For Organizations Case Study Collection
Customized Training Custom AI Development Case Study Collection

Customized Training.
Custom AI Development.

Three Organizations. Three Engagements. Three Operational Wins.

Three documented engagements where 24/7 Teach used the Co-Creation Process — Align, Define, Govern, Do, Reflect — to build practices, platforms, and systems that survive our exit. Real artifacts, real outcomes, owned by the people closest to the work.

For Organizations
$28K/yr
Saved at Brooker — consultants eliminated in 3 areas
Live
AI intervention platform deployed in Legacy classrooms
96%
Of engagement goals met at Tempest Roofing

Why these stories matter

Three engagements. One methodology.

Most consulting engagements peak at launch and decay from there. The three engagements below were designed to do the opposite — to compound after we exit. That's because we don't arrive with a finished product and ask for input. We build the work with the people who will own it.

Every engagement followed the 24/7 Teach Co-Creation Process: Align, Define, Govern, Do, Reflect. The cases below show what that looked like inside a K-5 charter that wanted to fire its consultants, a K-8 charter that wanted an AI platform built for its actual workflows, and a commercial roofing contractor sitting on a significant pipeline it couldn't convert.

Case Study 01 · Customized Training · AI Literacy

Brooker Community School — AI literacy training that eliminated consultant dependence.

A K-5 charter school in Florida moved from consultant-dependent to staff-led across curriculum, purchasing, and PD design — with AI literacy built into the team's everyday practice.

“They didn't give us enough time, and they didn't train us on it. I didn't do a good job.”

— Brooker Community School teacher, on curriculum work before the engagement

The Challenge

Externally dependent. Disconnected from students.

Brooker Community School relied on outside consultants for three of its most consequential operational functions: curriculum development, purchasing decisions, and Professional Development design. The model was expensive, externally dependent, and disconnected from the people closest to students.

Teachers were handed curriculum decisions without the time, the training, or the modern tools to own them. Leadership wanted that to change. They wanted teachers to lead curriculum work, not just receive it. That meant two things had to happen at once: teachers needed AI literacy to research and evaluate materials at speed, and they needed a shared rubric and language to make those decisions confidently.

Our Approach

AI literacy taught inside real curriculum decisions.

24/7 Teach partnered with Brooker's K-5 instructional team, led by teacher partner Madeline W. and school administrator Dr. Lashley, using our Co-Creation Process. The engagement layered AI literacy training directly into the curriculum vetting work — teachers weren't learning AI in the abstract. They were learning it on the job, applied to real curriculum decisions they were already making.

  • Align. We interviewed teachers, paraprofessionals, and the school administrator to surface scheduling realities, curriculum pain points, existing AI familiarity, and existing strengths. Discovery shaped the design.
  • Define. Together with Brooker staff, we co-created a working definition of a curriculum vetting team member — including the skills, dispositions, AI fluency, and decision rights that role carries.
  • Govern. We developed the Guardian governance protocol so the school team could self-calibrate decisions, including how and when to use AI, after our engagement ended.
  • Do. We delivered a three-session Customized Training arc using blended learning: prework readings, live Zoom sessions, self-paced LMS modules, and post-session reflection. Teachers learned to use AI tools — including ChatGPT — to research curriculum vendors, analyze alignment to standards, surface scaffolding gaps, and pressure-test materials against their student profile. Every AI skill was practiced on live curriculum samples, not theoretical examples.
  • Reflect. We closed with pre- and post-session surveys, train-the-trainer coaching, and handoff artifacts that allowed Brooker to onboard new staff into the rubric and the AI workflows independently.

What We Built Together

Artifacts the team owns after we exit.

  • AI literacy training arc covering prompt design, source verification, bias awareness, and responsible classroom use
  • ChatGPT reference guide tailored to curriculum research and evaluation workflows
  • Curriculum Vetting Rubric anchored in Brooker's mission and student profile
  • Co-created definition of a curriculum vetting team member, including AI fluency expectations
  • Guardian governance protocol for sustained decision-making
  • Three-session blended Professional Development arc with facilitator guides
  • Pre- and post-session surveys, reflection materials, and train-the-trainer protocol

The Shift

From rubric users to curriculum evaluators.

