P_00014 — High-volume multilingual quote requests require language normalization

One testable operational mismatch: more than 100 quote requests per day arrive in multiple languages, while quote creation requires language-normalized input.

Problem ID	Name	Solution IDs	Statement type	Status
P_00014	High-volume multilingual quote requests require language normalization	S_00006	founder_instinct	approved

kind: problem_catalog
schema_version: 1
problems:
  - id: P_00014
    solutionsIds:
      - S_00006
    priority: 55
    name: 'High-volume multilingual quote requests require language normalization'
    status: approved
    statement_type: founder_instinct
    applies_to_icp_ids: []
    situation: >-
      A company receives more than 100 quote requests per day across multiple
      languages, and its quote-creation workflow requires language-normalized
      input.
    operational_mismatch: >-
      Quote requests arrive across multiple languages and cannot enter the
      quote-creation workflow in directly usable form until their language is
      normalized.
    possible_consequences: []
    observable_signals:
      - 'The company receives more than 100 quote requests per day.'
      - 'Quote requests arrive in multiple languages.'
      - 'Incoming requests require language normalization before quote creation can use them directly.'
    disconfirming_signals:
      - >-
        The current quote-creation workflow directly accepts a representative
        set of requests across the languages received by the company without a
        language-normalization step.
      - >-
        A representative daily set exceeding 100 requests enters quote creation
        in directly usable form without language normalization.
    confirmation_questions: []
    evidence_requirement: >-
      A representative daily set exceeding 100 quote requests across the
      languages received by the company, the input requirements of the current
      quote-creation workflow, and an observation of whether each request can
      enter that workflow directly without language normalization.
    evidence_ids:
      - EV_MULTI_007
    prohibited_claims:
      - 'That staff manually translate, rekey, route, delay, or misprice quote requests.'
      - 'That an LLM or AI supports every language.'
      - 'That AI translates or creates every quote accurately.'
      - 'That automatic price calculation is immediate or correct without validation.'
      - 'That language normalization makes quotes faster to send without a measured baseline.'
      - 'That the current workflow has a 5% error rate.'
      - 'Any quantified improvement in quote throughput, turnaround, accuracy, or labor.'

Scope notes

This record declares no vertical scope. Its situation requires more than 100 quote requests per day, requests arriving in multiple languages, and a quote-creation workflow that requires language-normalized input. Audience selection must test those conditions rather than infer applicability from an industry, market, persona, or proposed AI mechanism.

The supporting contribution began as a seller observation and was subsequently bounded in EV_MULTI_007 as Gabriel Paunescu's report of buyer interviews covering more than 25 production customers collectively spanning all seven current verticals. Exact account identities, interview dates, observation period, and daily-volume measurements were not supplied.

This mismatch is materially distinct from P_00007. That approved record says a person must interpret and enter information from unstructured communication. This record makes no claim that staff translate, rekey, route, delay, or misprice requests; it concerns the requirement for language normalization at a confirmed request-volume threshold. P_00007 remains unchanged under W13.

Outstanding

1. possible_consequences is empty. Three-times-faster sending is reported in EV_MULTI_007, but exact prior and observed durations, aggregation method, and calendar period were not supplied, so it was not promoted as a problem consequence.
2. solutionsIds reaches approved S_00006. The linked solution preserves one reviewed quote draft per request and adds configured uploaded intake, multilingual language normalization, and batch handling. Those configured capabilities remain unverified through MCP, and S_00006 has no eligible proof reference.
3. evidence_ids resolves to EV_MULTI_007. The evidence records Gabriel Paunescu's report of buyer interviews across more than 25 production customers and a 1,000-quote multilingual batch. The raw database records, exact dates, account identities, and daily-volume measurements were not supplied or inspected.
4. confirmation_questions is empty. W8 has not created a bounded Q&A record for account-level confirmation.
5. The 5% mismatch figure is solution/proof input. It is a buyer-accepted maximum of 50 mismatched complete quotes in a 1,000-quote batch, where any required-field mismatch fails a quote against real database values. It is excluded from the problem mismatch and is not an independently verified observed error rate.