GOYE AI Research & Advisory | Disciplined Intelligence

Before We Automate, Are We Ready?

AI policies are taking shape. Responsible implementation requires more than a deadline: it requires purpose, evidence, ethical judgment, human oversight, and accountability across people, tools, and autonomous agents.

Explore Your Readiness Compare Florida & North Carolina

Listen to Before We Automate

Research-informedHuman-centeredGovernance-focused

Module 02

Two states, two dates

Policy milestones in Florida and North Carolina, with the primary source for each. Dates describe when a policy must be adopted. They do not describe whether any institution is compliant.

North Carolina

Public school units adopt AI-use policies after reviewing the DPI model policy.

Stated date: June 30, 2027

30 June 2027stated date. Days remaining need JavaScript.

Jurisdiction: North Carolina · Scope: public school units
Primary source: Session Law 2026-41
Last reviewed: 7 November 2026, by the handoff author. Not independently verified for this build.

Florida

District boards and charter governing boards adopt and implement AI instructional-tool internet safety policy amendments.

Stated date: July 1, 2027

1 July 2027stated date. Days remaining need JavaScript.

Jurisdiction: Florida · Scope: district and charter governing boards
Primary source: Rule 6A-1.0957, stated effective 29 October 2026
Last reviewed: 7 November 2026, by the handoff author. Not independently verified for this build.

Counting convention. These show whole calendar days remaining to the stated date in America/New_York, not an asserted legal cut-off hour. The handoff directs that an end-of-day convention be verified with counsel before any hour-level countdown is shown, and that verification has not happened, so days are shown instead. After a stated date passes, the figure is replaced with a prompt to verify current requirements. Nothing here displays "compliant" or "noncompliant" on the basis of time.

Policy ledger

Every field the review requires, recorded per jurisdiction. Blank fields are blank because they are not yet established, not because they are empty.

Field	North Carolina	Florida
Obligation	Adopt an AI-use policy after reviewing the DPI model policy	Adopt and implement AI instructional-tool internet safety policy amendments
Covered entity	Public school units	District boards and charter governing boards
Action required	Policy adoption by the governing body	Policy adoption and implementation
Stated deadline	30 June 2027	1 July 2027
Effective date	Not established in this build	Rule stated effective 29 October 2026
Exceptions	Not established in this build	Not established in this build
Source	Session Law 2026-41	Rule 6A-1.0957
Reviewer	Author of the GOYE AI handoff	Author of the GOYE AI handoff
Date checked	7 November 2026	7 November 2026
Verification status	Not independently verified. Counsel review required before publication.	Not independently verified. Counsel review required before publication.

The two jurisdictions impose different obligations on different entities. Nothing on this page equates them, and policy adoption is kept separate from implementation, notice, training and reporting milestones.

Related milestones

Kept separate from the policy-adoption countdowns above.

31 December 2026North Carolina model policy due.
15 January 2027Access to the model policy.
30 June 2028North Carolina teacher professional development.

A date tells you when a policy must exist. It tells you nothing about whether it works.

Adoption is not implementation

What is required, and what is not

What is required?

Both jurisdictions require a governing body to adopt a policy by the stated date. The authoritative wording lives in the primary sources linked on each card, and those sources govern. This page summarises; it does not restate statute.

What is still a local decision?

Adopting a policy does not settle how it is implemented. These remain local:

Which instructional tools are approved, and on what evidence.
What human review applies before an AI-assisted decision affects a learner.
Which permissions an autonomous agent holds, and who can intervene or stop it.
How families are told what is in use, and how they raise a concern.
How often the policy is revisited, and who owns that review.

What evidence should a board request?

An approved-use policy naming which decisions AI may and may not support.
A tool inventory with evaluation records covering privacy, accessibility and reliability.
An agent register recording permissions, logs, intervention and shutdown paths.
A staff literacy and training plan, with dates.
A monitoring and revision schedule naming an accountable owner.

Module 03

Your state may have a different rule. Your institution still needs a decision framework.

Select a state or territory

Select a state to see whether GOYE AI has published research coverage for it.

Request a state or sector

What state or sector should GOYE AI examine next?

No data leaves your browser. No CRM, newsletter platform or email service is connected in this build, because the handoff requires owner approval and a data-processing review first. Submitting opens a pre-filled message in your own mail client so you can see exactly what would be sent. Please do not enter student records or any identifiable information about a minor.

Intelligence without judgment is not wisdom.

Capability without accountability is not responsible innovation.