By the end of the engagement, teachers weren't just using a rubric. They were thinking like curriculum evaluators, and they had AI fluency to do the work at a speed that was previously impossible.

“I've never really looked at curriculum the way that we are. Learned so much out of this whole thing.”

— Brooker Community School teacher

That shift in lens, paired with AI tools that compressed days of research into hours, is what made everything else possible. Teachers stopped waiting for outside experts to vet their materials. They started doing it themselves — with shared criteria, shared language, and AI as a research partner.

The Results

Decision-making and AI capability moved inside the building.

Brooker moved from consultant-dependent to staff-led across three critical functions, with AI literacy built into the team's everyday practice.

  • Curriculum Development. Teachers independently research, analyze, vet, and select curriculum using the co-created rubric and AI-assisted workflows.
  • Purchasing Decisions. Internal teams make informed buying calls without external review.
  • Professional Development Design. Staff design and deliver PD aligned to the school's instructional vision, with AI integrated into their planning process.
~$28K
Annual consultant spend eliminated
3
Operational areas moved in-house
K-5
Charter staff now AI-fluent

“Has made it so that I feel totally prepared. We're going to be like, 'Yeah, we're superstars, of course.'”

— Brooker Community School teacher

Leadership Testimonial

“24/7 Teach's training transformed the culture of our entire team. It empowered our teachers instructionally while helping us put meaningful dollars back into our budget.”

Dr. Lashley
Executive Director / Principal · Brooker Community School

Why It Worked

AI literacy taught inside real problems, not as a standalone topic.

AI literacy works when it is taught inside real instructional problems, not as a standalone topic. We did not run a workshop on prompt engineering and then leave. We taught teachers to use AI on the exact curriculum decisions they had to make anyway, with a rubric they helped build.

Co-creation is not consultation. We do not arrive with a finished product and ask for input. We build the artifacts with the people who will use them, so the work survives our exit. The Brooker team did not leave the engagement with a deliverable. They left with a practice, an AI-fluent staff, and the confidence to keep going.

“Everybody's just so valuable. We really have this in our corner to help us. So I think I give 2,000.”

— Brooker Community School teacher

Build AI-fluent, capacity-rich teaching teams at your school.

Case Study 02 · Custom AI Development

Legacy College Prep — a live AI intervention platform, built around their actual workflows.

A K-8 charter school in the South Bronx moved from buying generic intervention tools to owning an AI platform designed by the people who run the school.

“Admin voices were not consulted. They drove.”

— The Co-Creation Process at Legacy College Prep, in a sentence

The Challenge

Generic platforms designed for averages, not for this school.

Legacy College Prep Charter School in the South Bronx serves a K-8 student population that needs targeted, individualized intervention in ELA, Math, and SEL. Like most schools, the administration faced a real choice: keep stitching together off-the-shelf software that was never built for their context, or invest in something purpose-built around how their teachers and students actually work.

Generic intervention platforms missed the mark. They were designed for averages, not for the specific instructional priorities, student profiles, and operational realities of an urban charter school. The administration wanted an AI-powered intervention system that reflected their school's mission and integrated with the way their teachers already teach.

Our Approach

Administration in the driver's seat for every product decision.

24/7 Teach partnered with Legacy College Prep's administration through Zaynah Danquah, our Chief Product Officer, who led the co-design process directly with school leadership. The work followed our Co-Creation Process, with administration in the driver's seat for product decisions across every phase.

  • Align. An alignment meeting in September 2024 mapped school priorities, instructional gaps, and existing systems. The administration named what they needed: AI applications that could deliver real intervention in ELA, Math, and SEL, with a dashboard that gave teachers and leaders visibility into student progress.
  • Define. Zaynah met directly with Legacy's administration in working sessions. Admins guided decisions at every step on three dimensions: feature set, visual design, and product direction. A live admin demo in October 2024 captured the feature list as it was built in real time, with administrators reviewing live prototypes and shaping product decisions on the spot.
  • Govern. Governance protocols for student data, AI safety, and instructional fidelity. FERPA and COPPA compliance were built into the architecture, not added later.
  • Do. From September 2024 through January 2025, we built and deployed the platform — ELA, Math, and SEL intervention applications, teacher dashboard, administrator dashboard — with weekly check-ins and revised timelines as the work surfaced new realities.
  • Reflect. A post-launch check-in in late January 2025 closed the initial deployment phase and opened the ongoing paid pilot.

