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AI automation ROI

Definition

The payback calculation for an automation: hours recovered multiplied by fully loaded hourly cost, against build plus running cost. Frequency dominates the result — the same build against a process running twice a month rarely pays back at all.

The arithmetic is simple and routinely skipped. Time per run, runs per month, fully loaded hourly cost, and the share the automation actually removes — which is never 100%, because someone still reviews the output.

A useful screening rule: if the process runs fewer than roughly twenty times a week, the payback is usually measured in years rather than months. That does not make it wrong, but it makes it a strategic choice rather than an efficiency one, and it should be argued as such.

Formula

Monthly saving = runs/month × minutes saved per run ÷ 60 × loaded hourly cost

Worked example

30 proposals a month × 60 minutes saved ÷ 60 × AED 250 = AED 7,500/month against a AED 30,000 build — four-month payback.

More in AI

Agentic workflow

A process where an AI system is given a goal rather than a script, and chooses its own sequence of tool calls to reach it. Distinguished from automation by being non-deterministic: the same input can produce a different route each run.

AI agent

An AI agent is a system that pursues a goal across multiple steps using tools — reading data, calling APIs, updating records — rather than producing a single response to a single prompt.

AI observability

Logging and monitoring for AI systems: what went in, what came out, which tools were called, what it cost, and how often a human overrode it. Without it, a misbehaving automation is undiagnosable.

AI readiness

Whether a business has the process documentation, data quality and decision ownership for AI to add value. Readiness is mostly organisational: the constraint is almost never model capability.

Automation debt

The accumulated cost of automations nobody owns: undocumented flows, forgotten triggers, and scripts that break silently when an upstream field is renamed. The AI-era version of technical debt.

Brand voice model

A brand voice model is a language model customised on a company's own copy, offers and guidelines so its output matches that brand's register, vocabulary and positioning without heavy editing.

All 87 terms
Put it to work

Definitions are free.So is the audit.

Thirty minutes on a call, then a written 5-page plan inside 72 hours showing where this actually applies in your funnel — and what it is worth fixing first.

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