Top 10 AI Prompts and Use Cases and in the Government Industry in Houston

By Ludo Fourrage

Last Updated: August 19th 2025

Illustration of Houston skyline with AI icons for public safety, healthcare, networks, and social engagement.

Too Long; Didn't Read:

Houston can use AI to scale services for 2.3M residents (28.7% foreign‑born ~660k), cut processing time, improve transit and public‑health responses, and boost CSAT (+25%) and agent productivity (up to +35%) - with $152M open‑AI funding and governance to ensure measurable ROI.

Houston's city government serves roughly 2.3 million residents - including about 660,000 foreign‑born people - and faces structural challenges (19.7% poverty, 24% uninsured, a 1.14M employed base and 27.3‑minute average commutes) that make AI a practical tool for scaling services, expanding multilingual outreach, speeding benefits processing, and optimizing transit and public‑health responses; see the full Houston demographic and economic profile (2023–2025).

Building workforce capacity is equally critical: practical training like the AI Essentials for Work syllabus (Nucamp AI Essentials for Work) teaches nontechnical public‑sector staff how to write prompts, use AI tools, and measure impact so municipal projects turn automation into measurable time and cost savings for diverse Houston communities.

MetricValue (2023)
Population2.3 million
Foreign‑born28.7% (~660k)
Poverty rate19.7%
Employed population1.14 million
Median household income$62,894

Table of Contents

  • Methodology: How we selected these Top 10 AI Prompts and Use Cases
  • AI-Enhanced Operations Centers: TCS AI Operations Center Model
  • Large-Scale AI Data Centers: Google and Harwood ND $3B Facility Lessons
  • AI Policy & National Geopolitics: OpenAI and Sam Altman Context
  • GenAI Implementation & Change Management: MIT Pilot Failure Findings
  • Document Automation in Healthcare: Chelsea and Westminster NHS Trust Example
  • Network & 5G Optimization: Deutsche Telekom 5G AI Use Case
  • Bias & Identity Risk Mitigation: BETAI Hair Bias Study
  • Edge Devices & Wearables: HTC Vive Eagle Smart Glasses Pilot
  • Open Multimodal AI for Public Health: Allen Institute (Ai2) OMAI Funding
  • Social Media & Citizen Engagement: Hootsuite AI Listening and OwlyGPT
  • Conclusion: Roadmap, KPIs, and Governance for Houston's AI Future
  • Frequently Asked Questions

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Methodology: How we selected these Top 10 AI Prompts and Use Cases

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Selection prioritized prompts and use cases that translate to measurable municipal outcomes for Texas - focusing on clear ROI, data readiness, ethical governance, and a demonstrable path from pilot to scale.

Criteria were drawn from enterprise case studies that favor concrete metrics (e.g., Walmart's ~$75M logistics savings and JPMorgan's 360,000 staff‑hour automation) and from public‑sector playbooks that stress workforce engagement and governance; see the enterprise AI adoption case studies and examples (enterprise AI adoption case studies) and the federal AI strategy and governance framework (federal AI strategy and governance framework).

Practical relevance to Texas was a tie‑breaker: use cases with applied wins in transportation and energy (e.g., Central Texas mobility pilots and data‑center energy optimization) were elevated using examples from Google Cloud's public‑sector use cases to ensure municipal operability and vendor neutrality (Google Cloud real-world generative AI public-sector use cases).

The result is a Top‑10 list that favors tractable problems, measurable KPIs, and explicit governance so Houston leaders get pilots that can scale into budgeted programs - not just proofs‑of‑concept.

