Edumyze Logo
β˜… Anthropic Academy Trained

AI Adoption For Your Team

Your team stops being afraid of AI. They start outperforming with it.

Our team is trained through Anthropic's Academy, AI Fluency, agent skills, the Claude API, MCP, and Claude Code. We layer AI into your team's real workflows, train them to use it well, and measure the productivity gains, not pilot theater, not slide decks.

Most AI projects fail at adoption. Companies buy the tools, nobody uses them, the license lapses. We handle the part that actually matters: getting your people to use AI the right way, for their real work, every day.

Trained team collaborating

Anthropic Academy Trained

Trained across the programs most
agencies skipped.

We didn't read a blog post and call ourselves experts. Our team completed Anthropic's Academy training, AI Fluency, agent skills, the Claude API, MCP, and Claude Code. The real curriculum from the team that builds Claude. That's what we bring to your people.

The difference shows up in how your team uses AI. Not just "write me an email," but the prompting patterns, guardrails, and workflow integration that turn AI from a novelty into daily leverage.

Trained

By Anthropic Academy

6

AI adoption pillars

90D

From pilot to team-wide adoption

Six Pillars of AI Adoption

What it actually takes to get your team using AI well.

Most AI adoption fails because companies stop at β€œwe bought the license.” Adoption is a training problem, a workflow problem, and a measurement problem. We handle all three.

Team brainstorming on whiteboard

AI Fluency Training

We teach your team the same curriculum Anthropic teaches us. Prompting patterns, tool selection, when to use AI, when not to, and how to spot bad output.

  • β€’ Live training sessions tailored to your team
  • β€’ Role-specific prompting playbooks
  • β€’ Hands-on practice with real work
  • β€’ Refresher cohorts as new hires join

Workflow AI Integration

We identify which of your team's existing workflows gain most from AI and integrate the right tools into those exact flows, not a separate new app nobody opens.

  • β€’ Workflow audit + highest-leverage AI map
  • β€’ Integration into current tools (no rip-and-replace)
  • β€’ Guardrails for sensitive work
  • β€’ Rollout sequencing by team

Custom Internal AI Tools

We build internal AI tools specific to how your team works: contract reviewers, intake summarizers, research assistants, proposal drafters. Trained on your voice and your data.

  • β€’ Custom prompts + agents for your use cases
  • β€’ Trained on your documents and brand voice
  • β€’ Built inside Claude, ChatGPT, or your stack of choice
  • β€’ Iterated based on real team usage

AI Policy + Governance

What data can go in, what can't, who has access to what, how outputs get reviewed. We write the policy with you, train the team on it, and make enforcement practical.

  • β€’ Data classification + AI-use rules
  • β€’ Review and approval workflows
  • β€’ Vendor + model selection guidance
  • β€’ Compliance alignment (HIPAA, legal, financial)

AI Champion Programs

We identify + train internal AI leads inside your team so adoption sticks after we hand off. The champions keep momentum going, field questions, and surface new use cases.

  • β€’ Champion selection + certification
  • β€’ Weekly sync during rollout
  • β€’ Playbook for onboarding new team members
  • β€’ Handoff plan for long-term ownership

Measurement + Iteration

We track which workflows got faster, which outputs got better, which team members adopted, and which didn't. We iterate until the numbers move, or we haven't done our job.

  • β€’ Baseline + post-adoption productivity metrics
  • β€’ Usage analytics per team member
  • β€’ Quality scoring on AI-assisted work
  • β€’ Quarterly iteration cycles

How Adoption Happens

From β€œwe bought ChatGPT” to β€œour team actually uses it.” 90 days.

Two phases. Audit and pilot first, then team-wide rollout with training, champions, and measurement.

Phase 1
01

WEEKS 1-4

Audit + Pilot Design

We audit your team's actual workflows, find the 2-3 highest-leverage AI use cases, train the first cohort on Anthropic's AI Fluency curriculum, and run a focused pilot. Not a deck. Real work.

