Know the difference
Deterministic automation and agentic AI solve different problems.
We use the simplest tool that does the job reliably. Many workflows need no AI at all, and we will say so.
Rule-based
Deterministic automation
Fixed rules and integrations. The same input always produces the same output, so it is predictable, testable and cheap to run.
- Best for: routing a form submission to the CRM, syncing fields between platforms, scheduled report assembly, alerts when a metric crosses a threshold.
- Strength: reliability and auditability.
- Limit: it cannot handle input it was not written for.
AI-assisted
Agentic AI
Language-model-based steps that interpret unstructured information and prepare drafts, summaries or recommendations. Output can vary, so it needs guardrails and review.
- Best for: summarising performance commentary, classifying free-text enquiries, drafting content briefs, proposing next actions for a person to review.
- Strength: handles messy, text-heavy work.
- Limit: it can be wrong, so consequential actions need human approval.
Most real implementations combine both: deterministic steps move and check the data, and AI-assisted steps interpret or draft, with a person approving anything that matters. We do not offer fully autonomous marketing operation.