Readiness
Understand the current state.
ExploreHow RUDI Works
We help your organization assess, learn, and implement AI.
We review how your teams work, identify useful applications, and help you choose, test, and introduce AI with the right training and oversight.
The full transformation
Five stages of work we can support.
The readiness-to-implementation continuum describes the work. Human-centered, responsible, and governed describe how RUDI approaches every stage.
Strategy
Decide where AI should create value.
ExploreEnablement
Equip people, teams, and systems.
ExploreAdoption
Turn capability into changed work.
ExploreImplementation
Put technology into production.
ExploreHuman-centeredResponsibleGoverned
The RUDI Method
Assess. Learn. Apply.
We organize the engagement around three stages. The depth of each stage depends on the work your team needs to do.
01 · Assess
Understand current AI use, listen to employees, map a real task, and agree on priorities and a useful starting point.
02 · Learn
Prepare approved tools and practical rules. Build skills through relevant tasks, with support for different starting points.
03 · Apply
Test the workflow, agent, or application with a responsible human owner. Review quality and effort, then decide what to improve or expand.
The philosophy
Three commitments across every engagement.
People + Work
Human-centered AI
Involve the people whose work will change and evaluate how AI affects their decisions, workload, and relationships.
Explore the philosophyRisk + Judgment
Responsible AI
Give each AI workflow a responsible human owner. Use RESPECT to check equitable access, safety, privacy, effectiveness, control, and transparency.
Explore responsible AI and RESPECTEvidence + Action
The RUDI Method
Assess your starting point, learn through practical work, and apply what the team learns. Ten steps guide the work within those three stages.
Explore the methodWhat RUDI believes
How we make decisions with your team.
AI should augment judgment before it replaces decisions.
Organizations need explicit understanding of where people remain accountable and how AI inputs are evaluated.
Evaluate AI on a specific task or workflow.
Broad technology claims become meaningful only when connected to actual tasks, information, decisions, handoffs, and outcomes.
Give your team the skills to manage the work.
Outside expertise should leave leaders and teams better able to understand, decide, implement, govern, and learn.
Put data rules and review steps into the workflow.
Principles matter when they shape access, workflows, review practices, permissions, metrics, and escalation.
Measure results during pilots and after launch.
Pilots and deployments should produce learning about value, quality, risk, user behavior, and the conditions required to scale.
Start with the questions your organization actually faces.
RUDI will help determine whether the next step is readiness, strategy, enablement, adoption, implementation—or a connected engagement.