Check your readiness

Module 04

What responsible readiness means

One principle, three governance tracks. The principle decides why capability must be governed at all; the tracks decide what is governed differently.

Intelligence without judgment is not wisdom. Capability without accountability is not responsible innovation.

Five decision anchors

PurposeWhat is this for, and for whom?
EvidenceWhat do we actually know?
EthicsWho could this harm?
ContextDoes it hold here, in our setting?
AccountabilityWho answers for the outcome?

Three tracks, governed differently

Human users

Cultivate judgment
Build literacy
Verify outputs
Escalate uncertainty

AI tools

Evaluation before adoption
Ongoing monitoring
Privacy and accessibility review
Reliability evidence

AI agents

Authority boundaries
Logs
Escalation paths
Intervention and control

All three tracks converge on the same five anchors above, and the result of applying them is Responsible Organizational Intelligence. The tracks are parallel, not a hierarchy, and none substitutes for another.

How the parts connect

Principle
Disciplined Intelligence
Why capability must be governed by judgment at all. Purpose, Evidence, Ethics, Context, Accountability.
Above
What is governed
Human users, AI tools, AI agents
Three tracks with different obligations. Agents are governed objects, not decision-makers.
Above
Institution decides
B.R.I.D.G.E.™
Six stages, each forcing one decision and leaving one artifact a board can review.
Full framework
A person decides
Wisdom-to-Action
Question, Understand, Judge, Act, Reflect, and back to Question. A proposed methodology, not validated.
Below
Specialism
SMMP™
What literacy becomes once AI is in the room. Related, but not a prerequisite for readiness.
Its own framework

One system, read top to bottom: the principle sets the test, the three tracks say what the test applies to, and the two methods say who applies it. SMMP sits alongside rather than inside.

These diagrams are set as text rather than images, so they are readable by screen readers, translatable, and printable. Nothing here implies that an AI agent possesses human moral judgment: agents are governed objects, not decision-makers.

Module 05

Is your institution ready for responsible AI?

Six domains, four to six minutes. A reflective planning tool, not a legal audit, risk score, certification, or compliance determination.

Your next steps appear here

Answer the domains above, then choose "Show my domain prompts". You receive one prompt per domain, not a single readiness grade.

Anonymous by default. Nothing is transmitted or stored on a server. No email is requested. Results are domain-level prompts, deliberately not a single authoritative grade, and they are not a legal finding of any kind. Do not enter student records, vendor secrets, or information identifying a minor.

Module 06

Resources

The facts and sources on this page are open and ungated. Only optional planning formats are requested by email.

2027 School AI Policy Readiness Brief: Florida & North CarolinaPrimary planning resource. Not yet written.
Board Questions Before AI AdoptionThe question set from module 02, as a printable sheet. Not yet written.
AI Tool & Agent Governance WorksheetEvaluation and permission records. Not yet written.
Family Questions About AIPlain-language questions for caregivers. Not yet written.

Nothing is gated, because nothing is built yet. These four are named in the handoff as the intended downloads. They are listed here so the structure is visible and so no form promises a file that does not exist. No newsletter, CRM or email service is connected.

Module 07

B.R.I.D.G.E.™

Six stages, each with the decision it forces and the artifact that shows the decision was made. Execution does not end governance: the sequence loops.

B.R.I.D.G.E.™ is a proprietary GOYE AI conceptual framework. It is distinct from external research and from legal requirements.
Stage	Decision question	Sample public artifact
Build	Are values, authority, and governance conditions established?	Governance charter
Research	What evidence supports need, benefits, and risks?	Evidence brief
Innovate	What alternatives deserve exploration?	Options matrix
Design	What safeguards and boundaries are required?	Human-in-the-loop map
Guide	How are people and agents prepared and governed?	Training & permissions plan
Execute	How will outcomes be monitored and decisions revised?	Monitoring dashboard

Module 08

Sankofa Multimodal Media Proficiency™

A culturally grounded companion to B.R.I.D.G.E.™ Where B.R.I.D.G.E. governs how an institution decides, SMMP™ governs what literacy becomes once AI is in the room: a living archive, digital authorship, and communal design rather than passive consumption.

It matters here because an AI policy that secures tools but leaves learners as recipients has solved the governance problem and missed the educational one.

Analyze multimodal texts across platforms
Interrogate power, bias, and representation
Compose through digital authorship
Calibrate communication to context and audience
Collaborate within affinity-based communities

Read the SMMP™ framework in full

Module 09

The Wisdom-to-Action discipline

Five steps, with a loop from Reflect back to Question.

