Statement of Work

K–12 AI Governance & Safety Program

Living Policy Model

Client
[SCHOOL NAME]
Provider
Togno Labs S. A.
Version
1.0
Date
2026-03-20
Term
12 weeks (+ optional annual renewal)
1 — Purpose

Implement a practical, school-owned AI governance system covering policy, privacy, safeguarding alignment, stakeholder training, pilot deployment, and ongoing governance cadence.

2 — Objectives

By project close, the Client will have:

3 — Scope of Work
Phase 1 — Discovery & Baseline Weeks 1–2
  • 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
Deliverables
  • Baseline report
  • Risk register
  • Values/fear map (aggregated)
Phase 2 — Policy Sprint Weeks 3–5
  • Draft + review Living AI Policy v1.0
  • AI Tool Approval Checklist
  • DPIA Trigger Checklist
  • Policy Incident Register template
  • Governance decision-rights matrix
Deliverables
  • Policy Pack v1.0
  • Governance model + version-control protocol
Phase 3 — Onsite Training & Enablement Weeks 6–7
  • Student activities (K–1, 2–5, 6–8, 9–12)
  • Teacher practical workshops
  • Parent information session
  • Admin/IT governance workshop
  • Leadership/board briefing
Deliverables
  • Training completions log
  • Activity map + facilitator guides
  • Communications templates
  • Session recordings (live + async, 12-month access)
Phase 4 — Pilot Deployment Weeks 8–10
  • 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
Deliverables
  • Pilot report
  • Policy refinements (v1.x)
Phase 5 — Institutionalization Weeks 11–12
  • Governance calendar for Year 1
  • Board/governor outcome briefing
  • 90-day post-implementation checkpoint setup
  • Year 2/3 progression plan kickoff
Deliverables
  • Operating cadence pack
  • Handover + ownership transfer checklist
4 — Internal Capacity Requirements (Client)
5 — Out of Scope
6 — Timeline & Milestones
M1 · Week 2Baseline complete
M2 · Week 5Policy v1.0 draft complete
M3 · Week 7Training block complete
M4 · Week 10Pilot evidence complete
M5 · Week 12Final handover + board briefing

Delivery Tracks

Express Track
12 weeks
Single school · small-to-medium campus · up to ~2,000 students
Standard Track
16–20 weeks
Multi-campus · district-wide · complex stakeholder environments (+40–60% fee)
7 — Acceptance Criteria

Project is accepted when:

8 — Fees & Payment Terms

Total fee: [£ / € / $ AMOUNT — fill on signature]

Travel & On-Site Expenses:
  • 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
40%
At signature
40%
At Phase 3 completion
20%
At final handover
9 — Change Control

Any scope changes require a written change order that defines:

10 — Data Protection, Confidentiality & Legal Notice
11 — Success Markers (First 90 Days)
12 — Incident Response SLAs

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
13 — Post-Handover Support (Optional)

The following support tiers are available after project completion. All tiers are optional and quoted separately from the core engagement fee.

Tier A
Annual Policy Review
  • 6-month + 12-month policy review session
  • Regulatory scan (annual)
  • Policy update to v2.0
Tier B — Recommended
Governance Partner
  • Everything in Tier A
  • Quarterly Panel facilitation
  • Tool re-evaluation cadence
  • P1/P2 incident advisory support
Tier C
Multi-Year Program
  • Everything in Tier B
  • Annual staff training refresh
  • Year 2/3 expansion roadmap
  • Board reporting support
14 — KPI Framework

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 timeDays from request submission to Panel decision≤ 21 daysPer approval
Incident log activityCount of P1/P2/P3 incidents logged per quarterRegister active; P1 = 0Quarterly
Approved tool adoption% of AI tool use that is from the approved list≥ 90%Bi-annual
Governance Panel cadenceQuarterly meetings held on schedule4 / yearAnnual
Policy version frequencyNumber 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
15 — Risk Mitigation
Risk Mitigation
AI Policy Owner leaves mid-projectDeputy named at kickoff; knowledge transfer session held in Week 3; all decisions documented in shared governance drive.
Pilot tools fail approval workflowPre-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-showsEscalation path to Superintendent / board chair documented in Week 1; missed checkpoints logged as project risk; 2 consecutive misses triggers formal review.
Low staff training attendanceMake-up sessions scheduled within 2 weeks of each live block; async module option available in school LMS for all 4 modules.
Regulatory change during projectProvider monitors key regulatory sources bi-weekly; material changes trigger a policy review session within 30 days.
Scope creep / client expansion requestsAll changes require written change order (§9). Provider will flag scope drift within 48h of identification.
Signatures
Client (Authorized Signatory)
Signature
Name
Date
Provider — Togno Labs S. A.
Signature
Name
Date