A CDD is one of the most demanding engagements in consulting: a few weeks of time, large sums at stake, and a client, usually a private equity fund or a strategic buyer, who wants every statement to hold up. No wonder many firms are exploring how AI can help here.
What a commercial due diligence has to clarify
At its core, the CDD answers one question: are the revenue and growth assumptions in the target company’s business plan realistic? To answer it, market, competition and customers are examined: how big is the market and how does it grow, how is the company positioned against competitors, how satisfied and loyal are its customers? Finally, it is tested whether the assumptions in the plan fit this picture. The CDD thereby complements the financial due diligence: one provides the market view, the other the numbers view.
Process and where AI supports
| Phase | What AI can contribute | What stays with the consultant |
|---|---|---|
| Kick-off and hypotheses | First market overview, suggestions for hypotheses and issue tree | Focus on the questions that matter for the investment decision |
| Screening the data room | Search documents, extract key statements, flag anomalies | Review and put critical points into context |
| Analysing the market | Research, structuring, preparing bottom-up calculations | Assess assumptions, weigh sources |
| Analysing competition | Longlist and profiles, analysis of websites and company data | Assess relevance and positioning |
| Gathering the customer view | Draft interview guides, analyse transcripts | Conduct interviews, weigh statements |
| Reviewing the business plan | Make deviations and contradictions visible | The verdict: is the plan achievable? |
| Writing the report | Structure, drafts, formatting in corporate design | Key messages, recommendation, responsibility |
What AI concretely brings to a CDD
When research, data room screening and formatting go faster, more time remains for interviews and for assessing the business plan, the part that makes the difference. In the same time, more competitors, segments or documents can also be analysed. This reduces the risk of overlooking something important.
Anomalies such as customer concentration or expiring contracts become visible earlier. This helps when the client expects a first assessment after just a few days. And a fixed process ensures that every project goes through the same checks, regardless of who is on the team.
Where AI does not help
The most valuable insights of a CDD often come from conversations with customers, competitors and industry experts. This information is written down nowhere, and AI cannot replace it. Neither can the verdict be automated: whether a business plan is realistic is not a calculation but an assessment based on experience and industry knowledge. The firm is liable for it, not the AI.
Particular caution applies to numbers and confidentiality. AI models can deliver plausible-sounding but wrong numbers, so in a CDD every number has to trace back to a verifiable source. And data room content is subject to strict confidentiality agreements. It may only be processed in environments that clearly state where the data is stored, that it is not used for training and who has access.
What to look out for
- Source requirement: every statement in the report can be traced back to the data room, an interview or a public source.
- Secure environment: EU data hosting, no training on client data, separation between engagements.
- Fixed checkpoints: hypotheses, market model and key messages are approved by an experienced consultant.
- Consistent process: one CDD playbook for every project instead of individual approaches.
- Preserve insights: market knowledge ends up in a shared knowledge base, not in personal folders.
Conclusion
AI makes the commercial due diligence faster and broader, but not less demanding. The value of a CDD still lies in a well-founded, evidenced judgment on whether an investment holds up, and AI creates the time to form that judgment more carefully. For boutique firms this means: handle CDD engagements more thoroughly in the same time, or take on more of them with the same team.
