Readiness Assessment
- Four-axis literacy scorecard
- ADKAR change readiness
- Data and governance audit
ENABLEMENT & EDUCATION
The skills, culture, governance, and data foundations your workforce needs to turn AI from a pilot project into a lasting capability, from executive literacy to Agentforce builders.
AI investments do not fail because the technology isn't ready. They fail because the workforce isn't.
Before a pilot can scale, before adoption can stick, and before governance can hold, your people need literacy and your data needs a foundation. Skipping enablement is the most expensive shortcut in AI. The numbers make the case by themselves.
87%
AI projects fail before production due to people and data challenges
70%
Organizations lack the internal AI skills required to scale effectively
3x
Faster adoption and ROI with trained teams and stronger change readiness
15–20%
AI project budgets should support change management and investment protection
Enablement follows a five-phase journey drawn from our Workforce and Change practice:
Baseline AI literacy, workforce readiness, data maturity, and governance against ADKAR, OMB M-25-21, and NIST AI RMF.
Build the curriculum, change plan, AI CoE model, and data roadmap tailored to agency roles and priorities.
Prepare leaders, champions, and teams, then deliver role-based training, tools, labs, and AI-ready workflows.
Measure adoption, run train-the-trainer programs, transition the AI CoE internally, and refresh capability as AI evolves.
A workforce enablement package that turns AI investment into lasting capability, from executive literacy to internal Centers of Excellence.
AI succeeds when people have the skills, workflows, and support to use it effectively.
Most failed AI initiatives stem from poor enablement, training, and workforce readiness.
Executive alignment determines whether managers commit and frontline teams adopt AI successfully.
Train-the-trainer programs, internal CoEs, and playbooks create long-term organizational capability.
AI succeeds when people have the skills, workflows, and support to use it effectively.
Most failed AI initiatives stem from poor enablement, training, and workforce readiness.
Executive alignment determines whether managers commit and frontline teams adopt AI successfully.
Train-the-trainer programs, internal CoEs, and playbooks create long-term organizational capability.
Let's build the capability that outlasts any single project.