1. QuestionWhat are we actually trying to decide, and for whom?
2. UnderstandWhat do we know, and how well do we know it?
3. JudgeWhat does the evidence support, and what does it not?
4. ActWhat do we do, under which safeguards?
5. ReflectWhat happened, and what does it change? Return to Question.

Status: this is a proposed GOYE AI methodology. It is not empirically validated, and it is not presented as a research finding.

Module 10

Think tank and research library

The publishing plan. No briefs are published yet, so none are listed: this is the structure they will arrive in.

Content pillar	Recommended public assets	Update cadence
Policy intelligence	Florida and North Carolina explainers, source registry, policy timeline, change log	On source change; weekly checks during deadlines
Evidence & evaluation	Claim, evidence and limitations briefs; tool evaluation rubric	Monthly, or on new research
Governance design	Authority matrix, AI agent permission checklist, board questions	Quarterly
Human judgment & literacy	Teacher decision guides, family questions, staff literacy prompts	Monthly
Implementation observation	De-identified case studies; what policies say against documented practice	After independent verification
Cross-state inquiry	"Are You Ready?" state research requests; comparison only of verified jurisdictions	Rolling
Public conversation	Before We Automate episodes, transcripts, show notes, source links	Each release

What every brief will carry

Claim. Why it matters. What primary sources say. Strength of evidence. Where evidence is limited. Implications for humans, tools and agents. Questions for leaders. Date reviewed. Author and reviewer. Corrections and conflicts of interest.

Module 11

Before We Automate

AI, Human Judgment, and the Decisions That Matter. An editorial companion to the research, not an advertisement for it.

Season	Timing	Web integration
Season 1 The Rules Meet Reality	January to June 2027, six episodes	Florida and North Carolina policy readiness, tool approval, teacher judgment, families, agents, pre-deadline readiness
Post-deadline special	6 July 2027	What is verified after the June and July dates, distinguishing documented facts from claims
Season 2 Who Gets to Decide?	August to October 2027, six episodes	Human authority, agent accountability, workforce, school choice evidence, governance voices, policy revision

No players or links are embedded. The handoff requires that only approved players and licensed clips be embedded, and no channel URLs, artwork or episode embeds have been supplied. Transcripts, captions, episode pages, source links and guest disclosure are part of the specification and are not yet built.

Module 12

Sources, corrections and limits

Primary sources

Florida adopted rule 6A-1.0957 flrules.org/gateway/ruleNo.asp?id=6A-1.0957
Stated effective 29 October 2026. AI policy amendment date stated as 1 July 2027.
Florida Administrative Register, notice of change flrules.org/Faw/FAWDocuments/…/52182doc.pdf
Contains agentic AI and human review wording. Verify against the final adopted rule.
North Carolina Session Law 2026-41 ncleg.gov/EnactedLegislation/SessionLaws/HTML/2025-2026/SL2026-41.html
Model policy, local adoption date stated as 30 June 2027, teacher training.
North Carolina legislative summary ncleg.gov/Legislation/SummariesPublication/Summary/2026/9/S257-SMBN-93(sl)-v-3/
Context only. The enacted law governs.

Questions

Is this legal advice?

No. This is strategic design guidance. Requirements change, and the primary sources govern. Consult counsel for any determination that affects your institution.

Is GOYE AI affiliated with any state agency?

No. GOYE AI is not affiliated with, endorsed by, or acting on behalf of any state education agency or government body, and nothing here is state-approved or certified.

Does the self-check certify anything?

No. It is a reflective planning tool. It produces prompts, not a score, a grade, a certification, or a finding of compliance.

How do I report an error?

Email go@goyellc.com. Corrections are published with the date and the nature of the change.

Status of this page

Source checks were performed on 7 November 2026 by the author of the GOYE AI handoff. They have not been independently verified for this build, and the handoff requires re-checking the official texts before launch and before every update.

This page distinguishes three different kinds of statement, and labels them: a legal mandate as stated in a primary source; state guidance; and a GOYE AI recommendation. Where you see a date, it is reported from the source named beside it. Where you see a framework, it is GOYE AI's own and is marked as such.

Ask better questions first.

Intelligence without judgment is not wisdom. Capability without accountability is not responsible innovation. Request a leadership briefing.

© Dr. Mistoria Brown. Licensed through GOYE LLC. GOYE AI is a trade name of GOYE LLC. B.R.I.D.G.E. Framework™ is a trademark of GOYE LLC. This page is strategic design guidance, not legal advice, and GOYE AI is not affiliated with or endorsed by any government body.