How to Identify Which Tasks to Automate with AI in Your Company
Discussing AI automation is easy; implementing it correctly is another matter. Most organizations fail not because of the technology, but because they do not redesign the work before digitizing it.
Within AI strategy, this approach is known as work design and relies on two fundamental levers: automation and work allocation.
1. Automation: What AI Should and Should Not Do
Automation involves delegating to digital systems tasks that were previously performed by people. Algorithms and generative AI now make it possible to automate everything from data classification to content generation.
However, several points are essential:
- Automation is not absolute; it is progressive.
- The greatest value comes from human–machine collaboration.
- AI does not replace human judgment; it complements it.
To determine what to automate, it is useful to classify work into six categories:
- Creative work—ideas and concepts: Limited automation potential
- Expository work—documentation, presentations, and writing: Partial automation can be highly effective
- Information gathering: Highly automatable
- Analysis and modeling: Best suited to a hybrid approach
- Computational work—calculations and data matching: Highly automatable
- Physical work: AI is primarily useful as a support capability
In practice, the highest initial returns are generally found in:
- Information gathering
- Computational processes
- Expository production, particularly first drafts
2. Work Allocation: Assigning Work to People, AI, and the Right Location
The second lever is work allocation. This involves assigning tasks to the most appropriate resource based on:
- Quality
- Cost
- Speed
- Specialization
Digital technology now enables companies to distribute responsibilities among employees, remote teams, service providers, and AI without losing coordination. This improves efficiency and reduces operational bottlenecks.
3. How to Get Started in a Structured Way
A practical approach consists of the following steps:
- Select a critical process.
- Review it from beginning to end.
- Classify every task by type of work.
- Identify candidates for partial automation.
- Implement a pilot with human oversight.
- Redesign how the released work and capacity will be allocated.
4. The Role of AI Consulting
A strong AI implementation does not begin with a tool. It begins with redesigning the process and the work itself.
The right consulting support helps organizations:
- Identify genuine automation opportunities
- Redesign human–machine collaboration
- Implement governance, metrics, and organizational adoption
The objective is not to “use AI,” but to improve business costs, quality, scalability, and resilience.