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The eleven categories

The eleven categories every policy maps into, including subjects and relationships, and how a real policy passage lands in each.

Policies are written for people: paragraphs, bullet lists, exceptions in footnotes. To turn one into a pack, the drafting assistant first sorts every material passage into eleven shared categories. The same eleven work for any department: support triage, contract review, hiring, approved marketing claims, refunds, sales qualification.

Sorting a passage into a category organizes it for review. It doesn’t by itself make Felspar enforce it. The categories show the reviewer that nothing in the policy was skipped, and an empty category is a question to ask, not proof it doesn’t apply.

Category Ask of the policy Becomes in the pack
Actors Who decides, acts, owns or receives this? The accountable owner, review lanes, who a next step routes to
Decision criteria What conditions select an outcome, including exceptions? Rules and their order
Source signals Which observations and sources does this job use? Evidence kinds, “where to look”
Needs and requirements What facts, definitions and prerequisites are required? Questions, answers, inclusions, exclusions, examples
Evidence and proof What supports a claim, and when is evidence eligible? Accepted source classes, maximum evidence age
Boundaries What must never happen, or needs approval? Outcomes that stop or escalate, gate rules on actions
Output contracts What must a produced result contain or exclude? Outcomes and their next steps
Routing jobs Which job and destination apply? The job, next steps that name a team or lane
Gaps What is unknown, contradictory or undecided? “None of these” answers, policy-gap lanes, findings for the owner
Evaluations Which checks and examples define acceptable behavior? Test cases
Subjects and relationships What is one case about, and which other records relate to it? The job’s subject, how its ID is written and matched, and its relationships

A passage can belong to several categories. “The message must never guarantee returns” is both an output contract and a boundary.

The eleventh category, subjects and relationships, was added last. A mapping written before it has no entry for it and stays valid.

Tagging what a passage actually says

  • “For a trial, return the pilot offer” is decision criteria plus output contracts. Add routing jobs only when it names a job or destination.
  • A definition, inclusion or exclusion is needs and requirements. “Synthetic excludes anonymized production records” defines a term; it doesn’t ban anything. Add boundaries only for an explicit ban or approval condition.
  • Evidence eligibility (“use records younger than 30 days”) is evidence and proof, plus source signals when it names sources. It becomes an evaluation only with an expected behavior (“a 31-day-old record must come back as missing evidence”).
  • Missing authority, contradictory clauses and unclear owners are gaps. Name the conflict; don’t rewrite the policy as if it said something else.
  • “A ticket is one request a customer sends to the help desk” is subjects and relationships: it says what a case is. “Each contract is filed under one matter” is too: it names a relationship. Who reviews or approves is still actors, and the job itself is still routing jobs.
  • “A held ticket goes to human review” is routing jobs plus gaps. In the pack it becomes a named escalation, such as human-review.

The same categories in other work

Category Support triage NDA review Candidate screening
Subjects and relationships A ticket, and the customer who sent it A contract, its counterparty company and its matter A candidate, and the requisition they applied to
Decision criteria Which team a request type goes to Which governing-law and term combinations can be signed Which must-have qualifications advance a candidate
Evidence and proof The ticket thread and the account record The contract text and a sanctions registry entry The resume and the application form
Boundaries Never promise a refund date Never sign with a sanctioned affiliate Never screen on a protected characteristic
Gaps A request type the policy doesn’t list A governing law the playbook doesn’t mention A qualification the posting doesn’t define

A real policy, mapped

Here is how the fictional Fernwood Payments ideal-customer policy maps into the eleven categories.

Category Fernwood passage In the pack
Actors “A person on the sales operations team reviews the page and decides within two business days.” The conflicting-signals review lane routes to sales operations
Decision criteria “A payments API whose main user is software teams is a Platform Builder.” Rule platform-builder: offering = payments_api and main_user = software_teams gives platform_builder
Source signals “Open the domain’s root address and read the first screen and the footer.” Where to look for page_kind; evidence kinds company-site and outside-source
Needs and requirements “Payments API. Building blocks for money movement that other companies put inside their own product. Counts: API, SDK, embed…” Answer payments_api with its meaning, inclusions, exclusions and example
Evidence and proof “Use evidence no older than 90 days: a web page counts from when it was read, a record from its last update.” Maximum evidence age of 90 days, and how observedAt is set
Boundaries “Nobody contacts a prospect because of a classification alone.” and “Record the reason and do not contact the company.” not_a_fit stops outreach; the pre-action gate allows an email draft only for fit outcomes
Output contracts “Route to the platform sales team within one business day and offer a sandbox key.” The next step returned with platform_builder
Routing jobs “Classify one prospect company, identified by its website domain, into exactly one outcome.” The job classify-prospect, one entity per domain
Gaps “Another financial product… is a policy gap; send to the policy-gap review lane.” “None of these” answers route to review_policy_gap instead of a guess
Evaluations “The address for ‘Corvid Labs’ shows a page for Corvid Roofing.” Test case namesake expects review_wrong_site
Subjects and relationships “Classify one prospect company, identified by its website domain, into exactly one outcome.” Subject company, identified by its web domain and matched without case, so Tidewell.example and tidewell.example are one case

Notice what the mapping does with uncertainty. The policy says what to do when a company sells “another financial product” or speaks to “other users”: send it to a person. The pack keeps that as an outcome, so an agent never guesses its way past the edge of the policy.

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