Take the quiz and see if your infrastructure can handle AI or
if you're 6-12 months away.
1. How many employees does your company have
*
Under 25
25-50
51-100
101-175
176-250
250+
2. What's driving your interest in AI? (Select all that apply)
*
Executive/board pressure to implement AI
Competitors are already using AI
Want to reduce manual/repetitive tasks
Want to eliminate dependency on key employees
Need to modernize aging infrastructure
Exploring AI but no timeline yet
3. What industry are you in?
*
Manufacturing
Warehousing or Distribution
Logistics
Professional Services
Other
4. How is production scheduling currently done?
*
Modern cloud-based scheduling system
Legacy scheduling software (2000s-era)
Excel spreadsheets
5. Can you access real-time production data (machine status, output, quality)?
*
Yes, real-time dashboards (
Delayed data (updated daily or weekly)
No real-time data
6. Are your production processes documented or do they exist primarily in experienced operators' knowledge?
*
Fully documented
Partially documented
Mostly tribal knowledge
7. Does your WMS (Warehouse Management System) integrate with other systems (ERP, shipping)?
Yes, fully integrated
Partial integration
No integration (manual data transfer)
8. Can you track inventory in real-time?
Yes, real-time tracking
Delayed updates (daily)
No real-time visibility
9. Are pick routes and warehouse processes optimized or based on employee experience?
Optimized with data/systems
Mix of both
Based on employee knowledge
10. How do you manage client/project data?
Centralized system (CRM, project management)
Mix of systems and spreadsheets
Scattered across individual files
firm-data
11. Are your delivery processes documented?
Fully documented
Partially documented
Each person does it their own way
12. Can you easily access historical client/project data?
Yes, searchable database
Some data accessible, some not
Difficult to find past information
13. When was your primary business system (ERP, core platform) implemented?
*
2020 or newer
2015-2019
2010-2014
2005-2009
Before 2005
14. Where is most of your critical business data stored?
Primarily cloud-based (modern SaaS)
Mix of cloud and on-prem (about 50/50)
Primarily on-prem servers
Mix of on-prem and employee devices (
Don't know
15. Can your current network infrastructure handle cloud-based AI tools?
Yes, we're already running cloud workloads
Probably, but haven't tested
No, we'd need upgrades
Don't know
16. How many different systems store your critical business data?
1-2 systems
3-5 systems
6-10 systems
11-15 systems
15+ systems (or don't know)
17. Can your systems share data with each other automatically (via APIs or integrations)?
Yes, most systems are integrated
Some systems integrate, others don't
No, we manually transfer data between systems
18. Is your business data structured and organized, or scattered and unstructured?
Highly structured (databases, organized files)
Mix of structured and unstructured
Mostly unstructured (spreadsheets, documents, emails)
Complete chaos
19. What percentage of your critical business processes are documented (written procedures, SOPs, workflows)?
75-100% documented
50-74% documented
25-49% documented
Under 25% documented
Don't know
20. How many employees have been with your company 15+ years?
0-1
2-3
4-5
6+
21. If your most experienced employee left tomorrow, what percentage of critical processes would continue smoothly?
75-100% (processes are documented/systemized) (
50-74% (some disruption but manageable)
25-49% (significant disruption)
0-24% (operations would severely suffer)