Archive
Deterministic vs agentic workflows compared: an eight-question step-level decision test, cost and reliability per step type, four hybrid patterns, and the two failure modes of choosing wrongly.
Read the guide →Monthly close preparation automation: the twelve pre-close tasks worth automating, a five-day countdown workflow, sub-ledger completeness checks, the operations-to-finance handoff and measured impact on close duration.
Read the guide →Sales pipeline cleanup automation: eight hygiene rules worth automating, blast-radius controls, why bulk updates need different governance, duplicate handling, and the reconciliation that catches wrong changes.
Read the guide →How to evaluate AI workflow automation platforms: six product archetypes, fourteen capability tests with pass criteria, a five-scenario bake-off, pricing patterns as archetype signals and three procurement mistakes.
Read the guide →AI workflow automation vs RPA compared: eleven dimensions, where RPA still wins outright, a bot triage framework, migration sequencing, cost comparison and the hybrid architecture most estates land on.
Read the guide →Exception handling in agentic workflows: six classes with handling policies, the escalation payload, retry budgets, exception-driven design, aggregation across runs and the metrics that reveal upstream change.
Read the guide →Resumable AI workflows: the seven state elements resumption needs, three recovery strategies, idempotency at resume, compensation design, the resume-safety test and what makes a step non-resumable.
Read the guide →AI workflow audit trails: the six evidentiary properties, what separates a trail from a trace, retention and integrity, the five questions an auditor asks about automated processes, and control mapping.
Read the guide →Agent workflow tracing: a fourteen-field span model, what reasoning to capture and what to discard, OpenTelemetry mapping, sampling that keeps the signal, retention tiering and the four questions a trace must answer.
Read the guide →AI workflow preview explained: the seven properties of a real preview, why fake previews are dangerous, side-effect-free resolution, drift between preview and execution, and how to measure preview fidelity.
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