What We Built Together

A custom AI intervention platform — ELA, Math, SEL.

  • AI-powered ELA intervention application aligned to school standards and student profiles
  • AI-powered Math intervention application with skill-level routing and constructed-response grading
  • AI-powered SEL intervention application supporting whole-child development
  • Teacher dashboard with real-time visibility into student progress, intervention recommendations, and classroom-level data
  • Administrator dashboard with school-wide views, cohort analysis, and operational reporting
  • Role-specific 1-pagers and onboarding materials for teachers and administrators
  • FERPA- and COPPA-compliant data architecture with row-level security

The Shift

From buying generic tools to owning a platform built for this school.

Legacy College Prep moved from buying generic intervention tools to owning an AI platform built for their school. Decisions about what the platform does, how it surfaces data, and which students it prioritizes are made by the people who know the school — not by an outside vendor optimizing for the broadest possible market.

The Results

Five months from kickoff to live classroom deployment.

Live
In daily classroom use
3
Apps live · ELA, Math, SEL
5 mo
From kickoff to classroom launch
  • Active Deployment. Students across grades using AI-powered intervention applications in ELA, Math, and SEL.
  • Real Workflow Fit. Teachers and administrators using purpose-built dashboards designed around their workflows, not generic templates.
  • Admin-Driven Product. Administration voices captured in recorded co-design sessions and converted directly into product decisions.
  • Sustained Partnership. Paid pilot extension and ongoing iteration based on classroom feedback.

Leadership Testimonial

“24/7 Teach was outstanding to work with. They built us a customized in-house intervention platform that gave us exactly what we needed while helping us save much-needed dollars in our budget.”

Christian Toledo Mendez
Principal · Legacy College Prep Charter School

Why It Worked

The people closest to students drove the product.

Custom AI development works when the people closest to students drive the product — and when they have a dedicated partner who listens. Zaynah did not arrive with a fixed roadmap. She arrived ready to prototype, revise, and rebuild based on what Legacy's administration said the school actually needed. Every screen, every feature, every direction change traced back to a working session with the admins who would use it.

Most edtech vendors sell software. We build infrastructure for schools that want AI on their terms. The difference shows up in adoption, in classroom fit, and in whether the platform actually solves the problem the administration was trying to solve when they hired us.

Get an AI platform built around your school's actual workflows — not a vendor's roadmap.

Case Study 03 · Strategic Systems Design

Tempest Roofing — unlocking unrealized revenue through leadership and accountability systems.

A GAF Gold Elite commercial and residential roofing contractor sitting on a significant revenue pipeline it was under-converting. The fix wasn't marketing. It was inside the company.

“The CEO was carrying two jobs at once: driving growth and managing daily operations. The structural gap between those two roles was exactly where revenue was falling through.”

— The diagnosis at engagement kickoff

The Challenge

A significant pipeline. A low close rate. The gap wasn't outside the company.

Tempest Roofing had everything a high-growth contractor should have. GAF Gold Elite Contractor status. OSHA certification. A reputation strong enough to generate a significant revenue pipeline.

It was only converting a small fraction of that pipeline. Significant revenue was sitting in front of the company, unconverted. The opportunity was real. The fix was not in marketing or lead generation. It was inside the company.

The CEO was carrying two jobs at once: driving growth and managing daily operations. The structural gap between those two roles was exactly where revenue was falling through. Expectations were set verbally. Reps interpreted them freely. There was no follow-up system. Deals slipped. The CEO would intervene to recover them. The cycle repeated.

Our Approach

A four-layer optimization system, custom-built for Tempest.

24/7 Teach delivered a Strategic Growth Assessment followed by a custom optimization system designed specifically for Tempest's operational reality. We did not bring a generic sales training program. We built a four-layer leadership and accountability system grounded in how Tempest actually sells, runs operations, and grows.

