What is an AI First company – and are you already one?
AI First Enterprise or Not? They notice it in everyday life.
Meetings take longer than necessary, decisions are based on experience instead of real-time data, and it is often individual employees who coordinate processes “in their heads”. Perhaps you already have the feeling that more could be done – more efficiently, clearly, faster.
And yes, maybe you have already tested ChatGPT. In marketing. In sales. For the first draft of an offer or to generate ideas. But hand on heart:
Is that enough to be an AI First company?
What does “AI First” really mean?
“AI-First” is more than a fancy label. It’s not about using AI somewhere – it’s about fundamentally changing the way a company works.
Three brief demarcations:
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AI-enabled: There are AI tools in use selectively.
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AI-ready: The database is right – but little is happening yet.
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AI-First: AI is a strategic component of value creation and part of every decision.
An AI First company thinks differently:
It plans, decides and optimizes on the basis of intelligent systems. And it is not only changing tools – but ways of thinking, processes and role understandings.
Why is this so relevant in professional services?
Service companies do not sell a product. They sell know-how, time, project quality and trust.
And it is precisely in this environment that typical challenges arise:
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Project planning depends heavily on gut feeling.
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Knowledge is distributed – in minds, notes, Excel sheets.
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Processes differ from team to team.
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Decisions take time – because information is missing or has to be compiled manually.
AI-first approaches can bring enormous advantages here:
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Better resource planning through predictions based on historical project data
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Faster quotation processes with automated analyses and text generation
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More transparency for all parties involved – without additional effort
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Less manual work on reports, forecasts or quality assurance
Ask yourself:
How many of your decisions are truly data-based – and how many are based on feeling, experience, or spontaneous votes?
Am I AI First yet? A Brief Self-Examination
Not sure where you stand? Here is a small checklist:
✅ Do we have a clear vision of how and where AI should be used in our company?
✅ Are our decisions actively supported by data – not just experience?
✅ Are there productive AI applications – beyond pilot tests?
✅ Is the topic of AI visible and strategically anchored at C-level?
✅ Can departments work independently with AI-supported tools?
If you could only tick one or two boxes here: No problem. The trail starts right there.
How do you take the first step – without turning everything upside down?
Many companies shy away from strategically anchoring AI. The topic seems too big. Too technical. Too expensive. But this is exactly where the misunderstanding lies.
An AI-first mindset is developing step by step. For example:
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Start with a clear, data-driven use case (e.g., quote automation, customer communication, forecasting).
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Improve data quality – fewer data silos, more common foundations.
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Train, empower, and engage employees.
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Bringing IT, business departments, and senior management to the same table.
Technology can help with this – but it’s not the first step.
The first step is a conscious decision: “We want to work smarter – and we know that won’t happen by itself.”
Conclusion: AI-first is a cultural change – not a tool upgrade
Anyone who sees themselves as an AI First company does not only think in terms of software. But in better decisions, more sustainable processes and a smarter organization.
Test: Where does your company stand on the path to AI-first?
Our AI maturity check for professional services helps you determine your current situation – quickly, free of charge and practically.
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