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Getting ready Published · 3 minute read · By Briggs Analytics

What AI buyers reject, and why

Seven reasons, and most are fixable. Fewer than three years of records. Records that were never in a system. Rights that are unclear because contractors never signed their work over. A customer list with nothing behind it. Customer contracts that forbid secondary use. Health or card data mixed into everything. And a migration that lost the archive. Below, each one and what to do about it.

Not enough history

Most enterprise buyers want three or more years; their headline figures start at ten. A two-year-old company is a snapshot. The fix is time, or a different buyer: the shut-down specialists and the code buyers take shorter records when the content is dense.

Never in a system

A business run from a notebook, a shared inbox and a spreadsheet has very little to license, however large and old it is, because nothing linked anything to anything. The fix is prospective: put the work in a system now, and in three years there is a record.

Unclear rights

Contractor code without an IP assignment is the most common reason a software deal stalls. Buyers ask, and "we assume so" is not an answer. The fix is a signed assignment, which most former contractors will provide for a modest fee, or scoping that code out.

Engraving illustrating what ai buyers reject, and why
Names, identifiers and anything under a restrictive contract are removed before anyone sees a record.

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A list with nothing behind it

A customer list on its own is restricted by privacy law and buyers of AI training data do not want it anyway. What they want is the work done for those customers. If the list is the only asset, there is nothing to license. Can I sell my customer database?

Restrictive contracts

Some master service agreements forbid secondary use of anything touching the customer. One buyer prices records under those contracts at zero. The fix is scoping: those customers' records come out and the rest proceed. MSPs, BPOs and agencies should read their three largest contracts before the first call.

Health or card data mixed in

Protected health information and card numbers are excluded, not scrubbed. When they are mixed into every record, as in some medical practices and some payment-heavy support desks, the scoped set shrinks. The fix is category-level scoping: the scheduling, billing and claims process without the chart.

A migration that lost the archive

Companies that changed systems and did not carry the history over get priced on what survived. The fix is often the old vendor: most keep backups for 30 to 90 days after cancellation, some for years, and a re-activated account for one month usually restores the export. Why years matter more than people.

In short

  • Seven reasons buyers pass: thin history, no system, unclear rights, a bare list, restrictive contracts, mixed-in health or card data, a lost archive.
  • Most are fixable by scoping, a signed assignment or a call to the old vendor.
  • A different buyer type often fits where the enterprise buyers do not.
  • Every company that fills in the two-minute check gets checked against every type.

Questions owners ask.

Will Briggs Analytics tell me if nobody fits?

Yes, within two business days, and it costs you nothing. No introduction is made to a buyer that will pass.

We have two of these problems.

Most companies have one or two. Scoping handles contracts and mixed data; time or a different buyer handles history. Take the check and see.

Does a rejection hurt later?

No. Buyers refresh their priority lists monthly and a company that did not fit in one quarter sometimes fits in the next.

Briggs AnalyticsWe introduce business owners to the buyers that license company records. We never see your data. Philadelphia, PA.