The work followed our Co-Creation Process, with the CEO and his leadership team in working sessions across every phase: alignment, definition, governance design, execution, and reflection.

What We Designed

Four layers. Each one built to reinforce the next.

  • Layer 1 · Leadership Alignment. We codified "The Tempest Way" — non-negotiable process standards, closing expectations, and the accountability structure that frees the CEO to focus forward instead of constantly rescuing deals backward. Leadership decisions now flow through a defined system, not through verbal handoffs.
  • Layer 2 · Sales System Design. Structured modules covering the full sales motion: Pre-Inspection Prep, Consultative Proposal, Decision Path Close, and Follow-Up Protocol. Each module came with scripts, checklists, and scorecards at every stage. Reps stopped improvising. They started executing a defined system.
  • Layer 3 · Accountability Engine. Post-call self-scoring rubrics for reps. Manager review rubrics for the CEO's number two. CRM enforcement protocols. A weekly proposal review cadence. Execution became visible and measurable instead of assumed. When something missed the standard, the system surfaced it within days, not months.
  • Layer 4 · Coaching and Reinforcement. Micro-learning modules, scenario-based practice, and a structured coaching cadence so the system compounds over time. Most consulting engagements peak at launch and decay from there. This one was built to strengthen with use.

The Pattern Shift

From verbal expectations and CEO heroics — to a system that runs without them.

The pattern before

CEO sets expectations verbally. Reps interpret freely. No follow-up system. Deals fall through. CEO intervenes. The cycle repeats.

The pattern we built

Codified "Tempest Way." Structured sales process. Accountability scorecards. CRM enforcement. Visible execution. Scalable growth.

This is not a slogan. It is the actual operational rewiring that came out of the engagement.

The Results

96% of stated goals met. The CEO is no longer the bottleneck. The system runs.

96%
Of engagement goals met
Active
Pipeline now systematically pursued
4
Operational layers built and live
  • Leadership Alignment. "The Tempest Way" is codified and in use. Process standards, closing expectations, and accountability structure are no longer verbal.
  • Sales System. Reps run a defined sales motion (Pre-Inspection Prep, Consultative Proposal, Decision Path Close, Follow-Up Protocol) with scripts, checklists, and scorecards at every stage.
  • Accountability Engine. Self-scoring rubrics, manager review rubrics, CRM enforcement, and weekly proposal review cadence are all live. Execution is now visible and measurable.
  • Coaching System. Micro-learning modules, scenario-based practice, and structured coaching cadence are in place. The system reinforces itself instead of decaying after launch.

Leadership Testimonial

“24/7 Teach gave us the insight, strategy, and practical game plan we needed to make tremendous gains in our sales closing rates and operational efficiency.”

Steven L.
VP · Tempest Roofing

Why It Worked

We treated the revenue gap as a leadership and accountability problem — expressed through sales numbers.

Most growth consulting treats revenue gaps as sales problems. We treated Tempest's gap for what it actually was: a leadership and accountability problem expressed through sales numbers.

By fixing the operating system at the leadership layer first, every downstream layer — sales process, accountability, coaching — had something to plug into. The Tempest Way is now a real document, not a verbal expectation. The accountability engine runs without the CEO chasing it. Coaching compounds because the system is built to reinforce itself.

That is the difference between a sales-training engagement and a Customized Training and systems-design engagement. Tempest did not buy a playbook. They built one, with us, for their company.

Carrying a pipeline you can't convert? The fix is usually inside the company.

The pattern

Three different engagements. One method.

A K-5 charter that wanted to fire its consultants. A K-8 charter that wanted an AI platform built for its actual workflows. A roofer sitting on a pipeline it couldn't convert. Three different problems. Read together, they say the same thing.

01

Co-creation, not consultation.

We did not arrive with a finished product and ask for input. Brooker's rubric was built by Brooker's teachers. Legacy's platform was driven by Legacy's administration. Tempest's system was designed in working sessions with Tempest's CEO. We build the work with the people who will own it.

02

Governance built in, not bolted on.

