Adygital Resources

Practical guides for scoping your AI, data and automation projects

Short materials to move from a general idea to a useful scope: processes to audit, data to verify, business rules to clarify and guardrails to plan.

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First available resources

This page brings together useful content to prepare a project before discussing tools. The library will deliberately stay short: each resource must help make a decision or scope an action.

Available

AI audit checklist

A short guide for auditing a process before choosing an AI tool or automation.

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Data quality guide

Reference points for making data reliable before an AI assistant, a report or a migration.

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Agent or automation reference

For choosing between an AI assistant, an automated workflow and a small business application.

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Checklist

5 criteria for auditing a process before launching an AI project

Before choosing a chatbot, an agent or an automation tool, take a real process and put it through the filter. The goal is not to document everything, but to spot what can be improved quickly, what needs to be made reliable, and what must stay under human validation.

Suggested use: pick a single process, gather two or three real examples, then answer the questions without looking for a technical solution straight away.

Audit a process with Adygital

Does the process consume a lot of manual time?

Which tasks are repeated every week or every month?
How many people are involved in the processing?
What part still relies on copy-paste, follow-up chasing or re-entry?

Is the data used reliable enough?

Are the sources known and up to date?
Are duplicates, empty fields or unstable formats visible?
Do teams know which data can be used without pre-processing?

Are the business rules explicit?

Are exceptions documented or only known by a few people?
Do decisions follow clear criteria?
Could a new team member understand the process without asking three colleagues?

Is human validation placed correctly?

What can be automated without major risk?
Which cases should remain as suggestions or drafts?
At what point does a person need to take back control?

Is the expected outcome measurable?

What gain are you looking for: time, reliability, turnaround, response quality, visibility?
How will you measure the improvement after a few weeks?
Is the scope short enough to test without a large-scale project?

Ready-to-use resource

Move from the checklist to a concrete case

If a process stands out clearly after these five criteria, Adygital can help you scope the perimeter, identify the useful data and choose the right level of automation.

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