Selection CriterionWhy it matters for Houston
Measurable ROIEnables budget justification and KPI tracking
Data readinessPrevents messy pilots and speeds productionization
Governance & workforceReduces risk, supports reskilling and trust
Pilot→Scale pathwayEnsures long‑term municipal impact

“This Case Studies report offers great insights into how AI and automation technologies are being adopted in UK firms. Through in-depth interviews with those working across surgery, policing, manufacturing, marketing, charities, and agriculture it adds greatly to our knowledge on how to progress with technology adoption in ways that supports innovation, while sustaining high-quality jobs, skills, and workers' wellbeing.” - Professor Sir Christopher Pissarides

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AI-Enhanced Operations Centers: TCS AI Operations Center Model

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Tata Consultancy Services (TCS) has rolled out an AI‑enhanced operations center model - staffed with AI specialists and software engineers - that municipal agencies in Texas can adapt to modernize contact centers and operations hubs; the launch details explain the staffing and innovation hub approach (TCS AI‑enhanced operations center launch and staffing model).

The same composable architecture and tooling TCS describes - combining studio workflows like AI VX Studio with enterprise adoption platforms such as AI WisdomNext - supports automated versioning, content workflows, custom LLM fine‑tuning, and rapid pilot‑to‑scale transitions for public services (TCS AI VX Studio media solution on AWS Cloud, TCS WisdomNext enterprise generative AI adoption platform).

For contact‑center and emergency‑operations use cases, the TCS on‑AWS generative AI reference shows real‑time call summarization, multilingual translation, and sentiment analysis that can raise customer satisfaction and agent productivity - so Houston leaders can reduce handling time, expand multilingual outreach, and get measurable service gains without rebuilding legacy systems (TCS generative AI contact center architecture on AWS for real‑time summaries and translation).

Operational Benefit Reported Impact
Customer satisfaction (CSAT) +25%
Agent training effectiveness +30%
Agent productivity / handling time Up to +35% / reduced average handling time (AHT)
Key features Real‑time summaries, multilingual translation, sentiment analysis

Large-Scale AI Data Centers: Google and Harwood ND $3B Facility Lessons

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Google's recent two‑year, $9 billion commitment to cloud and AI infrastructure in Oklahoma - including a 400‑acre Stillwater campus (reported as up to $3 billion) and expansions at Pryor - offers Texas municipalities a playbook for scaling municipal AI: secure grid capacity early (Google signed power purchase agreements for more than 700 MW of clean capacity), negotiate community benefits and workforce pipelines in parallel, and budget for phased construction and sustainability upgrades so projects don't stall on permitting or power constraints; see the Google $9 billion Oklahoma AI infrastructure investment announcement (Google $9 billion Oklahoma AI infrastructure investment announcement) and reporting with details on the Stillwater campus plan (Details on Google's Stillwater campus plan and investment).

For Houston, the lesson is concrete: pairing infrastructure agreements with funded electrician apprenticeships (Google's program aims to train 160+ apprentices and expand the electrical pipeline) can unlock multi‑billion‑dollar AI capacity while delivering local jobs and grid resilience.

MetricValue
Total near‑term investment$9 billion (two years)
Stillwater campus~400 acres; up to $3 billion (estimated)
Power purchase agreements>700 MW new clean capacity
Workforce target160+ apprentices; +135% electrician pipeline goal

“a ‘huge win' for the state” - Gov. Kevin Stitt

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AI Policy & National Geopolitics: OpenAI and Sam Altman Context

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OpenAI's new “for government” initiative, which offers federal, state, and local agencies access to ChatGPT Enterprise and ChatGPT Gov within “secure and compliant environments,” gives Texas and Houston governments a clear channel to pilot generative AI for casework, multilingual outreach, and benefits processing - but the episode of public governance turmoil at OpenAI shows procurement alone won't prevent missteps; governance failures highlight the need for board‑level oversight, vendor auditability, and legal alignment before scale (OpenAI for Government initiative and ChatGPT Gov access, lessons from the OpenAI governance crisis on board oversight).

Local policy playbooks already recommended by cities and counties - public inventories, risk mitigation for bias and privacy, human oversight, and transparency - serve as a practical roadmap Houston can adopt so the city gets speed without sacrificing accountability (city and county AI governance trends and templates from the Center for Democracy & Technology).

The takeaway: enterprise access is an operational opportunity, but codified local guardrails are the “so what” that turn pilots into trusted, scalable public services.