Brooker got the Guardian governance protocol. Legacy got FERPA- and COPPA-compliant data architecture built into the platform from day one. Tempest got an accountability engine that surfaces gaps within days. Governance is not a deliverable. It is part of the system.

03

The work survives our exit.

Most consulting engagements peak at launch and decay. These were designed to compound. Brooker has a practice and an AI-fluent staff. Legacy has a platform that iterates with classroom feedback. Tempest has a coaching cadence that reinforces the system over time. The engagement ends. The capability stays.

Frequently asked questions

Customized Training, Custom AI Development, and Strategic Systems Design — answered.

Short answers to the questions organizations ask before they scope an engagement with us.

What kinds of organizations does 24/7 Teach build Customized Training and Custom AI Development for?

Schools (K-12 districts, charter networks), nonprofits, and enterprises. The case studies on this page cover a K-5 charter school in Florida, a K-8 charter in the South Bronx, and a commercial and residential roofing contractor. The common thread is co-creation: we build the practice, platform, or system with the people who will own it.

What is the 24/7 Teach Co-Creation Process?

A five-phase methodology used across every engagement: Align (interview stakeholders, surface pain points and existing strengths), Define (co-create the working definitions, roles, and decision rights), Govern (build governance protocols so the team can self-calibrate after we exit), Do (deliver the training, build the platform, or design the system in working sessions with the client), and Reflect (close with surveys, train-the-trainer protocols, and handoff artifacts so the work survives our exit).

How is Customized Training different from a generic AI workshop?

Generic workshops teach AI in the abstract. Customized Training teaches AI inside the real instructional or operational problems the team is already facing. At Brooker Community School, teachers learned AI by using it to vet real curriculum decisions they were already making — every AI skill was practiced on live samples, not theoretical examples. The result was an AI-fluent team and approximately $28K/yr in eliminated consultant spend.

What does Custom AI Development at 24/7 Teach actually look like?

Administration-led co-design of AI applications built around the school's actual workflows. At Legacy College Prep, the school administration drove product decisions across feature set, visual design, and direction in working sessions with our Chief Product Officer. The result was a live ELA, Math, and SEL AI intervention platform deployed in classrooms — with teacher and administrator dashboards and FERPA- and COPPA-compliant data architecture built in from day one.

Do you only work with schools?

No. Tempest Roofing is a GAF Gold Elite commercial and residential roofing contractor. 24/7 Teach delivered a Strategic Growth Assessment and a four-layer leadership and accountability system — leadership alignment, sales system design, accountability engine, and coaching cadence. The engagement met 96% of stated goals. The methodology that works inside schools also works inside high-growth contractors, nonprofits, and enterprise teams.

How long does an engagement take?

Engagements range from focused Customized Training arcs that run a few weeks (Brooker was March–April 2025), to multi-month Custom AI Development partnerships (Legacy began September 2024 and continues as a paid pilot), to ongoing systems-design and coaching engagements (Tempest began February 2026 and is ongoing).

What outcomes have 24/7 Teach engagements produced?

Brooker eliminated approximately $28,000 per year in consultant spend across curriculum, purchasing, and PD design, and the K-5 staff became AI-fluent. Legacy launched a live AI intervention platform in classrooms with ELA, Math, and SEL applications and admin and teacher dashboards. Tempest met 96% of engagement goals; their CEO is no longer the bottleneck, and the four-layer leadership and accountability system runs without daily intervention.

How do I scope an engagement with 24/7 Teach?

Start with a 30-minute working call. Bring the gap you are trying to close — we will outline a scope, a methodology, and a likely timeline. Book on the For Organizations page or click any "Scope an Engagement" button on this page.

For Organizations

Ready to build with us?

Brooker, Legacy, and Tempest each came to us with a different problem. The starting point was the same: a working session, not a sales pitch. Tell us where the gap is — we'll come prepared with what the engagement could look like.

Scope an Engagement

A 30-minute working call. Bring the gap you're trying to close — we'll outline a scope, a methodology, and a likely timeline.

Talk to Admissions

Not sure whether Customized Training, Custom AI Development, or Systems Design fits? Start here.

No pressure pitch. No boilerplate. Just an honest read on whether we're the right partner.