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AI Readiness Assessment
AI Readiness Assessment
AI Readiness Result
Sample Page
AI Readiness Assessment
Shispare AI Readiness Assessment
Contact Information
Full Name
Company Name
Your Role / Title
Work Email
Mobile / WhatsApp (optional)
Industry
Select an option
Manufacturing
Logistics & 3PL
Retail / Ecommerce
Real Estate
Financial Services
Healthcare
Education
Government
Other
Annual Revenue Band
Select an option
< $1M
$1–10M
$10–50M
$50–250M
$250M+
Section A — Strategy & Leadership
(20 points)
Q1. [STRATEGY] Who owns AI strategy in your company today?
CEO, COO, or CFO with formal mandate
CTO or CIO
An Innovation Lead or middle manager
No one owns it formally
Q2. [STRATEGY] Do you have a documented AI strategy linked to specific P&L outcomes?
Yes, active and reviewed quarterly
Yes, but more than 12 months old
In draft / being developed
No documented AI strategy
Q3. [STRATEGY] How often is AI a board-level agenda item?
Every board meeting
Quarterly
Once or twice a year
Never / rarely
Q4. [STRATEGY] How is AI funded inside your company?
Dedicated P&L line item
Under IT budget
Pulled from innovation / R&D pool
Ad-hoc / per project / no budget
Section B — Data & Integration
(20 points)
Q5. [DATA] How many of your core enterprise systems (ERP, CRM, WMS/Ops, HRMS, Finance) are integrated into a unified data layer?
All of them — single source of truth
3 to 4 systems integrated
1 to 2 systems integrated
None — every system is a silo
Q6. [DATA] Can your AI tools currently read and reason across data from multiple systems?
Yes, seamlessly across all key systems
Partial — some systems integrated
Only with manual data export / extracts
No, each AI tool is isolated
Q7. [DATA] Do you have a documented data architecture or catalog?
Comprehensive, maintained, governed
Partial — some areas documented
Started but incomplete
None
Q8. [DATA] Where does your most valuable proprietary business data live today?
Centralized warehouse or lakehouse
Primarily inside ERP / CRM
Spread across multiple SaaS apps
Mostly in spreadsheets / files / inboxes
Section C — AI Initiatives & ROI
(20 points)
Q9. [ROI] How many AI initiatives are running in your company right now?
1 or 2, focused with clear outcomes
3 to 5, several connected to outcomes
6 or more, mostly disconnected pilots
Zero — or I don’t know
Q10. [ROI] Has any AI initiative delivered measurable P&L impact in the last 12 months?
Yes, multiple — tracked and verified
Yes, at least one
In progress, expected within 6 months
No measurable P&L impact yet
Q11. [ROI] Do you measure AI ROI in dollars (not adoption / usage rates)?
Always — financial KPIs owned by Finance
Sometimes — depends on the initiative
Rarely — mostly adoption metrics
No — we don’t measure AI ROI
Q12. [ROI] How quickly can you go from an AI idea to a production deployment?
Under 90 days
3 to 6 months
6 to 12 months
12+ months — or we never finish pilots
Section D — People & Capability
(15 points)
Q13. [PEOPLE] What does your AI engineering / data science capability look like?
Dedicated in-house team
Hybrid — internal lead plus trusted partner
Fully outsourced to external vendors
None — relying on standard SaaS only
Q14. [PEOPLE] Have your senior leaders been formally trained on AI fundamentals?
Yes — full leadership team
Some leaders trained
Only a few individuals
No formal AI training
Q15. [PEOPLE] Do you have governance for AI risks (hallucination, bias, compliance, IP leakage)?
Formal policy + active review process
Informal guidelines exist
Ad-hoc — case by case
No governance in place
Section E — Infrastructure & Sovereignty
(15 points)
Q16. [INFRA] Where do your AI workloads run today?
Cloud (in a sovereign UAE / GCC region)
Major public cloud (AWS / Azure / GCP)
On-prem / private infrastructure
Only through public APIs (ChatGPT, etc.)
Q17. [INFRA] Are you compliant with UAE PDPL and your sector’s data regulations for AI use?
Fully compliant — audited
Mostly compliant — gaps known
Working on it
Don’t know / not assessed
Q18. [INFRA] Do you have a plan for sovereign or on-premise AI in the next 24 months?
Yes — actively in progress
Planning stage
Considering it
No plan
Final Question
Q19. What is the ONE workflow in your business where AI would most move the needle if you got it right?
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