AI diligence versus a traditional QoE.

Traditional financial due diligence is a professional service engagement delivering a signed report over three to six weeks. AI due diligence software is a tool that analyzes accounting data in hours and produces findings without professional attestation.

They are sequential rather than competing. One tells a buyer whether to proceed. The other supports closing.

AddBack analyzes complete general ledger data and returns normalized EBITDA and financial findings in hours. A traditional QoE process takes three to six weeks and delivers a report with professional sign-off.

AddBack is built for the decision that comes before that engagement: whether a target deserves full diligence spend at all. It reads every entry rather than sampling, reconciles the ledger to the trial balance, and produces an adjustment bridge with entry-level support. It does not issue an opinion a lender can rely on, and it does not negotiate adjustments with the other side.

Most buyers use both. AddBack to screen and prepare, a QoE firm to confirm and sign. Screen first. Spend second.

Indirectly, in two ways: by preventing spend on deals that should not have reached diligence, and by reducing the hours a QoE team spends on data assembly.

The larger saving is avoided cost. A buyer who commissions full diligence on five targets to close one absorbs four engagements of dead spend. Screening the ledger first means only viable targets reach that stage.

The second saving is scope. When a QoE team receives reconciled data with a mapped chart of accounts and an initial adjustment schedule, they spend their time on judgment instead of cleanup, which is where their rate is actually worth paying. Providers price partly on data condition, so arriving with clean data is a negotiating position.

Yes, mainly by compressing data preparation, which consumes most of the calendar time in a typical engagement.

Analysts routinely spend the first one to two weeks obtaining files, resolving format problems, mapping the chart of accounts, and reconciling the ledger to the statements. Automating that removes most of it. It also front-loads the information request: knowing on day one which accounts are unclear means seller follow-ups happen once rather than across three rounds, and seller response time is the delay buyers control least.

Analysis and negotiation still take professional time. The realistic gain is on assembly, not on judgment.

Nearly all of the factual groundwork. Before an engagement begins, a buyer can already have a normalized EBITDA estimate, a reconciled ledger, transaction-level trends, a flagged anomaly list, and a targeted seller information request.

• A normalized EBITDA estimate with an entry-level supporting bridge
• Confirmation that the ledger foots to the trial balance and up to the statements
• Monthly revenue and gross margin trends built from transactions rather than summaries
• A flagged list of unusual entries, vendors, and period-end activity
• Customer concentration and revenue durability detail
• A targeted seller information request list

That package changes the character of the engagement. The QoE team starts from a reconciled position instead of a data room, and the buyer walks in knowing which findings to press.

Use software early, when the question is whether a target is worth pursuing. Use a QoE provider late, when the question is whether the deal can close and be financed.

• Pre-LOI and early exclusivity. Software. Fast, complete, and cheap enough to run on every target under consideration.
• Post-LOI confirmatory diligence. QoE provider. Required by lenders, expected by investment committees, and necessary for negotiating adjustments with the seller’s advisor.
• Both, in sequence. What most disciplined buyers do. Screen every target, commission full diligence only on the ones that survive.

The failure mode is using either alone: paying for full diligence on unqualified targets, or closing on software output with no professional sign-off.

Yes, and it is the most common use case. Running an analysis on the general ledger before engaging a QoE firm lets a buyer decide whether the deal justifies the cost, and gives the firm a cleaner starting point.

There is no conflict between the two. Sequencing them means diligence dollars go only to targets that already survived a complete look at their accounting records. Buyers doing this at volume, search funds, independent sponsors, and platform acquirers running multiple add-ons, see the largest effect on total spend, because their ratio of engagements to closings was the highest to begin with.