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AI Automation Readiness Checklist

A practical checklist for deciding whether AI automation is a good fit for your business, and what to get in order before you start.

Most organizations don't start with a clear picture of where AI should be used first. This checklist walks through the questions Technovate asks during an AI Automation Assessment, so you can think them through before that conversation even happens.

Built around business value, process clarity, and responsible implementation.
WHO THIS IS FOR

Business leaders and operations teams evaluating AI for the first time.

This checklist is written for people who suspect AI automation could help but have not yet mapped out where to start, what it needs, or what could go wrong. You don't need to know the technology to use it. You need to know your own operations.

THE CHECKLIST

Five questions to answer before you automate.

01
Which repetitive tasks are good AI candidates?

Look for work that is high in volume, follows a recognizable pattern, and does not require deep judgment every time, such as answering common customer questions, routing messages, summarizing information, checking status, or moving data between systems. If the same question or task comes up dozens of times a week and the answer rarely changes, it's usually a strong candidate.

02
What information does an AI agent need?

An agent is only as useful as the knowledge and data it can reach, including product or service details, pricing logic, policies, past conversation history, or records in systems like Odoo. Before launch, map out which of that information already exists in a usable form, and which needs to be organized first.

03
Which workflows need human approval?

Not everything should run unattended. Decisions with financial, legal, safety, or reputational weight, such as refunds, contract terms, or sensitive complaints, usually need a human checkpoint even when AI helps prepare the response. Decide up front where the agent assists and where a person must sign off.

04
Which risks should be controlled before launch?

Consider what happens if the agent misunderstands a request, gives an outdated answer, or is asked something outside its scope. Good automation is designed with fallbacks: a clear handoff to a human, guardrails on what the agent is allowed to say or do, and monitoring so issues are caught early rather than discovered by a customer.

05
How should success be measured?

Decide what "working" looks like before you launch: faster response times, fewer repetitive tickets reaching your team, more consistent answers, or measurable time saved. Without a baseline and a target, it's hard to know whether the automation is actually creating value or just adding complexity.

WHERE THIS FITS

If most of this checklist feels unclear, that's normal.

Working through these questions on your own is a good first step, but you don't need every answer before reaching out. Technovate's AI Automation with RX Agents service starts by helping you answer exactly these questions for your own operations, then designs the automation around the answers.

FAQ

Common questions about AI automation readiness.

Do we need clean data before starting AI automation?

It helps, but it's not a hard requirement. Part of an AI Automation Assessment is identifying which information needs to be organized first and which can be connected as-is.

Can AI automation work alongside our existing systems?

Yes. RX Agents are designed to connect with the tools you already use, including Odoo, WhatsApp, email, and website forms, rather than replacing them.

How long does it take to know if AI automation is a good fit?

A Technology Assessment is usually enough to identify the first practical opportunity and give you a realistic view of scope, effort, and expected value before any commitment is made.

Ready to see where AI fits in your business?

Bring your answers to this checklist, or your uncertainty about them, to a Technology Assessment, and we'll help you find the first practical opportunity.