AI agents for financial due diligence
The next era of due diligence.
Messy seller exports in. Source-linked workpapers out: EBITDA bridge, net debt, NWC peg. Hours, not weeks.
Built for QoE boutiques · transaction advisory · ETA diligence
Today's reality
Diligence teams are stuck between two bad options.
OPTION A
Throw analysts at messy exports.
Senior people spend nights re-keying trial balances before analysis even starts.
OPTION B
Point generic AI chat at the data room.
Chat can summarize a contract. It cannot build a workpaper or defend an add-back.
Both leak margin. Teams lose 8–15 hours per engagement before analysis begins.
The three FDD workstreams
Built around the numbers that move deal value.
Every engagement comes down to three numbers in the equity bridge. Our agents are organised around them.
01Quality of Earnings
Bridge AgentAgents draft the normalisation and pro-forma adjustments, each with a source row, rationale, and confidence level.
At an 8.0× multiple, every accepted $1 moves enterprise value by $8.
02Net Debt
Cash AgentAgents sweep the trial balance and agreements for debt-like items the reported number misses: trapped cash, accrued interest, rent-free accruals.
Dollar-for-dollar impact on equity value.
03Net Working Capital
Cash AgentAgents build monthly NWC, normalise distortions, and propose a defensible 12-month median peg.
Dollar-for-dollar impact on equity value.
Every line is a workstream. Every workstream lands as an Excel workpaper.
Agents as a service
Not software to learn. A team to hire.
Five agents staff the grunt work of an engagement. Exports in, source-linked Excel workpapers out. Your reviewers approve every finding.
How it works
A first pass you can defend, not a black box.
01
Upload the exports
Trial balance, GL, bank statements, agings. Excel, CSV, or PDF. No integrations needed.
02
Agents build the first pass
Bridge, proof of cash, red flags. Every number tied to a source row.
03
Your reviewer decides
Accept, reject, or edit every finding. Nothing ships without your judgment.
04
Export the workpapers
Excel workpaper pack, red-flag log, draft narrative, source index.
Not a replacement for your team. A traceable first pass, so doers become reviewers.
Security
Built for deal data under NDA.
Encrypted end to end
Engagement data is encrypted in transit and at rest.
Never trains models
Your client data is never used to train or fine-tune models.
Role-based access
Engagement-level permissions for analysts, reviewers, and partners.
Full audit trail
Every upload, finding, and reviewer decision is logged immutably.
Source lineage
Every number traces to the file, sheet, and row it came from.
Retention you control
Engagement data is deleted on your schedule, not ours.
Questions
Asked by every partner we meet.
Quality of earnings, net debt, and net working capital, plus the supporting analyses: historical trading, customer concentration, product and service line, cash flow and capex, and forecast review.
Design partners
Run it on a real engagement.
We are onboarding a small cohort of design partners. Bring a historical engagement and measure the hours saved yourself.