  • βœ” Workflow audit: where AI saves the most time per team
  • βœ” First-cohort AI Fluency training (official Anthropic curriculum)
  • βœ” 2-3 high-leverage pilots running with baseline metrics
02

WEEKS 5-12

Team-Wide Rollout + Adoption

Training expands to the full team. Internal champions take the lead. Custom tools get built for your top workflows. We measure adoption weekly, iterate on what's working, and retire what isn't.

  • βœ” Team-wide Fluency training + policy rollout
  • βœ” Internal champions trained to own long-term adoption
  • βœ” Custom internal AI tools built for your highest-value workflows
Phase 2

Why Edumyze

Most AI training is someone who read a Twitter thread.

Ours is a team trained through Anthropic's Academy that works with AI every day and measures adoption like it's a number on a P&L. Because it is.

01

Anthropic Academy Trained

Our team completed Anthropic's Academy programs, AI Fluency, agent skills, the Claude API, MCP, and Claude Code. The official curriculum from the company that builds Claude. That means we teach your people the prompting patterns, guardrails, and reasoning frameworks that actually work in the real world. Not blog-post AI.

  • β€’ Anthropic Academy-trained team
  • β€’ Real prompting patterns + safety, not guesswork
  • β€’ Continuous updates as Claude evolves
02

We do it with your team

Adoption fails when AI is handed over in a deck. We sit with your people, on their real tools, doing their real work. Training becomes muscle memory, not a memory of a seminar.

  • β€’ Hands-on training on real tasks
  • β€’ Role-specific prompting playbooks
  • β€’ Champions trained for long-term ownership
03

Measured adoption, not vibes

We track which workflows got faster, which people actually use AI, which outputs improved. If the numbers don't move, we iterate, or we didn't do our job.

  • β€’ Baseline + post-adoption productivity metrics
  • β€’ Usage analytics per team member
  • β€’ Quality scoring on AI-assisted work

How It Fits

AI Adoption is its own engagement. Or bundled inside Growth Engine.

If you just want your team trained and your workflows AI-ready, we run AI Adoption as a standalone engagement. If you also want us running growth (agentic SEO, AI ads, AI content), it's included inside the Growth Engine tiers.

Standalone AI Adoption

Audit, training, integration, custom internal tools, champions, measurement. Scoped to your team size and workflow count.

Inside Growth Engine Scale

($4,550/mo)

Core AI Fluency training + workflow integration for your team, alongside agentic SEO and AI media running externally.

Inside Market Leader

($10K/mo)

Full AI adoption + custom internal tools + champions + measurement. Plus the dedicated pod running growth for you.

Public Market Examples

How large operators are applying AI inside the business

Representative public examples of organizations using AI in finance, workforce coordination, and operational workflows.

These examples are public references, not direct Edumyze client disclosures.

Chocolate and retail products

Finance operations supported by AI analytics

Nestle has described how its finance teams use standardized data and advanced analytics to improve forecasting and automate reporting-heavy work, creating more room for strategic decision-making.

Forecasting

Analytics-led

Reporting

Automated workflows

Decisioning

More strategic focus

View public source β†—

Workforce coordination with AI tools

Walmart has publicly highlighted AI systems for task prioritization and multilingual support, showing how large operators use AI to improve coordination across high-volume, distributed environments.

Task flow

Al-directed prioritization

Communication

Multilingual support

Operating scale

Distributed workforce coverage

View public source β†—
Workforce and logistics coordination
Team exploring AI playbooks

WHERE AI HELPS YOUR TEAM

Every function has an AI adoption curve. We handle all of them.

From legal to sales to internal docs, the AI adoption patterns differ. We bring role-specific playbooks to each, not a one-size-fits-all workshop.

Legal + Compliance

Contract review, case research, first-draft briefs, deposition summaries, policy drafts. With the right guardrails so privileged material stays privileged.

