Product account closure journey planner

For subscription product teams, turn approved retention rules and product behavior into reviewed account closure specification. Address this specific problem: closure flows omit data and permission dependencies. The aim: complete user journey beyond cancellation clicks. The pilot tests whether that benefit holds up against reviewer effort and real operating costs.

The buyer creates a project, supplies approved retention rules and product behavior, and confirms scope and access. Users correct extracted facts, resolve flagged uncertainties and approve the final reviewed account closure specification before use. Retain source links and a version history for the next cycle.

How the AI works

AI assists these bounded tasks: map closure steps; flag unresolved data states; draft user explanations. Use only approved retention rules and product behavior and preserve uncertainty in reviewed account closure specification. Keep model suggestions separate from verified facts. Link factual outputs to authorized input evidence and show missing information explicitly. Use deterministic checks for counts, dates, identifiers and arithmetic where applicable. A designated reviewer validates consequential outputs and signs off the delivered result.

Safeguards

Use consented research and preserve contradictory evidence. Separate observed user behavior, proposed explanations and untested product assumptions. One organization, one defined input format and one representative pilot batch using approved retention rules and product behavior. Professional judgment, physical inspections, live external actions and production certification remain outside this prototype. Require appropriate access and publication approval. Preserve source material, label AI drafts and make corrections traceable. Measure false positives and missed cases alongside speed.

What to build first

Costed pilot: One organization, one defined input format and one representative pilot batch using approved retention rules and product behavior. Professional judgment, physical inspections, live external actions and production certification remain outside this prototype. Start with one buyer organization and a bounded set of representative inputs. Implement the first two modules: map closure steps; flag unresolved data states. Support the third task through an assisted review queue: draft user explanations. Handle the remaining required functions manually until validated. Include input upload, source references, user correction, a reviewer approval step and export of reviewed account closure specification. Authentication, account isolation, deletion controls and basic operational logging are included. Specialized production certification, live write integrations and broader rollout are not included unless explicitly stated.

What it can connect to

Product feedback, authorized interviews, usage exports and requirement records. Read-only operational exports, calendars and finance or inventory records as relevant. Start with plan exports and retain human approval for execution. Begin with uploads and exports of approved retention rules and product behavior. Any named system or connector is a candidate requiring current access and compatibility checks; no live connection is included by default.

The screens in detail

Place editable drivers and constraints beside a clearly labeled scenario output. Include a baseline view, comparison chart or schedule, and an assumptions history. Let users trace a proposed quantity or date back to its inputs. Keep forecasts distinct from actual results. Open with brief and sources; move into product account closure journey planner for the detailed task; finish in review and delivery for review and handoff. Show the source record, uncertainty and approval status beside each proposed output.