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Smarter Due Diligence with AI

Automate DDQ workflows with a flexible AI framework built on Microsoft Azure

Due Diligence: a High-Stakes Time Sink

Due-diligence processes are vital, but the necessary due diligence questionnaires (DDQ) often require time-consuming responses. Recurring questions, manual research, and disconnected documentation lead to:

  • Significant time and resource drain during DDQ handling
  • Inefficiency from redundant research despite existing answers
  • No centralized reuse of existing answers – resulting in inconsistencies and lack of transparency
  • Data protection concerns with SaaS tools that are not GDPR-compliant and lack flexibility

The Solution: a Modular AI Framework

HiQ offers an Azure-native AI framework that intelligently automates the entire DDQ process – customizable to your IT infrastructure and compliance requirements. The solution is technologically standardized yet content-wise flexible – ideal for organizations with confidential processes and decentralized expertise.

Benefits at a Glance

  • Smart routing: AI categorizes incoming questions and assigns them to the right subject matter experts
  • Intelligent suggestions: Pre-populated answers based on your proprietary data
  • Audit-ready documentation: Internal portal with version control and feedback features
  • Expandable modules: Easily adapt for ESG, IT, Legal, M&A, Tax, and more
  • Full data sovereignty: No SaaS dependencies, no vendor lock-in

Our framework merges proven Microsoft Azure components with state of the art large language model (LLM) technology. Our LLM agnostic approach allows you to upgrade – anytime and without vendor lock-in – to more powerful or domain-specific models (e.g., GPT-5 or finance-specialised AIs).


Technology Stack (Azure based):

Azure OpenAI Service: LLM-based answer drafting

Azure Cognitive Search: Semantic search of previous answers

Azure Functions/Logic Apps: Automated routing and workflow control

Azure App Service: Web portal deployment

Azure AD Integration: Authentication and role management

Azure SQL / Cosmos DB:
Storage & versioning of answers

Even though our reference architecture is Azure-based, the framework can also be deployed in AWS or other cloud environments depending on your infrastructure requirements.

Project Workflow: From DDQ to Productive System

We follow a proven blueprint adaptable to your setup, including:

  1. Initial Analysis & Setup: Import of historic data & analysis of existing DDQ structures
  2. Classification: AI-driven routing of questions to responsible topic owners
  3. Semantic Search: Set-up of a vector index, based on existing answers
  4. LLM Integration: Development of prompting logic for answer generation
  5. Frontend: UI set-up for editing, review & feedback
  6. Integration: Azure AD; optional: Outlook/Teams and Power BI-Reporting

Our framework delivers a proof of concept in just a few weeks, seamlessly integrates with your Microsoft environment, and can save you up to 10 – 12 person-days per due diligence questionnaire.

Rapid Deployment, Real Results:

  • First proof of concept ready within 1 – 2 months
  • Initial setup requires < 20 person-days
  • Use of existing DDQs as initial data for model training
  • Seamless integration into Microsoft 365 environments possible
  • No recurring license fees – non-SaaS model
  • Save up to 12 person-days of effort per due diligence questionnaire

HiQ AI Reference Projects

A Flexible Alternative to SaaS Platforms

Unlike rigid off-the-shelf products, our service (as part of the HIQ AI offering) is a configurable toolkit that can be tailored to your business environment – whether it is cloud-native/Azure, hybrid, or on-prem. By that, it is an ideal approach for smart handling of due diligence questionnaires:

  • Tailored to your setup – not a “one-size-fits-all” tool
  • One-time implementation – no recurring license costs
  • Expandable – add new domains as needed (e.g., ESG, Finance, Legal)
  • LLM-agnostic – stay ahead as AI technology evolves

Want to streamline your due diligence processes? Let’s build your proof of concept – fast, secure, and aligned with your infrastructure.