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AI consulting · South Africa

Put AI to work on a well-defined problem.

Start with a specific task your team needs to do. We explore whether AI can help, what it needs to work with and how the result should be checked.

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Find the task where it can help.

The useful question is what the system must do with your information. Possible applications need assessment against your actual documents and requirements.

  • Extract information

    Explore whether agreed fields can be read from incoming documents and passed into a review or capture process.

  • Organise incoming records

    Consider classification or sorting to help a person find, review and route the information that needs attention.

  • Highlight possible gaps

    Assess checks against a defined requirement list, with source evidence and a responsible person reviewing the result.

Choose the approach the work needs.

A standard form, required field or straightforward reminder may solve the problem. We consider those options alongside AI and the tools your team already uses.

For a potential AI application, we look at the source information, the accuracy required, the cost of running it and the consequences of an incorrect result.

Evaluate it with representative information.

The scope needs to specify what the system should do, which information it can use, how results will be checked and when a person must review an uncertain or important result.

Testing needs examples of routine work and the difficult cases. A convincing demonstration on a few documents is only a starting point for that assessment.

When the need is learning or a wider decision.

Practical AI consulting here focuses on whether AI suits a particular task. A leadership learning need, employee skills programme or broader corporate roadmap has a different result and its own paid scope.

Give the result a place in the workflow.

When AI is appropriate, it needs a clear handover: where information comes from, who reviews the output and what happens next. If you choose to proceed with an Aitsa implementation, its workflow, integrations, testing and handover are separately scoped. Corporate training and roadmaps remain useful without that purchase.

See our workflow automation service

Work with Aitsa in Gauteng and North West.

Tell us where your team works and what needs to change. We agree the scope, delivery format and any travel or site-access arrangements before committing to the engagement.

Good questions

A little clarity
before we begin.

Ask your own question
Can AI approve compliance documents on its own?

An AI-assisted check can flag information for review against defined requirements. It does not provide automatic certification, legal sign-off or guaranteed site acceptance. The scope must identify the relevant specialist responsibilities and human review.

Do we need to move all our information into a new system?

The information and access needed depend on the proposed task. We assess the existing tools, permitted data use and integration options before recommending an approach.

Who pays for AI usage?

For an implemented system, the client pays the agreed AI usage and other platform running costs separately from Aitsa’s implementation fee. Tool access, licences and any other costs for training or advisory work are set out in that service’s proposal.

A useful place to start

More room for the work that moves you forward.

Bring a workflow to improve, a team that needs practical AI skills, or a decision about where to begin. Let’s find a useful next step.

Start a conversationA free first conversation. No commitment to a project.