires, our AI Analyst draws on your response history to produce a consistent answer. Drift caused by different analysts drafting independently is eliminated at generation, not caught during review.
Questionnaires That Block Deals Get Cleared First
A backlog of 80 questionnaires with a 7-person team means some deals wait weeks for a draft response. Our AI Analyst prioritises high-priority questionnaires and returns a complete draft in minutes, so sales is not waiting on GRC.
Every Answer Checked Twice Before You See It
Every draft answer passes through two validation nodes before you see it: an LLM judge checking for unsupported claims and metrics-based verification measuring faithfulness and relevance. Answers failing both nodes are rewritten automatically.
It Knows Which Documents Are Current
A structured graph maps your policies, certifications, and assessments with version and expiry metadata. Our AI Analyst references only current, relevant documents through deterministic logic rather than guessing what is recent from training data.
Compare
Where Other Approaches Break Down
Every GRC team receiving 50+ questionnaires a year has tried at least one of these. Here is specifically what fails, and what our Due Diligence AI Analyst does instead.
A single questionnaire takes 2 weeks of analyst time to interpret, locate the right policies, draft answers, and check consistency with past responses. At 80 per year, this is not sustainable.
Our Due Diligence AI Analyst returns a policy-cited draft for any questionnaire in minutes, in the original Excel format.
Generic AI produces generic answers. Without access to your actual policies, controls, and response history, it cannot produce org-specific, defensible responses or return the completed file in the original format.
It draws on your own policies and past assessment history to generate cited, org-specific answers returned in the sender's exact Excel layout.
Pre-built response templates only work when the incoming questionnaire matches the template structure. Non-standard formats, multi-tab layouts, and custom column arrangements break them immediately.
It reads any Excel structure automatically with no template mapping, no preprocessing, and no manual interpretation before drafting begins.
External services introduce a handoff delay, a confidentiality risk, and a per-questionnaire cost model that scales directly with volume. At 80 questionnaires a year, the economics do not hold.
It runs inside your own environment. Your data never leaves, and the cost does not scale with questionnaire volume.
Proven Impact
Results From Live Deployments
Observed outcomes from production deployments. Government-validated accuracy controls.
A global financial institution received a complex investor questionnaire in a proprietary multi-tab Excel format that previously required a 2-week manual first draft. Our AI Analyst completed all 150 questions in 15 minutes and returned the answers in the original file layout.
Singapore's Model AI Governance Framework for Agentic AI (v1.5, May 2026) features Cyber Sierra's due diligence technology as a case study. The framework documents a deployment at a financial institution where a task that previously required more than 100 manual hours was completed in 15 minutes.
The World Bank consulted Cyber Sierra for World Development Report 2026: Artificial Intelligence for Development. The WDR is the World Bank's most influential policy publication and shapes AI strategy for governments, central banks, and multilateral institutions globally.
The first draft is where analyst time is consumed: locating the right policies, interpreting non-standard formats, and drafting answers that are consistent with past responses. Our AI Analyst compresses this stage from weeks to minutes, leaving the team to handle review and sign-off.
An enterprise GRC team managing 80 due diligence questionnaires annually was spending most of its capacity on first drafts while sales timelines slipped. Our AI Analyst now handles the drafting so the team focuses on review, approval, and higher-value compliance work.
Questionnaires arrive in multi-tab layouts, weighted scoring systems, conditional fields, and non-standard column structures from different senders. Our AI Analyst parses any of them automatically without template preparation or manual column mapping before it begins drafting.
“Auditors are going to love it. Very good. It will make it very easy for anyone to go and check.”
– Rashmi Chaudhry, Independent ISO 27001 Auditor, 15+ years experience
Who It's For
Who This Is Built For
Enterprise GRC and compliance teams receiving security questionnaires at volume.
Head of GRC / Compliance Manager
Managing 50 to 80 due diligence questionnaires per year with a lean team, while regulatory BAU work competes for the same headcount.
“Sales get held up unless the questionnaires get filled. It is not a compliance backlog. It is a revenue backlog.”
CISO Responding to Investor or Regulator Requests
Accountable for the accuracy and defensibility of security questionnaire responses submitted to investors, regulators, or enterprise customers during due diligence.
“The first draft takes most of the time. That is the part we need to compress, not the review.”
Enterprise Sales Team (GRC-Adjacent)
Closing enterprise deals that require a completed security questionnaire before the next stage, where a 2-week drafting cycle is the primary bottleneck.
“We cannot move to the next meeting until the questionnaire is done. GRC is already at capacity.”
Group Compliance at Multinational Responding to Cross-Jurisdiction Requests
Responding to questionnaires from regulators, auditors, or enterprise clients across multiple jurisdictions, each with different format requirements and policy reference sets.
“Every sender has a different format. We are rebuilding the answer set from scratch each time.”
The Due Diligence AI Analyst deploys in your own cloud, on-premises, or air-gapped with your choice of LLM. Your policy data and questionnaire content never leave your environment.
FAQ
Frequently Asked Questions
Yes. It reads any Excel questionnaire structure automatically: multi-tab layouts, weighted scoring, conditional logic, non-standard column arrangements, embedded links. There is no template to prepare and no column mapping to configure before drafting begins.
If the format is unusual enough that the structure analysis needs a manual override, that is surfaced in the review interface before any answers are generated. You are not committed to a draft you have not seen.
You control which policies and which version of each policy our AI Analyst references for any given assessment. It does not automatically default to the most recent file: you specify the source set, which means outdated policies are not cited without your explicit instruction.
The underlying Context Graph tracks document version, expiry date, and provenance metadata for every policy file. Our AI Analyst references documents deterministically based on structured metadata rather than relying on the model's memory of what is recent, a design validated by Singapore's Model AI Governance Framework for Agentic AI.
Yes, and that is one of the main reasons teams adopt it. When different analysts draft answers to the same question independently, responses drift across questionnaires. Our AI Analyst draws on your full response history and ensures the same question gets the same answer regardless of who triggers the generation.
The review step is where your team applies judgement. Our AI Analyst handles the part that historically produces inconsistency.
Every draft answer passes through a reflection architecture with two independent validation nodes before it reaches you. An LLM judge checks for unsupported or fabricated claims. A metrics-based node evaluates faithfulness, context relevance, and response relevance against your source documents.
Answers that fail both nodes trigger an automatic rewrite. If the answer cannot pass both nodes within three iterations, it is surfaced to a human reviewer instead of being included in the draft. This dual-node system is documented in Singapore's Model AI Governance Framework for Agentic AI as a technical control for accuracy in agentic systems.
No. It deploys inside your own infrastructure: your cloud (AWS, GCP, Azure), on-premises, or air-gapped. Neither your policy library nor the incoming questionnaire content is processed outside your environment.
Confidentiality requirements are supported by design. The questionnaire is sensitive data, and it is treated accordingly.
Yes. The standard entry point is a scoped proof-of-value: bring an actual questionnaire you have received and your current policy library. We run it live in the briefing and show you what the draft looks like before you leave.
Several enterprise customers made their adoption decision after seeing the output on a questionnaire they were already working through manually. The strategy briefing is where that session happens.
See it work on your questionnaire.
18+ enterprise CISOs have seen our AI Analysts run on their actual documents. Bring a due diligence questionnaire you are working through now. We will draft it live in the briefing so you see the output before you leave.