“Speed is even more important than ever” and it would be an “absolutely fatal error in this moment to worry about things that can be fixed later.”

GenAI Implementation & Change Management: MIT Pilot Failure Findings

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MIT's NANDA study - reported in Fortune - finds about 95% of generative‑AI pilots stall instead of delivering rapid revenue gains, driven less by model quality than by unclear objectives, poor data and integration, and widespread “shadow AI”; Houston must treat that figure as a design constraint, not a deterrent (MIT NANDA study report on generative AI pilots (Fortune)).

The practical path forward shown in MIT's work and the MIT Sloan playbook is concrete: prioritize vendor partnerships and composable tools that integrate into workflows (vendor partnerships succeed roughly 67% of the time versus internal builds at about one‑third that rate), empower line managers to own adoption, and shift investment toward back‑office automation where the largest ROI has been observed; start with “small‑t” transformations that prove KPIs before scaling (MIT Sloan Management Review on small‑t transformations for Gen AI).

For Houston, the “so what?” is stark - reallocating pilots and training dollars into targeted automation and frontline reskilling can convert pilots into budgeted programs that measurably cut processing time and vendor spend; local training pipelines and partner programs help bridge the learning gap for municipal staff (Nucamp AI Essentials for Work - reskilling and partner programs in Houston).

FindingValue / Note
Pilots failing to deliver rapid revenue impact~95%
Pilots achieving rapid revenue acceleration~5%
Vendor partnership success rate~67% (reported)
Internal builds success~one‑third as often as vendor partnerships
Common failure driversUnclear objectives, poor data/integration, shadow AI, weak measurement

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Document Automation in Healthcare: Chelsea and Westminster NHS Trust Example

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Chelsea and Westminster NHS Trust's AI Assisted DSUM product automatically drafts discharge‑summary letters from the patient's medical record to reduce administrative time and support timely, safe discharges, with each draft reviewed and finalised by a clinician before being shared with the patient and their primary care provider - an approach Houston hospitals and county health systems could emulate to speed care transitions while preserving clinician oversight (NHS AI Assisted DSUM product privacy notice).

UK research underscores why quality matters: discharge summaries are essential for communicating care and for identifying patients at higher risk of avoidable harm, so any Texas pilot must combine automated drafting with local governance, clinician review workflows, and routine audits to avoid downstream safety lapses (BJGP study on processing of discharge summaries in general practice, BJGP Open qualitative study on discharge summary workflows).

The NHS notice also maps concrete controls - limited data sharing, named processor oversight (Palantir Technologies UK Ltd), and statutory legal bases - that Houston policymakers should mirror under U.S. privacy and health‑data rules to ensure scalable, accountable automation that meaningfully reduces clinician paperwork.

AspectDetail (from NHS product)
Primary purposeSupport timely, safe discharge; create draft discharge summary
Personal data processedName, address, DOB, gender, NHS/hospital record number, health information; staff names/emails may be processed
Who accesses/sharesHealthcare professionals providing care; shared with patient's GP on discharge; not shared with other organisations
ProcessorPalantir Technologies UK Ltd (acts on trust instructions)
Legal basis notedPublic task (Art. 6(1)(e)) and health care (Art. 9(2)(h)) under UK GDPR

Network & 5G Optimization: Deutsche Telekom 5G AI Use Case

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Deutsche Telekom's blend of AI and 5G offers a practical blueprint for Houston to make networks self‑healing, prioritized, and mission‑ready: private 5G campus deployments deliver dedicated spectrum and millisecond‑class latency for safety‑critical apps (Ericsson's 5G SA campus notes up to 100 MHz and ultra‑short response times), AI‑driven RAN assistants can detect anomalies and trigger automatic remediation during peak events (MWC 2025 demos of a “RAN Guardian Agent” that improves performance at concerts and traffic hotspots), and telecom‑grade AIOps platforms tie telemetry to closed‑loop automation so operators predict failures and reduce MTTR using BigQuery/Vertex AI pipelines.

