Built for RWI Underwriters

Anthropic ships breadth. OloLand ships depth.

When a claim hits three years post-close and discovery asks “what did you see at binding?” — OloLand’s underwriting file answers in one trail. Every forensic flag, every source reconciliation, every exclusion rationale, with provenance to the original document.

AI for Private Equity and M&A. Verifiable outcomes — source-linked numbers, cited evidence.

5-policy pilot · free
300+ leaf-level risk checks
Forensic engines pre-built
Why / What / How

Three layers. One audit-defensible underwriting file.

OloLand is the depth layer for RWI underwriting — the verifier stack and persistent deal record that turns Claude’s generic agent runtime into a binder that holds up in discovery.

Why
The artifact you produce at binding

An audit-defensible underwriting file.

Not a checklist. Not a memo. The binder that survives a claim two or three years post-close when discovery asks "what did you see at binding?" — every forensic flag, every source reconciliation, every exclusion rationale, with provenance to the original document.

What
The category we define

A verifiable intelligence layer.

Hebbia and AlphaSense are intelligence layers — better search over the data room. Verifiable intelligence is a different category: source hierarchy surfaces contradictions across CPA, tax, management, and AI evidence; generated outputs preserve source-page citations; uncited claims and unsupported high-priority assumptions stay out of the underwriting file. The grader, not just the reader.

How
The mechanism Claude doesn’t ship

Deterministic engines and a persistent deal record.

Claude can read the data room and summarize the QoE. It cannot run the Beneish/Benford/EBITDA-bridge forensic battery against typed financials, reconcile audited statements against the tax return and management model under an explicit source hierarchy, or remember what you flagged on the same sponsor or industry across every policy you’ve bound. OloLand ships all three — and they compose with the Claude agents you already use.

300+

leaf-level risk checks

Severity-scored, evidence-linked, citation-traced

5 dimensions

with industry overlays

Software, healthcare, industrials, services

3 years

audit horizon

The file that survives discovery

Free pilot

on 5 policies

Loss-ratio measurement

RWI Underwriting Math

From manual review to audit-defensible record.

RWI underwriting today is partner-hour-intensive: read the buyer’s diligence package, score it against your standards, draft an exclusion schedule, and hope the email trail holds up if a claim hits. OloLand structures every step — and the structured artifact is the underwriting file.

300+ leaf-level checks

The 90-min underwriting call is partner-hour-intensive.

You are grading the buyer's diligence quality across financial, tax, legal, IT, comp. Today this is a manual review. The structured risk register (300+ leaf-level checks) is a structured precursor to your exclusion schedule — pre-populated, severity-scored, evidence-linked, with source citations attached to every flag.

Loss-ratio impact

Loss ratios depend on diligence quality.

Buyers who run forensic screens before LOI flag earnings manipulation, addback fragility, and revenue quality issues earlier — the same issues that drive RWI claims years later. Mandate OloLand on insureds and your loss ratio improves at the underwriting front door, not in the claims back door.

Hours, not days

Exclusion-schedule drafting takes days.

OloLand outputs the structured risk register (300+ leaf-level checks) in your exclusion-schedule format, with cross-doc reconciliation surfacing contradictions across CIM, audited financials, tax returns, and management projections. The underwriting file builds itself as the rubric runs — and lives as the audit-defensible artifact when a claim hits.

Audit-defensible record

Claims defense three years post-close.

When discovery asks what you saw at binding, "the underwriter reviewed the diligence" is not an answer. OloLand's underwriting file is — every forensic flag, every source reconciliation, every exclusion rationale, with provenance to the original document. The record that survives the deposition.

Three Workflows

How RWI underwriters use OloLand.

Pre-bind diligence rubric

OloLand's structured risk register (300+ leaf-level checks) populated against the buyer's data room. Use it as the structured pre-read to the 90-min underwriting call. Identify gaps in buyer diligence — and which categories the buyer skipped — before you bind. Every gap is logged with the document it should have been in.

Forensic screen before binding

Beneish M-Score, Benford's Law, EBITDA bridge, journal-entry testing, and lapping detection run against audited financials and management workpapers. Earnings-manipulation signals that correlate with RWI claims surface before you bind, not three years later when discovery starts.

Underwriting file as the audit record

Reconciled numbers are cited to their source pages. Every exclusion has a rationale and an evidence link. The file persists in OloLand's deal record — not in a Slack thread or a shared drive — so when a claim hits years later, the binder is queryable and the rationale is intact.

Anthropic captures the session. OloLand captures the institution.

Your underwriting record across every deal you’ve bound — queryable, citable, audit-ready — not lost in Slack threads and shared drives. Run OloLand’s structured risk register (300+ leaf-level checks) and forensic battery against five of your in-flight policies. If loss-ratio metrics improve over the next six months, we discuss commercial terms.

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