Know whether your teachers are ready to use AI professionally.
Assess staff capability, identify professional gaps, strengthen responsible AI use and build a verified AI-ready teaching workforce.
AI adoption is happening before most schools have a standard.
When schools lack an institutional baseline, individual teachers adopt AI independently. This introduces professional inconsistency and institutional risk.
- Teachers using different AI tools with varying competency
- Student data entered into public AI systems without safeguards
- Assessment quality and academic integrity varies
- No shared professional standard or way to verify staff competency
- Policies written before practical capability is actually measured
Your School AI Competency Profile
Aggregate Staff Baseline
Top Professional Risk
Learner data safety
Priority Intervention
Responsible AI + Assessment
Start with evidence.
The FutureTeacher AI Teacher Workforce Assessment delivers a complete baseline of your teaching staff's AI readiness before you invest in tools or training.
- Staff readiness baseline
- Four-area competency profile
- Responsible AI risk map
- Teaching-level breakdown
- Recommended staff pathway
- Aggregate leadership report
What schools gain.
Understand staff capability.
Create a shared professional AI standard.
Strengthen privacy, verification and responsible use.
Target professional development where it is actually needed.
Build a verifiable record of staff competency.
Move from assessment to verified competency.
Sponsor your staff through Practitioner cohorts with seat codes. Build an institutional record of verified competence, not just a list of attendees.
Assess staff → Identify gaps → Certify teachers
AI governance starts with school leadership.
Equip heads and deputies with the policy templates, data protection controls, and strategic understanding needed to govern institutional AI.
Explore School Leader Programme →Recruit with better evidence.
FutureTeacher credentials can help schools distinguish between a teacher who has used AI casually and a teacher who has demonstrated professional competency.
AI-Ready School
Build an institution-wide standard.
Future Certification- • Minimum staff-certification threshold
- • Responsible AI policy active
- • Data protection controls
Start with your workforce baseline.
Tell us about your school and we will be in touch to plan an institutional assessment.