Comparison
Big-Four Technology Diligence vs an AI Automation Consultancy: what changes for the deal team
Conventional technology diligence takes four to six weeks because its calendar is set by stakeholder interviews. An AI automation consultancy reads the target’s code, permissions and integrations directly and returns a costed risk matrix in 48-72 hours. The deliverable differs too: a quantified remediation plan that can move into the purchase agreement rather than a narrative report.
| Conventional firm | DataOngoing.ai | |
|---|---|---|
| Timeline | 4-6 weeks | 48-72 hours |
| Method | Stakeholder interviews and vendor invoices | Static analysis of scripts, permission tables and integration endpoints |
| Staffing | Partner, manager, junior analysts | Principal architect |
| Deliverable | Narrative report with recommendations | Risk matrix, 0-4 role scoring, costed Day 1 and 100-day plan |
| Price | Time and materials | Flat fee, 100% credited to remediation |
| Basis-point angle | Findings arrive after close | Findings priced into the deal before capital is wired |
Frequently asked questions
Does speed reduce rigor?
The configuration is read in full rather than sampled through interviews. Rigor increases; calendar time falls.
Talk to the architect, not a salesperson
AI automation for private-equity portfolios, measured in basis points: a few hours of operating-partner time in, hundreds of engineering hours and margin out, delivered as working code in two-week sprints.