Frameworks

Apply AI-readiness frameworks to score and contextualise the audit findings.

What this is

The frameworks step maps the AI analysis findings onto one or more structured AI-readiness models, producing scored assessments across capability dimensions such as data maturity, technology infrastructure, talent readiness, and strategic alignment. Framework scores give clients a benchmark reference and appear as visualisations in the deliverables.

Before you start

• Analysis must be complete and have at least some confirmed findings.
• Review the available frameworks in the step. Audity includes a default AI Readiness Framework and may include industry-specific variants depending on your plan and the client profile’s industry setting.
• You can apply multiple frameworks to the same project, but each adds to the deliverable document length.

Procedure

1. Open your project and click Frameworks in the lifecycle stepper.
2. The Recommended frameworks panel shows which frameworks are most appropriate based on the client’s industry and the analysis findings.
3. Select the framework(s) you want to apply by toggling them on.
4. For each selected framework, review the Dimension pre-fills: the AI has mapped findings to framework dimensions automatically. Adjust any scores or mappings that do not match your judgement.
5. Add Consultant notes to any dimension that needs qualification or context the AI did not capture.
6. Click Apply frameworks.
7. The Scores summary panel updates with radar charts and dimension breakdowns.

If you disagree with an AI-mapped score, adjust it before clicking Apply. Your override is recorded and will appear in the final report as the consultant’s assessment rather than the AI’s raw score.

Limits and gating

• Framework scoring requires at least one completed analysis run.
• Solo plan: One framework per project.
• Team / Enterprise: Up to 3 frameworks per project simultaneously.
• Framework dimension adjustments do not consume additional credits.

Common issues

No frameworks appear in the recommended list. The client profile industry may not have been set, or the analysis produced no findings. Check both and re-run analysis if needed.

Scores seem too high or too low. Framework scores are seeded by AI confidence levels from the analysis findings. If the input data was sparse, scores will cluster toward the middle. Adding more interview or document data and re-running analysis improves score accuracy.

“Apply frameworks” does nothing. At least one framework must be toggled on. Check that you have selected a framework before clicking Apply.

Consultant notes are not appearing in deliverables. Notes are included only in the final report and stakeholder memos, not in the visualisation charts. This is expected behaviour.

What’s next

Calculate ROI projections to add financial grounding to the framework findings.