Redacted sample · not a client file

AI Adoption Assessment — illustrative report extract

Names, company, and numbers below are placeholders. They show structure and tone—not a guarantee of outcomes. Real reports include interview and survey evidence from your organisation.

1. Executive summary

[Client Co.] self-assessed at Stage 1 on the free check; team evidence validated Stage 1 (capped) until approved-tool and review rules exist for client-draft workflows. Recommended decision: proceed with one quick win (post-meeting follow-up draft + mandatory approve-before-send) and pause customer-facing automation on personal AI accounts.

2. Self-assessment vs validated stage

Free checkAssessment
StageStage 2 (self)Stage 1 (validated)
Evidence1 respondent7 interviews + survey n=42

3. Opportunity matrix (excerpt)

Safeguard gate: OK · Review required · Stop until policy/tooling

ID Opportunity Quadrant Safeguard gate
O1 Draft follow-up email from meeting notes Quick win Review required
O2 Auto-sync CRM fields from call transcript Strategic Stop until policy
O3 Internal FAQ bot on policy library Fill-in Review required

4. Indicative ROI (mid scenario · placeholder)

O1 only: ~[120] hours/year saved across [3] AEs at [60%] adoption → [S$18k–24k] indicative value (client-validated assumptions). Revenue uplift shown separately when time shifts to selling, not cut.

5. Workshop outcome

Leadership agreed O1 for days 0–30, policy review for CRM automation (O2), and explicit “no shadow AI on client PII” until IT approves tools. Dissent noted: sales wanted faster CRM sync—deferred.