At a glance
AI assistance should prepare a bounded draft or recommendation from authorised context, show the relevant source state and wait for a named person to review consequential work. Spectra documents that intended pattern; it does not claim a working AI feature.
01 / Trigger and problem
Use assistance where preparation is repetitive and review is meaningful.
A sensible trigger is a bounded request such as summarising a job exception, preparing a draft follow-up or flagging missing fields before a hand-off. The problem is repeated context reconstruction—not that people make decisions.
Spectra’s AI and voice ideas are planned concepts. This website does not run a model, listen to a microphone, send messages, change a job, create an invoice or act in a production system.
02 / Inputs, owner and output
A draft needs authorised context and a named reviewer.
The input should be the minimum permission-scoped job context needed for the task: current stage, relevant notes, approved scope, open exception and source freshness. A named coordinator reviews the result. The output is a labelled draft or recommendation with sources and uncertainty—not an executed action.
| Step | Responsible owner | Concrete output |
|---|---|---|
| Choose task and authorised context | Workflow owner | Bounded request and allowed fields |
| Prepare candidate | Planned assistant | Draft, summary or missing-data flag |
| Check accuracy, tone and authority | Named human reviewer | Approved, edited or rejected result |
| Execute outside the concept | Authorised application user | Auditable action only in a verified system |
03 / Fictional process artefact
The human stop is part of the deliverable.
This is a fictional vehicle graphics example. A coordinator asks for a follow-up draft after the fitting team records that rear doors were unavailable. A planned assistant could summarise the exception and prepare neutral wording. The coordinator must compare it with the approved scope before deciding whether to edit, reject or send it through an authorised system.
04 / Current state
The guardrail pattern is documented; AI execution is not live.
The site implements explanatory pages and demonstrates a sample job context. The proposed draft-review interaction is a concept. Model processing, voice capture, production permissions, action execution, evaluations and monitoring remain planned and must not be treated as available capabilities.
| State | What exists | What does not follow |
|---|---|---|
| Implemented on this website | Published boundary and evidence routes | No AI service or product account |
| Demonstrated | Fictional job context and review pattern | No model output or automated action |
| Planned | Drafting, voice and authorised action support | No availability, accuracy or delivery commitment |
05 / Prerequisites and failure path
Do not connect a model before the controls can stop it.
A production evaluation needs tenant and role boundaries, an approved provider contract, data minimisation and retention rules, prompt and output handling, task-specific evaluations, audit events, cost and latency monitoring, and a safe refusal or manual route. High-impact or low-confidence requests must stop for human review.
- No unrestricted production database credential or arbitrary generated query
- No customer contact, invoice, production release or destructive change without authorisation
- Source state and missing context visible to the reviewer
- Prompt injection, unsafe input, provider failure and duplicate-action tests
06 / Fit, limits and next action
Evaluate one low-consequence task before discussing automation.
The concept may fit a team with a repeatable preparation task, clean permission-scoped data and an accountable reviewer. It is not a fit for autonomous quoting, unsupervised customer communication, employment judgement, safety decisions, unrestricted database access or any buyer who needs a live AI feature today.
Review the evidence and security boundary first. If the limitations are acceptable, bring one redacted task pattern to a workflow conversation; the honest next output is an evaluation brief, not an activation promise.