Why This Matters

Before you invest in AI deployment, you need to know where you stand. Not every organisation is ready for AI — and deploying too early wastes money, erodes trust, and makes it harder to try again later.

This scorecard is the same assessment framework we use during Phase 1 of our 90-day deployment process. Score yourself honestly. The results will tell you whether you're ready to deploy, what you need to fix first, or whether you should wait.


How to Score

Rate each criterion from 1 (Not at all) to 5 (Fully in place). Be honest — inflated scores lead to failed deployments.

Dimension 1: Data Infrastructure

CriterionScore (1–5)
Core business data is digitised and stored in structured databases (not spreadsheets)
Data is updated regularly (daily or real-time) and reflects current operations
APIs or data export mechanisms exist for key systems (CRM, ERP, ticketing)
Historical data covers at least 12 months of operations
Data quality is monitored — duplicates, missing fields, and stale records are addressed

Dimension 2: Process Maturity

CriterionScore (1–5)
Core business processes are documented and standardised
Decision criteria for key processes are explicit (not tribal knowledge)
Exception handling has defined escalation paths
Process bottlenecks are identified and measured
There are clear KPIs for the processes you want to automate

Dimension 3: Team Capability

CriterionScore (1–5)
At least one team member can serve as the internal AI project owner
Operations staff are comfortable with digital tools and can provide feedback
IT/engineering team can support API integrations and system monitoring
Team is open to changing established workflows
Training and change management resources are available

Dimension 4: Leadership Alignment

CriterionScore (1–5)
An executive sponsor actively champions the AI initiative
Leadership understands that AI deployment is an operations project, not just a tech project
There is organisational patience for a 90-day deployment timeline
Success metrics are agreed upon at the leadership level
Leadership is prepared to invest in change management alongside technology

Dimension 5: Budget Readiness

CriterionScore (1–5)
Budget is allocated for both initial deployment and ongoing operation (not just a one-time project)
ROI expectations are realistic — not expecting 10x returns in month one
Budget covers integration costs with existing systems
There is budget for training and knowledge transfer
Contingency budget exists for unexpected integration challenges

Score Interpretation

Your Total Score

100–125 (Ready to Deploy): Your organisation has the infrastructure, processes, people, and leadership alignment for successful AI deployment. You're ready for Phase 1 of our 90-day process.

75–99 (Nearly Ready): You have strong foundations with 1–2 gaps that need addressing. A focused 30-day preparation phase can close these gaps before deployment begins.

50–74 (Foundation Building Needed): Significant gaps exist in data, process, or organisational readiness. Deploying AI now would likely fail. Invest 60–90 days in foundation work first.

25–49 (Not Yet Ready): Core infrastructure and organisational capabilities need development before AI deployment is viable. Focus on digitisation, process documentation, and leadership education.

What Comes Next

If you scored 75 or above, you're in a strong position to deploy. Book a discovery call and we'll walk through your scores together, identify the highest-impact deployment opportunities, and outline a concrete plan.

If you scored below 75, that's not a failure — it's useful information. We work with pre-deployment organisations to close readiness gaps before investing in AI systems. The worst outcome isn't a low score — it's deploying before you're ready and burning budget on a system that can't succeed.

Book a discovery call to get your organisation scored by our team and receive a personalised readiness roadmap.