AI Strategy
for SME organizations.
Discover where AI actually adds value within your organization and which steps contribute to greater overview, efficiency and growth.
The biggest challenge is not AI
AI is developing rapidly. Employees experiment with it, new applications appear daily and competitors take their first steps.
Yet the biggest challenge usually turns out not to be the technology itself.
The question is often much simpler:
Where does AI actually deliver value within our organization?
Many organizations see opportunities, but lack an overview. That is why a successful AI strategy does not start with a tool, but with insight into how the organization actually works.
An AI strategy does not start with AI
Many organizations start with a tool, a pilot or a separate application.
But without a clear picture of processes, information flows and bottlenecks, AI is often limited to experiments.
That’s why we don’t start with technology.
We start with the organization.
Where is time lost? Which processes require a lot of manual work? And where does complexity hinder further growth?
Only then will it become visible where AI can actually make an impact.
Why many AI projects deliver less than expected
AI can speed up processes.
But when processes are not clearly structured, technology usually does not solve the underlying problem. In some cases, existing complexity becomes visible even more quickly.
That is why we first look at processes, information flows and responsibilities. Only then will we determine where AI actually adds value.
Not the other way around.
Our approach
At iGiSNext we first look at how the organization actually works. We map processes, information flows and responsibilities and then determine where AI can contribute to greater overview, better decision-making and more efficient processes.
Not every challenge requires AI. That is why we first look at what the organization needs and then at what technology suits it.
Always with the same goal:
an organization that is ready for the next phase.
The first step to a successful AI strategy
A good AI strategy starts with insight.
Many organizations want to get started with AI, but don’t know where to start. The biggest challenge is often not the technology itself, but determining where AI actually adds value within the organization.
During the Organization & AI Scan we map processes, information flows and improvement opportunities. This makes it clear where AI has the greatest impact and which next steps are logical for further growth and development.
Schedule a no-obligation introductory meeting
Practical example: Less pressure on customer service
Situation
For an organization with many incoming customer questions, we developed a customer service email flow that automatically structures, prioritizes and prepares emails.
Solution
This created more peace within the team, less manual switching and more overview of the daily operation.
- Spend less time on mailbox management
- Faster follow-up of customer questions
- More overview and prioritization
- More peace within the team
“Previously, everyone was constantly going through mailboxes and determining their own priorities. Now there is finally more peace in the process and people no longer have to sort everything out manually.”
Less pressure on customer service
Situation
For an organization with many incoming customer questions, we developed a customer service email flow that automatically structures, prioritizes and prepares emails.
Solution
This created more peace within the team, less manual switching and more overview of the daily operation.
- Spend less time on mailbox management
- Faster follow-up of customer questions
- More overview and prioritization
- More peace within the team
“Previously, everyone was constantly going through mailboxes and determining their own priorities. Now there is finally more peace in the process and people no longer have to sort everything out manually.”