For Houston this means capable wireless slices for first responders, prioritized bandwidth for downtown festivals, and SD‑WAN modernization to stabilize city‑to‑cloud links while preserving data control; see Deutsche Telekom's private 5G campus offer (Deutsche Telekom & Ericsson private 5G campus network announcement), AI‑powered network optimization with Amdocs/Google Cloud (Amdocs Network AIOps on Google Cloud for AI-powered network optimization), and programmable public‑network drone/network demos with Nokia that prove real‑time fleet tracking and prioritization are feasible on public 5G (Deutsche Telekom & Nokia remote‑drone 5G demo and network-as-code integration).

The “so what?” for Houston: AI + 5G turns expensive congestion and outage risk into predictable, instrumented service levels that can be budgeted and governed.

CapabilityConcrete Houston benefit
Private 5G SA with dedicated spectrumLow‑latency, high‑reliability links for hospitals, ports, and emergency ops
AI RAN assistants / Network AIOpsFaster anomaly detection, automated remediation, reduced downtime
Programmable network slices (prioritization)Guaranteed bandwidth during large events and disaster response

"In this use case, what we're doing today at Landgrabenweg street is a drone which is flying using our APIs. The first one, verifying that the drone is really in this place here and the second one is quality on demand for the flight level. So even in a congested area, it's possible for a defined time to get more prioritization all over the network." - Noel Wirzius, Product manager for Network APIs, Deutsche Telekom

Bias & Identity Risk Mitigation: BETAI Hair Bias Study

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Houston agencies adopting AI for recruiting or frontline service delivery must explicitly mitigate natural‑hair bias shown to limit Black women's opportunities: Duke Fuqua research found Black candidates with natural hairstyles (curly afros, braids, twists) were rated lower on professionalism and competence and were less often recommended for interviews - an effect that is stronger in conservative industries (Duke Fuqua research on natural‑hair bias).

Practical, evidence‑based controls include removing biographical indicators where feasible, requiring human review and vendor auditability, and embedding routine bias audits and policy guardrails into procurement so automated tools do not reproduce appearance‑based penalties for Black Houstonians; reporting on workplace hair discrimination underscores why these steps are necessary to keep automation from hardening subjective stereotypes into structural exclusion (Harvard Business Review analysis of workplace hair discrimination).

The “so what”: without these built‑in checks, municipal automation can convert a biased perception of hairstyle into a measurable barrier to jobs and services for local residents.

“It's a serious consideration and may contribute to the lack of representation for Blacks in some organizational settings.” - Dr. Ashleigh Shelby Rosette

Edge Devices & Wearables: HTC Vive Eagle Smart Glasses Pilot

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Pilot programs in Houston can evaluate HTC's VIVE Eagle as a lightweight, privacy‑first wearable to streamline street‑level multilingual outreach and hands‑free documentation: the glasses offer real‑time translation (13 languages), crisp open‑ear audio and a 12MP camera for on‑the‑spot evidence capture, while AES‑256 encryption and a “zero data mining” design aim to keep recordings and translations local to the device - features that matter when field teams need fast, accurate communication with Houston's diverse residents without adding data‑sharing risk; see the official HTC VIVE Eagle product overview and specifications and launch reporting that highlights the device's 12MP camera, long standby and privacy controls (Gadget Review coverage of the HTC VIVE Eagle launch and privacy features).

A small pilot focused on benefits enrollment kiosks or code‑inspection teams could measure time‑to‑service, translation accuracy, and privacy incidents to decide whether to scale to citywide field operations.

SpecDetail
Camera12 MP ultra‑wide (video up to 1512×2016 @30fps)
TranslationReal‑time, 13 languages
SecurityAES‑256 encryption; privacy‑first/zero data mining
Battery36 hr standby; ~4.5 hr continuous music; 10‑min fast charge to 50%
Weight~49 grams / under 1.73 oz

“I'm liking this ‘berry' red color.”

