'The test isn’t whether AI can do something. It’s whether it can make the process measurably better': We hear why businesses need to be more selective about where they’re using AI
OperationsBusiness AnalyticsManagement
THE AI ANGLE
Handling adaptive reasoning and unstructured triage within business workflowsAppian executive Gregg Aldana warns that organizations must stop mandating AI across every workflow and instead evaluate whether AI genuinely makes a business process measurably better. Applying probabilistic AI models to tasks that are already effectively handled by deterministic rules introduces unnecessary latency, technical debt, and governance costs. For faculty in operations, analytics, and management, this emphasizes the importance of problem-driven process orchestration that aligns traditional automation, AI agents, and human oversight with measurable business outcomes.
THE TEACHING ANGLE
Students can evaluate the operational trade-offs between cheap, predictable rule-based automation and adaptive AI agents to determine when the added governance and cost of AI are truly justified.Read the original at techradar.com Generate teaching or study materials
More in Operations
- Anthropic picks Accenture for in-house AI safety evaluationPhys.org — Technology · September 20, 2026
- A huge amount of employees are being encouraged to use AI at work - but most still don’t know whyTechRadar · September 20, 2026
- The 'robot relations' department may become reality in workplace of the futureCNBC — Technology · September 20, 2026
- The US Navy just told us what’s on its tech wish list for the next several yearsTechCrunch · September 20, 2026
- Seagate finds 'AI is increasing the value of data' but warns that 43% of businesses lack proper data storage infrastructure — 99% expect AI storage (and storage costs) to explodeTechRadar · September 19, 2026