The Engagement Arc & Opportunity Radar
One page mapping every finding onto your delivery pipeline — plus the templated lead-magnet.
AI Strategy & Implementation · Expert · 7 min read · 4 quiz questions
By Ronan Liedmeier, fractional head of growth and course author · Reviewed 13 October 2026
What you will learn
- The whole volume in four sentences
- Radar mechanics
- Discovery
- Opportunity scoring
- ROI
Lesson preview
Most AI initiatives fail for documented, avoidable reasons: generic tools, shallow integration, no organizational learning, no measurement. The winners pick narrow high-friction workflows, integrate deeply, keep expert humans in structurally designed loops, and let system and organization compound together. Every stage of that playbook is operationalized by an artifact you already build. Most AI initiatives fail for documented, avoidable reasons: generic tools, shallow workflow integration, no organizational learning, and no honest measurement. The initiatives that succeed share a consistent pattern: they pick narrow, high-friction workflows; integrate deeply into how those workflows actually run; keep domain experts in structurally designed human oversight roles; and let both the system and the organization compound their learning over time. Every stage of that playbook maps directly onto an artifact you already build — the Opportunity Radar, the ROI model, the risk register, the eval harness. None of it requires inventing new deliverables. The consultant who can cite the research behind each decision AND ship the technical system is selling the only version of 'AI strategy' that the evidence actually supports. The Opportunity Radar is designed to reach a defensible decision in 45 minutes — either solo or in one working session with a client. You finish with three outputs: a ranked shortlist of opportunities, a named list of readiness gaps that become your engagement scope, and a 90-day proof plan with pre-agreed verdict criteria. Every step is grounded in published research — MIT, HBS, OpenAI, Anthropic, NIST — and every step directly neutralizes one of the failure modes the MIT NANDA study documented. That research grounding is what separates this from the dozens of other 'AI readiness checklists' sitting in your prospect's inbox. The citations aren't decoration; they're the differentiator.
Frequently asked questions
- Who is "The Engagement Arc & Opportunity Radar" for?
- This Expert module in AI Strategy & Implementation is for operators, founders and growth teams who run AI in real work and want production-grade judgement. It takes about 7 minutes and ends with a 4-question quiz.
- Do I need to code?
- No. This module is about decisions, economics and implementation planning, so no coding is involved.
- What comes before and after this module?
- Before "The Engagement Arc & Opportunity Radar", take "Measuring What AI Is Worth" (module 10 of AI Strategy & Implementation). It is the last module of AI Strategy & Implementation; continue with another volume in the curriculum.
Unlock this lesson and the full academy
- Monthly€9.99 / month
- Yearly€69.99 / year
- Lifetime€129.99 one time
Loading your lesson…
Related modules
- PreviousMeasuring What AI Is Worth
The ROI question destroys more AI programs than any technical failure.
- Same topicThe Evidence Base: Why Most AI Initiatives Fail
The failure rate is not a technology story. Every major study lands on the same cause: organizations that don't learn.
- Same topicCompeting in the Age of AI
Iansiti & Lakhani's frame, translated to your clients' scale.