AI and automation
Why AI here, and why would an agent be better than a fixed workflow?
AI belongs where interpretation, production or a genuinely variable investigation is a valuable bottleneck. It must improve accepted work, decision usefulness or total operating cost after checking and correction. The statement “AI can do it” is insufficient. sourcesAGT §§1–5,56–61AI Agent and Automation Operating Architecture — Automation architecture; explicitly no proven commercial agent result.RT §§33–40AI Augmented GTM Red Team Verdict — Red Team; claim audit, investment challenge and simplification.Evidence for this chapter · 9 claim records
Select the mechanism
ModelM08Model- If the logic is stable and explicit, use a rule, query or native workflow.
- If the need is prediction, compare an appropriate statistical model with a simple baseline.
- If unstructured evidence needs synthesis or a draft, test a bounded generative step.
- If valuable next steps and tool selection change with discovered context, consider an agent comparison.
- If the outcome cannot be evaluated or the consequence is ambiguous and material, retain human judgement and execution authority.
Manual → standardise → deterministic automation → optional AI step → justified agent → separately justified authority expansion is a dependency sequence, not a compulsory destination.
Text version
- Rule: If the logic is stable and explicit, use a rule, query or native workflow.
- Model: If the need is prediction, compare an appropriate statistical model with a simple baseline.
- AI: If unstructured evidence needs synthesis or a draft, test a bounded generative step.
- Agent: If valuable next steps and tool selection change with discovered context, consider an agent comparison.
- Human: If the outcome cannot be evaluated or the consequence is ambiguous and material, retain human judgement and execution authority.
Mechanisms within tasks, not a ladder. Use this model with the conditions and limits described above.
When AI is the wrong tool
Use deterministic software for Finance arithmetic, canonical metric retrieval, customer identity, consent enforcement, assignment, caps and exact approved transactions. Use qualified human judgement for strategy, major investment, pricing, novel claims and complex customer consequences. Native platforms may already provide bidding, routing and campaign execution. A low-volume task may be cheapest to leave manual.
Generative AI can assist customer theme extraction, comparison of market evidence, performance hypotheses, creative drafts and signed-result briefing. It cannot infer a causal answer just because its explanation is plausible. It cannot certify legal compliance. The Prompt Library is limited to six such workflows; calculations and production authority remain elsewhere.
What an agent changes
An agent selects permitted next steps or tools in pursuit of a bounded task, using feedback. A scheduled prompt, report generator or fixed chain of known calls is not an agent merely because it runs unattended. Remove dynamic selection: if quality remains comparable, use the fixed workflow.
No Play requires an agent. A justified candidate starts read-only, with purpose-scoped data, allowed tools, a version, owner, limits and a stop condition. Multiple agents need evidence that isolation, context or independent review improves end-to-end work enough to cover handoff and operating cost. Agreement among similar models is not independent evidence.
Related
Evidence for this chapter9claims reviewed, with confidence ratings, limits and sources.
Claim classifications
Accepted means a principle or mechanism survived critical review, not that it guarantees a return. Accepted with conditions means prerequisites apply. Qualified means the original claim has been narrowed. Advanced needs substantial readiness. Experimental needs a capped comparison. Unresolved means the evidence cannot settle the claim. Rejected means the recommendation is excluded.
High, Medium and Low describe confidence in the stated target, not the chance of a positive ROI. For a Qualified or Rejected historical claim, confidence applies to the decision to narrow or reject it and to the supported limit—not to the original headline. Read the headline and classification together. An accounting identity or design principle is not empirical evidence of a commercial outcome. Follow the linked chapters, Plays and tools to see where each claim applies.