Decision brief A: buy information before buying a platform
Northstar learning edition v1.2 — authored fictional reference decision. Date: 2026-01-09 · Prepared: Avery Chen (ORG-14) · Decision owner: Jordan Reed, Investment Council (ORG-13). Evidence cutoff: E-001–E-007. No later readiness or performance is used.
Recommendation
Authorize the first $15k diagnostic inside a conditional A1/R1 envelope of $150–300k. Release no more than $75k cumulatively for preparation until a readiness decision, and no more than $300k overall. Only the first $15k is released now. Preparation and operational spending require subsequent named human release decisions; the envelope is not an automatic authorization to spend. Record DEC-001 with those conditions. Record DEC-002 deferring enterprise procurement. Keep A4 targeted integration in contention.
This is a bounded learning commitment, not an ROI claim. Present evidence establishes unreliable definitions and plausible operating constraints. It does not show whether policy, source quality, scheduling capacity, or automation is the dominant limiting condition.
Why this is worth investigating
E-001/E-003 connect unreliable commitments to the customer state in VS-01/ST-02. C-110 depends on scheduling and part-status signals from C-130/C-140, with BO-02/BO-05/BO-06 meaning governed through C-180 and measurement through C-170. This is a proposed decision-relevant trace, not proof of causation.
A0 can repair the baseline but does not test the operating practice. A2 exposes more branches before the design is understood. E-004 establishes only demonstrated functionality for A3. A4 may be cheaper and should win if reliable source states and an avoidable manual bottleneck are the principal constraints.
The $27–54k 90-day exposure scenario in E-005 is unvalidated. It supports urgency for a cheap diagnostic, not a fabricated return on $300k. Full release cost includes internal and branch labor; peak FTE does not replace total effort.
| Uncertainty | Cheapest useful check | What changes the decision |
|---|---|---|
| Reservation meaning and freshness | Reconcile actual events and status transitions | If reliable and dominant, compare A4 directly; if unusable, fix meaning/control before automation |
| Manual burden | Time real confirmation/exception work | If an operating test cannot run safely within capacity, redesign or stop |
| Promise performance | Reconcile original/revised/cancelled cohorts | If the apparent gap is measurement only, prefer A0 and do not fund a broad test |
| Local authority/capacity | Test rural scenarios and named exception rights | If geography/skills dominate, target capacity rather than promise software |
| Useful learning | Predefine how test results change the next action | If outcomes cannot discriminate options, do not release the full envelope |
Conditions, authority, and confidence
Priya Shah owns policy and operating outcomes; Supply and Information Governance must resolve BO-05 meaning/source status; Morgan Ellis approves definitions and cost. Before activation: agreed denominators, baseline, original-promise/restoration balancing measures, selected branches, safe capacity, readiness, and stop/rollback routes.
Confidence: Medium in funding a short diagnostic; Low in any present claim about platform value or enterprise repeatability. Stronger source reconciliation could favor A0/A4 or a smaller test. Unacceptable delay harm or infeasible manual controls could change the sequence.
Recorded fictional disposition: Jordan Reed accepted DEC-001/DEC-002 on January 9 with Morgan Ellis's cost conditions and Priya Shah's operating sponsorship. This reference path does not imply that every defensible learner must recommend A1.