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Specialist profile 3.8
Defined assisted scope

Software Quality & AI Evaluation

Define what good behavior looks like and assess the evidence.

Analysis, planning & review

Current assisted scope

What does Software Quality & AI Evaluation cover?

Current scope is software QA and AI behavior evaluation. A recommendation is not proof of production acceptance or permission to release.

Possible deliverables

  • Evaluation criteria
  • Functional and behavioral findings
  • Readiness recommendation

Bring these inputs

  • Release candidate
  • Acceptance criteria
  • Test and evaluation evidence

What needs human review?

Before implementation or release, have the responsible technical owner review security, testing, access, and rollback plans.

Understand the review process →

Related perspectives

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3.1Defined assisted scope

AI, Software & Systems Engineering

Solution Architecture

Design software boundaries that fit the surrounding systems.

Current scope

Current scope is software integration fit and software extension architecture. Recommendations do not approve changes to shared systems.

Possible deliverables
  • Architecture options
  • Reuse and dependency assessment
  • Interface and responsibility map

Analysis, planning & review

3.2Defined assisted scope

AI, Software & Systems Engineering

AI Agents & Workflow Automation

Design agent workflows with clear responsibilities and review points.

Current scope

Current scope is agent and workflow design, including contracts and recovery. This profile does not run a live agent service or activate workflows.

Possible deliverables
  • Workflow specification
  • Approval and permission map
  • Failure and recovery plan

Design & specification

3.3Defined assisted scope

AI, Software & Systems Engineering

Machine Learning Engineering

Plan reproducible model experiments before production decisions.

Current scope

Current scope is sandbox experiment and benchmark design. Dedicated model training, fine-tuning and production deployment are not established here.

Possible deliverables
  • Experiment hypothesis
  • Benchmark and scenario plan
  • Reproducibility record

Analysis, planning & review