Beni
Read about Beni's approach to AI Governance in K-12

AI Governance Built for Every K-12 Institution

Whether you run a 50,000-student urban district or a single charter school, Beni adapts to your governance structure, compliance requirements, and student population.

K-12 Public School Districts

Comprehensive AI Governance for Traditional Districts

Most districts are governing AI with spreadsheets, email chains, and good intentions. Beni replaces that with a real governance platform — one system where you set the policy, approve the tools, and enforce the rules at the classroom level.

Whether you have 5 schools or 200, Beni scales with your district. Policies cascade from the district level to individual buildings. Teacher controls adjust by grade band. Compliance reporting rolls up automatically.

  • District-wide AI tool approval workflow — centralized process for requesting, evaluating, and approving or blocking AI tools across all schools
  • Policy enforcement at the classroom level — policies set at the district level are enforced when students and teachers interact with AI
  • Compliance dashboard — real-time view of FERPA, COPPA, and state privacy law compliance across all approved tools
  • Shadow AI detection — identify unauthorized AI tools being used across the district before they become a liability
  • Multi-building governance — set district-wide policies with building-level flexibility where it makes sense
Common Use Cases

AI Tool Vetting

Teachers request new AI tools through a structured workflow. IT, curriculum, and privacy review happens in one place with documented decisions.

Board Policy Compliance

After adopting an AI policy, the board needs proof it is being followed. Beni provides the compliance data for board reporting.

DPA Management

Track which AI vendors have signed DPAs, which agreements are expiring, and which tools are in use without agreements in place.

Teacher Enablement

Give teachers access to approved AI tools with guardrails — so they can innovate without creating compliance risk.

Charter Schools

AI Governance That Fits Charter Autonomy

Charter schools move fast and innovate by design. But speed without governance creates risk — especially when AI tools are processing student data without DPAs or FERPA review.

Beni gives charter schools the governance structure they need without the bureaucracy they do not. Lightweight enough for a single school. Robust enough for a charter network.

  • Fast setup — charter schools can be up and running with AI governance in days, not months
  • Network-level management — charter management organizations (CMOs) can set policies across all schools in the network while allowing site-level customization
  • Authorizer-ready reporting — generate compliance documentation that satisfies charter authorizer requirements
  • Innovation-friendly governance — approve new tools quickly with a structured but lightweight process
  • Same compliance standards — FERPA, COPPA, and state privacy laws apply to charters too. Beni ensures you meet them.
Common Use Cases

Rapid Tool Adoption

Charter schools adopt technology faster than traditional districts. Beni ensures new AI tools are vetted for compliance before they reach students.

CMO Standardization

Charter networks need consistent AI governance across schools. Beni provides the shared policy layer without limiting site-level pedagogical decisions.

Authorizer Compliance

When your authorizer asks how you are governing AI, Beni gives you the documentation and compliance data to answer confidently.

Parent Communication

Charter families expect transparency. Beni provides clear reporting on what AI tools are in use and how student data is protected.

Special Education

AI Governance with Accessibility and IEP Compliance

AI tools offer enormous potential for students with disabilities — personalized learning, assistive technology, adaptive assessments. But these tools process some of the most sensitive student data in the district: IEP goals, disability classifications, behavioral data, and accommodation records.

Beni provides the extra layer of governance that special education AI tools require. Policies account for Section 504, IDEA, and the unique data sensitivity of special education records.

  • Enhanced data protections for IEP data — AI tools that process IEP information are flagged for elevated review and stricter data handling requirements
  • Accessibility-first tool evaluation — tool approval workflow includes accessibility compliance checks (WCAG, Section 508)
  • Section 504 and IDEA alignment — governance framework accounts for the additional federal requirements that apply to special education technology
  • Accommodation-aware controls — teacher controls can be configured per-student to support IEP-required accommodations while maintaining governance guardrails
  • Parent rights documentation — clear documentation of how AI tools interact with special education records, supporting parent notification requirements
Common Use Cases

IEP Goal Development

Educators using AI to draft IEP goals need tools that do not store or train on the sensitive student data entered. Beni ensures only compliant tools are available.

Adaptive Learning Tools

AI-powered adaptive learning platforms must be vetted for both data privacy and accessibility compliance before deployment to special education classrooms.

Assistive Technology

AI-powered assistive tech (text-to-speech, speech-to-text, predictive text) requires governance that balances access with data protection.

