Implement a practical, school-owned AI governance system covering policy, privacy, safeguarding alignment, stakeholder training, pilot deployment, and ongoing governance cadence.
By project close, the Client will have:
- 01Living AI Policy v1.0 (online, versioned, school-owned — hosted on school LMS / intranet / SharePoint / Google Drive as agreed at kickoff)
- 02Named AI Policy Owner + Governance Panel
- 03Stakeholder training delivered (students, teachers, parents, admin, IT/compliance)
- 04Pilot deployment evidence + KPI baseline
- 05Incident response and policy update workflow with SLAs
- Readiness and Governance assessment (15 dimensions, two axes) plus Practice (5 dimensions)
- AI tool inventory (formal + informal use)
- Stakeholder sentiment and fear mapping
- DPO/compliance alignment briefing
- Baseline report
- Risk register
- Values/fear map (aggregated)
- Draft + review Living AI Policy v1.0
- AI Tool Approval Checklist
- DPIA Trigger Checklist
- Policy Incident Register template
- Governance decision-rights matrix
- Policy Pack v1.0
- Governance model + version-control protocol
- Student activities (K–1, 2–5, 6–8, 9–12)
- Teacher practical workshops
- Parent information session
- Admin/IT governance workshop
- Leadership/board briefing
- Training completions log
- Activity map + facilitator guides
- Communications templates
- Session recordings (live + async, 12-month access)
- Run approval workflow on at least 2 tools
- Activate incident logging process
- Equity audit for student-facing tools (framework: Algorithmic Equity Toolkit; conducted internally by IT + Learning Support; output: written findings + remediation recommendations)
- KPI dashboard baseline population
- Pilot report
- Policy refinements (v1.x)
- Governance calendar for Year 1
- Board/governor outcome briefing
- 90-day post-implementation checkpoint setup
- Year 2/3 progression plan kickoff
- Operating cadence pack
- Handover + ownership transfer checklist
- Appoint AI Policy Owner (0.1–0.2 FTE during 12-week period)
- Weekly leadership checkpoint (30 minutes)
- Workshop release time for staff (minimum 2 × 90-minute blocks)
- DPO/IT/legal review windows within agreed timeline
- Parent session communications support
- Legal advice / legal representation
- Tool procurement negotiation
- Full technical deployment/configuration of vendor platforms
- Bespoke curriculum design beyond included activity library
Delivery Tracks
Project is accepted when:
- ✓Living Policy v1.0 is published
- ✓Governance owner and panel are named
- ✓Training completion logs submitted
- ✓Pilot report + KPI baseline delivered
- ✓Final review meeting completed
Total fee: [£ / € / $ AMOUNT — fill on signature]
- Remote delivery: no travel fees
- On-site within 50 km of provider base: included
- On-site beyond 50 km: capped at [$ AMOUNT] per trip, requires written pre-approval
- International travel: quoted separately per engagement
Any scope changes require a written change order that defines:
- Additional deliverables
- Timeline changes
- Fee adjustments
- Approval signatures from both parties
- Client owns all final policy/governance artifacts.
- Provider handles data per contract and applicable regulation.
- Confidentiality survives project completion.
- Reference & Case Study Rights (opt-in): Client may grant Provider a non-exclusive right to reference this engagement in marketing materials, case studies, and public portfolio upon separate written consent. This clause is optional and does not affect project delivery or pricing.
- ●Policy published at school-owned URL
- ●Governance panel active
- ●≥80% staff complete role-based training
- ●Incident register workflow active
- ●At least 2 AI tools evaluated through approval framework
The following SLAs apply to AI-related incidents during and after the project term (if a post-handover retainer is in place). The school's AI Policy Owner is responsible for classification.
| Severity | Description | Internal Response | Resolution Target | Escalation |
|---|---|---|---|---|
| P1 — Critical | Data breach · safeguarding concern · AI-driven harm to a student | 24 hours | 72 hours | Executive / Board |
| P2 — Serious | Prohibited content · unapproved tool with student data · vendor failure | 72 hours | 2 weeks | AI Policy Owner |
| P3 — Minor | Policy non-compliance · staff misuse without data exposure | 2 weeks | Next review cycle | Governance Panel |
The following support tiers are available after project completion. All tiers are optional and quoted separately from the core engagement fee.
- 6-month + 12-month policy review session
- Regulatory scan (annual)
- Policy update to v2.0
- Everything in Tier A
- Quarterly Panel facilitation
- Tool re-evaluation cadence
- P1/P2 incident advisory support
- Everything in Tier B
- Annual staff training refresh
- Year 2/3 expansion roadmap
- Board reporting support
The following metrics are established at project close and tracked in Year 1. Baseline values are set during Phase 4.
| Metric | Definition | Target (Day 90) | Reporting Cadence |
|---|---|---|---|
| Staff training completion | % of eligible staff who completed all mandatory modules | ≥ 80% | Quarterly |
| Tool approval cycle time | Days from request submission to Panel decision | ≤ 21 days | Per approval |
| Incident log activity | Count of P1/P2/P3 incidents logged per quarter | Register active; P1 = 0 | Quarterly |
| Approved tool adoption | % of AI tool use that is from the approved list | ≥ 90% | Bi-annual |
| Governance Panel cadence | Quarterly meetings held on schedule | 4 / year | Annual |
| Policy version frequency | Number of policy versions published per year | ≥ 2 (bi-annual) | Annual |
| Parent trust indicator | % of parents who "trust the school to manage AI responsibly" (annual survey) | ≥ 80% | Annual |
| Risk | Mitigation |
|---|---|
| AI Policy Owner leaves mid-project | Deputy named at kickoff; knowledge transfer session held in Week 3; all decisions documented in shared governance drive. |
| Pilot tools fail approval workflow | Pre-vetted backup tool list provided at Phase 3 kickoff; pilot window can be extended by up to 2 weeks without change order. |
| Leadership checkpoint no-shows | Escalation path to Superintendent / board chair documented in Week 1; missed checkpoints logged as project risk; 2 consecutive misses triggers formal review. |
| Low staff training attendance | Make-up sessions scheduled within 2 weeks of each live block; async module option available in school LMS for all 4 modules. |
| Regulatory change during project | Provider monitors key regulatory sources bi-weekly; material changes trigger a policy review session within 30 days. |
| Scope creep / client expansion requests | All changes require written change order (§9). Provider will flag scope drift within 48h of identification. |