AIRI Discovery & Prioritisation

You’ve measured your AI readiness. Now what?

The AIRI Decision Engine takes your organisation from scores to action — identifying, evaluating, and ranking your top AI projects in a single 40-minute workshop.

85–87% of AI projects fail — not because the technology doesn’t work, but because organisations pick the wrong projects, underestimate change management, or lack data readiness. The Decision Engine exists to fix that.

Pipeline

The 3-step pipeline

Data driven, not ego. The Decision Engine replaces subjective debates with a single transparent formula that weights what actually matters in AI project success:

1. 1

   Discover

   Gut feel · 2×2 matrix

2. 2

   Score & decide

   5-pillar scoring · AIRI DE formula

3. 3

   Prioritise

   Strategic judgement · Dot voting

Step 1 — Discovery matrix

Start with discovery

Before scoring anything, teams brainstorm real pain points and place project ideas on a simple 2×2 Impact × Feasibility matrix. This is a 1-minute gut-feel exercise — no rubrics, no arithmetic.Selection rule: pick 2 from Do This. If fewer than 2, pull from Moonshot first, Quick Win second. Never from Drop.

Step 2 — The AIRI Decision Engine

One formula, five pillars, complete clarity.

The ethics gate

Ethics is not optional. It is a multiplier.

P2 doesn’t add to the score — it multiplies the entire result. An organisation with no ethics framework gets zero, regardless of how strong everything else is.

The same gate runs the assessments themselves: your pAIRI and oAIRI overall levels are capped at your P2 level — STOP, CONDITIONS, GO. One ladder, one gate.

See it in action

Worked example

A mid-sized company evaluates deploying an AI chatbot to handle tier-1 customer queries.

1. 1. Feasibility:(0.7 × 2.50) + (0.3 × 3.75) = 2.875
2. 2. + Business Value:2.875 + 3.75 = 6.625
3. 3. + 2× Leadership & Culture:6.625 + (2 × 2.50) = 11.625
4. 4. × Ethics Gate:11.625 × 1 = 11.625
5. AIRI Decision Engine Score = 11.6 / 20 = 58%

A moderate candidate. Proceed with caution on weak pillars. P4 (Data Readiness at L2) is the bottleneck — improving data access would push the score significantly higher.

Reading the score

What the AIRI Decision Engine tells you

The theoretical maximum is 20. Here’s how to interpret where a project lands:

0

Ethics-killed

<25%

Very low — drop.

25–50%

Weak — significant gaps.

50–75%

Moderate — go! But watch out for weak pillars.

75–100%

Strong — high confidence! Prioritise and resource.

“It’s not a rejection, it’s a roadmap.”

Step 3 — Strategic judgement

Prioritise. The team decides what to champion.

After the top 3–5 projects are scored and presented, every participant votes silently across three strategic lenses. No discussion, no lobbying — just stickers on worksheets mounted on the wall. This is deliberate. The Decision Engine removes politics from evaluation. The dot vote adds back strategic intent — what leadership actually wants to invest in, knowing the readiness data.Rules: 2 stickers per round per person. Both stickers on one project = OK (signals conviction). No tallying between rounds — anchoring on the leader biases subsequent votes. Count everything at the end.

Tiebreakers: highest Impact count → highest DE Score → 3-minute discussion + show of hands.