Free AI Readiness Checklist for SMEs in MENA & Africa [Download]

The Complete AI Readiness Checklist for MENA & African SMEs

Before committing to an AI transformation journey, it is essential to assess your organization’s readiness across multiple dimensions. This checklist—developed from Hunter BI’s experience deploying AI solutions for 100+ businesses across Morocco and Africa—provides a systematic framework for your AI readiness evaluation.

Section 1: Data Infrastructure Checklist

Data is the foundation of AI. Check each item that applies to your business:

• Customer data is stored in a digital system (CRM, database, spreadsheet)
• At least 12 months of customer transaction history is available
• Financial data is digitized (not just in paper records)
• Operational KPIs are tracked consistently (sales, inventory, service levels)
• Data from different systems can be connected or exported
• Data quality is maintained (minimal duplicates, consistent formats)
• Sensitive data is protected with appropriate security measures

Score: 5-7 checks = Strong data foundation. 3-4 = Adequate. Below 3 = Address data infrastructure first.

Section 2: Process Documentation Checklist

• Core business processes are documented (sales, operations, customer service)
• Process owners are identified for each major workflow
• Current process pain points are identified and prioritized
• Time spent on repetitive tasks has been quantified
• Integration points between processes are mapped

Score: 4-5 checks = Process-ready for AI. 2-3 = Some work needed. Below 2 = Document processes before AI investment.

Section 3: Technology Infrastructure Checklist

• Stable internet connectivity (minimum 10Mbps for cloud-based AI)
• Modern devices for staff (computers or smartphones capable of running business apps)
• Cloud storage or server for business data
• Business email and communication tools in use
• WhatsApp Business account active
• Basic cybersecurity measures in place (passwords, backups)

Score: 5-6 checks = Tech-ready for AI. 3-4 = Adequate baseline. Below 3 = Address infrastructure gaps first.

Section 4: Team & Change Management Checklist

• Leadership team is committed to AI transformation
• A champion/sponsor for the AI project is identified
• Staff digital literacy is assessed and adequate
• Change management plan exists for technology adoption
• Budget for staff training is allocated
• Key users are identified and willing to participate in implementation

Score: 5-6 checks = Change-ready. 3-4 = Address gaps with training plan. Below 3 = Prioritize change management.

Section 5: Budget & Investment Checklist

• AI transformation budget is approved after the scope and recurring costs are estimated
• ROI expectations are tied to a measured baseline and an agreed evaluation period
• Ongoing operational costs are budgeted (subscriptions, maintenance, support)
• Internal time allocation for the project is planned

Section 6: Strategic Alignment Checklist

• AI use cases align with top business priorities
• Competitive pressure for AI adoption is assessed
• Regulatory compliance for AI deployment is understood
• Customer/partner expectations around AI are considered

Your AI Readiness Score

Total checks: 25-30 = AI-ready; proceed with confidence. 18-24 = Nearly ready; address identified gaps while beginning low-risk AI pilots. 12-17 = Preparation needed; focus on data and process foundations. Below 12 = Early stage; build digital fundamentals before AI investment.

Next Steps with Hunter BI

Share your completed checklist with Hunter BI for a personalized AI roadmap. The assessment uses your scores to prioritize candidate pilots; the timeline, investment and evaluation criteria are defined after the scope and data are reviewed.

Download the printable PDF version of this checklist and contact Hunter BI for your personalized AI roadmap consultation.