In the age of artificial intelligence, many companies and professionals tend to incorporate this technology into every area and activity. However, does every process really need AI?
AI can make processes more agile, contribute to cost reduction, increase business volume, and provide many other benefits.
However, not everything necessarily needs artificial intelligence. Its advantages are particularly evident in processes involving many repetitive activities, large volumes of data, or simpler and more manual tasks.
On the other hand, in stages involving ethical decisions or in cases where processes are not yet well structured, AI may do more harm than good. This is because its role is to accelerate what already exists—and if processes are not properly structured, the technology will only accelerate the chaos.
When to Use AI in Processes
Artificial intelligence can help address bureaucratic tasks and accelerate organizational decision-making. However, companies need clear objectives, as well as organized and reliable information and data.
Therefore, it is important to understand that AI is for everyone, but not everyone is ready to use it to its full potential.
If your company’s planning is well structured, with clear objectives and goals that are accessible to everyone; if your processes are standardized and organized according to established standards; and if the information collected is accurate, consider using AI in processes with:
- High volumes of data;
- Repetitive patterns;
- Productivity bottlenecks;
- Processes that require trend forecasting.
On the other hand, avoid using artificial intelligence when:
- Processes require empathy and close human interaction;
- Decisions require ethical judgment, moral reasoning, fairness, or direct legal responsibility;
- Processes are infrequent, with low volumes and high costs.
How to Prepare for AI Adoption
Start by organizing what already exists, reviewing your strategic planning, and, if necessary, defining new business objectives. Map new processes and review existing ones to establish a solid process management structure, with workflows that can be automated and are ready to support a culture of continuous improvement.
Organize your data and information to ensure that generated reports are reliable and that the analyses based on them are consistent.
If your company does not yet have an established governance structure, now is the ideal time to implement one. Security policies for AI use should not be overlooked, nor should codes of conduct and other related documents.
Once everything is properly structured and functioning, organizational culture will become a powerful ally in disseminating the values, beliefs, standards, rituals, and stories that will help shape this new corporate identity.
Ongoing employee training is also essential to ensure that everyone is prepared to leverage AI’s full potential and achieve the expected results.
Before applying the technology to all processes, choose one to serve as a pilot project. Testing helps identify areas that still require alignment or adjustments.
Always remember that artificial intelligence depends on context. If your context is not structured and solid, the information generated by AI will not be either.
Structure Your Processes with Interact Suite
Interact Suite offers comprehensive solutions to structure every stage of your organization. Interact BPM, for example, includes solutions for strategic planning and corporate governance, process management, document management, and data analysis.
The multidisciplinary approach used by Interact BPM enables you to plan, document, analyze, model, design, execute, measure, monitor, control, and improve your organization’s processes.
In addition, it ensures that processes are linked to strategic planning, driving the business forward through intelligence, automation, and robotic process capabilities.
Interact Governance, which is also part of the solution, is a key component of Management 4.0, enabling an integrated view of corporate results through strategic maps, objectives, and key performance indicators.
It provides a solid framework for strategic planning and corporate governance, helping prepare the organization for AI adoption.
And speaking of Artificial Intelligence, the solution also provides AI-powered tools. Here are some of its key features:
- Automatically generate process models based on real execution data;
- Automate repetitive tasks through rules, validations, and calculations within workflows;
- Send automated email notifications;
- Monitor performance through dashboards and automated reports;
- Conduct strategic reviews by identifying risks, opportunities, and governance recommendations;
- Generate suggestions for new indicators based on existing data;
- Receive suggestions for actions within action plans and KRs for OKRs;
- Accelerate the review and continuous improvement process with data-driven support;
- And much more!
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