  • β–  Contract + clause analysis assistants
  • β–  Case research + citation drafting
  • β–  Compliance policy drafting + review

Marketing + Brand

Campaign briefs, content drafts, audience research, creative variations, competitor analysis. Trained on your brand voice so output doesn't sound like every other AI blog.

  • β–  Brand-voice content drafting
  • β–  Campaign brief + creative generation
  • β–  Competitive + audience research

Operations + Finance

SOP drafting, meeting summaries, report narratives, variance analysis, data cleanup. The invisible desk work that eats managers' weeks.

  • β–  SOP + playbook drafting
  • β–  Report narrative + variance analysis
  • β–  Document cleanup and reformatting

Sales + Business Development

Prospect research, call prep, proposal drafting, follow-up sequences, pipeline notes. The prep work that reps usually skip.

  • β–  Prospect research + call briefs
  • β–  Proposal + SOW drafting
  • β–  Personalized follow-up sequences

Customer Service + Support

Ticket triage, response drafts, knowledge-base building, escalation summaries. Human review on final send, AI on everything before it.

  • β–  Response drafting + tone tuning
  • β–  Knowledge-base authoring + updates
  • β–  Ticket triage + categorization

Internal Documentation + Knowledge

Meeting notes, project summaries, wiki authoring, onboarding docs, decision logs. The institutional memory that usually lives in one person's head.

  • β–  Meeting summarization + action items
  • β–  Wiki + onboarding authoring
  • β–  Decision log + project summaries

Common Questions

What teams usually ask before starting.

Straight answers on what our Anthropic Academy training means, how adoption actually gets measured, and how AI Adoption fits with the rest of what Edumyze does.

Our team completed Anthropic's Academy programs, AI Fluency, agent skills, the Claude API, MCP, and Claude Code. Not a weekend workshop. Not a blog post we read. The official curriculum from the company that builds Claude, and we sit with your people on their real work to make the training stick.

Anthropic (the company that builds Claude) runs an Academy of official training programs, AI Fluency, agent skills, the Claude API, MCP, and Claude Code. Our team completed them. The real curriculum, from the source, not a summary we pieced together online.

Teams and companies whose people need to actually use AI inside their daily work. We’ve trained legal, marketing, operations, sales, customer service, and finance teams. If your team has licenses for ChatGPT, Claude, or Copilot but barely anyone uses them, you’re the right fit.

No. We work with the AI tools you already use (Claude, ChatGPT, Copilot, Gemini, or anything else) and the workflow tools your team is already in. If you don’t have AI licenses yet, we help you pick the right ones for the least cost. No rip-and-replace.

Baseline productivity metrics before we start. Post-adoption metrics at 30, 60, and 90 days. Usage analytics per team member. Quality scoring on AI-assisted work. If the numbers don’t move, we iterate until they do, or we haven’t earned the engagement.

AI Adoption is about your team using AI (internal). AI Growth Services is about AI bringing clients to you (external): agentic SEO, AI ads, AI content, answer-engine visibility. They’re separate services. Most clients start with one and add the other later. Scale and Market Leader Growth Engine tiers include AI Adoption bundled in.

Still have questions? Book a call and we'll answer them in plain English.

Book an AI Adoption Call

Next Step

Book an AI Adoption Call.

30 minutes. We audit where your team is with AI today, identify the highest-leverage workflows to adopt first, and recommend a pilot. No pitch slides.

Book an AI Adoption Call

Anthropic Academy-trained AI training + team enablement

We look at which tools your team has, which workflows are eating the most time, and where AI would change the math fastest. You leave with a pilot recommendation. No pitch slides.

-Current AI tools + usage audit
-Top 3 highest-leverage workflows identified
-Pilot recommendation + scope fit

Anthropic Academy trained. Available as a standalone engagement or bundled inside Growth Engine tiers.