Decision-based learning paths

Software Assurance Playbooks

Move from intended use to a defendable release and continued-assurance decision without reducing the work to a generic checklist.

Choose the system context

Three practical routes through the same assurance lifecycle

Each playbook keeps common reasoning consistent while exposing the evidence and failure modes that are distinctive to its technology.

PRACTITIONER METHOD

SaaS Assurance Playbook

A practical route from intended use and supplier evidence to release impact, local testing, and continued assurance for software you cannot freeze.

  1. Intended Use
  2. Supplier Assessment
  3. Configuration Risk
  4. Data Integrity
Open the Playbook
PRACTITIONER METHOD

AI Assurance Playbook

A controlled path from context of use and human authority to evaluation evidence, release boundaries, monitoring, and stop conditions.

  1. Intended Use
  2. AI Role
  3. Human Oversight
  4. Failure Modes
Open the Playbook
PRACTITIONER METHOD

Spreadsheet Assurance Playbook

A proportionate method for deciding when a spreadsheet matters and how to control formulas, data, use, change, and retirement.

  1. Intended Use
  2. Complexity
  3. Data Inputs
  4. Calculation Risk
Open the Playbook
Reusable decision model

Practical assurance lifecycle

Move from the actual use to the evidence needed for release and continued assurance. Each stage opens the most relevant guide, framework, or tool.

  1. 01Intended Use
  2. 02GxP Impact
  3. 03Failure / Risk
  4. 04Controls
  5. 05Evidence Needed
  6. 06Testing Approach
  7. 07Release Decision
  8. 08Continued Assurance