Open for Work
Service 00 • Enablement • Tier 0 — Entry Point

AI Fluency Enablement

Build organisational capability for effective human-AI collaboration

The Problem

78% of AI project failures stem from poor human-AI communication, not technology limitations. Your team has access to powerful AI tools but lacks the structured approach to use them effectively.

Individual experimentation produces inconsistent results. Without shared vocabulary and methods, teams can't build on each other's discoveries. Shadow AI usage creates security risks. The gap isn't access to AI—it's capability to use it well.

The Approach

  1. Foundations — Mental models for human-AI collaboration. Understanding context windows, token economics, and why prompt structure matters. The shift from "prompt engineering" to "context engineering."

  2. Patterns — Practical techniques: zero-shot vs. few-shot prompting, chain-of-thought reasoning, role-based approaches, output formatting. Hands-on practice with real work tasks, not generic exercises.

  3. Application — Role-specific workflows: operations (meeting summaries, documentation), marketing (content drafts, campaign ideation), analysis (data interpretation, report generation). Custom prompt templates for your recurring tasks.

00A: AI Fluency Workshop
Half-day intensive for 4–12 participants. Immediate competency and shared vocabulary.
4 hours
00B: AI Enablement Program
4–6 week program: 4 × 90-min sessions + async practice + office hours. Embedded capability.
4–6 weeks
00C: Individual Consultation
1:1 sessions customised to role and challenges. Personal AI fluency and workflow optimisation.
As needed
Claim Source Quality
78% of AI failures stem from human-AI communication issues ProfileTree 2025 Industry Analysis Moderate
Certified prompt engineers command 27% higher wages LinkedIn Job Posting Analysis 2024 Moderate
6-week programs outperform 3-day intensives for retention AI For Business Training Center 2025 Moderate
Only 14% of frontline employees receive AI training Boston Consulting Group 2024 Strong

Fit Assessment

Works Well When

  • Team uses AI ad-hoc without consistent methods
  • Organisation wants AI adoption but lacks internal capability
  • Prior AI projects failed due to user adoption issues
  • Budget allows skills investment before implementation
  • You're building relationship before larger engagement

Not Appropriate When

  • You need specific AI solutions, not general skills
  • Team is too small (1–2 people) for group workshop
  • Organisation has no intention of using AI beyond training
  • You expect workshop alone to transform operations
Honest Assessment
Workshop-style training has moderate evidence for skill development. Single-session workshops provide awareness and vocabulary but won't transform capability alone—real change requires sustained practice. Free resources exist (Anthropic Academy, OpenAI Academy, Coursera), so our value comes from role-specific application and hands-on work with your actual tasks, not generic curriculum. The 4–6 week program format delivers measurably better retention than intensives.

Engagement Details

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