A practical change and enablement program that turns new tools into new ways of working, with measurable adoption and faster time to proficiency.
Make AI adoption real across teams
AI creates value only when people use it well. We design change, communication, and training as part of delivery, so adoption is built in, not bolted on. Leaders see evidence of usage, quality, and safety, while teams gain confidence and capability.
Why This Matters
Outcomes you can expect
Clear roles and behaviors for working with AI
Faster time to proficiency for priority roles
Consistent usage with policy and controls inside the workflow
Measurable improvements in lead time, quality, and predictability
What We Deliver
Change strategy and message map aligned to executive goals, risks, and benefits
Stakeholder and impact analysis with role-based adoption plans
Enablement plan with curriculum, quick references, and office hours
Champions network and community of practice for peer support
Communication kit emails, leader talking points, slides, and short videos
Adoption dashboards usage, proficiency, and support signals
Policy to practice prompts, do and do not examples, and approvals inside tools
Engagement Flow
Discover and align, one to two weeks
Assess current behaviors, tools, and risk posture. Identify target roles, required skills, and adoption barriers. Align on success measures and cadence.
1
Design the program, two to three weeks
Define role-based outcomes, competencies, and learning paths. Build the change story, message map, and leader enablement. Plan measurement and feedback loops.
2
Enable and Launch, two to four weeks
Deliver training and quick references. Stand up champion network, office hours, and help channels. Start dashboards for usage and proficiency.
3
Reinforce and scale, ongoing
Iterate content based on real usage and support data. Hand off to internal owners. Expand to the next groups with lessons learned.
4
Training That Sticks
Role based modules tailored for product, operations, risk, IT, and customer teams
Hands on labs with your tools, your data, and your controls
Job aids checklists, one pager, and prompt libraries
Micro learning short videos and exercises for busy schedules
Leader enablement decision guides, talking points, and review rhythms
Sample curricula
Working with AI safely and effectively
Evaluating quality, cost, and latency
Retrieval over knowledge and prompt patterns
Change operations and support workflows
Measuring adoption and improving outcomes
Metrics We Track
Adoption and active usage by role
Time to proficiency and satisfaction
Reduction in rework and support tickets
Objective completion and variance to plan
Evidence of control compliance
Roles and Responsibilities
Executive sponsor communicates vision and removes blockers
Change lead coordinates the program and measurement
People leaders coach behaviors and reinforce decisions
Champions provide peer support and collect feedback
Risk and security partners validate guardrails and evidence
Our enablement team builds content and coaches on the job
Formats and Options
Quick Start Enablement: four to six weeks for a single division
Enterprise Program: six to twelve weeks across multiple groups
Advisory Add on quarterly reviews of adoption, policy, and content
Pod Integration: pair with AI Infused Transformation Pods for delivery and capability transfer
Commercial terms can be aligned under MSA, SOW, and NDA.
FAQs
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We instrument usage in the workflow and track proficiency with simple assessments and leader feedback.
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Yes. We provide SCORM friendly assets and can host if needed.
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Yes. We bake policy into content and reinforce controls with job aids and reviews.
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Yes. We can adapt examples, terms, and schedules for each region or business unit.