Get Certified on Claude, OpenAI & Copilot.
AI Literacy & Enablement.
Personalized. Role-specific.
Enterprise-ready.
AI should amplify human capability. Return on Intelligence is created by what AI can do, what people can do with AI, and what both achieve together.
IN PRODUCTION. NOT IN THEORY. GET CERTIFIED ON CLAUDE, OPENAI & COPILOT.
The hype-to-utility transition, observed at scale
Drag the handle ↔ to reveal the Enterprise cohort
The Problem
Your organization is using AI. That doesn't mean it is realizing value.
AI adoption is accelerating at an unprecedented pace. The challenge is no longer access to technology. It is ensuring every employee has the capability, confidence, and context to apply it effectively. Without the right enablement, efficiency gains are lost, outputs require costly rework, and investments fail to translate into measurable business outcomes.
of time lost to rework when AI outputs are not validated by skilled users.
of value is lost through rework when AI-generated outputs are not validated by skilled users
per employee per year is spent fixing AI mistakes that better training would have prevented.
Run your own number
The multiplier on the smallest line item in your AI program.
Three sliders. Headcount, what a productive hour costs you, and how many hours per month each certified employee gets back. The output is the multiplier on the program cost. Most boards get this number wrong by an order of magnitude.
The model uses a fixed program cost per certified employee per year. Numbers update live as you move the sliders.
INDICATIVE MODEL. Reconciled to your data inside the AI Assessment.
Before vs After · The Training Delta
The same tools. The same people. A different result.
Every number below is the difference between a workforce with AI licenses and a workforce that has been trained and certified to use them. AI literacy is the smallest line item in your AI program and the one that decides whether everything else pays back.
Source: Adoption platform · 400+ enterprise cohorts · H1 2025
What we are. What we are not.
A workforce equipped with the skills, judgment, and confidence to apply AI effectively in day-to-day decision-making and execution.
What your AI can do.
Production AI built on the right model for the job, integrated into the workflows that move the numbers.
What your people know.
A workforce equipped with the skills, judgment, and confidence required to apply AI effectively in day-to-day decision-making and execution.
What they do together.
Human expertise amplified by intelligent systems. This is where sustainable competitive advantage is created. This is where Weaver focuses.
What we do
Four beams. One workforce. Measurable return.
AI Literacy & Enablement forms the foundation of every Weaver engagement. Designed to compound the value of deployed AI systems and continuously evolve alongside the technology frontier it enables organizations to build capability at scale while maintaining alignment with business objectives.
Role-specific AI capability development
Personalized learning experiences tailored to each employee's role, industry, and day-to-day responsibilities. Every exercise is generated from real business scenarios rather than generic training content. Learners receive real-time feedback, develop practical skills, and build capability directly within the context of their work. Three certification levels provide a structured path from foundational understanding to advanced proficiency.
Scale and institutionalize what works
The most valuable AI workflows, prompts, and agents often remain isolated within individual teams. AI Champions help identify, validate, and share best practices across the organization, transforming individual success into enterprise-wide capability.
Manage people and intelligent systems as one workforce.
As organizations deploy increasing numbers of AI agents, governance becomes as important as adoption. Leaders gain visibility into workforce capability, agent ownership, approved systems, and organizational readiness creating the foundation for responsible scale.
Move from AI spend to measurable return
Track adoption, productivity gains, quality improvements, agent utilization, and employee engagement across teams and business units. Measure where value is being created and align investment accordingly.
How we deliver
Training people will actually use.
Personalized to the work.
Employees learn through realistic scenarios directly relevant to their responsibilities. An accountant works through financial analysis. A salesperson practices customer engagement. A lawyer develops AI assisted research capability. Learning is contextual, practical, and immediately applicable.
Structured certification pathways
Three certification tiers Fundamentals, Proficiency, and Master provide a clear progression framework. Assessments are performance based, credentials are shareable, and annual recertification ensures capability remains current as the technology landscape evolves.
Ongoing capability acceleration
Quarterly workshops enable advanced practitioners to apply emerging AI capabilities to high value business challenges. Supported by an AI Center of Excellence, organizations build a sustainable capability development model rather than a one time training initiative.
Proof
Production outcomes, not pilot programs
What happens when 2000+ employees at a single enterprise complete the program.
A 2,000+ person cybersecurity enterprise turned certified employees into 15x power users.
Analysis of 2000+ trained users across 12,888 sessions. Certified employees moved from basic chat interactions to advanced custom agents, deep research, and analytical tools. Power users in some cohorts reached 400 to 700 chats per month.
usage uplift vs non-certified
more adoption of advanced features
of users achieve Distinction grade
of Mastery interactions use Custom Agents
report higher work quality after the rollout from 110 leaders to 2,500 employees.
reclaimed per week per civil servant on the Ministry of Justice 'AI for All' program.
less clinical documentation time at Guardian Recovery.
fewer nursing dropouts at Maryville with personalized AI tutoring.
One program. Many patterns.
The same program. Different seat in the room.
The CFO evaluates return on investment. The Chief People Officer evaluates workforce capability. The AI leader evaluates adoption and governance. The Private Equity operating partner evaluates value creation. The outcome remains the same: measurable Return on Intelligence.
The number your board can defend.
AI literacy is often the smallest investment within an AI transformation program. It is frequently the highest-returning one. We help organizations quantify that return before a single seat is deployed.
Fixed-fee. Fixed-scope. Fixed-timeline.
Program pricing agreed before Phase 3 begins. No change orders. No surprise overruns. The price you sign is the price you pay.
A dashboard built for the board pack.
Time saved, quality uplift, agents built, job satisfaction. By team. By tool. By role. The next quarterly review writes itself.
From cost to return.
Untrained AI is a cost (75% of time savings evaporate, 40% rework, $4,200 per employee per year in fix costs). Trained AI is a return. We move you from one to the other.
We leave. The value does not.
An AI Center of Excellence stood up inside your organization. Capability you own. No ongoing Weaver dependency. We don't benefit from dependency. We benefit from referrals.
Your most ambitious people are paying for this already.
Self-funded AI certification is the fastest-growing line item on the LinkedIn Learning side of the market. If your top performers are doing this on their own, you have a retention problem before you have a capability problem. We fix both at once.
Take the next step
Your most ambitious people are already paying for this themselves.
"The only thing worse than enabling your employees and having them leave, is not enabling them and having them stay."