AI Fluency Baseline for Teams

AI Fluency Baseline for Teams

Understand your team’s current AI Fluency: the ability to govern the consequences of collaboration with AI. Use AFA Coach to improve continuously and AFA Assessment to measure progress periodically.

Continuous improvement

AFA Coach

Guided practice, reflection, and feedback loops that help people improve how they collaborate with AI over time.

Measurement

AFA Assessment

Structured evaluation of AI Fluency at meaningful moments, with feedback that supports individual and team development.

Proof layer

Skill Accolades

Proof-ready recognition for demonstrated AI Fluency when evidence reaches the required standard.

Why teams need this

Most AI metrics miss fluency.

Usage, output volume, and training completion can all rise while the ability to govern AI collaboration remains invisible. AFA makes AI Fluency visible without exposing the proprietary diagnostic model.

Usage is not fluency

AI activity can increase without showing whether people are governing the collaboration well.

Output is not fluency

A polished artifact does not prove that the person governed the process that produced it.

Completion is not fluency

A course certificate shows exposure. AFA looks for evidence from structured collaboration.


What the team baseline gives you

The baseline is a practical current-state view. It helps leaders understand where AI Fluency is strong, emerging, brittle, or dependency-prone — and what to improve next.

  • Team-level AI Fluency profile
  • Evidence-based strengths and improvement areas
  • Signals that indicate dependency risk or capability growth
  • Coaching priorities for teams, managers, or L&D leaders
  • Optional re-measurement after improvement interventions
  • Optional Skill Accolades for proof-worthy demonstrated fluency
Confidential model

Clear feedback without revealing the scoring engine.

AFA reports are designed for improvement and decision support. The underlying diagnostic dimensions, algorithms, weights, and thresholds remain non-public to preserve assessment integrity and reduce gaming.

Publicly, the model is simple: AFA measures both the process and the outcome of collaboration with AI as evidence of AI Fluency.


How the improvement loop works

01

Configure

Align to your team context, role realities, and the decisions the work should support.

02

Coach

Use AFA Coach to build better AI Fluency habits through practice and reflection.

03

Assess

Use AFA Assessment to measure fluency through structured collaboration tasks.

04

Report

Receive team-level insights, strengths, risks, and prioritized next steps.

05

Re-measure

Repeat after interventions to see whether fluency is improving.


Engagement options

Baseline

2–3 weeks

Team Fluency Baseline

Establish the current state of AI Fluency and identify what to improve first.

  • Structured assessment
  • Team-level profile
  • Priority improvement areas
Loop

4–8 weeks

Coach + Assess Pilot

Combine continuous improvement through AFA Coach with periodic AFA Assessment.

  • Coaching loop
  • Assessment checkpoint
  • Evidence-based progress readout
Program

Quarterly

Agentic Readiness Program

Use recurring AI Fluency measurement to support AI-enabled work at scale.

  • Periodic measurement
  • Trend insights
  • Governance and enablement support

Who this is for

  • Teams adopting AI across knowledge work
  • L&D leaders who need evidence beyond completion
  • Transformation leaders preparing AI-enabled work practices
  • Hiring or internal mobility contexts where AI signals are noisy
  • Managers who want capability development, not only activity reporting
  • Organizations moving from experimentation to governed AI adoption

Request a Team Fluency Baseline

Tell us what you are trying to understand: AI adoption, team capability, L&D impact, hiring signals, or readiness for more AI-enabled work.


FAQ

Is this another AI training course?

No. AFA Coach can support improvement, but AFA Assessment provides structured measurement of AI Fluency. Together, they create a practice-measure-improve loop.

Do you publish the scoring model?

No. The underlying diagnostic dimensions, weights, and thresholds remain proprietary. Reports provide useful feedback, bands, and evidence-based insights without revealing the model.

Why use the word baseline for teams?

For teams, the baseline is a current-state view used to guide improvement and re-measurement. For individuals, the assessment can still produce an AI Fluency Score and feedback.

What do teams receive?

A team-level AI Fluency profile, evidence-based strengths and improvement areas, coaching priorities, and optional re-measurement after interventions.