Intended use
What operational decision or deliverable does the output support, and what must the automation never decide?
DefinedWe use automation inside a controlled operating path. The proposal names the inputs, environment, acceptance test, people, evidence, and exclusions before confidential work begins.
A useful scope can answer six questions without technical theater. If it cannot, the workflow is not ready to automate.
What operational decision or deliverable does the output support, and what must the automation never decide?
DefinedWhich systems, files, versions, and data classes are permitted, and who can authorize them?
NamedWhich representative examples, measures, exception rules, and reviewer checks determine whether the output is usable?
MeasuredWho can edit, reject, approve, release, escalate, and stop the workflow?
AssignedWho owns installation, access, support, incident handling, change control, retention, and exit?
RecordedWhich data, systems, roles, decisions, and outcome claims stay outside the engagement?
VisibleThe second phase is not optional polish. It is where the output is checked against the source, failures are classified, and unclear items are held for a person.
Retrieve approved information through an authorized API, import, or controlled front-end route.
Connect extracted fields and generated material to the target structure and source location.
Test representative output against agreed criteria and record error types and limits.
Send exceptions, conflicts, and uncertain items to the named reviewer before use.
We can assess open-source-capable, client-controlled cloud, on-premises, or hybrid options. The label alone says nothing about privacy, security, compliance, validation, or support quality.
Scope tenancy, access, model/provider terms, data location, logs, retention, support, and client operations.
Assess infrastructure readiness, installation, updates, identity, observability, backups, incident roles, and exit planning.
Evaluate model and component licenses, maintenance, performance, security updates, hardware, and the evidence required for the intended use.
Provenance means the source, version or date, source location, transformation, exception history, reviewer, and approval state can be inspected. The exact completeness and retention rules are part of the scope.
Illustrative output record
We will not convert an architecture preference into an outcome promise.
Not by itself. Privacy depends on the actual data flow, access, model use, storage, support, retention, deletion, and incident responsibilities agreed for the engagement.
Yes. AI use is task-specific and requires client permission. A non-AI route can remain available when the material or environment requires it.
No. Accuracy is measured against an agreed test set and reported with limits, error types, and exceptions. Fitness for use remains an engagement-specific client decision.
No. Intended use, the complete system, procedures, validation evidence, access, records, operations, and accountable client roles determine which requirements apply and whether they are met.
The proposal names the client owner and any qualified reviewer required. Durability can prepare and coordinate; business, professional, and regulated decisions remain with the assigned people.
We define the source set, intended use, environment, acceptance test, review path, operating responsibilities, and exclusions before proposing a build.