Open Multimodal AI for Public Health: Allen Institute (Ai2) OMAI Funding

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The Allen Institute for AI's OMAI program - backed by a $152M NSF + NVIDIA investment - creates a national, fully open multimodal AI stack designed to lower the prohibitive hardware and tooling barriers that have kept university and public‑health researchers from training domain‑specific models; for Texas this matters because open model weights, training data and tools make reproducible, auditable AI usable by Houston's public‑health labs, county epidemiologists, and university partners without vendor lock‑in, speeding literature synthesis, biomedical model development (materials, protein function) and outbreak analysis at far lower cost than proprietary systems (Allen Institute for AI OMAI program announcement, Nextgov article on NVIDIA-NSF AI partnership for scientific research).

The initiative ships both open multimodal models and funded hardware partnerships (HGX B300 systems via NVIDIA/Cirrascale) so the “so what” is concrete: Texas teams can run advanced, transparent models locally or in consortia rather than ceding sensitive public‑health inference to opaque commercial APIs.

ItemDetail
Total funding$152 million (NSF $75M + NVIDIA $77M)
Lead organization / PIAllen Institute for AI (Ai2) / Dr. Noah A. Smith
Initial applicationsBiomedical research, materials discovery, protein function prediction
Hardware & partnersNVIDIA HGX B300 systems, Cirrascale, Supermicro

“This award marks a significant moment for truly open, scientific AI.” - Dr. Noah A. Smith

Social Media & Citizen Engagement: Hootsuite AI Listening and OwlyGPT

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Houston can sharpen citizen engagement and crisis response by pairing Hootsuite's FedRAMP‑authorized social platform with AI listening and generative copy tools: Hootsuite for government centralizes secure publishing and governance while Hootsuite Listening (Talkwalker's Blue Silk™ AI) scans 150M+ sources, delivers AI summaries (cutting research time by ~40%) and issues real‑time alerts so teams spot issues before they escalate; the platform already supports 2,000+ public agencies and helped one organization safely evacuate 88,000 residents, a concrete “so what” that translates directly to flood and emergency readiness in Texas.

Combine that with OwlyWriter AI to draft accessible, multilingual captions and rapid response templates, and Houston agencies can close the loop - detect, craft, approve, and distribute - without adding headcount or risking noncompliance.

Start with targeted listening queries for Houston neighborhoods, measure share‑of‑voice and response time, and use automated briefs to shorten decision cycles while keeping humans in the approval chain for sensitive messages.

CapabilityConcrete Houston benefit
Hootsuite for Government - FedRAMP-authorized social platformSecure, auditable citizen outreach and crisis workflows
Hootsuite Listening (Blue Silk AI) social listening and AI summariesReal‑time alerts, AI summaries (~40% research time saved), 13‑month history
OwlyWriter AIFaster, accessible multilingual posts and draft replies for field teams

“The Hootsuite platform is extremely comprehensive and has proved invaluable in emergency situations. It's been our one-stop shop for everything from message management and rumor control to collaboration with other agencies and analytics to improve our programs.” - Allison Pennisi

Conclusion: Roadmap, KPIs, and Governance for Houston's AI Future

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Houston's AI roadmap must pair legislative compliance, accountable governance, and measurable KPIs so pilots convert into public‑service gains: begin by aligning city programs to the Texas Responsible Artificial Intelligence Governance Act (TRAIGA) - including disclosure rules for government AI, the Department of Information Resources (DIR) sandbox option, and the AG's phased enforcement (note: uncurable violations can trigger fines in the $80,000–$200,000 range) - and institutionalize an AI Governance Council that elevates AI to a C‑level priority, owns vendor auditability, and enforces data‑governance boundaries tied to NIST best practices (TRAIGA overview and DIR sandbox).

Operational guardrails should mirror state/local playbooks: centralize model/product documentation, require human‑in‑the‑loop review, and adopt a short KPI set - disclosure compliance rate, pilot→scale conversion, processing‑time reduction, bias‑audit pass rate, and sandbox‑reporting cadence - so leaders can track the common failure modes MIT identified for GenAI pilots and improve vendor partnerships and integration choices (AI governance guide for state & local agencies).

