This booklet requires purchase access.

Enter the email you used to purchase, or buy the AIScorecard to unlock the full booklet.

No purchase found for this email. Please check the email or purchase below.
AIScorecard

AI Opportunity Assessment

A structured workshop to identify, score, and prioritize AI opportunities for your business

Part 01

Scope & Process Mapping

Before exploring where AI fits, define the landscape. What does your business actually do day-to-day? Which departments, teams, and workflows are in scope for this assessment?

Your Organization

Start broad. List the departments, teams, or business units that will be part of this AI assessment. Don't filter yet — include everything.

Departments & Teams in Scope

Core Processes

For each department, list the top 3-5 core processes. These are the workflows that, if improved, would meaningfully move the business forward.

Department 1
Department 2
Department 3

Facilitator tip: Give each department 5 minutes to list their processes independently, then share out loud. This prevents groupthink and surfaces processes that leadership may not be aware of.

Workshop Process Flow

Step 1Scope
Step 2Break Down
Step 3Pain & Value
Step 4Score
Step 5Plan
Part 02

Break Down Workflows

Take each core process from Part 1 and decompose it into individual tasks. AI doesn't replace entire processes — it improves specific, repetitive, data-heavy steps within them.

Process Decomposition

Pick your top 3 processes from Part 1. For each one, list every step involved — from trigger to completion. Be specific. "Handle customer inquiry" becomes: receive email → categorize issue → look up account → draft response → send response → log resolution.

Process 1: Name & Steps
Process 2: Name & Steps
Process 3: Name & Steps

AI Suitability Check

For each step, ask three questions:

  1. Is it repetitive? Does this step happen the same way, dozens or hundreds of times?
  2. Is it data-driven? Does it involve reading, classifying, or generating information?
  3. Is the cost of errors manageable? If AI gets it wrong 5% of the time, is that acceptable?

Key insight: The best AI opportunities are boring. They're the repetitive, time-consuming tasks that nobody wants to do but everybody depends on. If a step makes people say "I wish I didn't have to do this," it's probably a good candidate.

Part 03

Pain & Value Analysis

Not all pain is created equal. This section helps you quantify the actual cost of each bottleneck — in time, money, and strategic impact — so you can prioritize based on business value, not gut feeling.

Cost of the Current State

For each AI-suitable step identified in Part 2, estimate the current cost. Be honest — rough numbers are better than no numbers.

Task / Step Hrs/Week People Involved Error Rate Annual Cost Est.

Value Beyond Cost Savings

AI value isn't just about cutting costs. Consider:

Strategic Value Notes
Part 04

AI Opportunity Scoring

This is the core of the AIScorecard. Score each opportunity across four dimensions to create a prioritized, defensible list. No more "let's try everything" — you'll know exactly where to invest first.

Scoring Criteria

Rate each opportunity from 1 (Low) to 5 (High) on four dimensions:

Impact (1-5)

How much will this move the business forward? Revenue, cost savings, customer satisfaction, competitive edge.

Feasibility (1-5)

How technically achievable is this today? Consider available AI tools, integration complexity, and team capability.

Data Readiness (1-5)

Do you have the data needed? Is it clean, accessible, and sufficient? Or would you need months of data preparation?

Strategic Alignment (1-5)

Does this support your 12-month business priorities? Or is it interesting but off-roadmap?

Priority Scoring Grid

Opportunity Impact Feasibility Data Ready Alignment Total Priority

Scoring guide: Total 16-20 = High priority (start here). 11-15 = Medium (plan for Q2). 4-10 = Low (park it, revisit later). A score of 20 is the dream — high impact, technically feasible, data-ready, and strategically aligned. Don't expect more than 1-2 of those.

Your Top 3 Opportunities

Based on the scoring grid above, write your top 3 AI opportunities in order of priority:

#1 Highest Priority
#2 Second Priority
#3 Third Priority
Part 05

Governance & Next Steps

An AI project without governance is a liability. Before you start building, address the questions that will come up at the executive table — data privacy, risk tolerance, change management, and accountability.

Governance Framework

Data Privacy & Security

What data will AI systems access? What are the privacy implications?

Model Risk & Accuracy

What happens when the AI is wrong? What's the acceptable error rate?

Change Management

How will you bring affected teams along? Who champions this internally?

Budget & Resources

What's the investment needed? Who approves the budget? What's the timeline to ROI?

Executive Summary Builder

Use this to draft the one-page summary you'll present to leadership. Fill in each section:

Business Case (2-3 sentences)
Recommended First Project
Investment & Timeline

First 30 Days Checklist

Leave the workshop with a plan. Check off each item as you go:

Final thought: The companies that succeed with AI aren't the ones that adopt it fastest — they're the ones that adopt it most deliberately. You now have a scored, prioritized, governance-ready plan. That puts you ahead of 95% of organizations experimenting with AI. Go execute.

What's Next

Want a facilitator to run this with your team?

Optimaiz offers a half-day facilitated workshop where an experienced consultant guides your leadership team through the entire AIScorecard process — from scoping to a prioritized action plan.

Book a Workshop at optimaiz.ca →