Investment Banking Pitchbook Automation: A Controlled End to End Workflow
How to automate pitchbook production without breaking compliance: controlled data sources, comps and profiles from approved records, native charts, wall crossing and sign off.
Practical guides for consulting, banking, M&A, insurance, and regulated industries. Learn how to automate presentation work while protecting confidential data, approved content, brand standards, and human review.
5 articles · M&A & Private Equity
How to automate pitchbook production without breaking compliance: controlled data sources, comps and profiles from approved records, native charts, wall crossing and sign off.
Where AI helps across an M&A process, where confidentiality makes it unacceptable, and the workflow controls a deal team needs before anything touches the data room.
A page by page structure for an investment committee paper, what each section must contain, and the review checklist that stops a committee debating formatting instead of risk.
A structured way to answer whether specific deal material may go into a specific AI tool, covering NDAs, inside information, personal data, the processing chain and deletion.
Thirty five checks across valuation, comps, market data, confidentiality, disclaimers and the final file, in the order an experienced reviewer works through a pitchbook.
Authors
Our founders write from first-hand experience: Florian on consulting and agentic AI, Maximilian on data protection and enterprise operations, and Robin on AI architecture and security. We share this expertise to help teams build safer, faster, and more professional presentation workflows. Regulatory content is grounded in primary sources and receives specialist review where required.