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Signals. Insights. Growth.
A sig.ai offering

Buy the cash flow without losing the seller's operating brain.

TransferOS helps buyers of owner-dependent SMBs reconstruct how the business actually runs from real cases, records, and targeted seller corrections. We start with Key-Person Diligence: a Pre-Close Read when findings can still shape the deal, or a First-90 Audit after close.

Analytics dashboard representing operating evidence reviewed during TransferOS Key-Person Diligence

The audit funnel

1

Qualified buyer applies

2

Data-rights path is confirmed

3

Pre-Close or First-90 route is selected

4

Metadata frame is shared

5

Representative cases are reconstructed

6

Seller/operator corrects specific claims

7

Recommendation: reconstruct, memo, expand audit, or decline

The hardest part is often the handoff.

A buyer can inherit employees, customers, systems, contracts, and cash flow while still missing the seller's judgment: when to discount, which customer gets special handling, why a vendor is trusted, or when the owner quietly intervenes.

Operating knowledge map

From scattered records to corrected claims

Illustrative - not a live audit.

Audit view

Records

Jobs, invoices, notes

Cases

Representative examples

Claims

Source-linked rules

Correction

Seller/operator review

Pricing exceptions

Correction required

Evidence source: Estimate + invoice deltas

Evidence density

42%

Owner dependence

88%

Customer handling

Needs case review

Evidence source: CRM notes + messages

Evidence density

58%

Owner dependence

76%

Vendor trust rules

Thin evidence

Evidence source: POs + job history

Evidence density

35%

Owner dependence

69%

Owner escalations

Do not serve yet

Evidence source: Tickets + call metadata

Evidence density

24%

Owner dependence

94%

We reconstruct the business from evidence, not memory.

The system is intentionally gated. The audit can say no.

Data-rights check first

Authority, scope, retention, deletion, and stakeholder permissions come before any sensitive data work.

Metadata before content

We request a low-sensitivity metadata frame first, then request deep content only for selected cases.

Cases before workflows

Real jobs, quotes, invoices, complaints, schedules, and messages become the reconstruction unit.

Correction, not approval

Sellers and operators correct specific claims, thresholds, exceptions, roles, and effective dates.

First wedge

Key-Person Diligence

The first paid read determines whether the business has enough evidence and enough owner-dependent judgment to justify deeper reconstruction. Use Pre-Close Read before close, or First-90 Audit after close.

Start fit check

What it includes

Data-rights review before sensitive records

Evidence-density and residual-judgment scoring

Representative case selection

Sample case reconstruction

Owner-dependency and knowledge-gap map

Pre-Close Read, First-90 Audit, Transition Risk Memo, expanded audit, or decline recommendation


The audit is not legal, tax, valuation, quality-of-earnings, broker, or HR advice. It is a reconstructability and transition-risk assessment.

Answer-ready summary

TransferOS answers the buyer's key-person handoff questions.

These are the questions a buyer asks under LOI, near close, or during the first 90 days when the seller is still the memory layer for the business.

Can this business run without the seller?

TransferOS tests where pricing, scheduling, customer exceptions, rework, vendor trust, and escalation decisions still depend on the owner.

Do we have enough evidence to reconstruct how decisions are made?

The diligence read checks job records, invoices, CRM notes, dispatch metadata, tickets, spreadsheets, and representative cases before recommending deeper work.

Which operating claims are safe to rely on?

Claims need source references, risk classification, confidence scoring, and targeted correction before they can become serve-eligible.

Best-fit pilots

We are prioritizing two buyer moments: under-LOI or near-close buyers who can still price the key-person risk into the deal, and first-90-day buyers who need rights-clean transition execution. Sensitive records still wait for data-rights review.

Under-LOI, near-close, or first-90-day buyer with a real owner-dependency concern

Owner-dependent workflows such as pricing, scheduling, complaints, rework, and customer exceptions

Usable records in job systems, accounting, CRM, dispatch, email, tickets, or spreadsheets

Seller or operator available for targeted correction

Clean data-rights path and willingness to start metadata-first

For advisors and referral partners

TransferOS helps your buyers reduce key-person surprise before or just after close without replacing brokers, M&A advisors, attorneys, lenders, accountants, or QoE providers. Introduce us when the buyer is worried that the seller is still the business.

Refer a buyer

No sensitive data before the data-rights check is complete.

TransferOS starts with authority, scope, retention, deletion, and access boundaries. We do not request full mailboxes, call recordings, payroll, or broad employee files in the application. Call recordings and transcripts are off by default unless consent at the point of recording is documented and approved.

TransferOS FAQ

Short answers for buyers, search fund operators, advisors, and referral partners.

What is TransferOS?

TransferOS is a sig.ai offering for buyers of owner-dependent small businesses. It reconstructs how the business actually runs from real cases and records, then uses targeted seller/operator correction to determine whether full reconstruction is viable.

Who is TransferOS for?

TransferOS is best for under-LOI, near-close, or first-90-day buyers, search fund CEOs, independent sponsors, holdcos, and advisors working with owner-dependent services businesses where operating judgment still lives with the seller.

What is the first TransferOS offer?

The first offer is Key-Person Diligence: a Pre-Close Read when findings can still shape the deal, or a First-90 Audit after close. Both start with data rights, evidence density, residual owner judgment, and sample reconstructability.

How is TransferOS different from an AI SOP generator?

TransferOS does not invent generic procedures. It builds source-linked operating claims from real evidence, then asks sellers and operators to correct specific claims before a buyer relies on them.

What data does TransferOS request first?

TransferOS starts metadata-first. It does not request sensitive records before the data-rights review confirms authority, scope, retention, deletion, and access boundaries.

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Where data engineering meets AI: turning your signals into insights, your insights into growth.


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