Progress Monitoring

AI tools used for progress monitoring against IEP goals process highly sensitive data. Beni ensures these tools meet the highest privacy standards.

English Language Learner Programs

AI Governance for Multilingual Education

AI tools are transforming ELL instruction — real-time translation, language scaffolding, adaptive vocabulary practice, and fluency assessment. But these tools collect language proficiency data, home language information, and often interact with students who are among the most vulnerable in the district.

Beni ensures that the AI tools supporting English language learners meet the same governance and privacy standards as every other tool in the district, with additional safeguards for the unique data ELL programs generate.

  • Language data protections — AI tools that process home language surveys, proficiency scores, and language classification data are flagged for elevated data privacy review
  • Translation tool governance — real-time translation tools used in parent communication and instruction are vetted for accuracy and data handling practices
  • Scaffolding without surveillance — AI scaffolding tools can support language acquisition without building profiles that track students beyond the educational purpose
  • COPPA compliance for younger ELLs — many English learners are in elementary grades where COPPA adds additional requirements to AI tool use
  • Cultural sensitivity in AI tools — evaluation framework includes whether AI tools perform equitably across languages and cultural contexts
Common Use Cases

AI Translation Tools

Districts using AI for parent communication and classroom translation need governance over what data these tools collect and retain.

Adaptive Language Practice

AI-powered language learning platforms must be evaluated for data practices, especially when they track proficiency progress over time.

Assessment & Placement

AI tools used for ELL proficiency assessment and program placement decisions process sensitive classification data that requires strict governance.

Content Scaffolding

AI that adapts content difficulty for language proficiency needs to be governed to ensure equitable access without creating limiting student profiles.

State Education Agencies

Support District AI Governance at Scale

State education agencies are setting AI policy frameworks, publishing model policies, and in some cases mandating AI governance for districts (like Ohio’s HB 96). But state guidance alone does not ensure district compliance. Districts need implementation tools.

Beni works with state agencies to bridge the gap between policy guidance and district-level implementation. When a state publishes AI guidelines, Beni helps districts operationalize them.

  • State policy implementation — translate state AI guidelines and model policies into enforceable district-level governance through the Beni platform
  • Aggregate compliance visibility — see which districts in the state have AI governance in place and where gaps remain
  • Statewide rollout support — pilot with a cohort of districts and scale governance statewide with a consistent framework
  • Approved vendor registry — build a state-level list of vetted AI tools that districts can adopt with confidence
  • Legislative compliance tracking — as state AI legislation evolves, Beni updates governance frameworks to match new requirements
Common Use Cases

Model Policy Deployment

State publishes a model AI policy. Beni helps districts adopt and customize it, then tracks implementation across the state.

Mandate Compliance

States like Ohio require districts to adopt AI policies by a deadline. Beni provides the compliance infrastructure and reporting.

Statewide Vendor Vetting

Instead of 500 districts each vetting the same AI tools, the state can maintain a centralized approved vendor list through Beni.

Professional Development

State-coordinated AI literacy and governance training for educators, delivered through a consistent platform.

County Offices of Education

Regional AI Governance Coordination

County offices of education serve as the connective tissue between state policy and district implementation. For AI governance, that role is critical — smaller districts in the county often lack the IT staff, legal resources, or bandwidth to build AI governance from scratch.

Beni enables county offices to provide shared AI governance infrastructure to their member districts — a common tool approval process, shared compliance resources, and regional professional development.

  • Multi-district coordination — manage AI governance across all districts in the county from a single dashboard
  • Shared services model — small districts that cannot staff their own AI governance program can participate in a county-coordinated model
  • Regional vendor vetting — vet AI tools once at the county level, then make approved tools available to all member districts
  • Compliance mapping — see which districts in the county have AI policies, which tools are in use, and where governance gaps exist
  • Shared professional learning — coordinate AI governance and literacy training across districts efficiently
Common Use Cases

Small District Support

Districts with 500 students cannot hire an AI governance coordinator. The county office provides the governance infrastructure through Beni.

Regional DPA Management

Negotiate and manage data processing agreements at the county level, so individual districts do not have to negotiate independently.

Cross-District Insights

See which AI tools are performing well across the county, which have compliance issues, and where districts are struggling with governance.

Grant-Funded Programs

County offices running grant-funded AI programs need governance and compliance documentation. Beni provides it automatically.

Which Offering Fits Your Institution?

Every institution is different. Tell us about your governance needs and we will show you how Beni fits.

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