Building your DD automation pipeline

Every DD expert has felt the grind: manual questionnaire reviews, re-running the same scans, chasing version-outdated slide decks. What if your team could spend 80% less time on routine tasks and focus on strategic synthesis? That’s the promise of an automated DD pipeline.

Step 1: Identify Repeatable Tasks

• Code-repo Health Checks: license scans, dependency-vulnerability reports.
• Questionnaire Aggregation: collecting stakeholder inputs via templated forms.
• Document Validation: verifying presence and freshness of key contracts and certificates.

Step 2: Select Your Tooling Stack

• Version Control: Git for every template, script, and report.
• CI/CD Engines: GitHub Actions or GitLab CI to orchestrate scans and build artifacts.
• Scripting Languages: Python or Bash for glue logic and simple transformations.

Step 3: Integrate into Your DD Playbook

1. Define Pipelines as Code: store your YAML workflows alongside scripts.
2. Automate Scans on Pull Requests: every update to the DD repo kicks off license and security checks.
3. Generate Buyer-Ready Reports: compile scan outputs into a templated slide deck via Pandoc or Marp.
4. Monitor with Dashboards: expose the pipeline status in a lightweight web UI so stakeholders see progress in real time.

Benefits of Automation

• Time Savings: automating routine scans cuts manual hours by up to 80%.
• Auditability: every run is logged, timestamped, and immutable.
• Continuous Improvement: as tools evolve, your pipeline adapts through version control—no manual refactoring.

Yuki’s Automation Playbook in Action
In one rapid DD sprint, we deployed an end-to-end pipeline that:

1. Pulled the target’s GitHub repos.
2. Ran static-analysis and security scans.
3. Collated stakeholder questionnaire responses from Google Forms.
4. Built a 150-slide buyer dossier in under 4 hours—down from 18 hours manually.

Buyers praised the transparency of our automated logs, and the seller closed the auction process with zero post-close surprises.

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Automation in due diligence is no longer optional—it’s table stakes. By treating your DD workflows like software, you gain speed, reliability, and the breathing room to focus on high-value synthesis.

👉 Ask Yuki and start automating today

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