ERN-AORA™
Find where AI can create measurable business value
ERN-AORA™ helps organisations assess business pain points, AI opportunities, data and process readiness, people and governance readiness, ROI potential, implementation risk and pilot priorities before scaling AI investment.
Assessment dimensions
Ten questions an AI investment decision has to answer
Assessment dimensionQuestion answered
- Business pain points
- Which problems are important enough to solve?
- AI opportunity
- Where can AI materially improve decisions, productivity, control or customer value?
- Data readiness
- Is the required data available, accessible and usable?
- Process maturity
- Is the process stable enough to automate or augment?
- Technology readiness
- Can existing architecture support the proposed use case?
- People readiness
- Are users prepared and capable of adopting the change?
- Governance readiness
- Are privacy, security, accountability and AI controls sufficient?
- ROI potential
- Is the value meaningful relative to implementation cost and effort?
- Implementation risk
- What could block or degrade the use case?
- Pilot recommendation
- What should be tested first and how should success be measured?
Deliverables
What you receive
Every output is written for an executive audience first, with the supporting detail available for technical and functional teams.
- Executive AI Readiness Scorecard
- AI Opportunity Map
- Prioritised Use-Case Portfolio
- Readiness Gap Analysis
- Value / feasibility / risk prioritisation
- Pilot recommendation
- 12-month AI transformation roadmap
Delivery flow
From business problem to scale
- 01Business problem
- 02Discovery
- 03Readiness assessment
- 04Use-case prioritisation
- 05Business case
- 06Pilot design
- 07Technology implementationPartner-enabled
- 08Adoption
- 09Scale
Start with the business problem, not the model
We can walk through your priority pain points and identify which AI use cases are worth assessing first.