
Apps, Workflows, or AI Agents? Choosing the Right Tool
transcript
show notes
In this episode of Support Engineering Weekly, Alex and Maya examine the architectural differences between human interaction, deterministic execution, and adaptive reasoning. Rather than starting with a technology choice, the discussion starts with the nature of the work and asks which execution model best fits it.
The episode begins with Power Apps and the role of applications in providing structured human experiences. It then moves into Power Automate and deterministic workflows, where triggers, rules, actions, expected outcomes, and auditability can be explicitly defined.
The discussion then explores AI agents and the situations where reasoning, ambiguity, unstructured information, multiple knowledge sources, and dynamic tool selection make agentic execution useful. Alex and Maya examine why an agent should not simply replace a deterministic workflow and why bounded tools, permissions, escalation paths, and observability matter when agents can take action.
The conversation then moves beyond the idea of choosing a single tool. Power Apps, Dataverse, Power Automate, AI agents, enterprise systems, and human decisions can be composed into a governed architecture, with each execution model responsible for the work it is best suited to perform.
Finally, the episode examines business data, governance, security, ALM, monitoring, licensing, AI capacity, and human-review costs.
The central lesson is simple: applications, workflows, and AI agents are not competing replacements for one another. They are different execution models that can coexist when architecture starts with the work.
Chapters
00:00 — Choosing the Right Execution Model
05:09 — Apps for Human Interaction
07:00 — Workflows for Deterministic Execution
10:22 — Agents for Reasoning and Ambiguity
14:50 — Composed and Governed Architecture
19:00 — Data, Governance, and Total Cost
22:44 — The Architecture Rule
Learn more:
The full technical article, references, and supporting resources are available through the Support Engineering Blog at https://blog.sadhan.ch/.






