Illustrative deliverable / 06 September 2026
Supplier onboarding.
From inbox to a reviewable decision.
This fictional example shows the format and level of reasoning in a Starter Blueprint. It is not a client case study, completed assessment, working integration, or measured outcome.
Decision status: investigate one dependency. Confirm whether the existing register supports a safe draft-write API before quoting a pilot. No platform or model has been selected.
01 / Problem and boundary
- Problem hypothesis
- The coordinator repeatedly checks supplier packs and retypes information. The amount of avoidable work is not measured yet.
- Scope
- One onboarding workflow, one shared inbox, and one existing supplier register. Two participants: the coordinator and approval owner.
- Baseline to collect
- Observe a representative set of complete, incomplete, duplicate, and exception cases. Record handling minutes, waiting time, rework, and error reasons.
- Excluded
- Payment decisions, bank-detail changes, legal/vendor due diligence, live data migration, and automatic supplier approval.
02 / The workflow
01
Receive
An operations coordinator receives a supplier information pack in a shared inbox.
02
Check
Required fields and attachments are checked against a written checklist.
03
Resolve
Missing or conflicting information returns to a person for clarification.
04
Approve
An authorized reviewer decides whether the record is ready to proceed.
05
Record
The decision and its source references are recorded in the existing register.
Exceptions return to the coordinator. A model suggestion never substitutes for approval, and failed writes never count as completed work.
03 / Options and recommendation
First: standardize intake
A required-field checklist may remove avoidable clarification without AI. Test whether the existing form can enforce it.
Then: automate deterministic checks
Detect missing fields, known identifiers, and duplicate submissions with rules. Confirm the register API and access model first.
Only if needed: assisted extraction
If useful information remains in varied documents, evaluate extraction into a draft with source references. Measure corrections and review effort.
Recommended next decision: a separately scoped technical check of draft writes and duplicate handling. If the integration is unsuitable, keep the register update manual rather than granting broader access.
04 / Controls and unresolved questions
- Access only the agreed inbox and relevant records, using a named service account with minimal permissions.
- Drafts require human review. No outbound messages, bank changes, payments, or supplier approval by the model.
- Confirm provider, endpoint, retention, training-use settings, storage, deletion, and subprocessors before sending real documents.
- Confirm API behavior, access rights, expected volume, available examples, support ownership, and the baseline before estimating a build.
05 / Draft acceptance checklist
These are proposed tests, not passed tests. There are no benchmark percentages or savings claims in this sample.
- Complete pack
- Draft the required fields with references to the supplied evidence. Leave approval to the reviewer.
- Missing or contradictory information
- Flag the exact missing or conflicting field. Do not fill it with a plausible guess.
- Restricted document
- Exclude records the user cannot access. Test this independently of model instructions.
- Duplicate input or integration failure
- Prevent duplicate writes; retain a visible exception and a safe manual recovery path.
- Instruction hidden in a document
- Treat document text as input data, not authority to send messages or change permissions.
- Outcome measurement
- Record handling time, rework, errors, and reviewer effort against the same baseline cases. Agree numerical thresholds before a build.