Pair governance with workforce investment - practical reskilling reduces shadow AI and boosts pilot success; targeted courses like Nucamp's AI Essentials for Work bootcamp prepare nontechnical staff to write prompts, apply safeguards, and meet the “so what”: faster, auditable services for Houston residents.

ProgramLengthEarly‑bird Cost
AI Essentials for Work15 Weeks$3,582

“No matter the application, public sector organizations face a wide range of AI risks around security, privacy, ethics, and bias in data.”

Frequently Asked Questions

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What are the top AI use cases and prompts for Houston's government?

Key use cases include AI‑enhanced operations centers for contact and emergency centers (real‑time summaries, multilingual translation, sentiment analysis), document automation for healthcare discharge summaries, AI + 5G network optimization for first‑responder and event prioritization, edge wearables for multilingual field outreach, AI listening and social media automation for citizen engagement, open multimodal AI for public health research, large‑scale AI infrastructure planning, and bias mitigation in hiring/service delivery. Prompts focus on: summarizing calls and cases, translating and generating multilingual outreach, drafting discharge summaries from electronic records for clinician review, generating prioritized network remediation actions, producing accessible social posts and response templates, and running bias‑audit queries on recruitment/output.

How do these AI pilots translate into measurable benefits for Houston?

Selected pilots emphasize measurable KPIs: TCS/AWS contact‑center examples report up to +25% CSAT, +30% training effectiveness, and up to +35% agent productivity with reduced handling time. Other measurable outcomes include reduced processing time for benefits and discharge paperwork, faster incident detection and remediation (reduced MTTR) for networks, research acceleration using open multimodal models, and saved staff hours from automation. The article recommends tracking disclosure compliance rate, pilot→scale conversion, processing‑time reduction, bias‑audit pass rate, and sandbox reporting cadence.

What governance, legal and workforce steps should Houston take before scaling AI?

Adopt codified local guardrails: public inventories of AI use, human‑in‑the‑loop review, vendor auditability, and routine bias/privacy audits aligned to NIST best practices. Align programs to Texas Responsible Artificial Intelligence Governance Act (TRAIGA) and consider DIR sandbox options; note enforcement fines for uncurable violations. Establish an AI Governance Council to own vendor audits, documentation, and KPIs. Invest in practical reskilling (e.g., prompt‑writing and tool use courses for nontechnical staff) to reduce shadow AI and improve pilot success.

What selection criteria were used to pick the Top 10 prompts and use cases?

Selection prioritized measurable municipal outcomes: measurable ROI, data readiness, governance & workforce readiness, and a clear pilot→scale pathway. Criteria were informed by enterprise case studies (concrete cost and time savings) and public‑sector playbooks, with practical relevance to Texas and examples in transportation and energy used as tiebreakers.

How can Houston pilot low‑risk AI projects and evaluate whether to scale them?

Start with targeted, small‑scope pilots that have clear KPIs and data readiness (e.g., benefits processing automation, discharge summary drafting with clinician review, benefits‑enrollment kiosks with wearable translation). Use vendor partnerships and composable tools for faster integration, measure processing time, translation accuracy, privacy incidents, CSAT, and pilot→scale conversion. Require human review, audit trails, and a sandbox reporting cadence; reallocate training and pilot funds toward back‑office automation and frontline reskilling to convert pilots into budgeted programs.

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Ludo Fourrage

Founder and CEO

Ludovic (Ludo) Fourrage is an education industry veteran, named in 2017 as a Learning Technology Leader by Training Magazine. Before founding Nucamp, Ludo spent 18 years at Microsoft where he led innovation in the learning space. As the Senior Director of Digital Learning at this same company, Ludo led the development of the first of its kind 'YouTube for the Enterprise'. More recently, he delivered one of the most successful Corporate MOOC programs in partnership with top business schools and consulting organizations, i.e. INSEAD, Wharton, London Business School, and Accenture, to name a few. ​With the belief that the right education for everyone is an achievable goal, Ludo leads the nucamp team in the quest to make quality education accessible