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Industries

Ordinary businesses. Unusually useful records.

Having lots of data is not what makes a company interesting to AI buyers. Having a hard-to-reproduce record of experts deciding, and of what happened next, is. Where that record lives differs by sector: a reviewer's correction in accounting, a failed reaction in a lab, a won or lost quote in freight. Each brief below covers the systems involved, the datasets AI teams value, and the rights questions to settle first.

  1. 01

    Categorization calls, reviewer corrections, reconciliation exceptions, and audit sampling decisions linked to final treatment: professional judgment alongside the ledger.

    Example: Transaction coding with reviewer corrections

    1. Bank or card line
    2. Initial coding
    3. Reviewer correction
    4. Close sign-off
    5. Later reclass
  2. 02

    Attorney assessments linked to rulings, firm-authored know-how with revision history, and expert-scored synthetic matters: structured legal judgment for AI evaluation.

    Example: Firm-owned know-how and its revision history

    1. Practice question
    2. Partner guidance
    3. Template and drafting notes
    4. Revision after a new rule or ruling
    5. Current house position
  3. 03

    Instrument output linked to analyst interpretations, QC dispositions, out-of-specification investigations, and failed reactions with the chemist's next decision.

    Example: Instrument output with analyst interpretation

    1. Raw instrument data
    2. Analyst interpretation
    3. Second-person review
    4. Reported result
    5. Disposition
  4. 04

    Process changes linked to metrology and yield, defect images with engineer classifications, and failure-analysis reports with root causes and corrective actions.

    Example: Process changes linked to metrology and yield

    1. Recipe change
    2. In-line metrology
    3. Electrical test
    4. Yield outcome
    5. Engineering disposition
  5. 05

    Quotes with win or loss, dispatch and load-matching decisions, exception handling, and freight claims through to resolution: priced judgment under time pressure, with outcomes attached.

    Example: Quotes and bids with win or loss

    1. Quote request
    2. Rate built
    3. Rep adjustment
    4. Negotiation
    5. Won, lost, or fell off
  6. 06

    Tickets linked to investigations, tool actions, resolutions, QA scores, and reopens: an operational decision trail that a transcript alone cannot supply.

    Example: Tickets with investigation and resolution

    1. Customer request
    2. Investigation notes
    3. Escalation or handoff
    4. Resolution
    5. Reopen or satisfaction

Other sectors

Not on this list? We assess other sectors case by case.

Structure matters more than sector. If your records connect an input to an expert decision to a real-world outcome, they are worth a confidential look, whatever your industry.

Sectors we also see

  • Manufacturing
  • Insurance
  • Healthcare-adjacent services
  • Construction & engineering
  • Property management
  • E-commerce & retail
  • B2B software
  • Recruiting & staffing
  • Automotive
  • Industrial distribution
  • Financial services
  • Energy & utilities
  • Specialized professional services