Key Intelligence Takeaways
- Start from the workflow and risk, not the vendor feature list.
- Ask how data, logs, access, changes, and incidents are handled.
- Clarify what the business must operate after purchase.
AI procurement can look like ordinary software procurement, but the system may generate outputs, handle sensitive information, use changing models, and require new review practices. These differences should be visible in the evaluation process.
A procurement checklist helps leadership compare options without treating a polished demo as proof that the product fits the organisation's workflow.
ANALYSIS // 01
Evaluate the actual task
Ask the vendor to demonstrate representative inputs, difficult cases, review steps, and the output that the business needs. Do not evaluate only the best-looking example.
The team should define acceptance criteria before the demo so the conversation stays connected to operational value.
- ✦Representative workflow
- ✦Edge cases
- ✦Acceptance criteria
- ✦Human review
ANALYSIS // 02
Review the data and security model
Understand data processing, access control, provider dependencies, logs, retention, deletion, incident response, and configuration boundaries. The organisation should know who can access its information and what happens when the service changes.
Security and privacy owners should be involved early, not after a preferred vendor has already been selected.
- ✦Data handling
- ✦Identity and access
- ✦Logging and retention
- ✦Incident handling
ANALYSIS // 03
Clarify total responsibility
A vendor may provide a product while the customer remains responsible for configuration, source data, review, training, integrations, and outcomes. Put these responsibilities in writing.
The best purchase decision is the one the organisation can operate and govern, not merely the one with the most features.
- ✦Implementation effort
- ✦Support model
- ✦Change process
- ✦Exit or migration path
SYSTEM SPECIFICATION
Turn this insight into a working production system
This insight connects directly to AI Consulting & Strategy. If this operational friction affects your organization, schedule an engineering discovery audit to scope the automated workflow.
AUTHOR & INTELLIGENCE LEAD
Elisha Roodt
System Engineering Team
Published natively by the technical execution arm of Artificial Intelligence South Africa. Focused on deployment reality, avoiding speculation, and advancing the South African technology tier.